Analytics Engineer

Our vision is to transform presentations, meetings and lectures by turning passive audiences into engaged contributors. We make this possible through our interactive presentation platform where the traditional presentation monologue becomes an inclusive dialogue. We believe in the power of together and that the most successful leaders listen to be heard.
With Mentimeter, users become the best presenter they can be. Meetings become more productive, participants learn more and have fun whilst doing it.
We have more than 300 million users and customers worldwide, on our way of making the world a better place, one presentation at a time.
We are building a modern, friendly, and diverse product-first tech company based in Stockholm and we would love for you to join us!
What you’ll do
As an Analytics Engineer, you will collaborate closely with teams across all departments to enable easier and better use of our data. You will be a key member in a dedicated Analytics Foundation 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, work with data governance, as well as supporting the data warehouse and data pipeline development. You will also be a key stakeholder in collaborating with all different teams to ensure maximum data-usage efficiency across Mentimeter, through our BI systems and data education. Today, your team consists of two Analytics Engineers.
The Analytics Foundation Team at Mentimeter works towards data enablement in the wider organization by setting standards for data modeling, data dev ops and (BI-) tooling.
The team is part of the larger Data and Analytics organization which consists of other embedded and central teams of data engineers, scientists, analysts and insight people. Here, you’ll be working on a data ecosystem that serves all of the departments (Product, Marketing, Sales and Finance) with both data as well as tooling. You will have a direct impact on the future of Mentimeter’s business and product decisions.
With a large interest across the whole organization to become more data-driven, we value someone who enjoys optimizing data knowledge and is incredibly collaborative. Some of the tools that we’re using are dbt core, Looker, Hex, Prefect and Fivetran. Currently we are on Amazon Redshift, but are currently evaluating switching to Snowflake due to expanding business needs.
Key responsibilities:
Design, own and maintain our core data models and modeling architecture.
Empower the organization to use and interpret data.
Develop, own and maintain data modeling standards and the data development experience
Collaborate closely with data engineers to validate and ensure high data quality. E.g. though implementing and maintaining automated data quality assurance.
Collaborate closely with stakeholders in the data department as well as in other departments to develop and deliver data modeling which drives insights and in-depth analysis.This includes initiating and leading cross-team department projects.
Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling and BI-tooling.
Maintain and share knowledge of data through our BI tools and similar systems for data documentation and consumption (e.g. a data catalog).
Collaborate closely with stakeholders in all departments to ensure alignment on priorities and strategic decisions.

We believe you have:
5-8 years of previous experience working as an Analytics Engineer, Data Analyst, Data Scientist, BI-Analyst, Data Engineer or similar role
Strong knowledge of SQL
Knowledge of data modeling principles
Experience programming in Python or similar programming languages
Experience with BI tools and development of BI features
Hands-on experience working with users across departments; including leading cross-department projects
Knowledge of software collaboration using git.
Good communication and pedagogical skills to lead and coach others on technical skills
Comfortable communicating with a diverse set of both technical- and business stakeholders in English

It is beneficial if you have:
Experience with dbt
Experience with Looker and LookML
Hands-on experience working with defining and automating data quality assurance
Hands-on experience working with data governance
Professional experience working in an agile environment

Not required:
Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities).
A cover letter is not required as part of your application

Please note that this role will have its base in our Stockholm office and is primarily an onsite role, with the opportunity to work from home twice per week.