Data Analytics Consultant
100 - 130 PLN/ godz.B2B
MidFull-time·B2B
#400689·Dodano 12 dni temu·4
Źródło: AntalTech Stack / Keywords
SQLPythonPySparkData modelingDatabricksSnowflakeETLAzure
Firma i stanowisko
Antal is a leader in recruitment and HR advisory, operating in 35 countries and active in Poland since 1996. It has over 130 professional recruitment consultants specializing in various sectors and positions.
Wymagania
- Minimum 3 years of experience in data analysis, BI, or Data Consulting.
- Very good knowledge of SQL.
- Very good knowledge of Python (experience with PySpark is a plus).
- Practical experience in data modeling.
- Experience working with at least one platform: Databricks or Snowflake.
- Knowledge of data warehouse and ETL/ELT processes.
- Ability to translate business requirements into data solutions.
- Experience working with large datasets.
- Communicative knowledge of English (min. B2).
Nice to have:
- Knowledge of cloud platforms (Azure, AWS, or GCP).
- Experience with dbt, Airflow, or similar Data Engineering tools.
- Knowledge of data visualization tools (Power BI, Tableau, Looker).
- Experience working in Agile environments.
- Basic knowledge of Data Governance concepts.
Obowiązki
- Collaborate with business stakeholders in data-informed decision making.
- Gather and analyze business requirements and translate them into analytical solutions.
- Analyze large volumes of data from diverse sources.
- Design, develop, and maintain data models supporting reporting and analytics.
- Create and optimize data processing workflows.
- Prepare business recommendations based on analyses.
- Collaborate with Data Engineers, Analysts, and other technical teams.
- Support data environment development and best practices in data modeling.
Benefity
- Direct employment by Antal's client.
- Attractive salary and focus on long-term cooperation.
- Opportunity to work on modern data solutions in a large organization.
- Collaboration with an experienced Data & Analytics team.
- Participation in projects covering the full data lifecycle.
- Real impact on product and business process development.
- Flexible work model and attractive cooperation conditions.
- Access to a modern technology stack and opportunities for skill development.
Antal
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