Data Technology/Business Analytics Consultant
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"EPAM" is looking for a Data Technology Consultant to join a growing Data Practice team and help clients unlock the full potential of their data. You will work on large-scale projects across various industries: finance, retail, energy, life sciences, and the public sector.
What you will do
- Participate in developing clients' data analytics strategies;
- Evaluate and select data technologies that meet clients' goals;
- Analyze existing data architecture and identify opportunities for improvement;
- Assist in implementing data management, quality, and confidentiality practices;
- Provide consulting services to clients on implementing generative AI;
- Explain complex technical issues in a business-friendly language and build strong relationships with clients.
Who we are looking for
- 5+ years of experience as a Data Technology Consultant or Solutions Architect;
- Knowledge of at least one area: data engineering, cloud data warehouses, BI tools, distributed data processing, or Data Science;
- Familiarity with at least one cloud platform (AWS, Azure, or GCP);
- Understanding of data management and confidentiality regulations;
- Experience working on Agile/Scrum projects;
- Strong communication and client-facing skills.
Preferred: knowledge of AI/ML frameworks, generative AI, MLOps, and relevant certifications.
To learn more about the position, please visit: https://epa.ms/ge-vacancy-data-technology
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"EPAM" is looking for a Business Analytics Consultant to join the Data Practice team. Your task will be to create data-driven products for clients across various industries, from idea generation to product implementation.
What you will do
- Lead the full cycle of data product creation, from research to implementation;
- Collaborate with clients to identify industry challenges and define product goals;
- Translate business needs into product requirements, technical design, and a work plan;
- Participate in product creation;
- Select suitable technologies, including AI, cloud platforms, and scalable data processing;
- Measure product results and continue to improve it after launch.
Who we are looking for
- 7-10+ years of practical experience in creating data products or data-driven software solutions;
- Experience in bringing products from prototype to production;
- Strong technical knowledge in at least one area;
- Experience in designing architecture and making technology choices;
- Familiarity with business processes and metrics in at least one industry;
- Ability to communicate effectively with both business and technical teams;
- Good command of English.
Preferred: in-depth knowledge of finance, retail, energy, or other industries, experience working in a regulated environment, and implementing AI products.
To learn more about the position, please visit: https://epa.ms/ge-vacancy-business-analytics