Senior Data Analyst with Product Analytics, Learning Platform

DataArt; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Vacation days

Health insurance

Life insurance

Flexible work

Professional development

Training platforms

English language classes

Job summary

DataArt is seeking a Senior Data Analyst with strong product analytics experience to design, execute, and analyze complex experiments that support product and business decisions.

You will work independently on analytical tasks and collaborate with team leads and product stakeholders to deliver clear, actionable insights, helping improve product performance and business outcomes. The role offers flexible workplace options, including hybrid work.

Qualifications

• 5+ years of experience in Data Analytics including strong hands on experience in Product Analytics.
• Strong experience in product analytics and complex experimentation including A/B testing.
• Advanced SQL skills and solid knowledge of statistical analysis.
• Hands on experience with Tableau and BigQuery.
• Experience analyzing user behavior, conversion funnels and product performance metrics.
• Ability to translate complex data into clear business insights.
• Ability to work independently and manage stakeholders effectively.
• Nice to have experience in eCommerce, subscription-based businesses, or digital product analytics, and experience with Databricks.

Responsibilities

• Design complex experiments and AB tests to validate hypotheses and measure business impact.
• Define success metrics and apply statistical methods to ensure reliable results.
• Analyze user behavior, conversion funnels, engagement, and retention.
• Translate analytical findings into actionable recommendations for product improvement.
• Identify opportunities to improve product performance.
• Own analytical tasks end to end in collaboration with team leads and product stakeholders.
• Present findings and recommendations to support data driven decision making.

Skills

Product analytics

AB testing

SQL

Tableau

BigQuery

Data storytelling

Stakeholder management

Independent work

Tools

Databricks

Tableau

BigQuery

SQL Clients

Job description

Technology stack

Tableau, BigQuery, Databricks

Project overview

You will work on a learning platform that helps educators access high quality teaching and learning materials. The project is centered on product analytics, experimentation, and data driven insights that improve product performance and business outcomes.

Position overview

We are looking for a Senior Data Analyst with strong product analytics experience to design, execute, and analyze complex experiments that support product and business decisions. You will work independently on analytical tasks and collaborate with team leads and product stakeholders to deliver clear, actionable insights.

Responsibilities

• Design complex experiments and A B tests to validate hypotheses and measure business impact
• Define success metrics and apply statistical methods to ensure reliable results
• Analyze user behavior, conversion funnels, engagement, and retention
• Translate analytical findings into actionable recommendations for product improvement
• Identify opportunities to improve product performance
• Own analytical tasks end to end in collaboration with team leads and product stakeholders
• Present findings and recommendations to support data driven decision making

Requirements

• 5+ years of experience in Data Analytics including strong hands on experience in Product Analytics
• Strong experience in product analytics and complex experimentation including A B testing
• Advanced SQL skills and solid knowledge of statistical analysis
• Hands on experience with Tableau and BigQuery
• Experience analyzing user behavior, conversion funnels and product performance metrics
• Ability to translate complex data into clear business insights
• Ability to work independently
• Good communication and stakeholder management skills
• Nice to haveExperience in eCommerce, subscription based businesses, or digital product analytics
• Experience with Databricks

What We Offer

• Vacation days: Up to 26 business days per year.
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Certification reimbursement (AWS, GCP, Microsoft, etc.)