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Business Intelligence Analyst

Transcarent · Prague

New
🇬🇧 English
QlikView Qlik Sense Tableau SQL Excel Data warehousing ETL AWS Redshift Databricks SQL Server Python Metadata management Master data management Data quality tools

Job description

About the role

Transcarent is seeking a Business Intelligence Analyst I to transform data into actionable insights that support better business decisions. This early‑career position offers the chance to work with multiple data sources, develop interactive dashboards, and deepen expertise in SQL, data visualization, and analytics.

Key responsibilities

  • Design, build, and maintain interactive dashboards and reports using Qlik, Tableau, or similar BI platforms.
  • Write and optimise SQL queries for reporting, analysis, and ad‑hoc requests.
  • Collaborate with business stakeholders to capture requirements and deliver meaningful analytics solutions.
  • Present data insights and recommendations clearly to both technical and non‑technical audiences.
  • Troubleshoot reporting issues, identify root causes, and implement scalable fixes.
  • Create reusable reporting components, including calculations, metrics, and KPIs.
  • Work with data warehouses and cloud‑based platforms to integrate multiple data sources.
  • Manage multiple projects, communicate progress, and mitigate risks.

Required profile

  • Bachelor’s degree in Business, Information Systems, Computer Science, Engineering, or related field, or equivalent practical experience.
  • Approximately 3 years of experience in business intelligence, analytics, or reporting.
  • Strong analytical, problem‑solving, and attention‑to‑detail abilities.
  • Excellent communication skills for translating technical concepts to diverse audiences.
  • Ability to work independently, manage priorities, and navigate ambiguity.

Required skills

  • QlikView or Qlik Sense
  • Tableau (or similar BI tools)
  • SQL (querying and data manipulation)
  • Microsoft Excel
  • Data warehousing concepts
  • Data modelling
  • ETL processes
  • AWS Redshift (nice to have)
  • Databricks (nice to have)
  • SQL Server (nice to have)
  • Python for data analysis (nice to have)
  • Metadata management, master data management (MDM), data quality tools (nice to have)

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Published před 19 hodinami

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Transcarent

Prague