Data Product Analyst

EPAM is shaping the digital future for Fortune 1000 companies, building complex solutions using modern technologies. We are looking for a Data Product Analyst with open-minded personality, who can join our friendly environment and become a core contributor to our team of experts.
As Data Product Analyst, you will work closely with a team that focuses on Product Development within our client, including the website, apps and related technologies. Collaborating with product managers, product designers, software engineers and business leaders you will be leading data-explorations, A/B tests, hypothesis analysis, and other statistical approaches focused on understanding our products and customers. You will also be responsible for the continuous reporting and monitoring of important KPIs. Your work will support strategic direction of our content and product initiatives, providing data-driven insights to guide decision-making processes. You will analyse user behaviour, identify trends, and uncover opportunities for product improvements. If you are interested in leveraging data to drive meaningful change, we encourage you to apply.

• Develop in-depth analytical understanding of what drives growth and retention for the product and how it can be improved
• Define key performance metrics for the team to evaluate and monitor product performance
• Be an advocate and partner to your stakeholders for data-driven decision making
• Advise in the set-up of A/B tests and other quasi-experiments for new features and business opportunities, analysing, and deep-diving into the results to provide actionable give recommendations
• Develop and automate reports with "data as product" mindset, iteratively design and build dashboards to provide insights at scale, solving for business priorities
• Aim for impact by formulating product problem statements, relevant research questions and hypotheses and identifying and executing the right methodologies to test them

• 6+ years of relevant work experience in a data-intensive analytics role, such as Digital Analytics, Product Analytics, or Business Intelligence, where you gained expertise in working with raw data, preferably in the e-commerce industry
• BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Data Science or similar
• Strong proficiency in SQL-based languages, preferably BigQuery or Redshift
• Proficiency in Python, R or similar programming languages for data transformation and analyses
• Experience in ETL processes and data pipeline automation on large datasets
• Experience in tracking and analyzing onsite user behavior (e.g., using Google Analytics or a similar service) along with a strong understanding of customer behavioral KPIs and how to define them
• Strong knowledge and experience with A/B testing best practices
• Experience working with a diverse range of stakeholders and excellent communication and presentation skills

• Experience with quasi-experimental techniques, inferential and predictive statistics
• Familiarity with dashboarding tools, such as Looker DataStudio or MicroStrategy

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certification
• Language courses

• Why Join EPAM
• WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
• CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
• CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
• STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.