Senior Product Data Analyst

Posted 2024-11-07

💎 Seniority level: Senior, 4+ years

📍 Location: United States, Pacific Time

💸 Salary: 138500 - 162900 USD per year

🔍 Industry: Mental health

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: PythonSQLData AnalysisProduct DevelopmentProduct AnalyticsData analysisData engineeringCollaboration

4+ years of experience in product analytics or a similar role focused on data analysis.
Expertise in SQL, data analysis, and data visualization.
Experience working with Looker or equivalent BI tool.
Familiarity with Mixpanel or similar web and product analytics tools.
Strong understanding of A/B testing and statistical analysis principles.
Proven ability to explain data and analytics concepts to non-technical stakeholders.
Experience in high-performing product teams, emphasizing cross-functional collaboration.
Ability to think strategically while driving execution.
High emotional intelligence and relationship-building skills.
Motivated, adaptable, and capable of thriving in fast-paced environments.
Strong problem-solving skills with a results-oriented approach.
Passion for the mental health space.

Conduct deep-dive data analyses using SQL, Python, or other tools to provide actionable recommendations.
Define, socialize, and measure key performance indicators (KPIs) aligned with company strategic objectives.
Design, develop, and build self-service dashboards for Tech partners.
Plan and conduct A/B tests to evaluate product changes and make recommendations.
Collaborate with product managers to enhance product development and prioritize features.
Work closely with multiple teams to drive product improvements and user experience optimization.
Develop and maintain code base, partnering with Data Engineering to improve the data platform.
Ensure reliability of work through thorough checking and code reviews.

Posted 2024-10-16

📍 Continental US

🔍 Video marketing

🏢 Company: Wistia

Highly experienced in data analysis, preferably within a product or technology-driven environment.
Fluent in SQL and python for data analysis.
Skilled at constructing meaningful data visualizations.
Comfortable with the command line, git and dbt.
Experienced with A/B testing, experimentation, and data-driven optimization.
Knowledgeable about database architecture, data warehousing principles, REST APIs, event tracking frameworks.
Experienced at scoping broad, loosely-defined requests into well-structured plans.
Highly curious, with a strong attention to detail and a perspective on how work fits into the 'big picture'.
Adept at using excellent communication skills to translate complex analyses and findings into actionable insights for stakeholders.
Able to work independently and efficiently with minimal oversight.
Familiar with SaaS metrics and business practices.
Comfortable working in agile environments and collaborating with cross-functional teams.
Passionate about data.

Use SQL and python to analyze complex datasets, identifying trends, patterns, and insights to inform business-critical decisions and product development.
Design and maintain self-serve data visualizations and dashboards to provide real-time insights for stakeholders.
Perform A/B test, cohort and funnel analyses in collaboration with Product teams to optimize user experience and business outcomes.
Partner with product managers, engineers, and cross-functional stakeholders to define metrics, KPIs, and success criteria for product releases.
Meet Product stakeholders 'where they live' by becoming an expert in our application data models, usage of Amplitude and internal event tracking frameworks.
Translate data insights into clear recommendations that support product strategy and feature prioritization.
Communicate findings and recommendations to technical and non-technical audiences through easily-interpretable presentations, reports, and dashboards.
Work with data engineers to ensure data accuracy, availability, and integrity across product analytics.
Use dbt to define version-controlled, modular business logic that can be easily reused across the team.
Develop and improve data collection methods and processes to enhance the quality of product analytics.

PythonSQLAgileBusiness IntelligenceData AnalysisGitProduct DevelopmentStrategyProduct AnalyticsData analysisCommunication SkillsCollaboration

Posted 2024-10-16

🔧 Requirements