Analytics Engineer, Assistant Vice President, State Street Investment Management

The Analytics Engineer role is a hands-on, technical position within the Markets Intelligence and Strategic Insights team. The role will be instrumental in developing and enhancing Tableau dashboards and reports that deliver clear, actionable insights that inform decision-making across the business. The successful candidate will also play a key role in designing, building, and maintaining the analytical data infrastructure. Working closely with stakeholders across Strategy, Capital Markets, and Technology, this role focuses on developing robust ETL pipelines, integrating disparate datasets, and enabling scalable, reliable analytics across the business.

Key Responsibilities

• Focusing on impactful analyses that will significantly contribute to business objectives, the role will consist of contributing across the full analytical lifecycle, including data modelling and the development and maintenance of Tableau dashboards and reports that deliver clear, timely insights to technical and non-technical stakeholders

• Designing, implementing, and maintaining high-quality ETL and Lakehouse pipelines across Databricks and Amazon Redshift to support the Single Source of Truth (SSOT) project by centralizing and integrating disparate datasets (e.g. Salesforce/CRM, holdings and finance data) into a scalable analytical infrastructure

• Collaborating with Strategy and other business and technology stakeholders to understand key business and strategy questions, and producing analytical products that directly support commercial and strategic objectives

• Develop and enhance enterprise-grade Tableau dashboards that communicate trends, drivers, and performance clearly to both technical and non-technical stakeholders. Ensure dashboards meet standards for performance, usability, and interpretability

• Contribute to design decisions around data freshness, transformation layers, and analytical layer. Proactively identify data quality issues and partner with upstream teams to resolve them

• Work closely with the local VP to support team management and strategic planning

Required Qualifications

• A BS/MS in Computer Science, Data Science, Mathematics, Engineering, or related field (or related experience)

• 6+ years of relevant experience in analytics, analytics engineering, business intelligence, or data engineering roles, with at least 2–3 years building analytics solutions in a complex, enterprise data environment

• Demonstrated experience owning end‑to‑end analytical products (data modeling, transformations, dashboards, and stakeholder delivery) operating at a senior individual contributor level and influencing analytical approach, standards and design across projects

• Experience building and maintaining ETL pipelines in platforms such as Databricks with proficiency in Python, SQL and PySpark and a solid understanding of data modelling best practices

• Experience owning production reliability, validation and reconciliation against source systems, timely resolution of failures and clear documentation

• Experience partnering closely with IT and engineering teams to move analytical solutions through formal SDLC and change-management processes

• Strong collaboration skills and a question-first mindset, highly organized and comfortable in fast-moving environments, working across teams in different locations as well as independently, including mentoring junior team members

Preferred Qualifications

• Familiarity with and interest in financial markets and market data

• Additional experience in developing, automating, and scaling Tableau dashboards or similar BI tools

• Experience working with Databricks, Apache Spark, Amazon S3, Redshift or similar cloud data platforms

• Prior experience supporting and working on analytics teams within financial services or capital markets environments

• Familiarity with Salesforce/CRM or similar client data platforms

• Familiarity with Google Cloud / Google Enterprise AI tools (e.g. Vertex AI, Gemini)

• Exposure to AI-supported analytics or agent design patterns such as RAG, orchestration and routing

Minimum Salary:​

zł182 004 Annual

The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​

Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​

In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​

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We Offer:​

Permanent contract from day one​

Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​

Gold Medical Package for employees and their families (partner and children)​

Premium life insurance package and private pension plan​

Wide range of soft skills training, technical workshops, language classes and development programs​

Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​

Variety of well-being programs​

Additional benefits available depending on the seniority of the role

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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