Head Analytics Engineering & Self-service

SIX Group Services Ltd.; Madrid; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading analytics firm in Madrid is looking for a skilled team leader to enhance their self-service analytics ecosystem. The role requires over 5 years in data analytics and at least 1 year in management. Key responsibilities include mentoring a team, engaging with stakeholders, and defining user enablement strategies. Strong technical skills in Databricks, Python, and Power BI are essential. Join us in shaping a data-empowered organization with flexible work models and a commitment to personal development.

Servicios

Flexible work models

Personal development opportunities

Agile working methods

Formación

• 5+ years in data/analytics roles with 1 year in leadership.
• Hands-on experience with data analytics tools.
• Ability to guide users and build trust across teams.

Responsabilidades

• Drive a decentralized analytics approach to boost user autonomy.
• Define training and documentation strategies on analytics tools.
• Support business stakeholders in leveraging data effectively.
• Mentor the analytics engineering team and manage project priorities.

Conocimientos

Leadership experience

Technical proficiency in Python

Stakeholder communication

Data governance

Financial data understanding

Educación

Degree in Data Science, Engineering, Computer Science, or Business

Herramientas

Power BI

Databricks

SQL

Descripción del empleo

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BME - Bolsas y Mercados Españoles - drives the transformation of financial markets and belongs to SIX, the third largest exchange group in Europe.

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

Madrid, Warsaw | Working from home up to 40% | Reference 7582

Are you passionate about empowering people with data and shaping modern self‑service analytics? Do you enjoy working where technology, product thinking, and user enablement come together? Then our Analytics Engineering & Self‑Service team wants to hear from you. We are a driven and collaborative group responsible for building the foundations, governance, and tools that enable SIX BFI to become a truly data‑empowered organization.

In this role, you will lead the evolution of our self‑service ecosystem while coaching a small team and partnering closely with business stakeholders and platform engineering. Your mission is to scale autonomy, strengthen data literacy, and ensure that users across the organization can explore, analyze, and act on data with confidence.

What You Will Do

• Shape and Evolve the Self‑Service Operating Model: Drive a decentralized analytics approach that boosts autonomy for end users, defining clear ownership boundaries and ensuring scalable, efficient ways of working across teams.
• Lead User Enablement Strategy: Define the strategy for ongoing training, documentation, and enablement programs—leveraging your own team and indirect contributors to deliver high‑impact sessions on Azure, Databricks, Power BI, and related tools.
• Act as a Platform and Data Expert: Develop deep expertise in SIX BFI’s data assets and analytics platforms, guiding users, answering complex questions, and helping teams get the most value from available tooling.
• Engage and Support Stakeholders: Serve as the primary partner for business stakeholders—gathering needs, offering hands‑on support, and ensuring feedback directly shapes platform improvements and user experience.
• Lead and Develop the Team: Mentor a small team of analytics engineers and specialists, set execution priorities, and ensure the team focuses on high‑value projects while maintaining responsive user support.

What You Bring

• Leadership Experience: 5+ years in data/analytics roles and at least 1 year managing people in a data‑focused environment, balancing strategy with hands‑on execution.
• Education: A degree in a relevant field (Data Science, Engineering, Computer Science, Business, or similar) is welcome, but equivalent hands‑on experience in analytics leadership is equally valued.
• Technical Proficiency: Hands‑on experience with Databricks, Spark, Python, SQL, dbt, and BI tools (such as Power BI), with the ability to coach users and guide platform adoption.
• Governance & Operating Model Insight: Experience defining ownership boundaries, establishing ways of working across teams, and aligning decentralized analytics practices with organizational goals.
• Communication & Stakeholder Skills: Ability to translate complex data concepts to technical and non‑technical audiences, build trusted relationships, and tactically guide users across multiple departments.
• Domain Awareness & Language Skills: Financial data understanding is a plus, English fluency is required, and experience navigating multinational environments is beneficial.

If you have any questions, check out our FAQ page or call Yuliya Stoyko at [phone] .

For this vacancy we only acceptdirect applications.

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

What We Offer

Flexible Work Models We trust our employees and offer a work environment that is well-balanced, productive and fosters success.

Personal Development You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.

Agile Working Methods Whether through scrum or design thinking, we solve exciting tasks together in teams.