Product Analytics Specialist — Experiments & Growth

Brillio 2; Dallas (TX); On-site; Full time

Job description

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world‑class professionals, referred to as "Brillians", distinguishes itself through its capacity to seamlessly integrate cutting‑edge digital and design‑thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting exceptional individuals due to its emphasis on contemporary technologies and exclusive digital projects. Brillio’s commitment to providing an exceptional experience to its Brillians and nurturing their full potential has earned it the Great Place to Work® certification year after year.

Lead Data Analyst

• Spark, Pyspark, SQL (Basic + Advanced), Python, Hive, Data Modelling Fundamentals, Data Science, Power BI
• Data Analysis: Analyst
• Product Analytics
• Advanced Analytics

Product Analyst

Location: TX, CA, NY

Work Type: Hybrid – 3 days onsite per week

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 a 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 and storytelling: experience with BI tools such as Power BI, Tableau, or Looker to communicate insights effectively.
• Telemetry and 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 (Statistics, Computer Science, Engineering, Mathematics, or related).

Know what it’s like to work and grow at Brillio.