India
Experience :
Not Specified
Closes on :
Jul 22, 2024
Company Overview:
EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, employees, and communities. We embrace a dynamic and inclusive culture. Here, you will collaborate with multi-national teams, contribute to a myriad of innovative projects, and have opportunities for continuous learning and growth. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Job Title:
Senior Data Business Analyst
Technologies:
- SQL
- Data Warehousing
Responsibilities:
- Attend workshops and planning sessions.
- Facilitate business requirements meetings with analytical teams.
- Collaborate with UX teams to build product feature mock-ups.
- Work with Data Engineering and Information Architecture teams to document data requirements and plan epics/features/user stories for the scrum team.
- Conduct release planning and end-to-end requirement articulation.
- Provide support during various phases of development and testing, and ship products to production.
- Participate in scoping proposed improvements and translate requirements into actionable developer specifications.
- Mitigate scope-related risks.
- Provide user support for data transformation, testing, problem-solving, and addressing end-to-end user needs.
- Support the team in the overall estimation process by clearly explaining the scope.
- Clearly articulate acceptance criteria.
- Showcase business value for various features to stakeholders via sprint reviews.
- Work with business owners, product leads, product managers, and your scrum team to identify opportunities to enhance product experience.
- Promote team culture and environment.
Requirements:
- Minimum 5 to 9 years of experience as a Business Analyst.
- Experience in an Agile Scrum team, accountable for delivering high-quality technical requirements.
- Ability to delve into technical details surrounding product requirements and specifications.
- Collaborate with Data Science & Information Architecture teams to ensure data governance.
- Good to have a background in Data Analytics (Big Data, Databricks, Data Lake).
- Knowledge of Data Visualization and DevOps culture is a plus.
We Offer:
- Opportunity to work on technical challenges that may impact across geographies.
- Vast opportunities for self-development through our online university, global knowledge sharing, and learning opportunities via external certifications.
- Platforms to share your ideas internationally.
- Sponsored Tech Talks & Hackathons.
- Unlimited access to LinkedIn learning solutions.
- Possibility to relocate to any EPAM office for short and long-term projects.
- Focused individual development.
- Health benefits.
- Retirement benefits.
- Paid time off.
- Flexible benefits.
- Forums to explore passions beyond work (CSR, photography, painting, sports, etc.).