Position: Lead Business Intelligence Analyst for Data Analytics Platform
Company: EPAM
Experience required: 5y
Category: Data Analyst
English level: upper
Published: 2022-07-01T00:00:00+03:00

Our client is one of the world’s leading global manufacturing and design solutions partners operating in multiple verticals. Built on a foundation of over 180,000 empowered employees in 105 sites across 28 countries, it celebrated its 50th-anniversary last year. The client’s unique combination of global expertise, ingenuity, analytics, and financial performance has contributed to the success of the world’s most well-known brands.

One of the key core team roles is that of a Lead Business Intelligence Analyst with the following scope of responsibilities:

Plan and execute elicitation/discovery activities to engage both business and IT stakeholders
Design and drive stakeholder workshops/interviews to define and prioritize their business needs
Translate business needs into requirements and work with the delivery team through the entire project lifecycle (overseeing developments and acting as a Product Owner)
Perform data discovery, data assessment, data profiling, and data modeling
Facilitate prototyping business needs and validate prototypes with business stakeholders before sending to mass production using mockuping/prototyping/data visualization tools
Conduct Sprint review sessions or UAT with customer stakeholders
Work in collaboration with customer stakeholders/delivery management / technical leads in the design phase of the data products that should address the business needs

The candidate should have good experience in end-to-end data and analytics projects discovery/delivery as part of the team (for example data visualization / reporting / BI, advanced analytics solutions) utilizing Agile and waterfall app, with a demonstrated ability to take ownership for the end-result, and to help developers to get there.

An ideal candidate would also have experience in acting as a Data Product Owner or similar roles on analytical projects, as well as scrum master/PM.