SENIOR DATA & MODELLING ANALYST (F/M/D)

Posted 22 Days Ago
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Vilnius, Vilniaus apskritis, LTU
Hybrid
Senior level
Utilities • Renewable Energy
The Role
The role involves designing data architectures, leading data-driven projects, collaborating with stakeholders, and developing automated data analysis processes. Proficiency in Python and SQL is critical for building data pipelines and delivering analyses.
Summary Generated by Built In
Company Description

Do you want to contribute to projects that are changing the future of energy generation and consumption across the Baltic region? Ignitis Group is a renewables-focused integrated utility with a diverse team of 4,400+ energy smart people united by a common purpose to create a 100% green and secure energy ecosystem for current and future generations.  

Ignitis Group is active in the Baltic states, Poland and Finland. We are leveraging our integrated business model to maximise potential. We set our focus on onshore and offshore wind, batteries, pumped-storage hydro and power-to-X technologies, to deliver 4–5 GW of installed green generation and green flexibility capacity by 2030, thus strengthening our contribution to Europe's decarbonisation and energy security in the region. 

www.ignitisgrupe.lt 

Job Description

At Ignitis Group, we are assembling a dynamic team to harness the power of data across finance, operations, and sustainability domains. We are seeking a Lead Data Analyst with expertise in data modeling and data warehouse design, who can also drive analytical initiatives and automation. You will play a dual role in designing data architecture and providing insightful analyses that support strategic decisions. If you're ready to lead and shape the future of sustainable energy, we would be thrilled to have you join our team!

Take YOUR part in #EnergySmart!

You will contribute to the creation of a green and secure energy ecosystem by:

  • Collaborating with stakeholders to drive data-driven strategies and inform decision-making processes
  • Translating complex business requirements into user stories and technical specifications that guide analytics solutions
  • Developing automated processes to streamline data analysis and reporting, ensuring insights are delivered efficiently and accurately
  • Leveraging Python and SQL to build robust data pipelines, perform complex queries, and deliver high-quality analyses
  • Serving as a key advisor for analytical decisions, offering expertise in both data modeling and warehouse design
  • Designing data warehouse architectures, including star schemas, to optimize data storage and retrieval

Qualifications

  • Proven experience in data modeling, data warehouse design, and star schema architecture
  • Proficiency in Python and SQL for advanced data manipulation, analysis, and automation
  • Experience in translating business requirements into technical solutions and user stories
  • Excellent communication skills with the capacity to advise stakeholders on analytical decisions and data warehouse design
  • Proactive approach in managing projects and driving cross-team collaboration
  • A track record of successfully leading data-driven projects from concept to execution

Would be an advantage:

  • Experience with data visualization tools (e.g., Tableau, Power BI) for creating compelling visual narratives
  • Knowledge of data governance and best practices to ensure data integrity and security
  • Experience with Microsoft Fabric solutions or similar technologies
  • Experience in building and managing data models in DBT

Additional Information

  • A package of additional benefits to choose from: pension accumulation, health insurance, or another benefit from the selectable benefits list in the MELP application
  • Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience
  • A hybrid work model (3+2) and flexible working hours
  • Extensive learning and qualification enhancement programs
  • Mentorship-based culture designed to facilitate meaningful and value-driven work
  • Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations
  • Leverage your knowledge and experience in unique energy projects of national importance 

Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100% green and secure energy ecosystem for current and future generations.

And the way to achieve this is certainly not to wait for the perfect moment. We believe that the power to act comes from the charge we bring to our work every day. United by purpose. Owning the challenge. Passion for reinvention. Pursuing excellence. These are our mindsets. Together, they yield the energy that drives everything we do. The energy generated by our choices. If you are guided by the same mindsets – we look forward to welcoming you to our team!

As we pursue our strategic goals to increase gender balance in Ignitis Group, we are indicating “f/m/d” next to job titles, meaning we welcome candidates of all genders – female, male or diverse.

Ignitis Group ensures equal opportunities. We welcome all applicants and do not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.

Skills Required

  • Proven experience in data modeling
  • Proven experience in data warehouse design
  • Proficiency in Python for advanced data manipulation
  • Proficiency in SQL for data analysis and automation
  • Experience translating business requirements into technical solutions
  • Excellent communication skills
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The Company
HQ: Vilnius, Vilniaus
1,628 Employees

What We Do

Ignitis Group is a renewables-focused integrated utility. The group’s core activities include power and heat production and supply, power and natural gas trading and distribution, and power system maintenance and development. The development of green energy is a priority for Ignitis Group with an aim to become the region’s main competence center for new energy and a leader in distributed energy solutions in the Baltic Sea region and beyond. Group companies operate in Lithuania, Latvia, Estonia, Poland and Finland. Group innovation fund invests in energy startups in the UK, Norway and France.

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