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Product Data Analyst – Contract
PVcaseProduct Data Analyst defining, tracking, and reporting on key product metrics for successful features and initiatives. Collaborating with product teams to enhance user engagement and data integrity.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and product metrics, with strong capabilities in SQL, data visualization, and product analytics tools. Proven ability to collaborate with cross-functional teams and promote a data-driven culture.
Highest-signal resume keywords
Product Data AnalysisSQL Data ExtractionData Visualization ToolsProduct Analytics ToolsB2B/SaaS Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSQLData VisualizationProduct AnalyticsData ModellingPythonStatistical AnalysisProblem-SolvingEngagement MetricsRetention Metrics
Soft Skills
Analytical ThinkingCollaborationCommunicationProblem-SolvingData-Driven Mindset
Tools & Technologies
TableauPower BILookerMixpanelAmplitudeAWSDbt
Industry Keywords
B2BSaaSTech CompanyProduct-Led Strategies
Tech Stack
Tools & technologiesAWSPythonSQLTableau
About the role
Key responsibilities & impact- Define, track, and report on key product metrics (such as engagement, retention, conversion, and churn)
- Analyze product and user data to uncover trends, user behaviors, pain points, and opportunities for improvement
- Ensure data accuracy and integrity as well as work with the data team and product developers on solving data accuracy issues
- Promote a data-driven work culture through example and by championing self-service
- Work collaboratively with product team members, such as product managers, engineers, and designers
- Find the right medium to convey important insights with the right context
Requirements
What you’ll need- 2+ years of hands-on working experience as a Product Data Analyst
- Strong SQL skills for data extraction and manipulation
- Strong analytical and problem-solving skills
- Experience with data visualization tools (Tableau/Power BI/Looker)
- Experience with product analytics tools (Mixpanel/Amplitude)
- A degree in statistics, mathematics, computer science, or related field
- Fluency in written and verbal English
- Nice to have: Experience with AWS
- Programming experience (Python)
- Experience working in a B2B/SaaS/tech company setting
- Experience with product-led strategies
- Experience with dbt and data modelling is a pre.
Benefits
Comp & perks- No additional benefits