Senior Data Analyst

🇩🇰 Denmark - Remote
📊 Data🟣 Senior

Job description

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 role:

You will be part of the Analytics & Insights product team—a cross-functional group of data engineers, analysts, designer and software engineers dedicated to turning product data into clear, actionable intelligence that guides strategic decisions. Day to day you’ll partner with Engineering to keep our data pipelines and models robust, collaborate with Product Managers to design meaningful telemetry and experiments, and provide timely analyses to colleagues in Sales, Customer Success and Strategy so they can better serve our customers.

The deliverables you create—dashboards, self-service reports and concise narrative analyses—will inform decisions across the company, influencing both product direction and commercial conversations. Your success will rest on upholding data quality, championing best-practice analytics and keeping a diverse set of stakeholders aligned on common goals. If you enjoy translating complex data into insights people can act on, and you thrive in a highly collaborative environment, this team is the place to be.

How we work:

At Templafy, we cultivate an office-first, collaborative culture where strong relationships and teamwork fuel innovation. We operate in a highly collaborative environment, working closely with Product, Engineering, Sales, Customer Success, and Strategy to keep our data models robust and aligned with business goals.

We value data quality, best-practice analytics, and experimentation, and empower teams to self-organize around impactful work. Our hybrid model encourages in-office engagement, fostering a sense of community and shared purpose. We maintain a flat hierarchy where everyone’s voice is valued and great ideas are welcomed from any level.

Beyond day-to-day work, we emphasize learning and personal growth, providing time and resources for certifications, explorative internal projects, and thought leadership through meetups and talks. At Templafy, we’re not just building software—we’re shaping the future of how enterprises create and manage documents.

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’re looking for a senior data analyst who brings curiosity, a sharp eye for detail, and a product-focused mindset to help us unlock insights and guide data-informed decisions. You thrive on experimenting with new approaches, amplifying your output with AI tools, and are always eager to understand the ‘why’ behind the data.

You have a strong analytical foundation and a track record of turning complex data into actionable recommendations that influence outcomes and drive product thinking. Your communication skills help translate complex findings into clear, actionable narratives for diverse audiences.

Key requirements:

  • You have at least 5 years of experience in data analysis or a related field, with proven expertise in writing complex SQL and working with large datasets.
  • You’re comfortable using statistical programming languages such as R or Python and are familiar with modern data transformation tools like dbt.
  • You have hands-on experience with data visualization platforms such as Power BI, Tableau, or Looker, and are confident in presenting insights clearly to both technical and non-technical audiences.
  • Your strong communication skills help you translate data into narratives that drive product thinking and decision-making.
  • You’re structured in your approach, proactive in identifying opportunities for impact, and thrive in cross-functional environments where collaboration is key.
  • It would be an advantage if you have a background in statistics and machine learning.
  • Technical requirements: SQL, Python/R, data visualization, and data transformation tools (e.g., dbt, Power BI, Tableau, Looker)

Employee Benefits

  • Employee equity program
  • Private health insurance
  • Company lunch contribution
  • Phone and broadband covered by company
  • Centrally located office – easy access to public transportation
  • Company events and team activities
  • Calm and classpass apps
  • Flexible work environment

At Templafy, we’re all about building an inclusive culture where talented people come together to spark creativity in a dynamic, collaborative space. Strong relationships and teamwork are at the core of everything we do, and with our flat structure, everyone’s ideas count regardless of your role or experience.

We’re big on social events that foster connection and build a diverse, empowering community. From celebrating milestones to participating in employee resource groups or eating lunch together, we create space for meaningful team bonding.

Our mission goes beyond just building a product; we’re shaping the future, and we’d love for you to be a part of this epic journey with us.

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.

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