Senior Data Analyst – 10427

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.