HQ - Analytics Engineer (EMEA Remote)
hace 2 semanas
As the key bridge between Finance and Data, you will translate financial needs into scalable data models and analytics solutions. You'll work closely with FP&A Managers, Finance Analysts, Data Engineers, and other stakeholders to design, build, and maintain robust analytical datasets and pipelines that turn raw data into trusted financial insights.
If you thrive in ambiguous environments, enjoy owning problems end to end, and are excited about shaping how Finance leverages data in a fast-paced, scale-up environment, this is your opportunity to make a real and lasting impact.
What you'll be doing
- Support the FP&A data model: Help design and maintain scalable data models that serve as a reliable source of truth for Global P&L and FP&A reporting.
- Bridge Finance and Data: Work closely with FP&A stakeholders and the Data team to understand business needs and translate them into analytical datasets.
- Build and maintain data transformations: Develop and maintain data models using dbt and Redshift SQL to enable accurate financial analysis.
- Deliver analytical datasets: Design and implement datasets that support planning, forecasting, and financial decision-making.
- Collaborate with stakeholders: Partner with Finance Managers, Analysts, and Data Engineers to validate data, improve pipelines, and ensure solutions meet business needs.
- Ensure data quality: Apply testing and documentation best practices to maintain trust and transparency in financial data.
- Continuously improve: Contribute to improving existing data processes and working practices within the Analytics Engineering team.
- Experience: 3–5 years of experience in Analytics Engineering, Data Engineering, or technical roles close to Finance or Analytics.
- Strong SQL & dbt skills: Solid experience using SQL (any dialect) and dbt to build and maintain analytical data models.
- Data integration exposure: Experience working with data from multiple sources and helping consolidate it into consistent, well-structured datasets.
- Analytical mindset: Strong problem-solving and debugging skills, with the ability to investigate data issues and understand underlying business logic.
- Stakeholder collaboration: Comfortable working with Finance and Data stakeholders, gathering requirements and translating them into technical solutions.
- Communication: Good verbal and written communication skills in English, with the ability to explain technical concepts to non-technical audiences.
- Curious and proactive: A learning-oriented mindset, eager to improve data quality, processes, and personal technical skills.
- Education: Bachelor's degree in a quantitative field (Computer Science, Engineering, Math, Statistics, Economics, or similar).
Ready to make an impact? Apply today and take your sales career to the next level At Job&Talent, we value diversity and are proud to be an Equal Opportunity Employer. We welcome applications from all qualified individuals, regardless of background, race, disability, religion, or sexual orientation. Join us - we look forward to your application.
#LI-ML1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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