Data Lead

E Conomic; København; Hybrid; DKK 900,000 - 1,300,000; Full time

Benefits offered by this job

Flexible Work Life

Global Vibes

Well-being

Security

Tech Choice

Prime Location

Job summary

e-conomic, the Danish accounting platform used by 300,000+ small businesses, is hiring a Data Lead to own the data foundation behind AI-driven insights, trustworthy results and the ability to answer every product question with data. You will influence how data is defined, stored and consumed across the organization and partner with product leadership to shape the future of our analytics-driven products.

You will join Product Intelligence, lead data governance, establish standards and processes,

Qualifications

• A deep analytics-engineering foundation: SQL, data modelling, warehousing, ELT, semantic/metrics layers; comfortable in dbt-style tooling.
• A track record of holding a mandate across teams: Standards, governance or data strategy that other teams actually adopted, not only delivered inside your own.
• Credibility with senior stakeholders: You hold business priorities first, can say no to a director with a better reason than capacity, and communicate clearly at executive level.
• Direction and hands-on, in the same week: Setting direction in the morning, reviewing a transformation model in the afternoon and accountable for it actually happening.
• AI-native practice: You use AI tools in your own work and have a view on where self-service and agents replace the human bridge in a data team, and where they don't yet.
• Language: Fluent professional English.

Responsibilities

• The direction for product data: What we measure, what correct and live mean, and which data from new products reaches the warehouse.
• Prioritisation by business impact: Weigh every data request for value and cost before capacity decisions, with a clear line to say no or re-scope.
• Shared standards for all analysts: Define definitions, frameworks and tooling decisions via the data board and community of practice.
• One trusted truth about our product and customers: Lead cross-department work to define metrics and ensure numbers are trusted in management reporting.
• A self-service, AI-enabled way of working: Enable product teams to answer their own data questions through robust tooling.
• Depth when it matters: Assess asks, escalate modelling and data quality questions, and work with analysts on indicator construction.

Skills

SQL

Data modelling

Warehousing

ELT

dbt tooling

Stakeholder mgmt

English fluency

Tools

Python

Job description

Set the direction for data at the platform 300,000 Danish businesses run their accounting on

e-conomic is the accounting platform 300,000+ Danish small businesses and the accounting offices that serve them run on. We stand on 25 years of financial data from those businesses, one of the deepest datasets on Danish small businesses that exists, and a compliance position competitors can't copy.

That is what we are building our agentic future on top of: AI that posts transactions, closes the books and catches anomalies, and every accountant-verified result makes the next one better. The flywheel only turns on data we can trust: to know what the AI actually did for an accountant, to see one true picture of our customers that every department recognises, and to let every product team answer its own questions without waiting in a queue.

We are hiring a Data Lead to own the data foundation behind those aspirations: the analytical layer that tells us what the AI delivered, what our customers do, and whether we can trust the answer – and the insight that shapes our direction. Data as a strategic function, not a reporting one.

THE TEAM

You join Product Intelligence, the data and insight team of our product organisation: three business analysts, an analytics engineer and you, reporting to the Manager of Product Intelligence. You work directly with the CPO and product leadership, with our central Data & AI Platform team, and with analysts in every department.

The Setup:

This is a new role. Governing structures, such as a Data Board, are being established rather than inherited, and the standards you will hold our data to don't exist yet. You build legitimacy through the data board and through the quality of your calls, not through a reporting line and you will have senior management's backing while you do it. If you need a title to lead, this will frustrate you. If you've done it before without one, it is the interesting part.

YOUR IMPACT

• The direction for product data: What we measure, what "correct" and "live" mean, and which data from new products reaches the warehouse. The platform team builds and runs the pipelines; you define what good looks like together with the product intelligence team.
• Prioritisation by business impact: Every data request, including from leadership, is weighed on value and technical cost before it gets capacity. You hold that line, with the mandate to say no or re-scope. You answer for one published way to request and prioritise data work in the product organisation, and for ad hoc requests becoming the exception.
• Shared standards for all our analysts: Definitions, frameworks, ways of working and the tooling choices that bind more than one team, decided in a data board you run together with the head of our data platform (Data & AI Platform), and carried through a community of practice across the company. You answer for the product and analytics side of the data board, the decisions getting made and holding across departments - with Data & AI Platform answering for the platform and architecture side; and for analysts working to shared standards.
• One trusted truth about our product and customers: Lead the cross-department work to get there - tooling, customer-level metrics, feature adoption, time in product - and be in the room when it is used for decisions, not asked for a dashboard afterwards. You answer for definitions agreed, owners named, and the numbers being used and trusted in management reporting.
• A self-service, AI-enabled way of working: Drive the ambition that every product manager, designer and engineer answers their own data questions through our tooling and trusts the answer, and be the technical review path that makes that safe to scale.
• Depth when it matters: Judge what an ask really requires, raise the modelling, versioning and data-quality questions before anyone points at them, and sit with an analyst on how a specific indicator is built when the answer depends on it.

YOUR PROFILE

Someone who can lead from both ends of the table: carry the business priorities in the room with senior stakeholders, and carry the technical discussion with engineers and analysts – and hold the two together when they pull in different directions.

• A deep analytics-engineering foundation: SQL, data modelling, warehousing, ELT, semantic/metrics layers; comfortable in dbt-style tooling.
• A track record of holding a mandate across teams: Standards, governance or data strategy that other teams actually adopted, not only delivered inside your own.
• Credibility with senior stakeholders: You hold business priorities first, can say no to a director with a better reason than "capacity", and communicate clearly at executive level.
• Direction and hands-on, in the same week: Setting direction in the morning, reviewing a transformation model in the afternoon and accountable for it actually happening.
• AI-native practice: You use AI tools in your own work and have a view on where self-service and agents replace the human bridge in a data team, and where they don't yet.
• Language: Fluent professional English.

Nice-to-have

• Product analytics in B2B SaaS
• event tracking and BI tooling
• fintech or accounting domain
• experience in a decentralised data organisation
• working knowledge of Python

If you are deeply technical and still growing into senior stakeholder work, apply anyway – the team around you is strong on the business side, and we would rather develop that than the reverse.

YOUR E-CONOMIC BENEFITS

• Flexible Work Life: Adapt your work environment and hours to suit your lifestyle, with hybrid options available.
• Global Vibes: An international workplace with +30 nationalities.
• Well-being: Access a range of services to support your physical and mental health.
• Security: Comprehensive health insurance and company-paid pension.
• Tech Choice: Select your preferred gear, be it Mac or Windows.
• Prime Location: Located in Carlsberg Byen, equipped with the latest facilities.

THE RECRUITMENT PROCESS

The Interview Process

Applications are reviewed continuously, and we invite candidates for interviews as we go.

Initial screening:

chat to learn more about your motivation and align on compensation together with Diana, Talent Partner.

1st interview:

Meet up with Simona, Team Manager and Emma, Business Analyst, where we’ll learn more about you, and you’ll get to know the role more in depth. Duration: ~60 min.

2nd interview:

Case Study presented to the Product Intelligence team and Data & AI Platform. You’ll receive a business case and personality assessment in advance to prepare. We will dedicate at least 1 hour of this session to an interactive case presentation and strategic discussion.

If all interviews align, we typically follow up with two short reference calls as part of the process.

Do you want to know more about us?

Read further and watch the new episode on e-conomic