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Senior Manager, Analytics

Ibotta
United StatesRemotefull_timeVerifiedPosted 16 May 2024
💰 $168,000/yr($120,000/yr$168,000/yr)

About the role

Ibotta is seeking an analytics leader to join our Product Analytics team and contribute to our mission to Make Every Purchase Rewarding. The Senior Manager, Product Analytics will lead a decision science team and partner closely with cross-functional leaders (Product Management, Design, Engineering and Research), using data and analytics to power decision making and product features. You and your team will inform product strategy and leverage our full analytics stack (Databricks, Spark, Airflow, GitHub, Python, Looker, etc) to mine insights from rich behavioral and transactional data sources for a large base of consumers across thousands of brands.

This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.

What you will be doing:

  • Lead the build-out of data science capabilities within the Product Analytics team, partnering with ML Product engineers to prototype, test, and productionize models

  • Own large, complex analytics projects end-to-end in a fast-paced environment that focus on business impact and support the strategic goals of the product organization

  • Use modeling and data mining to generate deep insights, user segmentations, predictions, and functionality answering complex strategic questions that drive broader innovation

  • Ensure the team designs, executes and analyzes A/B tests with statistical integrity that have clear learning agendas, evaluation criteria and guardrails

  • Empower and partner with product leaders to use our rich historical data to define, prioritize and measure high-impact initiatives

  • Drive a culture of measurement by championing and teaching best practices in KPI development, measurement frameworks and statistical modeling

  • Proactively contribute to product strategy by ideating, surfacing and developing strategic initiatives for growth, optimization and reduction of friction across the user experience

  • Lead the team to conduct deep dives on product features, flows, funnels and user journeys to identify actionable recommendations and testable hypotheses

  • Design, deliver and present compelling data visualizations and insights that effectively communicate recommendations to and generate buy-in from leadership and cross-functional stakeholders.

  • Own the design, implementation, governance and monitoring of tracking events across our digital properties

  • Increase time-to-insight by automating repeatable workflows, analyses and processes and enabling self service analytics by creating reusable data and reporting assets

  • Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

What we are looking for: 

  • 8+ years of practical work experience in analytics and data science; experience working in consumer product development teams strongly preferred

  • 4+ years of leading analytics teams

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required (advanced degree preferred)

  • Expertise working with:

    • Data analysis tools (e.g., Databricks, SQL, Python/R, Spark, Hive, Airflow, Git/GitHub etc.)

    • BI & other analytics tools (e.g., Looker, GA, Amplitude, etc.)

    • Data pipelines and ETL/ELT processes

  • Proven track record of success leading data-driven product decisions and outcomes in cross-functional product teams at consumer-focused tech companies. 

  • Deep subject matter expertise in statistical measurement techniques (causal inference, A/B testing, diff-in-diff estimation, etc) with the ability to coach individual team members

  • Knowledge and application of statistical modeling techniques (regularized regression, time series, tree-based models, clustering, etc.) and development of analytical tools to deliver measurable product outcomes 

  • Experience leading analytics and data science projects end-to-end, including data cleaning, model development/evaluation/deployment, and communication of value.

  • Clear communications skills that bridge the gap between technical and non-technical audiences, break ambiguous business questions into structured analysis, and translate complex data into actionable insights.

  • Experience building centralized and extensible code repositories, packages, and workflows in Python and interest in MLOps a big plus

About Ibotta ("I bought a...")

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network

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Ibotta

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