We are in need of an experienced Senior Data Business Analyst to join our team. As a Data Business Analyst, you will play a crucial role in collaborating with various teams to gather, document, and analyze business requirements related to data solutions. Your expertise in data requirements gathering, documentation, and collaboration will contribute to the successful delivery of high-quality technical specifications and enhancements.

　　WHAT YOU’LL DO

　　Attend workshops, planning sessions, Business requirements meeting with analytical teams, collaborate with UX teams to build product feature mock-ups, work with Data engineering / Information architects to document data requirements and plan epics/features/user stories for scrum team

　　Release planning, End-to-end requirement articulation, provide support in various phases during development and testing and ship the product to production

　　Participate in the scoping of proposed improvements work with business to turn the requirements into actionable developer specifications

　　Works to mitigate all the scope related risks

　　Works independently to provide user-support for data transformation, testing, solving problems, and end-to-end user needs

　　Familiar with a variety of the field’s concepts, practices, and procedures

　　Supports the team in overall estimation process by explaining the scope clearly

　　Clearly articulates the acceptance criteria

　　Showcase the business value for various features to the stakeholders via., sprint reviews

　　Work with the business owners, product leads, product managers and your scrum team to identify opportunities to enhance the product experience

　　Relies on limited experience and discernment to plan and accomplish goals

　　WHAT YOU HAVE

　　Should have minimum 5 to 9 years experience as Business Analyst

　　The candidate will be playing a Business Analyst role for an Agile Scrum team accountable for delivering high quality technical requirements based on which development team can manage the data with right business rules

　　The candidate will have a chance to dig into technical details surrounding product requirements and specificationCollaborate with DS & IA for ensuring the data governance

　　Promote a team culture and environment

　　Good to have Data analytics background (Bigdata, Databricks, Data Lake)

　　Good to have knowledge on Data Visualization, and DevOps culture

　　TECHNOLOGIES

　　SQL

　　Data Warehousing

　　WE OFFER

　　Opportunity to work on technical challenges that may impact across geographies

　　Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications

　　Opportunity to share your ideas on international platforms

　　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

　　Benefit package: Health benefits, Retirement benefits, Paid time off, Flexible benefits

　　Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

　　EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

　　At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.