Job Description

Role Overview:
The Solution Engineer will be responsible for providing expert technical support and guidance to our clients by working closely with the marketing, data, and analytics teams. This role combines deep technical skills with marketing acumen to ensure that our clients successfully implement and utilize Keen’s Bayesian regression models, marketing mix models, and probabilistic revenue forecasting models. You will act as a trusted advisor, helping clients maximize the value of Keen's platform to improve marketing/media planning, optimize investments, and forecast financial outcomes.

This role requires a strong background in both data science and marketing analytics, as well as a passion for solving complex problems. You will work closely with cross-functional teams, including product development, marketing, and customer success, to provide technical expertise that supports the overall client strategy and success.

Key Responsibilities:

1. Solution Design & Implementation:

   • Collaborate with clients to understand their business needs and design customized solutions using Keen’s platform.

   • Lead the implementation of Bayesian regression models and marketing mix models, ensuring high-quality execution and alignment with client objectives.

   • Guide clients in the use of probabilistic modeling for revenue forecasting, ensuring accurate predictions and actionable insights.

2. Data Integration & Management:

   • Work with client teams to aggregate, cleanse, and upload marketing and media planning data into the Keen platform.

   • Support clients in setting up data sources, ensuring seamless integration with Keen’s data warehouse and mapping capabilities.

   • Assist clients in interpreting data outputs and leveraging insights for strategic planning.

3. Technical Support & Troubleshooting:

   • Provide ongoing technical support to clients, troubleshooting any issues related to model setup, data quality, and platform use.

   • Perform model quality checks, including statistical fit, ROI analysis, and ensuring models align with real-world conditions and client goals.

   • Deliver platform training sessions to empower clients to become self-sufficient in using the Keen platform.

4. Cross-Functional Collaboration:

   • Work closely with the product development team to provide feedback on platform enhancements and new features that improve the client experience.

   • Collaborate with the marketing and sales teams to align technical capabilities with customer needs and ensure smooth pre-sales and onboarding processes.

5. Client Success & Optimization:

   • Serve as a technical advisor to clients, helping them understand and optimize their use of Keen’s platform for better decision-making.

   • Assist in creating reports, decks, and presentations that communicate model insights and support client decision-making processes.

   • Identify opportunities for platform optimization and expansion, driving early success and long-term client retention.

6. Thought Leadership & Innovation:

   • Stay up to date with the latest advancements in marketing analytics, marketing mix modeling, Bayesian regression, and probabilistic forecasting techniques.

   • Contribute to Keen’s thought leadership by sharing insights and best practices with clients and internal teams.

Qualifications

Key Qualifications:

• 5+ years of experience in a solution engineering, technical consulting, or similar role within a SaaS environment, with a focus on data-driven marketing analytics.

• Strong understanding of marketing mix models, Bayesian regression models, and probabilistic revenue forecasting.

• Experience with marketing/media planning and financial forecasting tools, and familiarity with marketing data sources and their impact on business outcomes.

• Proficiency in data management, data cleansing, and data integration processes.

• Excellent problem-solving skills and an analytical mindset, with a passion for working with data to generate insights.

• Strong communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

• Experience working cross-functionally with product, marketing, and sales teams.

• Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.

• Bachelor’s degree in Data Science, Marketing, Statistics, or a related field; advanced degree preferred.

Preferred Qualifications:

• Experience in the marketing technology or MarTech industry, particularly with marketing mix modeling and probabilistic forecasting solutions.

• Familiarity with AI-powered platforms and their applications in real-time scenario planning and optimization.

• Knowledge of marketing automation platforms (e.g., HubSpot) and CRM systems.

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Job Description

As an Analyst, you’re a key enabler in supporting how our customers improve the ways they do Marketing and Media Planning through our powerful Bayesian modeling software called the Keen Platform.  Working closely alongside Keen’s Account Directors, you are responsible for supporting the execution of their account strategy within a portfolio of named clients.
 

What you’ll do as an Analyst :

• We will teach you how to use all the features of the Keen Platform to drive our Client’s desire to measure marketing and make investment decisions differently.
• Key Services that will be a part of your regular workload in driving the implementation and adoption of the Keen Platform include:
  • Provide and Teach Data Manipulation and Management Services
    • Direct data aggregation, cleansing, and uploading into the Keen Platform
    • 1:1 training with specific Client Users on how to utilize the Data Warehouse & Mapping capabilities within the product
    • 1:1 Data Source integration support with Client Users
  • Provide and Teach Model Quality Checks
    • The Keen Platform generates a model of the Client’s business - you will review the inputs and outputs of these models, upon request, to ensure the model meets our quality standards as well as supports our account strategy.  QC includes checking for model statistical fit, tactic ROIs, data quality, and narrative support.
    • You may suggest changes to models for the Agency/Client to consider to better fit clients’ goals
  • Provide and Teach Support Plan Optimizations
    • You will be responsible for configuring and running Optimized Marketing Plans that align to the Account Director strategy and/or Client’s planning goals
    • You may be called upon to conduct 1:1 Training with Client Users on how to use the Plans feature Keen Platform
  • Provide & Teach Support Narrative & Story-Telling Deck Generation
    • A Plan is only as good as the Story supporting it; you will support the Account Director’s story needs by configuring the Reporting features of the Keen Platform to drive the account strategy.
    • You will also regularly download the PowerPoint Export of the Reports from Keen Platform and develop an initial draft of the story to be used by Account Directors and/or Clients. 
    • You will be expected to attend (remotely) during key meetings between the Account Director and client contacts such as Top-to-Tops, Quarterly Business Reviews, and other conversations that are informed by and inform the Client Narrative.
  • Ongoing Troubleshooting & Support
    • Troubleshooting with & for clients, supporting, and refining models as needed, ensuring they fit clients’ business objectives and driving success.
    • Monitor model updates for expanding accounts, offering technical support and identifying opportunities for further optimization.
    • Provide feedback to product development for platform enhancements that improve the client experience.

Qualifications

• You love business software.  You love using it.  You want to use it all day. (Because you will!)
• You love Excel.  You love data.  You love looking at, organizing, and playing with data in Excel. 
• You love PowerPoint.  You know how valuable it is to put together a good deck, and you love doing it.
• You love to do good work, and it’s the only type of work you do. 
• You love to learn, and are a self-starter for learning new things.  (We’ll teach you all about Bayesian modeling - unless you teach yourself)
• 2+ years of experience in a combination of any of the following in academic or professional experience:
  • Marketing Analytics
  • SaaS Customer Success
  • Data Cleansing & Management

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