Data Consultant

2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. We are seeking an experienced Data Consultant to join our team and deliver impactful solutions by aligning business goals with data-driven strategies. In this role, you will help organizations maximize the value of their data by uncovering insights and driving meaningful outcomes. This is an excellent opportunity to work on cutting‑edge projects and collaborate with leading technologies in the data analytics field. Responsibilities Collaborate with stakeholders to identify business challenges and craft tailored data solutions that align with organizational goals Define performance metrics, establish desired outcomes, and monitor progress to ensure measurable success Work closely with Solution Architects and Data Engineers to design and implement scalable and efficient data strategies Lead consulting engagements and support presales efforts by demonstrating expertise in analytics and understanding client needs Manage and prioritize the product backlog to align with strategic objectives and customer expectations Evaluate data quality and availability to identify areas for improvement within governance processes Stay informed on emerging trends in data analytics and integrate this knowledge into ongoing projects Assist with data integration, processing, and preparation to ensure clean and actionable data for decision‑making Communicate insights and strategies effectively to technical and non‑technical audiences to ensure stakeholder alignment Requirements A minimum of 5 years of experience as a Data Analytics Consultant, Data Product Manager, or a similar role in consulting At least 2 years in leadership positions such as Manager, Architect, Owner, or Coordinator A minimum of 1 year managing a team of five or more individuals Experience participating in at least two full project life cycles or working across multiple phases of various projects Strong knowledge of data platforms and hands‑on experience delivering solutions such as data lakes, analytics systems, and reporting tools Proficiency in SQL and Python with advanced coding skills in both Experience with cloud platforms like AWS, Azure, or GCP and their related data services Expertise in data architecture, lifecycle management, and data product design principles Demonstrated leadership and project management experience in data‑driven initiatives Strong analytical skills with the ability to simplify complex problems and provide actionable insights Proven ability to collaborate with technical teams and business stakeholders to deliver effective solutions A track record of successfully leading and delivering data projects that achieve measurable results and address business challenges Excellent organizational skills with the ability to manage multiple priorities and projects simultaneously Fluency in English, both written and spoken, at a B2 level or higher Nice to have Experience with visualization tools like Tableau, Power BI, or Looker Certifications in cloud technologies such as AWS, Azure, or GCP Hands‑on experience with big data tools such as Hadoop, Spark, or Kafka Familiarity with AI/ML technologies and predictive analytics solutions Understanding of Agile or Scrum methodologies for effective project management Ability to lead workshops, deliver presentations, and conduct client‑facing training sessions We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award‑winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering, Information Technology, and Business Development Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet #J-18808-Ljbffr