Data-Driven Business Analyst

3 days ago


London, Greater London, United Kingdom Rosie's People Full time
Job Description: Data-Driven Business Analyst

Rosie's People is seeking a talented Data-Driven Business Analyst to drive strategic decision-making through data analysis and insights. The successful candidate will have a strong background in data analysis, statistical modeling, and product performance measurement. This role involves collaborating with cross-functional teams to develop data-driven strategies and optimize platform performance.

The ideal candidate will have excellent communication skills, be able to work independently, and possess a passion for building data-driven solutions. Benefits include remote and flexible working arrangements, access to industry conferences and workshops, and potential opportunities for global travel.

Salary: $90,000 - $120,000 per annum (dependent on experience).

Responsibilities:
  • Analyze user data, feature adoption rates, and conversion funnels to uncover trends, opportunities, and pain points.
  • Define and track key product performance indicators (KPIs) to evaluate the success of product features and releases.
  • Create clear, actionable dashboards and reports using tools like Tableau, Looker, or Power BI.
  • Conduct deep dives into user behavior data to identify areas for improving user engagement and retention.
  • Monitor market trends and competitor analysis to identify areas of differentiation and growth opportunities.

Requirements:
  • Minimum 3+ years of experience in product analytics, data analysis, or a related field.
  • Excellent command of the English Language in all forms.
  • Proficiency in SQL for querying databases and tools like Google Analytics, Mixpanel, Amplitude, or similar analytics platforms.
  • Experience building dashboards and visualizations using tools like Tableau, Looker, or Power BI.
  • Strong knowledge of A/B testing methodologies and statistical analysis techniques.
  • Understanding of how product data ties into overall business strategy and revenue growth.
  • Familiarity with product lifecycles, Agile methodologies, and data pipelines.


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