Analytics Engineer

Mentimeter is a inclusive and profitable startup founded in 2014. Six years later, we are listed as the fastest growing Swedish startup, have 150 million end-users and customers from over 150 countries. One of the reasons we are so successful in growing smartly is our continuous improvement on being data-driven in Product development, Marketing and Sales. To continue to help our teams understand our users even more effectively, we are expanding our Data Analytics team with an Analytics Engineer.
In this role, you will collaborate closely with teams across all departments to enable better use of our data. You will be a key member in the Data Analytics team, making sure we can use our data to its full extent and ensuring we have good practices in place for future growth. As such you will be developing our data models and data quality assurance and support data warehouse and data pipeline development as well as being a key stakeholder in collaborating with all different teams to ensure maximum data-usage efficiency across Mentimeter, through our BI systems and data education.
We work in small, independent, self-organizing teams. With a large interest across the whole organisation to become more data-driven, we value someone who enjoys optimising data knowledge and is incredibly collaborative.
What you’ll do
Take ownership and responsibility for the quality of our data with consideration for stakeholders, specifically:
Be responsible for the maintenance of BI tools and related systems (e.g. Salesforce, Google Analytics) used in Mentimeter, and scaling such systems and platforms as we grow
Empower others to use data in their work by training them and developing our data platform and making data accessible through our BI tools
Contribute to building tests to ensure data quality
Work closely within the data team to stay on top of any new workflows or features coming out and modelling the data for consumers
Be an important part of a growing analytics team to define standards and good practices



Our data tech stack
Currently we have AWS Redshift as our data warehouse and we encourage and help our Mentimeter colleagues use Metabase/Mixpanel/Salesforce to understand our users. We are also looking into more advanced tools such as Looker/Tableau/Sisense to help us scale our insights even more this year. Be part of the team to ensure we reach this goall
Skills & Requirements
Note that the following are qualities we believe you need to be able to enjoy and work effectively in what you’ll do and is by no means an exhaustive list. So please don’t see them as boxes to tick off, but rather a guide on how much it would help with your fit to the role.
Preferred skills/mindset:
Clear and effective communication skills in English (daily work is carried out in English and the Mentimeter team currently boasts 20+ different nationalities!)
Ability and motivation to learn new technologies and methodologies
Strong knowledge of relational databases and experienced with git, SQL and Python
Relevant education with a degree in engineering or comparable experience
Collaborator and educator when it comes to data-related requests



Preferred experience:
Working as a Data Engineer, BI Analyst/Developer or comparable positions
Developing and optimizing ETL processes, data modelling and data warehousing
Designing, implementing, and supporting BI tools to users across different departments
Performing root cause analysis on internal and external data and processes to answer specific business questions and seek opportunities for improvement
Hands-on working with data quality, automation and version control.



The following is “bonus experience”, i.e. great to talk about if you happen to have interest in too! You are capable of tackling vague problems, thrive when working on a team which has autonomy in their day-to-day decisions and especially enjoy the experience of restructuring data from multiple sources to get a holistic view of users.