Brillio

Lead Data Analyst - R01568245

Brillio$100K — $105K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8 years in product analytics, advanced analytics, or data science with product focus
  • Hands-on experience designing and analyzing A/B tests
  • Proficient in SQL and Python for data analysis
  • Understanding of user behavior, funnel optimization, and retention metrics
  • Experience with BI tools like Power BI, Tableau, or Looker
  • Knowledge of event-based telemetry and data modeling
  • Strong stakeholder management and influence skills

Responsibilities

  • Lead A/B testing strategy to evaluate product impacts
  • Conduct deep analysis on user journeys and feature adoption
  • Establish key performance indicators and metrics alignment
  • Translate complex analyses into actionable product recommendations
  • Ensure data quality and scalable models with engineering teams
  • Apply statistical techniques to analyze user behavior determinants
  • Collaborate with cross-functional teams for integrated analytics
  • Mentor others in analytics practices and effective communication

Benefits

  • Collaborative cross-functional environment
  • Mentorship opportunities to develop analytics skills
  • Access to advanced analytics tools and technologies
  • Influence over product strategy and customer experience
  • Opportunities for professional growth in analytics
Full Job Description
Lead Data Analyst
Primary Skills
  • Spark - Pyspark, SQL, SQL (Basic + Advanced), Python, Hive, Data Modelling Fundamentals
Specialization
  • Data Analysis: Analyst
Job requirements
  • Product Analyst
    As a Product 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 and quasi-experiments to 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 to identify growth and optimization opportunities.
    • Define and operationalize metrics: Establish north-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
    • 5-8 years of experience in product analytics, advanced analytics, or data science with strong product focus.
    • Strong experimentation expertise: 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 foundation in 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 communication and stakeholder management skills, with the ability to influence decisions across teams.
    • Bachelor's or master's degree in a quantitative field a plus (Statistics, Computer Science, Engineering, Mathematics, or related)

#LSR1

Salary: 100-105 USD per year salary

About Brillio

Brillio is a technology consulting and technology services company focused on the implementation of digital technologies.

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Learn more about Brillio
Industry
Founded
2014

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