# Analytics Engineer, Manager at State Street

State Street is hiring an Analytics Engineer, Manager in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on State Street](https://jobsbylevel.com/go/77d04bde-dbde-4863-af8f-fa5219db7dbf?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. Bangalore, India.

## Details

- Company: [State Street](https://jobsbylevel.com/companies/state-street)
- AI level: AI Level 1 (score 0 out of 100)
- Location: Bangalore, India
- Posted: September 28, 2026
- Apply: https://jobsbylevel.com/go/77d04bde-dbde-4863-af8f-fa5219db7dbf?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=analytics-engineer-manager-at-state-street-d6ea93

## Prepare for this job

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## Description

Role Overview State Street Investment Management is a global leader in asset management, entrusted with more than $6.0 trillion in assets. For more than three decades, investors worldwide have benefited from our disciplined and precise investment process and powerful global platform, which provides access to every major asset class, capitalization range and investment style across both index and active strategies. State Street Investment Management 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 a business unit within the Business Office at State Street Investment Management that supports the organization through reporting and analytics, data infrastructure and quality, sales enablement, and strategy and planning. The MISI team’s vision is to be an indispensable information resource that helps the organization achieve its 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, Officer will serve as a hands-on contributor within the Markets Intelligence & Strategic Insights team in Bangalore. This individual will support the development, enhancement and maintenance of Tableau dashboards, analytical reporting solutions and the underlying data infrastructure that enables informed decision-making across the business. The role will contribute to ETL pipeline development, the integration of disparate datasets, data quality activities and the delivery of scalable analytical products that generate automated insights at scale. Key Responsibilities Contribute to the development and maintenance of analytical products across the full analytics lifecycle, including data preparation, data modelling, dashboard development, reporting and stakeholder delivery Support the design and maintenance of high-quality ETL and lakehouse pipelines across Databricks and Amazon Redshift for the Single Source of Truth (SSOT) project, centralizing and integrating disparate datasets such as Salesforce and CRM, holdings, and finance data into a scalable analytical infrastructure Partner with business and sales teams to understand analytical requirements and develop reporting solutions that support commercial priorities, strategic planning and management decision-making Develop, enhance and maintain dashboards that present business trends, performance drivers and key insights in a clear, accurate and user-friendly manner to support decision-making Perform data quality checks, validate transformation logic and support improvements to the analytical layer, escalating issues as appropriate and collaborating with upstream teams to support timely resolution Document data definitions, assumptions, workflow logic and reporting methodologies to support consistency, transparency and repeatability across analytical outputs Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Engineering or a related field from a recognised institution; equivalent practical experience will also be considered 2 to 5 years of relevant experience in analytics, business intelligence, analytics engineering, data engineering or a related discipline, preferably within financial services or another data-intensive enterprise environment Demonstrated experience contributing to analytical products, including data modelling, data transformation, dashboard development and stakeholder-facing reporting Strong SQL skills and working knowledge of Python; familiarity with Spark, Databricks or similar technologies is beneficial Experience developing Tableau dashboards or comparable business intelligence reporting solutions Strong analytical, problem-solving and communication skills, with the ability to work effectively with both technical and business stakeholders Strong

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