Senior Data Analyst, Madrid

Senior Data Analyst

Do you have business analysis background and wide knowledge and experience in Data Analytics roles? Are you an open-minded professional with good English skills? If it sounds like you, this could be the perfect opportunity to join EPAM as a Senior Data Analyst.

Our teams work in highly agile working environments for Fortune 1000 clients, following XP practices and best CI / CD practices. We are looking for a Data Analyst with open-minded personality, who can join our friendly environment and become a core contributor to our team of experts.

Our client is a global investment firm that multiplies the potential of companies and people to build successful businesses with growth ambitions. Their sector expertise, thematic approach, value-based investment philosophy and commitment to partnership help them drive long-term value and transform businesses into market leaders.

#LI-DNI

Responsibilities

• Collect and refine business and technical requirements
• Write documentation
• Handle changes requests,plan scope
• Manage expectations
• Investigate incidents (data and dashboard related)
• Consult client on data solutions (propose best dashboard layout and logic)
• Perform source-to-target mapping between several systems and from the source system to the final KPI on the dashboard
• Support on the build-up of our Data Catalog within our client, enhancing completeness and accuracy of our Data Dictionary, Business Glossary, Data Lineage, Data Classification and Governance

Requirements

Nice to have

We offer

EPAM is a leading digital transformation services and product engineering company with over 52,650 EPAMers in more than 55 countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga and Madrid as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

Python, SQL