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Data Analyst (Early Careers)
OSTTRA
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 11/2/2026
About this role
About the Role: This entry-level role is your chance to turn raw data into critical insights that guide decision-making across our entire organisation. You'll collaborate directly with Sales, Product Owners, and Senior Management and others, gaining exposure to a wide range of business functions. We are looking for a motivated, collaborative, kind, and humble individual to join our team. You'll get hands-on with our modern data stack—think GCP, BigQuery, DBT, and Airflow—to build robust data solutions. This is more than just running queries; you'll help teams define their data needs and build the data models and Looker dashboards that answer their most pressing questions. For a recent graduate, this is a unique opportunity to apply your knowledge, master in-demand technologies, and see your work make a tangible impact. We foster a collaborative environment where you'll be encouraged to learn, communicate effectively, and leverage our AI-assisted development workflow to enhance analysis and build solutions more efficiently. Responsibilities and impact: OSTTRA has the largest financial institutions in the world as clients. We believe that long-term value to the client is the most important goal of our team, and technology is the tool to bring that value, and your contribution in the form of delivery, improvements and innovations can have a significant impact on the financial system. Data Analysis and Interpretation: Analyse and interpret complex data sets to identify trends, patterns, and actionable insights. Collaborate with business stakeholders to understand their challenges and translate them into data requirements. Report and Dashboard Development: Design, build, and maintain interactive and user-friendly dashboards and reports in Looker. Iterate on and enhance existing reports based on user feedback and evolving business needs. Data Modelling & Transformation: Use DBT to transform, model, and test data within our data warehouse, preparing it for analysis. Contribute to the development and maintenance of our Airflow managed data pipelines to ensure data is accurate, timely, and reliable. Work with data engineers to improve data quality, consistency, and ingestion processes. Collaboration and Communication: Work closely with cross-functional teams to gather requirements, present findings, and provide data-driven recommendations. Clearly communicate complex insights and technical concepts to non-technical stakeholders. Continuous Learning: Stay curious and up-to-date with the latest trends in our tech stack (GCP, BigQuery, DBT, Looker) and the broader data analytics field. Proactively seek opportunities for skill development and training, including leveraging our internal AI-assisted tools. What's in it for you: We strongly believe in individual growth and have long experience in guiding early careers engineers in our modern approach to software production, which includes: Rapid, iterative and phased delivery, backed by automated testing and deployment frameworks. Streamlined, autonomous and independent teams, optimised and supported for fast change. Clean architecture for maintainable, scalable, and flexible code, aligned with the team structures and with clear boundaries and responsibilities. Innovative culture with strong focus on exploration and prototyping, where failing fast is a virtue which drives technological and product improvements. What we’re looking for: Fundamental requirement: Degree in Engineering, Computer Science, Information Technology, Statistics, Economics, or a related quantitative field. Strong analytical, quantitative, and problem-solving skills. Excellent communication and collaboration skills. Ability to adapt to a fast-paced and dynamic work environment. A genuine eagerness to learn, grow, and take on new challenges in the data field. Additional preferred requirements: Internship or academic project experience related to data analytics or business intelligence. Familiarity with SQL, data modelling and data warehousing concepts. Basic programming skills (e.g., Python). Experience with a BI tool (like Looker, Power BI, etc.) from projects or internships. Exposure to version control (e.g., Git) and cloud platforms (e.g., GCP, AWS, Azure). To be considered for this position, please upload both your resume and your official/unofficial academic credentials/transcripts (betyg). Applications missing these documents will not be processed. The location: Stockholm, Sweden Right to work requirements: This role is limited to persons with right to work in Sweden. Our Benefits: Global vision, local impact At OSTTRA, our benefits philosophy offers a market-competitive package that reflects our position as an industry leader. We want to ensure you feel valued, secure, and empowered wherever you are in the world. Our approach is built on three core pillars: Global foundations: We provide a baseline of excellence across all our offices, focusing on comprehensive Health & Wellness, Financial Security, and Work-Life Balance. No matter your location, you are part of a culture that prioritizes your holistic well-being. Locally tailored: We benchmark in each market to ensure our packages are genuinely competitive where you live and work. Flexibility and growth: We empower you to work in a way that suits your life. This includes a hybrid working model, generous leave policies, and a commitment to your continuous professional development. The Trust employee ownership plan Every employee at OSTTRA is an owner, and a member of The Trust, our employee ownership programme. Our distinct culture encourages colleagues to think and act like owners and raise the bar constantly. This plan reflects our belief that when we work together to build a stronger, more valuable organisation, then all colleagues should benefit from the value we create. About OSTTRA We build and operate the infrastructure that the world’s post-trade financial system runs on. Launched in 2021, we have unified more than 20 years of heritage and expertise from four industry leaders into a single, integrated business. Today,we operate a trusted network that connects thousands of market participants to streamline end-to-end workflows, from trade capture through portfolio optimisation.We translate industry change into workable process, engineering an open, intelligent ecosystem that removes friction and reduces risk for the global markets.Our distinct ownership culture is underpinned by four behaviours: boldness, curiosity, accountability, and collaboration. In 2025 we were acquired by KKR, one of the world’s most successful private equity firms, and are on a journey of growth and impact. Joining our team now is a unique opportunity - you will help to shape the next generation of post-trade, transform shared infrastructure into shared benefit, and accelerate your own career. Learn more at www.osttra.com. Equal opportunity employer statement at OSTTRA: We are committed to fostering a connected and engaged workplace where all colleagues have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasise fairness, transparency, and merit, ensuring that we attract and retain the best talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive and operate the infrastructure that the world’s post-trade financial system runs on.