Senior Staff Engineer, Data Analyst
Senior Staff Engineer, Data Analyst
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Must have Skills : Data Analysis & Visualization SQL (Strong) Power BI (Strong) Communication & collaboration (Expert) Requirements Analysis
Job Description :
- Minimum 5 years in a product data or business analytics role ideally in a B2C digital or marketplace environment.
- Experience supporting product teams in measuring features and driving iterative development is a big plus.
- Familiarity with experimentation tools and statistical methods (e.g. A/B testing regression analysis).
- Proficiency in data visualization tools (e.g. Looker Tableau PowerBI) and product analytics platforms (e.g. Amplitude Mixpanel Piano).
- Comfortable working in a fastpaced crossfunctional environment spanning multiple regions and time zones.
- Collaborate closely with Product Managers: Work with product leads to define clear success metrics build measurement frameworks and translate business goals into data insights.
- Monitor Product Feature Performance: Build dashboards and run postrelease analyses to understand the impact of new features on user engagement conversion retention and satisfaction.
- Drive Experimentation & Learning: Design and evaluate A/B tests and other experiments. Guide the team on hypothesis generation tracking strategy and decisionmaking based on statistical results.
- Promote a Culture of DataInformed DecisionMaking: Enable product managers and other stakeholders to selfserve data through tools education and documentation.
- Support Global & Local Market Insights: Analyze regional usage patterns to highlight adoption gaps or opportunities. Ensure product teams understand what is working where and why (or why not).
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Department / Functional Area
Engineering
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
