Metrics and Data Specialist, Officer

Overview

On Site
Full Time

Skills

Analytical Skill
Data Visualization
Standard Operating Procedure
Decision-making
Global Delivery
Business Process
Workflow
Operational Efficiency
Scalability
Innovation
Emerging Technologies
Prompt Engineering
Management
Dashboard
Collaboration
Statistics
Machine Learning (ML)
Data Quality
Regulatory Compliance
Microsoft
Microsoft Excel
Mathematics
Multitasking
Quantitative Analysis
Generative Artificial Intelligence (AI)
Data Science
Python
R
Data Analysis
Business Intelligence
Microsoft Power BI
Tableau
Data Modeling
Extract
Transform
Load
SQL
Conflict Resolution
Problem Solving
Attention To Detail
Communication
Stakeholder Management
Predictive Modelling
Natural Language Processing
Time Series
Forecasting
Data Governance
Agile
Project Management
Banking
Product Innovation
Financial Services
Value Engineering
Investments
Analytics
Research
Trading
Investment Management
Expect
Insurance

Job Details

Who we are looking for
We are seeking a highly analytical and technically skilled Officer to lead and support data-driven initiatives across the organization. The ideal candidate will have a strong foundation in Python programming, business intelligence tools, data visualization, and applied data science. This role will be instrumental in transforming Standard Operating Procedures into actionable insights that drive strategic decision-making and operational efficiency .

Why this role is important to us
This role is critical to Global Delivery Simplification as it leads the re-engineering of business processes using generative AI solutions. By transforming legacy workflows into intelligent, automated systems, the role directly supports operational efficiency, scalability, and innovation. It ensures that our delivery model evolves in step with emerging technologies and client expectations. Join us if making your mark in the financial services industry from day one is a challenge you are up for.

What you will be responsible for
  • Design, develop, and maintain scalable data pipelines and analytics solutions using Python and SQL.
  • Experience with LLMs, Prompt Engineering and Natural Language Processing tools.
  • Build and manage dashboards and reports using BI tools (e.g., Power BI, Tableau).
  • Collaborate with cross-functional teams to identify business needs and translate them into data science projects.
  • Apply statistical analysis and machine learning techniques to solve complex business problems.
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
  • Ensure data quality, governance, and compliance with internal and external standards.
  • Continuously evaluate and implement new tools and technologies to improve data capabilities.

What we value
These skills will help you succeed in this role
Demonstrated ability to meet deadlines and possess strong problem-solving and resolution skills.
  • Good understanding of financial services and investment products.
  • Strong computer competence (Microsoft applications {Excel, Word etc.}, aptitude for math, interpersonal skills, oral communication skills, multitasking capability, ability to work under pressure/deadlines driven environment.
  • Quantitative analysis and Problem Solving Skills
  • Driven for self-learning and keeping abreast of advancements in traditional and Generative AI,

Education & Preferred Qualifications
  • 3+ years of experience in data analytics, business intelligence, or data science roles.
  • Proficiency in Python, R for data analysis
  • Strong experience with BI platforms such as Power BI, Tableau, or similar.
  • Solid understanding of data modeling, ETL processes, and SQL.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and stakeholder management skills.
  • Experience with predictive modeling, NLP, or time-series forecasting.
  • Familiarity with data governance frameworks and security best practices.
  • Knowledge of Agile methodologies and project management tools

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.