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freiberufler Data Analyst | SQL, Python, Power BI, Databricks auf freelance.de

Data Analyst | SQL, Python, Power BI, Databricks

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  • Nähe des Wohnortes
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  • 27.10.2026
  • Contract ready
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Kurzvorstellung

Data & Pricing Analyst based in Erlangen, Germany (Opportunity Card holder). Skilled in SQL, Python, Power BI, Databricks & PySpark ETL pipelines. 15% revenue leakage reduction impact. Open for full-time roles & ANÜ projects.

Geschäftsdaten

 Freiberuflich
 Steuernummer bekannt

Qualifikationen

  • Apache Spark3 J.
  • Data Science
  • Databricks3 J.
  • Datenanalyse
  • Datenmodelierung
  • ETL-Entwickler
  • Microsoft Excel3 J.
  • Power Bi3 J.
  • Python
  • SQL3 J.

Projekt‐ & Berufserfahrung

Data Analyst (Working Student)
FAU Erlangen-Nürnberg, Erlangen
5/2023 – 12/2023 (8 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

5/2023 – 12/2023

Tätigkeitsbeschreibung

• Designed modular PostgreSQL/SQL transformation patterns and automated Python ELT pipelines from scratch to ingest and process unstructured data.
• Integrated AI coding workflows (Cursor, GitHub Copilot) to accelerate pipeline delivery, query optimization, and code validation.
• Implemented automated data quality controls, validation frameworks, and unit tests using PyTest to ensure high data integrity across analytical streams.

Eingesetzte Qualifikationen

Data Science, Data Warehousing, Databricks, Datenanalyse, Datenmodelierung, SQL, ETL-Entwickler, Python, Data Analyst, Amazon Web Services (AWS)

Business Data Analyst
Premier Engineering Ltd., Dhaka
12/2017 – 2/2021 (3 Jahre, 3 Monate)
Maschinen-, Geräte- und Komponentenbau
Tätigkeitszeitraum

12/2017 – 2/2021

Tätigkeitsbeschreibung

• Partnered directly with cross-functional sales and commercial teams, identifying critical commercial metrics and preventing revenue leakage by 15%.
• Translated business requirements into automated data transformation and ELT pipelines using advanced SQL and Power Query.
• Designed clear Power BI dashboards and pricing/sales reporting solutions to streamline commercial workflows.

Eingesetzte Qualifikationen

Apache Spark, Databricks, Power Bi, SQL, Microsoft Excel

Ausbildung

B.Sc in Mathematics
B.Sc.
Jagannath University
2016
Dhaka

Über mich

Commercial and Pricing Data Analyst based in Erlangen, Germany, with a strong quantitative foundation in computational mathematics and applied data engineering. Experienced in optimizing commercial revenue streams, designing automated ETL/ELT data pipelines, and implementing self-service BI solutions.

Key Highlights & Achievements:
• Prevented revenue leakage by 15% through quantitative data modeling, pricing strategy analytics, and market performance tracking.
• Built modular PostgreSQL transformation patterns and automated Python ELT pipelines.
• Integrated AI-assisted engineering tools (Cursor, GitHub Copilot) to accelerate pipeline delivery and SQL query optimization.
• Implemented automated data quality controls and PyTest unit test frameworks to ensure high data integrity.
• Designed interactive Power BI dashboards and pricing/sales reporting models for cross-functional commercial teams.

Current Visa & Work Status:
Currently residing in Germany on an Opportunity Card (Chancenkarte). Open to permanent full-time employment (Festanstellung) or temporary staffing agency contracts (ANÜ up to 20h/week).

Weitere Kenntnisse

Core Analytical & Technical Competencies:
• Business Intelligence & BI Tools: Power BI (Data Modeling, DAX, Interactive Dashboards), Power Query, Self-Service Reporting.
• Programming & Databases: Python (Pandas, PyTest), Advanced SQL (CTEs, Window Functions), PostgreSQL, Snowflake, Databricks.
• Data Infrastructure & Pipelines: Databricks, PySpark, Spark SQL, dbt, AWS (S3), Automated Data Quality Controls.
• Analytics & Methodology: Pricing Strategy, Revenue Optimization, Price Elasticity Analysis, A/B Testing, Quantitative Optimization, KPI Definition.
• AI Engineering Tools: Cursor, GitHub Copilot (Code acceleration and SQL validation).
• Certifications: Microsoft Certified: Azure AI Fundamentals.

Persönliche Daten

Sprache
  • Bengalisch (Muttersprache)
  • Englisch (Fließend)
  • Deutsch (Gut)
Reisebereitschaft
Nähe des Wohnortes
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
11
Alter
32
Berufserfahrung
8 Jahre und 10 Monate (seit 12/2017)

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