Bachelor's or Master's degree in a STEM field or equivalent experience.
5+ years of experience in data science or machine learning.
Expert-level Python skills with proficiency in multiple ML frameworks.
Strong understanding of advanced ML and deep learning architectures.
Experience with cloud ML platforms like SageMaker or Vertex AI.
Familiarity with A/B/n and multivariate experimental analysis.
Demonstrated technical leadership and mentoring abilities.
Responsibilities
Partner with Product, Engineering, and Design to define success metrics.
Develop and maintain models, dashboards, and reports for key metrics.
Drive innovation and testing to inform strategic product decisions.
Establish experimentation best practices including power analysis.
Present findings and insights to senior management and stakeholders.
Design and implement data collection systems to optimize data quality.
Lead technical decisions and guide model reviews for quality assurance.
Benefits
Flexible Time Off program.
Hybrid work model.
Variety of medical insurance options with $0 cost premium for employees.
Benefits effective day 1 including competitive 401K match with no vesting.
Progressive family plan benefits.
Opportunity to work for a global, industry-leading technology company.
Collaborative environment for impactful work.
Full Job Description
Job brief:
We are seeking a Senior Product Analyst to join our Product Insights team embedded within the TWC Product team - working across the TWC Flagship app, Storm Radar, and future app experiences. In this role, you will be the connective tissue between raw behavioral data and meaningful product strategy, partnering across product, engineering, data science, and UX research to ensure we have a clear, accurate, and holistic view of how our users experience the app(s). You will report to the Data and Analytics SVP, but have direct accountability to the Director of Product Insights, and play a critical role in enabling the team to move from reactive fixes to proactively architecting data from the start.
The impact you'll make:
Analytics Infrastructure & Data Quality
Partner with the data science team to audit and ensure the integrity of data connections in Amplitude and other behavioral analytics systems, identifying and resolving tracking gaps, misfires, and schema issues.
Collaborate with engineering to validate that event instrumentation is firing correctly before and after feature releases, maintaining a reliable source of truth for product data.
Establish and maintain documentation of the analytics event taxonomy, data dictionaries, and tracking standards to improve team-wide data literacy and reduce cross-functional sync overhead.
Measurement Planning & Analytics Configuration
Partner with product and engineering teams throughout the feature development lifecycle to ensure analytics are configured correctly from the start, reducing data validation delays post-launch.
Advise on and co-author measurement plans for new features, defining success metrics, instrumentation requirements, and how data will be captured, validated, and reported.
Serve as an embedded analytics resource for the product team, reducing dependency on central analytics and enabling faster, more autonomous decision-making.
Behavioral Analysis, User Understanding & Experimentation
Conduct deep analysis using Amplitude, Preset, and other behavioral data sources to build a robust, nuanced understanding of TWC users, proactively surfacing insights around engagement, retention, and feature adoption.
Partner with UX Research to develop a holistic picture of the TWC user by integrating behavioral data with qualitative research, sentiment signals, and user feedback - combining the "what" with the "why."
Advise and assist the product team in designing, launching, and interpreting A/B and multivariate experiments, ensuring proper statistical rigor and communicating results with nuance and clarity to drive confident product decisions.
Leverage AI and automation to expedite analysis and provide training to stakeholders on self-service analytics to empower independent data exploration.
What you've accomplished:
Bachelor's degree in a quantitative or technical field (e.g., Statistics, Computer Science, Economics, Mathematics) or equivalent practical experience.
5+ years of experience in product analytics, data analytics, or a similar role, ideally within a consumer-facing digital product (mobile app experience strongly preferred).
Proficiency in Amplitude or a comparable behavioral analytics platform (e.g., Mixpanel, Heap) is required.
Strong SQL skills; ability to independently query, clean, and analyze data from large datasets.
Solid grounding in A/B testing methodology, including statistical significance, sample size estimation, and experiment design.
Excellent communication skills; ability to translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders.
Nice to have:
Experience with data visualization tools such as Preset, Looker, or Tableau, and familiarity with event instrumentation practices and CDPs such as mParticle.
Experience with mobile app analytics and understanding of mobile measurement nuances (e.g., session definitions, background events, iOS vs. Android differences).
Background in or exposure to data engineering concepts (pipelines, schemas, ETL) that allows you to work fluently with data science and engineering partners.
Experience partnering with UX researchers on mixed-methods studies, integrating qualitative and quantitative data to form a complete view of user behavior.
TWCo Benefits/Perks:
Flexible Time Off program
Hybrid work model
Variety of medical insurance options, including a $0 cost premium employee coverage
Benefits effective day 1 of employment include a competitive 401K match with no vesting requirement, national health, dental, and vision plans
Progressive family plan benefits
An opportunity to work for a global and industry-leading technology company
Impactful work in a collaborative environment
About Athenium LLC
Athenium Analytics is a software company that provides data analytics solutions for the insurance industry. The company was founded in 2004 by David Coons and is headquartered in Boston, MA. Athenium's flagship product, Insurity, is a data analytics platform that enables insurers to improve their underwriting and claims processes. The platform uses machine learning algorithms to analyze large amounts of data and provide insights into risk and fraud. Athenium also offers consulting services to help insurers implement and optimize their data analytics strategies.
