Technical Recruiter at Ektello "Working with major companies throughout the US."
Senior Analytics Lead, Product & Operations
Rate : Highly negotiable
Location : Full Remote
Contract Length : 12+ month contract to (hire + multi-extension capability)
Summary
We are seeking a highly skilled and experienced Senior Analytics Lead to drive data-driven decision-making across our Product and Operations teams. This role requires a blend of analytical expertise, strategic thinking, and strong communication skills to empower cross-functional teams and enhance the user experience.
Responsibilities
- Design, execute, and evaluate product and operational launches using advanced techniques such as A / B testing and causal inference, providing actionable insights to improve product and customer experience.
- Develop and maintain key metrics, dashboards, and data sets to monitor performance, drive AirCover OKRs, and identify opportunities for user experience enhancements.
- Partner with Product, Operations, and Engineering teams to define metric and logging specifications, ensuring data quality and consistency for robust reporting and analysis.
- Cultivate data literacy across Product and Operations, providing guidance on data tools, data products, and best practices for self-service data exploration.
- Communicate analytical findings and strategic recommendations to senior leadership and stakeholders, influencing product and operational roadmaps.
- Collaborate with leadership to define and deliver a strategic analytics roadmap, aligning analytical efforts with business objectives.
- Prioritize and deliver ad-hoc data requests from Operations and Product teams, ensuring timely insights that drive business value.
- Identify, build, and implement AI-powered tools to enhance analytical capabilities and accelerate time to insights for both individual use and stakeholder empowerment.
Qualifications
5+ years of industry experience in business analytics.Degree (Master's or PhD preferred) in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.Demonstrated experience supporting or working closely with Operations teams.Expert proficiency in SQL and at least one programming language for data analysis (Python or R).Proven experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally within a multi-sided platform environment.Working knowledge of schema design, high-dimensional data modeling, and ETL best practices.Ability to thrive in a fast-paced, ambiguous, and complex environment, demonstrating comfort with minimal planning and direction.Seniority Level
Mid-Senior levelEmployment Type
ContractJob Function
Engineering and Information TechnologyIndustries
Staffing and RecruitingBenefits
Medical insuranceVision insurance401(k)#J-18808-Ljbffr