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SAP Data Analytics Specialist

Role overview

Qualifications

  • Proven experience in data modeling and enterprise reporting solutions
  • Hands-on expertise with SAP Datasphere and SAP Analytics Cloud
  • Practical experience in API integration and authentication mechanisms
  • Proficiency in SQL and Git-based development workflows

Responsibilities

  • Design and develop data models in SAP Datasphere using graphical and SQL-based views
  • Build interactive dashboards and visualizations in SAP Analytics Cloud
  • Collect and integrate data from diverse external sources using APIs and authentication methods
  • Collaborate with business stakeholders to gather reporting requirements and translate them into robust solutions

Key facts

Hard skills

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We're looking for an SAP Data Analytics Specialist to join our team in Portugal in a remote working mode. In this role, you will design and implement data models, develop dashboards, and enable analytics capabilities using SAP Datasphere and SAP Analytics Cloud. You will collaborate with stakeholders to integrate diverse data sources, ensure data quality, and leverage modern platforms like Databricks to support advanced reporting and analytical use cases. This position offers the opportunity to drive data-driven decision-making in large enterprise environments. Responsibilities Design and develop data models in SAP Datasphere using graphical and SQL-based views Build interactive dashboards and visualizations in SAP Analytics Cloud Collect and integrate data from diverse external sources using APIs and authentication methods (e.g., Bearer tokens, OIDC) Collaborate with business stakeholders to gather reporting requirements and translate them into robust solutions Ensure data quality, consistency, and optimize performance across reporting layers Utilize modern data platforms such as Databricks for engineering and advanced analytics Develop scripts and automation for data processing in Python, particularly within Databricks environments Use version control systems and collaborate on code repositories in GitHub Requirements Proven experience in data modeling and enterprise reporting solutions Hands-on expertise with SAP Datasphere and SAP Analytics Cloud Practical experience in API integration and authentication mechanisms (Bearer token, OIDC, etc.) Proficiency in SQL and Git-based development workflows (e.g., GitHub) Familiarity with Databricks or similar modern data platforms for analytics use cases Nice to have Python programming skills for automation and data processing Experience with SAP HANA modeling and optimization Nice to have Python programming skills for automation and data processing Experience with SAP HANA modeling and optimization

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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