Strategic Data Consultant

EPAM Systems

Colombia

On-site

COP 167,400,000 - 234,360,000

Full time

14 days+

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Benefits offered by this job

Learning platform access
Health coverage
Visual health allowance
Life insurance
Medical leave coverage
Professional growth
Stock purchase plan
Referral income
Global community

Job summary

EPAM Systems seeks a seasoned Data Consultant to align business goals with data-driven strategies. You will enable organizations to harness data value, uncover actionable insights, and deliver measurable outcomes across cutting-edge projects.

Responsibilities span defining metrics, collaborating with architects and engineers, leading engagements, and guiding data governance, with emphasis on scalable, high-performing data programs.

Qualifications

  • 5+ years in Data Software Engineering or similar roles.
  • 1+ year in data analytics consulting or data product management.
  • Proven leadership experience on data-driven initiatives.
  • Experience delivering multiple project life cycles.

Responsibilities

  • Identify business challenges and design data solutions aligned with goals.
  • Define metrics, outcomes, and track progress for success.
  • Collaborate with architects and data engineers on scalable strategies.
  • Lead engagements and contribute to presales with analytics expertise.
  • Prioritize product backlog to meet customer needs.
  • Assess data quality and governance improvements.
  • Stay current with analytics trends and integrate them.
  • Assist with data integration and preparation for decision-making.
  • Communicate findings clearly to technical and non-technical audiences.

Skills

Data software eng
Leadership
SQL & Python
Cloud platforms

Tools

Tableau
Power BI
Looker
Hadoop
Spark
Kafka

Job description

EPAM Systems seeks a seasoned Data Consultant to align business goals with data-driven strategies. You will enable organizations to harness data value, uncover actionable insights, and deliver measurable outcomes across cutting-edge projects.

Responsibilities span defining metrics, collaborating with architects and engineers, leading engagements, and guiding data governance, with emphasis on scalable, high-performing data programs.

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