Data Analyst (2637)

The assignment focuses on collecting, analyzing, and interpreting quantitative business data to support decision‑making, business strategy, and performance improvement. The role involves ensuring data quality, applying statistical and analytical methods, and using business intelligence and visualization tools to produce structured and ad‑hoc reports and dashboards. The assignment also includes designing and analyzing surveys, identifying trends and discrepancies in datasets, and presenting insights and recommendations to internal and external stakeholders.

Responsibilities: 
– Collects, analyzes, reports, and interprets data to support the development of business strategies and tactics and the evaluation of results.
– Compiles, sorts, and organizes data in preparation for analysis.
– Identifies and resolves data quality issues through routine and ad‑hoc data cleaning and testing.
– Uses business intelligence and data analysis tools to create analyses and reports within a structured reporting framework.
– Applies complex statistical and/or data visualization techniques.
– Collaborates with internal and/or external clients to understand business requirements.
– Develops routine and ad‑hoc reports and dashboards based on requirements.
– Prepares and presents interpretations of findings to stakeholders.
– Assesses client needs and designs, executes, and analyzes surveys.
– Develops survey questions and provides feedback.
– Conducts background research.
– Supervises interviewers or other data collectors.
– Tests surveys for accessibility and user-friendliness.
– Troubleshoots sampling issues and reviews methods to improve future surveys.
– Summarizes and presents data using fact sheets, graphs, and tables.
– Responsible for collecting, reviewing, and interpreting quantitative data.
– Uses mathematical and statistical models to analyze data and present conclusions.
– Identifies differences, discrepancies, and trends in datasets to discover or remediate business issues.
– Applies sampling techniques to construct valid analyses.
– Analyzes and interprets statistical data.

Education: IT education
Experience: Experience with PowerBI/PowerApps
Language: English and Swedish