Senior analytics consultant at Yellow Elk. Before that, leading the Swedish Data Analyst Chapter at Volvo Group. Based in Gothenburg. Educational background covering economics, statistics and software engineering. Work experience as data analyst and BI developer (back-end and front-end) within different industries such as real-estate, tourism/hospitality and retail. Driven and motivated by creating business insights and problem solving.
jan 2024 - [now]
Senior analytics and BI consultant. Offering services in data engineering, back-end BI development, front-end BI development and advice/strategies around data-driven transformation. Based in Gothenburg.
aug 2022 - jan 2024
Leading the group of Data Analysts in Sweden. Line manager role (~15 employees), responsible for the Swedish branch of DAs. Upskilling, trainings, recruitment, development of ways of working etc. Based in Arendal, Gothenburg.
aug 2021 - aug 2022
Business Intelligence consultant. Back-end and front-end, mainly using the Microsoft BI suite. Based in Mölndal.
aug 2019 - aug 2021
Business Intelligence consultant. Back-end and front-end (mostly SQL Server, SSAS and Power BI). Based in Gothenburg.
aug 2018 - jul 2019
Self-employed consultant with focus on data analysis, web statistics and BI.
aug 2015 - jul 2018
Responisble for tourism and hospitality analysis at Turistrådet Västsverige (West Sweden Tourism Board). Evaluations and reports regarding the tourism industry as a whole, as well as specific actions taken by the West Sweden Tourism Board to promote tourism (such as marketing campaigns and business development actions).
aug 2012 - jul 2015
Analyzing the regional (Gothenburg and surrounding areas) market for rental housing contracts. Communication (oral presenations and written reports) of the results to different stakeholders such as landlord companies, local municipalities and the public. Frequent use of statistical methods, data mining and report compilation.
Courses in software engineering (2018-2019, 60 credits (SWE))
Courses in object-oriented programming (C++, Java), data modelling and networking.
PhD level courses (2014, 15 credits (SWE))
Courses at PhD level, such as advanced microeconomic theory and game theory.
MSc in Economics (2007-2012, 300 credits (SWE))
Five years of studies resulting in a MSc with a major in industrial organization.
Various courses (2009, 30 credits (SWE))
Courses on different topics related to business and economics.
Certified 2020-09. SQL Server 2016.
Microsoft Certified Professional. Based on exams 70-761 (Quering Data with T-SQL) and 70-762 (Developing SQL Databases).
Certified 2023-05.
Databricks Certified Data Analyst Associate. Based on official Data Analyst Learning Plan from Databricks Academy.