Senior Business Intelligence Specialist

1 week ago

Budapest, Budapest, Czech Republic beBeeData Full time 400,000 - 800,000
Business Data Analyst Position

We are seeking a highly skilled Business Data Analyst to join our organization in Budapest. As a key member of our analytics department, you will be responsible for uncovering insights, conducting research, and processing large amounts of data to inform business decisions.

To succeed in this role, you will need to have a strong understanding of data analysis and business intelligence tools such as Power BI, Tableau, and SQL. You will also need to possess excellent communication and negotiation skills to work effectively with external organizations and internal stakeholders.

  • Key Responsibilities:
  • Elicitate and document user requirements using artefacts such as user stories, use case scenarios, and SRS.
  • Create automated dashboards and reports to facilitate company-wide awareness and understanding of key metrics using different BI and analytical tools.
  • Perform ad hoc analytic requests to transform data into information.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Economics, Mathematics, Computer Science, or related field.
  • English proficiency at level B2.
  • Experience with at least one BI tool (Power BI, Tableau, etc.).
  • Experience with DBMS (PostgreSQL or others).
  • Experience with SQL;
  • Familiarity with data warehouse and ETL.
  • Advanced level of MS Excel;
  • A clear understanding of the principles and specifics of software development methodologies (SDLC).
  • Ability to communicate and negotiate effectively with external organizations and internal stakeholders.
  • Good time-management skills, ability to learn quickly and handle multi-tasking activities.

Nice To Have:

  • Experience with Python 3 (Pandas, Numpy, etc.).
  • Git/VCS experience;
  • Understanding of data mining/analysis methods, working knowledge of statistical methods (Correlation, Regression, Cluster analysis, K-means, decision trees, etc.).
  • A/B testing techniques.
  • Expertise in Data Quality and Data Governance frameworks.
  • Data Lineage & Metadata Management Data Catalog.
  • Knowledge of data standards and regulatory requirements (e.g., GDPR, REMIT).

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