S&OP Data Analyst – Snowflake & Data Modeling (Global)

Academic Work Finland Oy

Uusimaa

On-site

EUR 52,000 - 75,000

Full time

2 days ago
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Benefits offered by this job

Lunch reduction
International work environment

Job summary

Academic Work Finland Oy is seeking a Data Analyst to support the S&OP enhancement program by coordinating data development across divisions and harmonizing transformation logic. You will act as the technical bridge between local business teams and external architects to enable scalable, unified data solutions.

The role focuses on developing reusable Snowflake models, driving data harmonization, and ensuring data quality across source systems and Snowflake.

Qualifications

  • Advanced knowledge of SQL and Snowflake.
  • Experience in data engineering, analytics, or integration, including ETL/ELT pipelines.
  • Solid understanding of data modeling and data quality principles.
  • Proven ability to coordinate technical development across multiple business units.

Responsibilities

  • Coordinate data pipeline and development activities across multiple divisions.
  • Harmonize data transformation and business logic to improve consistency and reuse.
  • Act as the technical interface between divisional data teams and external architects.
  • Support divisional experts with SQL and Snowflake development and troubleshooting.
  • Develop proof-of-concept Snowflake views and datasets for common S&OP requirements.
  • Identify opportunities to create common data models and reusable components.
  • Ensure data quality and resolve integration issues across source systems and Snowflake.

Skills

SQL
Snowflake
Data modeling
ETL/ELT pipelines
Data coordination

Tools

Snowflake
ERP SAP

Job description

Academic Work Finland Oy is seeking a Data Analyst to support the S&OP enhancement program by coordinating data development across divisions and harmonizing transformation logic. You will act as the technical bridge between local business teams and external architects to enable scalable, unified data solutions.

The role focuses on developing reusable Snowflake models, driving data harmonization, and ensuring data quality across source systems and Snowflake.

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