Data analyst

Tembi Copenhagen Full-time

Salary Competitive

Data Analyst
We believe businesses around the world should have access to open data, helping them to better understand their market and competition - and how it will evolve. Simply put, leverage prescriptive intelligence, and gain foresight by answering the questions that give a competitive edge!

Our vision is to answer questions in every industry, but we have started with e-commerce and real estate where we collect the right data to forecast & predict answers to questions like this:

• Which company is about to move in within the next 12 months?

• Which companies will grow?

• How many web shops deliver cosmetics in different countries?

• What is the average delivery time for all web shops?

• How can we reduce CO2 footprint?

Tembi is developed by an internal team that possesses all the competencies involved in building data driven SaaS web products. We have data engineers, data scientists, data analysts, software engineers, UI/UX designers, front end developers and agile coaches. We are committed to our company values to innovate, collaborate, and support each other. We celebrate our wins and take every opportunity there is to improve and to learn new things. We believe in agile ways of working and apply a start-up mentality in everything we do.

Location: The role is located in Copenhagen, Denmark. You need to be on location four days per week. Our office is located 5 min walk from Nørreport station.

Who are you?
We are on the lookout for a Data Analyst who thrives on diving deep into data to uncover trends and opportunities. If you are driven by the thrill of turning data into actionable insights— identifying growth opportunities and visualizing complex datasets in compelling ways—you might just be the one, we are searching for.

Being part of our tight-knit team means every day is unique. Some days you will be deep diving into data, making sense of patterns and anomalies. On others, you will be brainstorming with colleagues, ensuring that our predictive models are in line with the latest trends and customer needs. Agility is our mantra, and your commitment to swift, quality deliveries without cutting corners will resonate deeply with our ethos.

Given the pivotal nature of this role, there's ample room for you to become a subject-matter expert. With this comes significant responsibility, as your insights will shape the models and analyses, we present to our clients. We are passionate about individuals with a growth mindset—those who view challenges as intriguing puzzles rather than roadblocks. Our team is on a rapid trajectory of growth and evolution, and adaptability is key. You might be consulted or even asked to help with coding our front-end or creating a special report for clients, we need people who do not get scared when asked to try new things.

Your Main Responsibilities:

• Identify opportunities for business growth and efficiency improvements through data analysis.

• Gather, clean, and maintain data from multiple sources while ensuring data accuracy and integrity.

• Explore relationships between various data sources to uncover insights.

• Use statistical methods, machine learning algorithms, and predictive modeling to address business questions.

Other Aspects of the Role:

• Collaborate with sales and product development teams to understand and fulfill data needs.

• Present complex analyses as clear, actionable conclusions.

• Organize team outings to your favorite pastime—whether it is golf, climbing, biking, skeet shooting, or something entirely unique.

Qualifications to Excel in This Role:

• Proficiency in Python and experience with platforms like Databricks.

• Advanced Excel skills, including pivot tables and complex formulas.

• Expertise in Power BI and DAX for creating advanced dashboards and visualizations.

• Strong analytical and problem-solving skills, with proven experience in data analysis.

• Detail-oriented, self-motivated, and passionate about uncovering trends and driving innovation.

• Critical thinking skills to analyze data, identify inconsistencies, and apply logical reasoning.

• Experience with data warehouse environments and cloud platforms (e.g., Azure) is a plus.

• Prior experience in building or contributing to a product is an advantage but not required.

Dive into the data-driven world with us, harnessing the power of predictive analytics to shape the future of businesses. We eagerly await your expertise and fresh perspectives.

What we offer:

• A highly entrepreneurial environment with flat hierarchies and short decision paths.

• We are 25 colleagues today, have clients in fourteen markets, and have an ambition to build a fast-growing organization. You’ll be part of the ride from nearly the start and learn how to build a software company from the ground up.

• Outstanding engineering and product team, shipping high-quality product incredibly fast.

• Salary and packages are tailored individually based on experience and fit for the team.

• An office full of talented, mission-driven people.

• A position with direct feedback from customers.

• A strong, collaborative work environment with a history of successful startups.

• Enjoyable lunches at our Cantina and a multicultural team that communicates in English.

• Office stocked with free snacks, soda, and coffee

• Located at Fiolstræde, centrally in Copenhagen near Nørreport. (25 min from Malmö)

• Diverse team with members from (Denmark, Sweden, Chile, Iran, Spain, Ukraine, and India)

Application process:
The application process begins with a review by our team. Following this, candidates will undergo interviews conducted via voice or video calls. Successful candidates will then be invited for an in-person interview where they will have the opportunity to meet the team to ensure a good fit. During this process there may be a technical test and TT38 personality test. We care about finding the right person for the job with best fit for the team. The final stage includes contract negotiations. The entire hiring process is expected to take anywhere from a few days to a couple of weeks.

This is not a consultant opportunity and we respectfully ask not to be contacted regarding consultancy offers.