Position: Data Analytics Consultant
Company: EPAM
Category: Data Science
Experience required: 5y
English level: upper
Published: 2020-10-01T00:00:00+03:00

What we offer:
•	Strategic engagements where you won’t just ‘follow’ decisions made in the past, but will have an opportunity to make an impact and build solutions supporting business strategies from scratch;
•	Minimal routine and no vanilla software development. Typical engagements include discovery, assessments, solution design including technical and business architecture and application;
•	Opportunity to work with C-level client stakeholders along best technology and business experts from EPAM;
•	Frequent business trips (post-COVID);
•	Opportunity to step into ownership role of a particular data-related competency.
#LI-DNI 
#LI-DNP 
Responsibilities
•	Manage consulting engagements, overall delivery, and the quality of the output
•	Build and manage customer relationship
•	Plan and initiate required elicitation/discovery activities to engage both business and IT stakeholders
•	Contribute to building the data transformation strategies for our customers
•	Design and drive stakeholder workshops/interviews to define and prioritize their strategic and immediate needs
•	Own and actively contribute to the project consulting deliverables, such as vision statements, assessment deck, roadmaps, etc.
•	Work in close collaboration with Solution Architects and Technical Leads to design the architecture that address strategic business needs
•	Implement industry best-practices following BI trends
•	Be Involved into conceptualization to help Business Analysis and Data Analysis teams with direction setting
•	Contribute to data competency best practice materials
•	Drive presale activities
•	Mentor others
Requirements
•	5+ years of total experience in data and analytics domain, 2+ years on project/program leading roles
•	Experience in working with senior business and IT stakeholders, as well as end-users
•	Solid knowledge of data and analytics landscape and recent trends
•	Experience in end-to-end data and analytics project delivery as part of the team (i.e. data lake, DWH, advanced analytics solutions, BI/reporting, AI/ML, etc.)
•	Ability to take ownership for end results and manage others to get there
•	Excellent communication skills. Ability to manage customer expectations, present and explain project deliverables to senior stakeholders
•	English level: C1+
Nice to have
•	In-depth knowledge and hands-on experience with one or more data and analytics technologies
•	Knowledge of one or more business domains
•	Experience building data and analytics organizations (center of excellence, data engineering pools, data science teams, etc.)
•	Experience running data-driven organization transformation
•	Experience running on-site customer workshops
•	Experience in pre-sales activities