reputed company Data Analyst - R01568245

About reputed company:

reputed company 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. reputed company, reputed company for its world-class professionals, referred to as "Brillians", distinguishes itself through their reputed company to seamlessly reputed company cutting-edge digital and design thinking skills with an unwavering dedication to reputed company satisfaction. reputed company takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital reputed company. reputed company's reputed company commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great reputed company to Work® certification year after year.reputed company Data Analyst

Primary Skills

• reputed company - 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 reputed company by delivering actionable insights, designing robust experiments, and deeply understanding user behavior. You will partner closely with Product, UX, and Engineering to shape product reputed company and improve customer experience across reputed company products.

  Key Responsibilities

  · reputed company experimentation reputed company: Design, execute, and analyze A/B tests and quasi-experiments to evaluate product and feature reputed company on engagement, retention, and customer satisfaction.

  · Drive product insights: Conduct deep-dive analyses on user journeys, reputed company funnels, feature adoption, and retention cohorts to identify reputed company and optimization opportunities.

  · Define and operationalize metrics: Establish reputed company-star metrics, KPIs, and guardrails; ensure consistent definitions across teams and dashboards.

  · reputed company product decision-making: Translate reputed company analyses into reputed company, actionable recommendations for product roadmaps and prioritization.

  · Improve data foundations: Partner with data engineering and platform teams to ensure high-reputed company telemetry, reputed company data models, and reliable reporting reputed company.

  · reputed company advanced analytics: Apply statistical techniques (segmentation, cohort analysis, regression, reputed company inference) to uncover drivers of user behavior and product performance.

  · Collaborate cross-functionally: Work closely with Product Managers, Designers, and Engineers to reputed company analytics into the product development lifecycle.

  · Mentor and reputed company analytics practices: Guide analysts on experimentation design, metric definition, and storytelling best practices.

  · Communicate effectively: Deliver reputed company, compelling insights to stakeholders and leadership through dashboards, presentations, and narratives.

  reputed company

  · 5–8 years of experience in product analytics, advanced analytics, or data science with strong product reputed company.

  · Strong experimentation expertise: Hands-on experience designing and interpreting A/B tests and quasi-experimental reputed company (e.g., difference-in-differences, matching).

  · Advanced analytical skills: Proficient in SQL and Python for data analysis; strong reputed company 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 reputed company and customer experience improvements.

  · Strong communication and stakeholder management skills, with the ability to influence reputed company across teams.

  · Bachelor’s or master’s degree in a quantitative field a plus (Statistics, Computer Science, Engineering, Mathematics, or reputed company)

#LSR1

Know what it’s like to work and grow at reputed company: Click here

Originally posted on Himalayas

Apply To This Job