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Markets Intelligence Data Science/Engineering, AVP

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Job Description

Location: Bangalore

Title: Analytics Engineer, AVP

Role Overview

State Street Investment Management (SSIM) is a global leader in asset management, entrusted with more than $5.5 trillion in assets. For more than three decades, investors worldwide have benefited from our disciplined, precise investment process and powerful global platform offering access to every major asset class, capitalization range and style across the indexing and active spectrums. SSIM is the investment management arm of State Street Corporation, one of the world's leading providers of financial services to institutions.

Markets Intelligence & Strategic Insights (MISI) is the business unit within the Business Office at State Street Investment Management that supports the organization in reporting & analytics, data infrastructure/quality, sales enablement as well as Strategy and Planning. The vision of the MISI team is to be an indispensable information resource for SSIM to help achieve desired goals and objectives. Our mission is to use information to provide a reliable foundation for decision-making, strategy development, opportunity realization and targeted business improvements.

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 pipelines to support the Single Source of Truth (SSOT) project by centralizing and integrating disparate datasets into a scalable analytical infrastructure
  • Collaborating with Strategy 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

Required Qualifications

  • A BS/MS in Computer Science, Data Science, Mathematics, Engineering, or related field (or related experience)
  • 8+ years of relevant experience in analytics, analytics engineering, business intelligence, or data engineering roles, with at least 3-5 years building analytics solutions in a complex, enterprise data environment
  • Demonstrated experience owning endtoend analytical products (data modeling, transformations, dashboards, and stakeholder delivery)
  • Experience operating at a senior individual contributor level, influencing analytical approach, standards, and design across projects
  • Experience building and maintaining ETL pipelines in platforms such as Databricks
  • Strong proficiency in Python, SQL, and Spark, with a solid understanding of data modelling best practices
  • Strong collaboration skills, a question-first mindset, and comfort interacting with a range of stakeholders
  • Highly organized, with the ability to thrive in fast-moving and evolving environments

Preferred Qualifications:

  • Additional experience in developing, automating, and scaling Tableau dashboards
  • Experience working with Databricks, Apache Spark or similar technologies
  • Familiarity with, and interest in, financials markets and market data
  • Prior experience supporting and working on analytics teams within financial services or capital markets environments

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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About Company

At State Street, we partner with institutional investors all over the world to provide comprehensive financial services, including investment management, investment research and trading, and investment servicing.
Whether you are an asset manager, asset owner, alternative asset manager, insurance company, pension fund or official institution, you can rely on us to be focused on your challenges. We are committed to doing what it takes to help you perform better &#8212&#x3B; now and in the future.

Job ID: 142273727

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