Vacancy catalog
EPAM
Open role>14 days

Senior Reporting & Data Analytics Specialist

EPAMBulgaria; Croatia; Czechia; Georgia; Hungary; Lithuania; Romania
Work model
Remote
Experience
3+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
11 tags

Technology context

11

Parsed from the vacancy text; ordered by relevance to this role.

AIPythonCloudAPIDatabricksAutomationSQLGitSAPSAP (Others)SAP Analytics Cloud

Full listing

Role description

We are looking for a Senior Reporting & Data Analytics Specialist to support data-driven decision-making by designing, modeling, and visualizing data across multiple platforms. The role involves working with SAP BI tools, integrating data from various sources, and contributing to modern data workflows.

Responsibilities

  • Design and develop data models in SAP Datasphere, using both graphical and SQL-based views
  • Build interactive dashboards and reports in SAP Analytics Cloud to support business insights
  • Collect and integrate data from multiple external sources through APIs, handling various authentication methods such as Bearer tokens and OIDC certificates
  • Collaborate with stakeholders to understand reporting requirements and translate them into effective technical solutions
  • Ensure data quality, consistency, and performance optimization across all reporting solutions
  • Work with modern data platforms such as Databricks to support advanced data engineering and analytics use cases
  • Develop scripts and automation using Python for data processing and integration within the Databricks environment
  • Use version control and collaborate on code and assets through GitHub

Requirements

  • At least 3 years of professional relevant experience in reporting and data analytics
  • Strong background in data modeling and reporting activities
  • Hands-on experience with SAP Datasphere and SAP Analytics Cloud
  • Familiarity with Git-based workflows through GitHub for collaboration and version control
  • Solid understanding of SQL for querying and modeling data
  • Exposure to Databricks or similar modern data platforms
  • Practical experience with Python for data processing or automation tasks
  • Confident English communication at B2 level or higher, in both written and spoken forms

Nice to have

  • Experience working with APIs and authentication mechanisms such as Bearer tokens and OIDC
  • Practical background with SAP HANA for enterprise data management and analytics