Lead Data Analyst - R01568245

1 day, 5 hours ago
Senior
Data Science and Analytics
Brillio

Brillio

Brillio is a global leader in Enterprise Digital Transformation Solutions, partnering with companies to drive business improvement and competitiveness through innovative technology solutions.

IT Services
1K-5K
Founded 2014

Description

  • Lead experimentation strategy by designing, executing, and analyzing A/B tests and quasi-experiments.
  • Conduct deep-dive analyses on user journeys, onboarding funnels, feature adoption, and retention cohorts.
  • Define north-star metrics, KPIs, and guardrails, and maintain consistent metric definitions across teams and dashboards.
  • Translate complex analyses into clear recommendations that inform product roadmaps and prioritization.
  • Partner with data engineering and platform teams to improve telemetry, data models, and reporting reliability.
  • Apply statistical methods such as segmentation, cohort analysis, regression, and causal inference to understand user behavior and product performance.
  • Collaborate with Product Managers, Designers, and Engineers to embed analytics into the product development lifecycle.
  • Mentor analysts on experimentation design, metric definition, and storytelling best practices.
  • Communicate insights to stakeholders and leadership through dashboards, presentations, and narratives.

Requirements

  • 5–8 years of experience in product analytics, advanced analytics, or data science with a strong product focus.
  • Hands-on experience designing and interpreting A/B tests and quasi-experimental methods such as difference-in-differences and matching.
  • Proficiency in SQL and Python for data analysis.
  • Strong foundation in statistics and hypothesis testing.
  • Experience with BI tools such as Power BI, Tableau, or Looker.
  • Experience working with event-based data and defining tracking for digital products.
  • Deep understanding of user behavior analysis, funnel optimization, retention, and feature adoption metrics.
  • Strong communication and stakeholder management skills with the ability to influence decisions across teams.
  • Bachelor’s or master’s degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or related area is a plus.
  • Experience with Spark, PySpark, Hive, and data modeling fundamentals is listed among the primary skills.

Interested in this position?

Apply directly on the company website

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