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Templafy

Senior Data Analyst

Posted 5 Days Ago
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Hybrid
Copenhagen, Capital
Senior level
Easy Apply
Hybrid
Copenhagen, Capital
Senior level
The Senior Data Analyst interprets data for insights, supports strategic decisions, collaborates with stakeholders, and enhances data transformation initiatives.
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About us:

Templafy is the next gen document generation platform that automates all document creation across organizations. Our platform eliminates manual document work allowing companies to drive governance, efficiency and ultimately business results. Templafy supports millions of users and enables over 800 enterprise customers such as KPMG, IKEA, BDO and more.

Founded in Copenhagen, Denmark, in 2014, Templafy’s success is built by our 60+ employee nationalities found at offices around the world. We believe when people feel they belong, have a voice, and feel heard, they are happier and perform better, and that way, everyone wins. Our innovation, diversity, and unique product have raised over 200 million in funding from Insight Venture Partners, Seed Capital, Dawn Capital, Damgaard Company and Golub Capital.

About the position

As a Senior Data Analyst at Templafy, you'll play a pivotal role in interpreting and analyzing data to derive meaningful insights and support strategic decision-making. This role is central to our overarching data transformation initiative, and you will significantly influence laying the foundation for this transformation.

A key aspect of this role is collaboration with various stakeholders, including Data Engineers, Analytics Engineers, and data consumers such as Business Analysts. You will ensure that everyone is working together towards our common goals and that our data is being used effectively and efficiently across the organization. Templafy is building out our data capabilities to be more accommodating to our new strategies, by for example rolling out new data quality frameworks, dbt, and Purview data cataloging to support our already well-oiled data analytics platform on Azure Synapse Analytics, Data Lake, Azure SQL.

How we work

  1. Teams: The Data & Analytics team is nimble and empowered; and has interested parties across the entire company. Together with our Engineering teams, we live an agile mindset. Teams are self-organized and free to choose their process, but most use a flavor of Kanban with two-week sprints. We believe in lean principles - e.g., short feedback cycles and small batch sizes. All teams, including the Data & Analytics team, have full responsibility for the features they own. We work in a hybrid model where we spend at least three days in the office a week, as we like spending time together.
  2. The Data & Analytics Platform: Our platform is built as the single source of truth of all data sources in Templafy, and we ingest, transform, and expose data to all the different business stakeholders across the organization as a self-service solution.
  3. Data Tools: Our Platform is built on Microsoft Azure. We are rolling out dbt as our transformation layer, and we consume data in fit-for-purpose analytics tools like Power BI, Gainsight, Amplitude, and more. We believe that insights should be present where it fits the consumer.
  4. Learning: We believe in lifelong learning and encourage everyone to read books, attend conferences, and take courses and certifications. We want to invest in everyone’s personal and professional development, and therefore we provide the necessary resources to support this. Every sprint, we spend the last two days with explorative internal projects, and POC’s to foster innovation, and from time to time, we also host and speak at meetups.

Technologies we use

  1. Data Platform: Azure Synapse, Azure Data Lake, SQL Databases, Azure Functions, Synapse Analytics, dbt, Purview
  2. Programming Languages: Python, SQL, Jinja, etc.
  3. Data Reporting: Power BI, Excel, DAX
  4. Hosting: 100% Azure

What we expect from you:

We would like to hear from you if you are a service-minded collaborator who enjoys working with multiple stakeholders throughout the business daily.

  1. 5+ years of experience in data analysis or a related field.
  2. Proficiency in SQL and experience with at least one statistical software such as R or Python is required.
  3. Experience in data visualization tools such as Tableau, PowerBI, or Looker, and using dbt for data transformation and modeling is also preferred.
  4. Advanced analytical and problem-solving skills and excellent written and verbal communication skills.

Benefits 

  • Employee equity program   
  • Private health insurance 
  • Company lunch contribution  
  • Language (Danish) courses 
  • Phone and broadband covered by company  
  • Centrally located office – easy access to public transportation 
  • Company events and team activities 
  • Flexible work environment 

Templafy is a workplace of belongingness. To us this means that you have a voice, you dare to speak up, and your voice is heard. We focus on offering an environment that allows all employees to feel that they belong regardless of race, color, ancestry, religion, gender, gender identity, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or other status.

Top Skills

Azure Data Lake
Azure Synapse
Dax
Dbt
Jinja
Power BI
Purview
Python
SQL

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