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Senior Product Analyst
Not specifiedFull-timeProduct AnalyticsEnterprise SoftwareMarketing Services
Analyze large-scale behavioral, marketing, attribution, and product data to guide product strategy, customer value, and commercial decisions for a marketing intelligence platform.
Responsibilities
- Translate complex queries and datasets into business insights, recommendations, and product decisions
- Analyze behavioral, marketing, attribution, and product data to identify trends, risks, opportunities, and anomalies
- Partner with Product, R&D, Customer Success, Sales, and leadership to frame questions and define analytical approaches
- Define KPIs, success metrics, dashboards, and analytical frameworks for products
- Measure product adoption, feature performance, customer impact, and revenue opportunities
- Analyze publisher influence, advertiser performance, share of voice, and conversion behavior
- Investigate data inconsistencies, gaps, and edge cases with Data and Engineering teams
- Write advanced SQL queries across large analytical datasets
- Use Python, Pandas, notebooks, and analytical workflows for complex investigations
- Build dashboards and reports using BI and data-visualization platforms
- Support product discovery, feature definition, rollout measurement, and post-launch analysis
- Collaborate on table logic, metric definitions, tracking requirements, and validation
- Prepare executive summaries, customer-facing insights, sales-enablement analyses, and decision materials
Requirements
- 4–6+ years of experience in product, data, business intelligence, analytics engineering, or a similar analytical role
- Advanced SQL, including joins, CTEs, window functions, aggregations, cohort analysis, and query optimization
- Hands-on Python experience for data analysis, especially Pandas
- Experience with analytical warehouses such as Snowflake, BigQuery, Redshift, or Databricks
- Experience building dashboards and self-service analytics in BI tools
- Ability to define business metrics, translate them into data logic, and validate results
- Strong product and business judgment, with experience connecting analysis to customer value and product strategy
- Knowledge of segmentation, funnels, cohorts, trends, outliers, and correlation versus causation
- Strong data-quality mindset and attention to detail
- Excellent stakeholder communication and data storytelling skills
- Strong written and verbal English skills
- Proactive, independent, and comfortable working with ambiguity
Nice to have
- Experience with NumPy, Jupyter notebooks, or visualization libraries
- Experience with A/B testing, impact measurement, forecasting, dbt, or semantic layers
Benefits
- Flexible work environment
- Competitive salary and generous benefits
- High-impact ownership across product, customer, sales, and executive initiatives
- Startup environment with global enterprise scale
- Inclusive and collaborative culture