Lead Business Intelligence Analyst
Role details
Job location
Tech stack
Job description
We are seeking a Lead Business Intelligence Analyst to support product analytics and business intelligence initiatives for digital products. In this role, you will partner with product managers, business stakeholders, and cross-functional teams to deliver actionable insights that improve product performance and drive business growth., * Partner with Product, Business, UX, Engineering, and Analytics teams to support data-driven decision making.
- Analyze user behavior, product performance, and business metrics to provide actionable insights.
- Design and execute analytical studies supporting product strategy and business initiatives.
- Develop dashboards, reports, and visualizations using Power BI.
- Write complex SQL queries to extract, validate, and analyze large datasets.
- Support A/B testing and experimentation by defining success metrics and analyzing test results.
- Validate analytics implementation, tagging, and data quality through UAT.
- Monitor post-launch product performance and recommend optimization opportunities.
- Build and maintain data pipelines, dashboards, reports, and analytical assets.
- Present analytical findings through clear storytelling and executive-level presentations.
- Collaborate with reporting teams to automate recurring reports and KPI dashboards.
- Support analytics initiatives while meeting project timelines and business objectives.
- Work with analytics vendors and internal teams to resolve technical issues when needed., Job Description: General Purpose Collect, analyze, and present data and insights related to market trends, industry developments, consumer preferences, and competitive landscap…
- 3 days ago
Requirements
The ideal candidate has strong expertise in SQL, Power BI, Web Analytics, and Data Storytelling, with the ability to translate complex data into meaningful business recommendations. This role requires someone who can work independently, communicate effectively with stakeholders, and proactively identify opportunities for product optimization., * Strong experience with SQL for querying and analyzing data.
- Hands-on experience with Power BI for dashboard development and reporting.
- Experience with Web Analytics tools.
- Strong Data Storytelling and presentation skills.
- Experience managing business stakeholders and building cross-functional relationships.
- Experience analyzing customer behavior and product performance.
- Strong analytical and problem-solving skills.
- Experience working independently while collaborating across multiple teams., * Experience in the Automotive industry.
- Product Analytics experience.
- Product Management exposure.
- UX Analytics or User Experience research background.
- Experience with A/B Testing and Experimentation.
- Statistical analysis experience.
- Experience building and maintaining data pipelines.
- Knowledge of digital analytics implementation and tagging validation.
- Experience automating reporting solutions.