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Job Description

Working as a Data Scientist at Verisk means:

• Being part of and contributing to a large, vibrant community
• Understanding problems in multiple verticals including P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, Geopolitical Security
• Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, and Voice and Speech Analytics to develop solutions to those business problems
• Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, 90%+ of Insurance Claims in the US, 95%+ of Credit Cards transactions in the US and UK, 7 million+ Safety Data Sheets, and Information on 3 million+ oil and gas wells
• Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis
• Working with cutting-edge technology, and continuously developing new skills and capabilities

Purpose of the role:

• Development of analytic solutions in support of increasing the efficiency of Verisk processes, enhancing Verisk’s current products, and developing new products.
• Lead projects with up to two more junior analytic scientists
• Development of analytic interns (that you are responsible for)
• Contribute to the development of the Verisk Analytic Community.

Primary Goals to Be Assured:

• The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.
• The incorporation of technical innovations and new developments in relevant analytic fields
• The development of analytic intern analysts that you are responsible for
• The sharing of important methodologies, advances, and best practices from your work among the whole analytics community

Specific Responsibilities:

The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.

• Design analytic solutions to identified problems
• Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, and Automated Speech Recognition.
• Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability.
• Ensure that solution is delivered in a timely manner.

The incorporation of technical innovations and new developments in relevant analytic fields:

• Keep abreast of technical innovations and new developments in relevant analytic fields
• Consider these innovations/new developments when designing analytic solutions

The development of analytic interns that you are responsible for:

• Identify training opportunities and project opportunities that can help develop the analytic interns that you are responsible for.

The sharing of important methodologies, advances, and best practices from your work among the whole analytic community:

• Help organize these forums for developing Verisk’s analytic community
• Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums

Success Criteria

•  Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc
•  Positive feedback on the support received from business partners
• Advancement of analytic interns that you are responsible for
• Positive feedback from analytic interns that you are responsible for
• Positive feedback from team members and leaders of the Verisk analytic community

Qualifications

• Bachelor’s in quantitative field with 8-12 years of relevant experience, or Master’s in quantitative field with 6-8 years of relevant experience, or PhD in quantitative field with 3-5 years relevant experience
• Strong programming skills, particularly in one or more of Spark, SAS, R, Python, C
• Ability to solve problems analytically and creatively
• Strong communication (written and oral) skills
• A depth of knowledge in one or more of Big Data Platforms, Predictive Modeling, Entity Resolution, Time-series Forecasting, Graph Databases, Network Analytics, Neural Networks, NLP, Computer Vision, ASR
• Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases

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About PriceHubble

PriceHubble is a European B2B company that builds innovative digital solutions for the financial and real estate industries based on property valuations and market insights. Leveraging big data, cutting-edge analytics, and great visualization, our product suite brings a new level of transparency to the market, enabling their customers to make real estate and investment decisions based on the most accurate data-driven insights (such as valuations, market analyses, value forecasts, building simulations or energy performance insights) and enhance the dialogue with end consumers. PriceHubble's digital solutions are designed to help all players across the entire real estate value chain (banks, asset managers, developers, property managers, and real estate agents). PriceHubble is already active in 11 countries (Switzerland, France, Germany, Austria, the United Kingdom, Japan, Netherlands, Belgium, Czech Republic, Slovakia, and the United States) and employs more than 200 people worldwide. 

The opportunity

At PriceHubble, we organize our teams into Tribes. Each Tribe is responsible for a specific part of our product. They identify customer needs, create solutions, and ensure everything runs smoothly. Each Tribe operates independently, managing all aspects of its area. Engineers rotate between project teams and a group focused on maintenance and technical improvements.

The Property Intelligence Tribe provides insights to make informed real estate decisions. This includes assessing property values, tracking market trends, evaluating investment opportunities, and improving property management. Our mission is to deliver accurate property information for every residential property in our areas of operation. In that, Tribe members create the unique insights and intellectual property that drive our products.

The Tribe is a distributed team of engineers from 6 nationalities, located in 5 different European countries.

As an applied Senior Data Scientist, you will work on the ML systems that drive the core services of our platform. You will design, implement, and maintain Automated Valuation Models (AVMs) that professionals trust for assessing residential property values.

The impact you will have

• Develop product features that directly drive revenue growth. Our valuation models are major selling points for our customers.
• Navigate cost-value trade-offs to make decisions that deliver value to customers at an appropriate cost.
• Implement solutions that work well in over 10 countries, while considering local specifics in your model.
• Lead a project from concept to launch, working with a temporary team of engineers.
• Raise the bar and drive the team to deliver high-quality products, services, and processes.
• Improve the performance and cost-efficiency of our ML models and pipelines at scale.
• Maintain and monitor the ML systems owned by your team.

What we look for

• A product-oriented mindset and enthusiasm for contributing to user-facing products. For you, ML is a means to an end – you're focused on delivering value to customers.
• Excellent English communication skills, both spoken and written, that allow you to communicate effectively with cross-functional partners and mentor fellow engineers. In our distributed team setup, strong writing communication skills are essential.
• Hands-on, you value writing clear, simple, and maintainable code. You understand that code is read more often than it is written.
• You embrace a growth mindset. You always continue learning and always seek new challenges. 
• Over 3 years of industry experience applying machine learning to solve business problems and writing production ML pipelines.

Bonus

• Previous experience in PropTech.
• Proficient in working with geospatial data and leveraging geospatial features.

We're actively seeking applications from candidates of all backgrounds.

Join an ambitious and hungry team and enjoy the following benefits:

???? Competitive salary because we always want to attract the best talents.

???? Learning & Development program - We want you to feel happy, confident about improving your skills, experience level as well as your personal development success.

???? Very well-located offices with a great remote work policy and the possibility to work from different places.

???? Flexible working hours and work life balance.

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Job Description

The Analyst will work as part of a retail client-dedicated team to deliver on client needs and drive value. This individual will be responsible for all analysis components, including designing and executing models, analyzing results, creating deliverable materials, and supporting presentation/training/tool delivery.

RESPONSIBILITIES:

Drive Client Value

• Conduct required research and analysis to identify trends and patterns in data to glean insights aligned to client business issues and formulate findings into a story
• Thoroughly perform quality assessments on large datasets, quickly assessing potential errors and developing solutions to address them
• Create Excel and PowerPoint deliverables in addition to deliverables in NIQ proprietary software solutions that provide error free, on-time results
• Create and execute tasks detailed on a project plan including collecting, organizing, and tracking data inputs as well as leading internal meetings
• Build and grow effective relationships with key contacts and decision makers at your client organization
• Develop mastery of proprietary NIQ tools and metrics, which you will use to help solve your clients most pressing business questions

Learning and Professional Development

• Seek out learning and development opportunities such as advancing technical skills, retail expertise, or expanding solution knowledge
• Contribute to creating/maintaining an environment team members are proud to be a part of and others want to join
• Train and mentor new associates as they join the team/NIQ
• Appropriately escalate concerns/issues to team leadership and/or cross-functional teams in a timely and productive manner when needed

SUCCESS CRITERIA:

• Ensures quality and timeliness of delivery (i.e. no re-work, on-time, etc.)
• Delivers work efficiently and seeks opportunities to increase efficiency
• Executes work assigned independently and manages workload, as well as shifting priorities, effectively
• Collaborative team member receiving positive feedback from both teammates and client
• Proactively identifies client issues and identifies solutions
• Pushes the envelope sharing new ideas & creative solutions
• Learns about retail clients and our analytic solutions to solve their business issues
• Analytical mindset; inquisitive; problem solver; self-starter
• Storyteller; strong written and verbal communication; collaborative

Qualifications

You confidently manage data, and care about the people behind every number. You constantly seek to learn new things and lean into new capabilities. Change excites you and you’re not afraid to speak up when you need assistance. Curiosity, communication, and critical thinking drive your work—whether you got your start in retail, sales, consulting analytics, or otherwise.

• Bachelor's Degree required
• Ideally 6-24 months experience
• Consumer Packaged Goods or Retail industry experience preferred
• Proficiency in Microsoft Office (Excel, PowerPoint, etc.)
• Proven problem-solving skills using deductive reasoning, understanding hierarchical relationships, and identifying gaps in logic
• Strong oral and written communication skills
• Ability to multi-task and successfully manage projects independently
• Demonstrated project management skills and ability to manage multiple priorities
• Experience with syndicated data a plus

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Axurians are innovators at heart, driven by a mission to make the internet safer for everyone. Our core values of putting the customer first, taking true ownership, and pursuing smart results define our unique culture. We offer a dynamic and flexible environment where creativity, maturity, and initiative are celebrated. As part of our global, world-class team, you'll collaborate across borders to deliver cutting-edge external cybersecurity solutions. Join us at Axur, where your ideas and expertise will shape the future of digital experiences.

This opportunity, like all our other openings, is also open to professionals with disabilities (PwD).

Are you passionate about data governance? Do you want to help make the Internet a safer environment?

We're looking for a Data Governance Analyst who is aligned with best practices and committed to upholding high standards in data privacy and security. We are looking for an organized, communicative, and proactive individual who can analyze and interpret complex privacy, information security, and governance requirements, driving growth across the entire Axur team. And you can work remotely from anywhere in the world!

A typical workday might include:

• Collaborating with internal stakeholders to gather the necessary information and documentation to accurately respond to privacy, information security, engineering, corporate, and data governance issues assessment questionnaires.
• Analyzing and interpreting complex privacy, information security, engineering, corporate, and data governance requirements, and translating them into clear and concise answers.
• Maintaining a deep understanding of Axur's privacy, information security, engineering, corporate, and data governance policies, procedures, and controls.
• Staying up-to-date on industry best practices and regulatory requirements related to data governance, data privacy, and corporate governance.
• Assisting in maintaining a central repository of data privacy, information security, engineering, corporate, and data governance documentation and resources.
• Supporting the development and delivery of privacy, information security, engineering, corporate, and data governance training and awareness programs.

Indispensable Requirements;

• Fluency in Portuguese and English;
• Experience in data governance, privacy, compliance, or risk management (no minimum experience required, but we value candidates with practical experience in the field);
• Familiarity with relevant data privacy regulations (e.g., LGPD, GDPR);
• Strong written and verbal communication skills in English and Portuguese~;

Additional Qualifications.

• Experience working in the cybersecurity industry.
• Fluency in spanish.
• Knowledge of data security standards and frameworks (e.g., ISO 27001, NIST).
• Familiarity with data management tools and technologies.

• Home office assistance: an allowance of R$ 2,000.00 in the first month to buy all the items for your home office. Axur will send only the laptop (which must be returned to the company in case of departure);
• Flexible benefit of R$ 924,00 per month;
• Health insurance and dental plan (Bradesco Top Nacional);
• Prudential Life Insurance;
• Annual Employee Bonus Plan;
• Possibility of Employee Stock Options Plan (equity participation in the company);
• Anywhere Office work model;
• Super flexible hours;
• TotalPass;
• Language classes and a platform for study with more than 25 idioms.
• Culture focused on the individual development of Axurians (360º evaluation and Individual Development Plan (IDP);
• Agreements and partnerships for individual development (Coursera, Udemy, OpenEnglish, Fisk, MBA USP ESALQ, and others);
• Internal Rewards Programs (Best Recruiters, and others)
• Parental Leave Program (Pregnant and Companion; Adopter and Adaptation period).

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As Data Managerat our Global Office, you are part of a team that brings the legend of Belmond to life. You will be responsible for managing the journey of the company’s data including revenue, guest information, customer satisfaction, marketing campaigns and many more. You will take the lead in ensuring accuracy and efficiency along with sound governance. If you are looking to be a part of the future of luxury, this is your moment.

Primary Responsibilities Include:

• Onboarding of new data sources in our data platform in collaboration with IT, Data Science and Business Insight teams.
• Collaborate with Project Managers for ongoing and future projects involving the data platform and CRM.
• Identify and implement improvements to ensure our data is always accurate and complete.
• Provide tools to monitor and improve data accuracy and completeness.
• Manage the day-to-day running and enhancements to the global infrastructure.
• Work with stakeholder teams of Digital, Brand & Marketing, Commercial and Sales teams to ensure that their data needs are met.
• Responsible for setting up processes to ensure long term data accuracy.
• Collaborate and communicate with local operational teams, IT departments and Data Owners/Stewards/Custodians.
• Ensure stringent data protection policies are always adhered to.
• Drive designated data focused projects and initiatives.
• Main stakeholder of the relationship with vendors and third parties relating to the CRM platform.

What you should know when applying...

• The role is generally able to benefit from our current hybrid working policy where team members can work remotely for up to two days per week.
• It is expected that the application deadline will be 11 November 2024. However, an early application is encouraged as the position may close sooner if a large volume of applications is received. You may apply after this date but priority will be given to applications received by the deadline.
• To streamline our application process and ensure all submissions are efficiently managed, we kindly request that all candidates submit their applications through our designated recruitment platform.
• The Global Office is currently based at Victoria House, Bloomsbury Square, London. From late 2024, we will be moving offices to Wogan House, 99 Great Portland Street. Wogan House is currently undergoing comprehensive renovations with brand-new fitted office space under the management of a leading co-working space and property management company.
• Applicants must have eligibility to work in the UK.

The Belmond & LVMH Family  

The Belmond global collection of iconic hotels, trains, safaris and river cruises is proud to be part of LVMH, all creating exceptional experiences worldwide. When you join Belmond, you join a global family of history-rich hotels and breathtaking destinations, where our employees are at the heart of the Belmond experience.  

About Us

Belmond was born from a passion for connecting discerning travellers with the world’s most remarkable properties, locations and journeys. From hotels and trains to river cruises and safaris, Belmond curates incomparable experiences and crafts unforgettable stories. With a legacy spanning over 45 years, since the acquisition of Hotel Cipriani in Venice in 1976, Belmond has grown into a global collection of 47 properties spread across 28 countries and territories. Exceptional destinations connected by legendary journeys are the very soul of Belmond, where the path that brings you to a place is as important as the destination itself. A pioneer of slow travel, Belmond has been operating the Venice Simplon-Orient-Express since 1982. The group later expanded to include pristine beach resorts, such as Maroma on the Riviera Maya, historic hideaways such as Villa San Michele in the Florentine foothills, urban icons, such as Copacabana Palace in Rio de Janeiro, and gateways to UNESCO world heritage sites, such as Hotel das Cataratas in Brazil’s Iguassu National Park. As proud custodians of storied properties, Belmond is committed to building on the past to create a new legacy: the heritage of the future. Working with communities and local talents, together with the world's most respected chefs, designers and artists, Belmond continues its purpose of perpetuating the legendary art of travel. Since 2019, Belmond has been part of the world’s leading luxury group, LVMH (Moët Hennessy Louis Vuitton).

What you bring:

• A Bachelor's degree in a relevant field such as Business, Economics, Mathematics, Statistics, Data Engineering, Data Science or equivalent experience.
• Experience with Salesforce data.
• Experience with Google Cloud Platform (Big Query).
• Experience of managing multiple projects concurrently.
• Experience in data engineering.
• Experience in data governance.
• Coding experience using SQL, Big Query and/or Python.

What We Offer:

At Belmond, we pride ourselves on fostering a culture built on kindness, active listening, and genuine connections with our colleagues and guests. We offer a comprehensive range of compensation, perks and benefits including:

• Competitive salaries and incentive plans
• Complimentary and preferred rate experiences at our iconic destinations
• Private Medical Insurance and Dental Plans
• Group Personal Pension Plan
• 33 days’ annual leave per year (inclusive of English Bank Holidays).
• Lifestyle and Employee Assistance Programs
• Onsite gym facilities

 We strive to create an environment where our employees can thrive both personally and professionally. With a commitment to your ongoing development, you’ll have the opportunity to learn and grow alongside some of the most talented individuals in the industry. Join us and be part of creating unforgettable moments for our guests, communities and each other.

This is your moment. Apply today!

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Carry1st is Africa’s leading publisher of mobile games and digital content. Operating at the intersection of games, publishing, and fintech, we scale awesome content in frontier markets by solving hard problems.  Across our publishing and Pay1st business lines, we are partnered with top global game companies like Riot Games, Activision, and Stillfront.  We are backed by top investors like: a16z, Bitkraft, Google, Konvoy, Riot Games, Sony and Nas.

As a Marketing Data Analyst you will generate insights into our players and our acquisition campaigns, leading to strategic recommendations and operational optimisations that drive cost efficient acquisition of high-valued customers.

You will...

• Insights & Optimisation: Utilise advanced analytics to identify trends, patterns, and opportunities, translating these into strategic recommendations and/or operational optimisation
• Business Needs to Analytical Solutions: Collaborate with cross-functional teams to translate business questions & hypotheses into structured analysis, defining key metrics to track success.
• Reporting: Develop, operationalise, and maintain dashboards & automated reports -  to visualise key performance indicators for senior management and to aid operational decisioning for marketing teams
• Experimentation: Design and evaluate A/B tests to validate hypotheses, using deep dives and segmentations to further guide the UA roadmap.
• Data Management: Ensure data accuracy and integrity, establishing best practices where there is no single source of truth.

What makes you a great candidate?

• Strong understanding of the mobile advertising space - networks, bidding systems, & algorithms - and fluent with the key funnel metrics - CTR, CVR, CPI, ARPU, Retention,  LTV
• Fluent in SQL. Proficiency in Tableau and Python pluses.
• Strong analytical skills backed by statistical fundamentals
• Strong problem solving acumen backed by the ability to tackle ambiguity
• Excellent communication and collaboration skills to work cross-functionally with Marketing, Product, and Data teams

What will it be like to work at Carry1st?

Carry1st is a fast-paced and dynamic place to work. Our team is diverse and global as we operate fully-remotely across 25+ countries. At Carry1st, you will have the opportunity to…

• Build awesome, industry-changing products, every day
• Grow with a VC-backed startup at the intersection of gaming and fintech
• Work from anywhere in the world with international teammates
• Own shares in the Company - enabling you to benefit from the value you create 

Some additional perks…

• Co-working excursions: Travel to meet your colleagues in cities around the world
• Awesome equipment: Get everything you need to work effectively 
• Remote working allowance: Put an additional $600 / year to optimise your WFH experience
• Learning and development: Attend courses, conferences and training events
• Social events: Participate in regular company events to relax and connect with teammates
• Birthday leave: Enjoy a paid day off on your special day  

We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. Join us!

Learn more about Carry1st…

• Andreessen Horowitz shared why they invested in Carry1st
• VentureBeat announced that Carry1st has raised $27 million to develop and publish mobile games in Africa
• Remerge hosted Cordel on a podcast to discuss Carry1st and the African gaming market

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At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their money. And now, the team is growing!

About the Role

We are looking for an exceptional Data Analyst to join the team and help expand the value we deliver across Plum.

You will be part of a well established Product Analytics team, consisting of Data Analysts embedded across Product, Marketing and Operations, supporting the companies decision making through data.

What will you do

• Become domain expert across an area at Plum, establishing yourself as the point of contact for analytical support.
• Help the teams you work with identify the opportunities (new features, products, bugs etc) they should focus on, by linking these to impact on the metrics of interest.
• Propose and define success KPIs and guide the teams towards data-driven decision making around these.
• Work closely with Product Managers, Engineers and Marketeers at Plum to impact size opportunities and estimate the impact these had once released.
• Produce deep dive analysis that influence the trajectory of the team’s roadmap.
• Data modelling and analysis of key concepts, KPIs and patterns using dbt, BigQuery and SQL.
• Create interactive and informative dashboards and reports in Looker.
• Plan, implement, and analyse A/B tests to evaluate the impact of new product features against KPIs.
• Most importantly, you will have the opportunity to work on a modern Data platform (BigQuery, Looker, dbt), surrounded by an eclectic team of great Data professionals covering areas such as Product Analytics, Data Science and Data & Analytics Engineering.

Who you are

• You have strong analytical intuition with a demonstrated ability to solve complex problems and extract actionable insights from data.
• You demonstrate ability to work independently and with rigour, whilst optimising for impact.
• You can collaborate effectively within cross-functional teams (Product, Engineering, Design, Marketing), translating business requirements into strong technical solutions.
• You value attention to detail and know how to balance quality and speed.
• You are impact driven, love a challenge, and have a self-starter mindset.
• You’re team-oriented, keen to share your knowledge and grow professionally.
• Previous experience on Fintech, B2C digital businesses and/or fast-paced scale-up environments is very valued.

Plum's Perks

• We're in this together! Own part of the company through stock options ????
• Annual training budget
• Private Life Insurance - Ethniki Asfalistiki
• Provident Fund - Ancoria Bank
• Free Plum Premium subscription (normally £9.99 a month)
• Free parking slots
• 25 days holiday a year, excluding public holidays
• Employee referral scheme up to €4000
• Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in Nicosia for optimal collaboration
• 45 days work from anywhere
• Team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee
• 1 day paid leave for volunteering, supporting you giving back to society
• Enhanced parental leave
• 2 weeks paid sabbatical after four years of service
• Team trip to secret destinations once a year ✈️
• A vibe that’s ????????????

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam ????

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

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Job Description

Our Fortune 100 financial services client is seeking a part-timeSr. Data Analyst with significant experience in the payments industry to support their card partnership with a global airline.  The Sr. Data Analyst will analyze card transaction data and merchant fees to identify strategies to optimize costs and improve the client's financial performance.

The Details:

• Location: Remote (Atlanta, GA area preferred, as there may be occasional onsite work required)
• Part-time: Approximately 10 hours per week with a flexible schedule
• Duration: 6-month consulting role with possible extension
• Benefits: We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What you’ll do:

• Analyze airline credit card transaction data from various internal and external sources to develop actionable use cases aimed at enhancing operations and profitability.
• Review and assess the client's merchant fees across domestic and international markets, identifying opportunities to reduce fees.
• Provide detailed insights and recommendations to business stakeholders that support operational improvements and cost reduction strategies.
• Suggest, prioritize, and communicate use cases for leveraging data insights to drive business impact.

Qualifications

• Minimum of 5+ years of experience in the payments industry, with in-depth knowledge of transaction processes and merchant fees.
• 6-10 years of overall professional experience in data analysis or a related field.
• Demonstrated experience in analyzing large, complex datasets and deriving actionable insights.
• Strong communication skills, with the ability to present findings to both business and technical stakeholders to drive decision-making.
• Proficiency in SQL, Tableau, SAP S/4HANA Finance, and the AWS Finance module.
• Ability to work effectively with technical teams across multiple levels and translate business needs into data insights.

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Job Description

As the Workforce Analystat Keypath Education, you will provide deeper insights to our workforce capacity to respond to our work volumes across multiple functions and media.  You will collaborate with staff across Student Operations to ensure that workforce data will be provided to support both tactical and long-term decisions relating to the workforce.

The role supports the Workforce Manager effectively implementing workforce planning strategies and change, undertake scenario modelling and develop prediction techniques. You will monitor and drive effective contact centre performance across all queues and contact types in real time to deliver outstanding customer service. Your role involves analysing data, adjusting staffing levels, and communicating with team leaders and Keypath student advisors to address any immediate needs or issues

In this role, you will have to ensure that the Contact Centre meets student expectations through effective real time monitoring and strategies and empower them to deliver on driving student advocacy through supporting tools and processes. Provide stakeholders accurate and immediate reporting around drivers behind queue performance challenges through regular forums and comprehensive reporting.

This role will be on a fixed-term 12-month contract with possibility of extension, subject to business requirements.

The successful candidate will be based in Malaysia and will be part of and working with our Australian business directly. Working hours will be 7AM – 3PM daily from Monday to Friday.

Accountabilities: 

• Data Collection & Analysis: Gather and analyse workforce data and performance metrics. Ensure data quality and spot trends to guide strategic workforce planning. Analysis of data and reporting to identify emerging trends and anomalies to add value to the end-to-end workforce management process.
• Rostering: Create and maintain accurate rosters that meet the business needs.
• Real Time Monitoring: Monitor real time call volumes, student advisor availability and service levels across multiple channels.
• Intraday Management: Adjust intraday staffing plans based on actual volume, student advisor availability and absenteeism.
• Performance Reporting: Provide real time performance reporting and updates to Team Leaders and Managers, highlighting any areas of concerns or trends that require attention.
• Coordination and Communication: Work closely with Team Leaders, Managers, and the Workforce Manager to communicate real time performance, identify gaps and recommend actions to improve contact center performance.
• Incident Management: Quickly identify and respond to service disruptions, outages or any other incidents affecting the contact center’s ability to meet contact center targets.
• Ad Hoc Analysis: Conduct ad hoc analysis as needed to investigate and resolve specific issues or to provide insights on operational performance.
• Compliance and Adherence: Ensure all student advisors operations are compliant with company policies and that agents adhere to their schedules.

Qualifications

• Experience: 2+ years demonstrated Workforce Analyst experience in a call-centre environment.
• Analytical Skills: Demonstrated experience in analysing data, both historical and in real time and making quick, informed decisions based on that data.
• Attention to Detail: Keen attention to detail, especially when monitoring multiple data points simultaneously.
• Problem Solving: Ability to identify problems quickly and implement effective solutions with minimal disruption to operations.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely to different stakeholders.
• Multitasking: Ability to manage multiple tasks and priorities in a fast paced, dynamic environment.
• Technical Proficiency: Proficient using Genesys Cloud telephony technology. Strong proficiency in Microsoft Excel and experience with workforce optimization software.
• Time Management: Strong time management skills, ensuring that all tasks are completed within the required timeframe.

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WE ARE NUVEI. Nuvei (NASDAQ: NVEI) (TSX: NVEI) the Canadian fintech company accelerating the business of clients around the world. Nuvei’s modular, flexible and scalable technology allows leading companies to accept next-gen payments, offer all payout options and benefit from card issuing, banking, risk and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 47 markets, 150 currencies and 586 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally with one integration.

At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey!

Your mission:
This is atemporary, eighteen-month contract opportunity for someone who would like to explore a position within the data protection field and learn from an experienced team of compliance professionals.

As a Data Protection Manager, you may be responsible for overseeing the data protection compliance and policies of an organization. TheData Protection Manager collaborates with other data-related roles, such as data analysts, data engineers, data scientists, and data governance managers, as well as legal, IT, and business stakeholders.

Key responsibilities include, but are not limited to:

• Developing and implementing data protection frameworks, standards, and best practices;
• Monitoring and auditing compliance and performance;
• Providing training and awareness to staff and customers on data security practices;
• Handling requests, incidents, breaches and liaising with external authorities and regulators;
• Advising on impact assessments and risk mitigation; and,
• Staying informed about laws, regulations and trends.

Qualifications include, but are not limited to:

• Bachelor's degree or higher;
• Work experience in data protection or a related field;
• Understanding of data protection regulations and proficiency in data protection technologies;
• Familiarity with data management principles, processes, and tools, as well as data security and privacy technologies and methods;
• Knowledge of the relevant data protection laws and regulations, such as the General Data Protection Regulation (GDPR);
• Strong communication and problem-solving abilities and a high degree of integrity;
• Professional certifications, such as the Certified Information Privacy Professional (CIPP), the Certified Information Privacy Manager (CIPM), or the Certified Information Systems Security Professional (CISSP) considered as an advantage.

Benefits:
A specific salary is offered based on competence, work experience, and compliance with other job requirements.

• 2.5 additional days of annual leave a quarter, if the company hits quarterly targets;
• Hybrid working model;
• Private Medical Insurance;
• Employee Assistance Program;
• Pension Plan;
• Income Protection; 

Nuvei is an equal-opportunity employer that celebrates collaboration and innovation and is committed to developing a diverse and inclusive workplace. The team at Nuvei is comprised of a wealth of talent, skill, and ambition. We believe that employees are happiest when they’re empowered to be their true, authentic selves. So, please come as you are. We can’t wait to meet you.

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Job Description

CRB is looking for an energetic, self-motivated, pro-active, organized, and well-rounded individual that has an advanced understanding of Microsoft’s data, reporting, and business intelligence tools to assist in delivering on our internal data and business intelligence initiatives.

The successful candidate must possess the skills required to successfully execute project tasks, have a strong work ethic, and be a dynamic team player. This person will be expected to plan and execute multiple, simultaneous, large or long duration projects. In addition to project work, this individual will work with peers to assist in the identification, planning, and delivery of strategic infrastructure and analytical capabilities that will provide actionable information to the business.

Responsibilities

• Elicit data related business requirements from stakeholders and develop or approve associated technical specifications
• Contribute to the development of standard methods and best practices for the transformation and preparation of data for reporting, analytics, and self-service activities
• Apply advanced statistical techniques and predictive models to drive strategic decision-making.
• Leverage and enhance the Enterprise Data Model to deliver value to the organization
• Develop and deliver secured, robust data models to business users
• Work with stakeholders to develop new metrics, KPIs, Reports, and Dashboards
• Provide advice to departments and stakeholders on the usage, interpretation, and analytic value of business data
• Lead cross-functional teams and collaborate with various departments to support data-driven initiatives.
• Participate in discipline related internal and external project communication and coordination
• Ensure the accuracy, completeness, and reliability of data used for analysis.
• Adhere to data protection regulations and ensure confidentiality of sensitive information.
• Apply data team best practices regarding documentation, access, and security.
• Mentor junior data analysts and contribute to their professional growth within the organization.
•  Explore and recommend new data technologies and analytical tools to enhance business insights.
• Set and execute professional development goals to keep abreast of emerging technologies, services, and methods.
• Travel as required for project development and execution

Qualifications

• Bachelor’s Degree or equivalent experience
• 7+ years’ experience designing Reports and Dashboards using reporting and/or analytical tools such as SSRS, Tableau, Power BI, etc.
• 7+ years of experience working with MS SQL Server and Azure SQL Database
• 7+ years of experience developing ETL processes with data warehouses
• 7+ years of experience with Microsoft BI Stack (SSIS, SSRS and SSAS)
• 7+ years’ experience developing data models from OLTP, Data Warehouse, Data Mart, or Analysis Services solutions
• Proficiency using Azure Data Factory, Azure Data Lakes, and associated technologies
• Expert proficiency in Data Warehousing methodologies and concepts to store and model the data (Kimball)
• Expert proficiency authoring SQL queries, tables, views, stored procedures, and functions
• Advanced proficiency using Power BI Desktop, and advanced Microsoft Excel features including Power Query, M and DAX
• Experience using developer tools such as Azure DevOps, Git, TFS/TFVC
• Experience with other languages, such as C#, VB, PowerShell, Python is a plus
• Familiarity with D365 ERP modules (e.g., Finance and Operations, Customer Engagement) preferred.
• Understanding of D365 data structures, entities, and integration points preferred.
• Extreme attention to detail and accuracy a must
• Excellent verbal/written communication skills required
• Experience with accounting terms and concepts preferred
• Experience with R language preferred

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Job Description

Are you ready to make a real impact in the world of hiring? At HireVue, we’re on a mission to revolutionize the recruitment landscape by harnessing the power of data and AI. Our Data Science team, embedded within our Product organization, is at the forefront of this exciting journey!

As part of our team, you’ll develop cutting-edge, data-driven products that enhance the hiring process by focusing on human potential and connecting talent with opportunity. We’re responsible for all things AI at HireVue, from our intuitive chatbot to analyzing language in video interviews, and much more!

We’re entering an exhilarating new phase of innovation, exploring candidate matching and GenAI-based tools that will redefine how companies find and engage talent. If you’re passionate about leveraging data to drive meaningful change and thrive in a collaborative, forward-thinking environment, we want to hear from you!

• Innovate with Algorithms: Dive into the world of cutting-edge technology by developing groundbreaking algorithms and models that will enhance our products and elevate the hiring experience!

• Uncover Insights: Use your analytical skills to extract and analyze rich datasets from HireVue, focusing on human interactions and decision-making. Your discoveries will drive meaningful improvements!

• Create Success Metrics: Take the lead in formulating success metrics and crafting algorithms for entirely new products, paving the way for innovative solutions in the hiring landscape.

• Experiment and Explore: Design and execute exciting experiments to test new product ideas, pushing the boundaries of what’s possible and shaping the future of hiring!

Qualifications

We are looking for candidates with:

• 2+ years of Data Science work experience

• Degree in a quantitative discipline (MS or PhD preferred) - Statistics, Mathematics, Computer Science, Physics, Engineering, etc. 

• Experience with standard Machine Learning algorithms, including model evaluation and hyperparameter tuning

• Experience with algorithmic fairness is a plus

• Familiarity with recommender systems preferred

• Proficiency with novel NLP techniques (embedding models)

• Must program in a scripting language such as Python. Familiarity with machine learning Python libraries like numpy, scikit, and pandas is required.

• Able to collaborate with the HireVue Industrial-Organizational Psychology team to perform novel research to remain pioneers in hiring technology

• Able to translate business objectives into actionable analyses

• Able to communicate findings clearly to both technical and non-technical audiences

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