Senior Associate, Data Analyst/Data Engineer
State Street is hiring a Senior Associate, Data Analyst/Data Engineer. Level rates it ; you can apply on State Street.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Power BI, Python and Power Query among its tools and skills.
- Level classes it as a junior role.
- State Street has 1,300+ other open roles on Level.
- Posted within the past two weeks.
AI in this role
Designs Power BI dashboards, builds data models, and executes ETL processes to transform data into actionable insights for technology services.
We are currently seeking an entry level data analyst/data engineer to help us collect, transform and extract meaning from data for the Global Technology Services (GTS) Control Tower team at State Street. The position performs a wide range of activities with experts from GTS, business intelligence, business analysis, data engineering, process engineering, governance, and data analysts to collaboratively solve a wide array of complex technical problems.
About the GTS Control Tower team
The GTS Control Tower team is an exciting and growing area of State Street with unique insight into the whole spectrum of our data, metrics, and dashboards at State Street. This name change reflects the work we are actively doing across GTS: integrating dependency management, business analysis, process design, and governance to transform data into action and keep remediation efforts flying smoothly.
The GTS Control Tower Mission
Our core focus is on transforming data into actionable insights. Our goal is to enable GTS Leadership to accelerate progress against key strategic initiatives across GTS and to drive results.
Core Responsibilities
- Report & Dashboard Development: Design, develop, and maintain high quality, accessible interactive Power BI dashboards and reports that clearly communicate key performance indicators (KPIs) and business insights.
- Data Modeling & Transformation: Build and optimize semantic data models, including relationships, calculated columns, and measures using DAX. Perform data extraction, transformation, and loading (ETL) using Python and Power Query (M).
- Data Source Integration: Connect, consolidate, and manage data from multiple sources such as SQL databases, Azure services, Excel, and other enterprise systems into reliable, well structured datasets.
- Performance Optimization: Tune data models and DAX calculations to ensure optimal performance, scalability, and user experience.
- Security & Platform Administration: Implement and maintain row level security (RLS), manage Power BI workspaces and apps, and support capacity and governance best practices within the Power BI Service.
- Stakeholder Collaboration: Partner with business stakeholders to gather requirements, translate business needs into analytical solutions, and deliver actionable, decision ready insights.
- Documentation & Standards: Create and maintain clear documentation for data models, transformation logic, report definitions, and operational procedures to support transparency and long term maintainability.
What We Value
- Willingness to learn and develop new skills, embracing challenges and continuous improvement
- Strong work ethic, focus on achieving goals, and delivering measurable results
- Desire for creative thinking, problem-solving, and proposing new ideas to improve processes or products
- People who thrive in a collaborative team environment
Requirements
- An online portfolio with examples with nonconfidential data that demonstrates your analysis skills
- Some experience with Microsoft Power BI, DAX, Power Query, M, ETL, Python, PySpark, SQL
- A Bachelor's degree in a data analytics, data science, computer science or equivalent experience
Salary Range:
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
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.
Discover more information on jobs at StateStreet.com/careers
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How we rate this
Senior Associate, Data Analyst/Data Engineer at State Street rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $149k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where dax was part of your work. What did you do?
- Tell me about a project where dashboard development was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Modeling, ETL, Dax, Dashboard Development, and Data Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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