Senior Data Analyst

Senior Data Analyst – Data Infrastructure & Analytics

Part-time (20hrs a week), Remote

At The Global Talent Co., we provide opportunities to work with leading innovative technology companies worldwide, offering stable employment, competitive compensation, career growth, and access to a community of 25k+ like-minded marketing professionals.

About the Company

Join a mission-driven, fast-growing food tech company based in Berlin that's reimagining the future of plant-based meals. With innovation at its core, the company delivers sustainable, high-quality products designed to make healthy eating effortless and enjoyable. Their collaborative culture values creativity, ownership, and data-driven decision-making. This is your chance to contribute to a company that's shaping healthier lifestyles across Europe.

About the Job

As a freelance Senior Data Analyst, you'll take charge of the company's data infrastructure and analytical systems, playing a pivotal role in driving strategic insights and operational excellence. This role is ideal for a data-savvy professional who thrives at the intersection of analytics and engineering. You'll work cross-functionally to ensure seamless data integration, empower stakeholders with meaningful insights, and elevate the company's decision-making capabilities.

What You'll Do

1. Design, develop, and maintain scalable data models in BigQuery using dbt to support business and analytics needs.
2. Build and manage robust ETL pipelines using tools such as Airbyte or Fivetran for seamless data ingestion.
3. Develop clear, actionable dashboards and reports using tools like Tableau, Holistics, or Looker.
4. Collaborate with cross-functional teams to gather business requirements and deliver tailored data solutions.
5. Continuously improve data quality, reliability, and processing efficiency.
6. Translate raw data into business insights to inform strategic initiatives.
7. Proactively troubleshoot and resolve any data infrastructure issues.

Requirements

1. Proven track record as a Senior Data Analyst with a strong foundation in data engineering.
2. Proficiency in Google BigQuery and building data warehouses.
3. Hands-on experience with dbt for transformation and modeling workflows.
4. Strong business acumen and ability to convert business needs into analytical solutions.
5. Expertise in data visualization tools such as Tableau, Holistics, or Looker.
6. Advanced SQL skills with a focus on performance and complex queries.
7. Ability to work independently in a freelance setup with excellent time management.
8. Experience in building and maintaining ETL pipelines, ideally using Airbyte or Fivetran.
9. Strong analytical thinking and proactive problem-solving mindset.
10. Comfortable collaborating with analysts, engineers, and infrastructure teams across the organization.

Ability to work 20hrs per week aligned to CET business hours