Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Data Analyst to join our dynamic team.

What You Will Work On:

• Design and Develop Data Models: Build scalable, efficient data models aligned with business processes, ensuring data governance and trust across the organization.
• Expert in Data Transformation: Automate data transformations using SQL and DBT, and leverage Python for custom solutions where needed.
• Lead Analytical Projects: Drive data-driven initiatives that test hypotheses, solve complex problems, and provide actionable insights to stakeholders.
• Innovate and Experiment: Stay at the forefront of industry trends in data processing and explore new methodologies to enhance data infrastructure.
• Share Your Work: Present data models, analytical insights, and innovations to both internal teams and external stakeholders with clarity and confidence.

What You Bring:

• Professional Background: Proven experience in a Data Analyst, Data Engineer, or Data Scientist role, with a strong focus on data modeling and transformation.
• Educational Qualification: Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Computer Science, Engineering, or Physics.
• SQL Proficiency: Expertise in SQL with the ability to design, optimize, and analyze complex data queries.
• Data Modeling Skills: Deep understanding of data modeling concepts to empower end-user self-service analytics.
• Programming Skills: Proficiency in Python or Go for advanced data manipulation and automation.
• Data Visualization: Strong ability to translate data into clear, actionable insights using visualization tools like Tableau.
• Cloud Computing Awareness: Familiarity with modern cloud-based platforms and SaaS solutions, particularly FiveTran, Snowflake, DBT, and Tableau.