Data Analyst

Role:
Conduct advanced data exploration and analysis using modern data mining techniques (including machine learning) visualization tools or a combination thereof to provide insights that help employees and stakeholders make better decisions.

Evaluate the potential and usability of raw unstructured internal and external data sources for use in product analysis and datadriven decisionmaking in general.

Write highly detailed SQL queries that extract transform and load data from storage to an appropriate format using joins nesting and more advanced operations as an integral part of data processing pipelines with cost and execution time efficiency in mind.

Ensure that solutions meet and adapt to actual business needs to continuously generate value by listening to and guiding colleagues from Data & Analytics and employees from different functions.

Lead and educate the organization on agile ways of working in relation to advanced analytics especially on topics like performance measurement and hypothesis testing as standard practice to maximize key metrics and ensure that we achieve the OKRs set by Group Digital.

Proactively manage relevant organizational processes including meetings with relevant stakeholders and/or teams to drive intended outcomes.

Ensure that analytical solutions are built according to best practices by continuously learning from and comparing against industry standards.

Engage in interviews coaching and mentoring of junior team members to ensure transfer of skills and a highperforming team.

Essential requirements:
Broad knowledge of data mining techniques modern visualisation software or relevant domain datasets and tools for analysing them

Extensive knowledge of data preprocessing techniques e.g. how to handle missing data

Extensive understanding of how to leverage large datasets to improve decisionmaking in a business setting

Broad knowledge of relevant scripting languages (such as Python) and the role of notebook environments for sharing findings and code with others

Broad knowledge of probability and statistics including hypothesis testing using controlled experiments (e.g. A/B testing)

Extensive knowledge of SQL and the role it plays in data analysis

Good understanding of collaborative software engineering practices (Agile DevOps) in which solutions evolve through the effort of selforganising crossfunctional teams

Broad knowledge of digital product development principles and the importance of rapid validated learning cycles to optimise performance long term

Minimum 5 years of professional experience as a Business Analyst (Junior) Data/Web Analyst or (Junior) Data Scientist

Extensive knowledge of data processing for large datasets

Experience with presenting to large audiences and senior stakeholders

Familiarity with cloud computing environments e.g. Amazon Web Services or Google Cloud Platform

Preferred: Experience with digital product development in a retail setting

Highlighted:

Data analysis GCP Big Query SQL Power Bi and or other reporting tools.

Previous experience of working with and defining performance metrics and KPIs

Please explain how you meet all the requirements when applying.

Utilization: 100%
Location:Malm
Period:
Last day to apply:
We present regularly.This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement we recommend that you submit your application as soon as possible.