Lead Data Analyst R
Job Location:
Dallas, TX - USA
Yearly Salary:
Posted on:
Vacancies:
Job Summary
Primary Skills
- Spark - Pyspark SQL SQL (Basic Advanced) Python Hive Data Modelling Fundamentals
Specialization
- Data Analysis: Analyst
Job requirements
Product Analyst
As aProduct Analyst you will drive data-informed product decisions by delivering actionable insights designing robust experiments and deeply understanding user behavior. You will partner closely with Product UX and Engineering to shape product strategy and improve customer experience across security products.
Key Responsibilities
Lead experimentation strategy:Design execute and analyze A/B tests andquasi-experimentsto evaluate product and feature impact on engagement retention and customer satisfaction.
Drive product insights:Conduct deep-dive analyses on user journeys onboarding funnels feature adoption and retention cohorts toidentifygrowth and optimization opportunities.
Define and operationalize metrics:Establishnorth-star metrics KPIs and guardrails; ensure consistent definitions across teams and dashboards.
Enable product decision-making:Translate complex analyses into clear actionable recommendations for product roadmaps and prioritization.
Improve data foundations:Partner with data engineering and platform teams to ensure high-quality telemetry scalable data models and reliable reporting layers.
Leverage advanced analytics:Apply statistical techniques (segmentation cohort analysis regression causal inference) to uncover drivers of user behavior and product performance.
Collaborate cross-functionally:Work closely with Product Managers Designers and Engineers to embed analytics into the product development lifecycle.
Mentor and elevate analytics practices:Guide analysts on experimentation design metric definition and storytelling best practices.
Communicate effectively:Deliver clear compelling insights to stakeholders and leadership through dashboards presentations and narratives.
About You
58 years of experiencein product analytics advanced analytics or data science with strong product focus.
Strong experimentationexpertise:Hands-on experience designing and interpreting A/B tests and quasi-experimental methods (e.g. difference-in-differences matching).
Advanced analytical skills:Proficient in SQL and Python for data analysis;strong foundationin statistics and hypothesis testing.
Product analytics experience:Deep understanding of user behavior analysis funnel optimization retention and feature adoption metrics.
Data visualization & storytelling:Experience with BI tools such as Power BI Tableau or Looker to communicate insights effectively.
Telemetry & data modeling knowledge:Experience working with event-based data and defining tracking for digital products.
Business and product acumen:Ability to connect data insights into product strategy and customer experience improvements.
Strong communicationand stakeholder management skills with the ability to influence decisions across teams.
Bachelors or mastersdegree in a quantitative fieldaplus(Statistics Computer Science Engineering Mathematics or related)
Required Experience:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
