Global Data Solutions Architect

7 hours ago


Gothenburg, Västra Götaland, Sweden Techster Full time

Job Description

Are you a motivated professional with a passion for data-driven decision making? Do you thrive in fast-paced environments where no two days are the same? At Techster Solutions, we're seeking a highly skilled Global Data Solutions Architect to join our team.

Key Responsibilities:

  1. Requirement and Vision
  • Collaborate with business stakeholders to understand and define business requirements.
  • Translate business needs into technical solutions, ensuring alignment with strategic goals.
  • Conduct data-driven analysis to provide insights and recommendations for business improvement.
  • Document business processes, data flows, and key performance indicators (KPIs).
Development
  • Design and develop robust BI dashboards and reports using tools like Power BI and Tableau.
  • Implement data models and visualizations to drive decision-making processes.
  • Ensure data quality, consistency, and accuracy in reporting.
  • Optimize existing reports and BI systems for scalability and performance.
  • Describe and request scalable data products from our data teams.
  • Collaborate with the data science and analytics teams to build data infrastructure and support machine learning models.

Requirements:

Do you fit the profile?

You probably have several years of work experience, and a bachelor's or master's degree in computer science, data science, information systems, business, or related fields. You should also have several of the following competences:

Technical Expertise:
  • Proficient in SQL and data warehousing (Snowflake or similar)
  • Strong hands-on experience with BI tools (Power BI)
  • Experience of dbt is a plus
Business Acumen:
  • Excellent ability to translate complex data into actionable insights for business teams
  • Familiarity with business process mapping and requirement gathering
  • Experience working with cross-functional teams to align data solutions with business goals
Analytical Skills:
  • Strong problem-solving skills and the ability to work independently on complex tasks
  • Proficiency in data analysis techniques and tools (Python, R, Excel, etc.) is a plus
Communication:
  • Ability to clearly communicate technical solutions to non-technical stakeholders


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