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Full-time
bachelor degree
Gold Medical Package, Premium life insurance, Private pension plan, Soft skills training, Technical workshops, Language classes
Posted 15d ago
Apply by Sep 1
~40 hrs/week
Responsibilities
The Senior Associate will deliver accurate risk analytics products, including dashboards and recurring reports, to support non-financial risk management. They will also contribute to data science initiatives and automation projects to improve data quality and decision-ready insights.
Requirements
Candidates should have at least 3 years of experience in analytics or a related field and hold a bachelor's degree in a quantitative or technical discipline. Proficiency in Python, SQL, Power BI, and advanced Excel is required, along with strong attention to detail and structured problem-solving skills.
Full job description
Who we are looking for
We are looking for a high‑energy, detail‑orientedSenior Associateto join our Non‑Financial Risk Analytics team, reporting to anAssistant Vice President. You will help deliver accurate, stakeholder‑ready risk analytics products (dashboards, recurring reports, extracts) and contribute to data science and predictive analytics work that strengthens how we monitor and anticipate non‑financial risk trends. Our work supports risk management across operational, technology/cyber, and compliance domains, where data quality and disciplined execution matter.
The role can be performed from Krakow or Gdansk, Poland. The role is a hybrid opportunity, 3 days onsite, 2 days remote.
Primary Responsibilities
Produce and maintain recurring analytics deliverables (dashboards, reports, datasets) with strong controls, documentation, and cycle‑to‑cycle consistency.
Perform data validation and reconciliations; investigate discrepancies, trace issues to source, and document root cause and remediation actions.
Build and enhancePower BIdashboards based on prepared data models, following design standards and stakeholder needs.
Develop and supportautomation(Python/SQL-based) that replaces manual refreshes; assist with testing, monitoring, and controlled change implementation.
Contribute todata science and predictive analyticsuse cases (e.g., trend drivers, forecasting, anomaly signals, NLP exploration), and help translate results into clear, decision‑ready insights.
Proactively communicate risks to delivery (data delays, quality issues, unclear requirements) early and clearly; partner with the AVP on prioritization and stakeholder updates.
Required Qualifications
Functional / Domain
Basic to intermediate understanding ofrisk managementconcepts (deep expertise not required; genuine interest in learning is required).
Strong attention to detail and commitment to data accuracy and controlled reporting practices.
Experience working withlarge structureddatasets (Excel, SQL, or similar), including reconciliations and root-cause tracing.
Technical / Analytics
Python (intermediate):able to write and debug data processing scripts independently.
SQL:comfortable extracting, joining, filtering, and aggregating across relational datasets.
Power BI:able to build and maintain dashboards; implement measures and filters from a prepared model with guidance.
Excel (advanced):pivot tables, XLOOKUP/VLOOKUP, Power Query; able to support validation and controls.
Exposure to automation concepts (scheduled scripts, refresh cycles, testing and validation).
Behavioral
Learning agility and comfort ramping quickly across a new domain, tools, and reporting cadence.
Structured problem‑solving:can diagnose issues, propose fixes, and escalate appropriately.
Ownership mindset and proactive communication—no surprises at deadline.
Preferred Qualifications
Experience with predictive analytics or data science (coursework, projects, or applied work), including EDA, basic modeling (regression/classification/forecasting), and model evaluation concepts.
Familiarity with non‑financial risk programs such as incidents, issues/findings, KRIs, RCSA (or adjacent risk reporting).
Curiosity about AI/LLM tools and how they can support analytics workflows (with appropriate controls and review).
Education & Experience
Bachelor’s degree (or equivalent practical experience) in a quantitative or technical field (e.g., analytics, data science, engineering, economics, finance, computer science).
Typically3+yearsexperiencein analytics/reporting, data engineering, risk analytics, or a related role.
Minimum Salary:
zł87,000 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.
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.
At State Street, we deliver leading investment platforms, data, expertise, and solutions that accelerate performance and better decision making.
With over 200 years of global financial leadership, we equip institutional investors through a comprehensive suite of capabilities:
Investment Services: Integrated front-to-back solutions across custody, accounting, and operations.
Investment Management: Index and active strategies from one of the world’s largest asset managers.
Markets: Multi-asset trading, FX solutions, and data-driven research to enhance portfolio value.
Who We Are
• 50,000+ employees worldwide
• Active in 100+ markets
• #1 in ETF servicing
What You’ll Find Here
• Executive perspectives and thought leadership
• Timely market commentary and macro insights
• Our views on investment operations, ETFs, private markets, and digital finance
• Stories reflecting our culture, values and commitment to diversity and inclusion
Offices: 1 Congress St, Boston, Massachusetts 02114, US · Avenida Paulista, 283/287, Sao Paulo , 01311-000, BR · 3550 Lenox Road, NE, 15th Floor, Atlanta, Georgia 30326, US · 801 Cassatt Road, Suites 211 and 300, Berwyn, Pennsylvania 19312, US · East 3rd Ring Road, Unit 01-02, 15F, East Tower No.1, Chaoyang, Beijing 100020, CN
How many Data & Analytics jobs are open in Gdansk, Poland right now?
There are currently 89 open data & analytics positions in Gdansk, Poland listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Gdansk, Poland?
Companies currently hiring include State Street, Atos Information Technology GmbH, Accenture, Capgemini, Thomson Reuters, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Gdansk, Poland?
Yes — 72 of the 89 open data & analytics positions offer remote or hybrid work (6 remote, 66 hybrid).
How do I apply for Data & Analytics jobs in Gdansk, Poland?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.