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Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments.
We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively.
We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world.
We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market.
Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services.
Learn more at www.epam.com.
We are seeking a Data Analytical Consultant & Data Product Owner to join our team.
The successful candidate will play a crucial role in fueling and building data products that solve customers' problems and keep them on track.
If you are interested in this opportunity – apply!
Responsibilities
Collaborate with Stakeholders and their teams to shape the end-to-end product strategy and determine business value
Define and propagate the main outcomes to achieve and track progress according to established success metrics
Work in close collaboration with Solution Architects and Technical Leads to decide what is the right data solution to build
Drive presale activities and manage consulting engagements
Cooperate and communicate with all relevant stakeholders so that they understand & carry the product objectives, prioritization and roadmap and so that their expectations are managed as clearly as possible
Keep the product backlog well prioritized, up-to-date, refined and clear
Understand and track the needs of our customers, in cooperation with other product teams
Help the team stay proactive in terms of what data could and should still be captured, integrated, processed, exposed
Assess availability and quality of data that are needed for the product, drive improvements plan within the client organization, be able to establish proper data governance process
Keep abreast of the data and analytics landscape and recent trends
Requirements
Have experience shipping digital B2B or internal products, preferably with a heavy data component (data lake, DWH, advanced analytics solutions, BI/reporting, etc.)
Are data savvy to be an effective filter for initial ideas, also in terms of technical and data feasibility. You have a good understanding of and interest in data architecture, data elements, and data life cycle
Are analytical, thus able to swiftly distill what truly holds value and to find simple solutions. You are comfortable using metrics and data to make decisions
Are structured & organized, thus effective in orchestrating efforts and secure delivery
Always lead and convince with the why
Understand the power of 80/20 and that perfection is a fun and iterative process
Are a frequent, concise and captivating communicator with solid writing skills. You thrive in keeping all relevant stakeholders informed and engaged. You have an ability to express your ideas also to a technical audience
Understand design thinking and inclusion from discovery to delivery to success measurement
Fluent in English (C1)
We offer
Opportunity to work in a fast-paced, agile, software engineering culture
Benefit program (5 weeks of vacation, 5 paid sick days, meal vouchers, cafeteria and recreation bonuses, reimbursement of glasses, contribution to pension fund)
Referral bonuses for recommended candidates
English language courses
Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period.
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.