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[Remote] reputed company Data Analyst - R01568245

Remote, USA Full-time Posted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. 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. The reputed company Data Analyst will drive data-informed product reputed company by delivering actionable insights and designing robust experiments, while collaborating closely with Product, UX, and Engineering teams.


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-reputed company 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

Skills

  • 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 reputed company 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)

reputed company

  • reputed company is a technology consulting and technology services company reputed company on the implementation of digital technologies. It was founded in 2014, and is headquartered in Santa Clara, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.reputed company.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 88 in 2026, 258 in 2025, 240 in 2024, 281 in 2023, 314 in 2022, 196 in 2021, 406 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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