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Engagement Type: Freelance / Contract (Remote) Project Overview We are seeking an experienced Product Analytics & Operations Consultant to support a technology-focused product operations initiative. This engagement focuses on transforming product, customer, and operational data into actionable insights that improve product strategy, customer experience, feature adoption, retention, operational efficiency, and business growth. The ideal consultant is highly analytical, comfortable working independently, and capable of owning the entire analytics lifecycle - from data discovery and SQL development to dashboard creation, insight generation, and executive reporting. Key Responsibilities You will: - Write, optimize, and maintain SQL queries against large product and operational datasets. - Analyze product usage, customer behavior, feature adoption, engagement, retention, churn, and performance trends. - Conduct funnel, cohort, segmentation, and customer lifecycle analyses. - Define and maintain key product and operational KPIs. - Design and maintain dashboards that monitor product performance, customer experience, growth, retention, profitability, and operational health. - Identify trends, anomalies, risks, and opportunities within product and business data. - Develop measurement frameworks for new product initiatives and strategic projects. - Analyze A/B and multivariate experiments and communicate findings with clear recommendations. - Support product planning through data-driven insights and performance reporting. - Translate complex analyses into practical recommendations for business and product stakeholders. - Prepare executive-ready reports, presentations, and documentation. - Collaborate with Product, Engineering, UX, Finance, Sales, and Customer Success teams. - Document metrics, data sources, methodologies, assumptions, and dashboard logic. - Identify data quality issues and recommend improvements to reporting and measurement processes. Required Skills Strong hands-on experience with: - SQL - Snowflake or another modern cloud data warehouse - Power BI, Tableau, or Looker - Product usage and behavioral analytics - Dashboard development and KPI reporting - Funnel, cohort, and segmentation analysis - Feature adoption measurement - Customer retention and churn analysis - A/B testing and experimentation - Data modeling and metric definition - Data visualization and storytelling Preferred Qualifications Experience with one or more of the following is an advantage: - Python or R - Gainsight PX or similar product analytics platforms - SaaS or software product analytics - Agile product development environments - Product strategy and OKR frameworks - Advanced statistical analysis - Product event or telemetry data - Customer lifecycle analytics Ideal Candidate We're looking for someone with: - 4+ years of experience in Product Analytics, Business Analytics, Product Operations, or a related field. - Experience supporting Product Management or Product Operations teams. - Experience working within SaaS, software, or technology organizations. - Strong business acumen and the ability to connect data with strategic decisions. - Excellent communication and presentation skills. - The ability to explain analytical findings to both technical and non-technical stakeholders. - Strong attention to detail and analytical accuracy. - A proactive, ownership-oriented mindset with the ability to work independently. - Experience collaborating with remote or distributed teams. Expected Deliverables Deliverables may include: - Optimized SQL queries and reusable analytical datasets - Executive dashboards and KPI reporting - Product performance and customer behavior reports - Funnel, cohort, retention, and segmentation analyses - Experiment measurement plans and A/B test evaluations - Product health and operational performance reports - Executive presentations and strategic recommendations - Data quality assessments and reporting improvements - Documentation covering metrics, assumptions, methodologies, and analytical processes Engagement Expectations The consultant will independently own assigned workstreams and deliver high-quality, well-documented outputs. Applicants should be prepared to discuss previous product analytics engagements, including: - Business problems addressed - SQL approaches used - Metrics and KPIs developed - Dashboards created - Recommendations delivered - Measurable business outcomes Application Requirements Please include: - A brief summary of your relevant experience - Examples or portfolio of similar analytics projects - Experience with SQL, Snowflake, and BI tools - Your approach to product usage, adoption, retention, and customer analytics - Experience designing or evaluating product experiments - Weekly availability - Preferred hourly or monthly contract rate - Earliest available start date