Specialist Investments Data Management (End User)

We are seeking a talented individual to join our Investments team at Mercer, a Marsh Business. This role will be based in Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office

Specialist – Investments Data Managemen

tData Engineering and Automation Analyst (End User

)As part of our Global Data team supporting Investments, the successful candidate will play a key role in supporting the transformation of our data capabilities globally

.We will count on you to

• :Support the development and maintenance of data pipelines and automation solutions across OCIO and Advisory data sets
• .Assist in data procurement, ingestion, preprocessing, validation, and delivery across modern data platforms
• .Work with relational databases and cloud-based data platforms such as Databricks, Snowflake, or equivalent to support data processing and storage
• .Help build and maintain ingestion pipelines from diverse sources including email extracts, portal downloads, SFTP feeds, and other vendor-driven inputs
• .Identify manual, error-prone processes across investment and advisory data workflows and support automation using low-code/no-code platforms and scripting where appropriate
• .Work closely with the lead engineer or functional lead on POCs and pilot initiatives to test tools, automation approaches, and process improvements
• .Partner with investment teams, advisory professionals, data engineers, IT, and external data providers to support practical, business-aligned solutions
• .Support data governance standards, data quality controls, validation checks, and security practices across the data ecosystem
• .Help define and track KPIs to measure efficiency gains, data quality improvements, and adoption of automation initiatives
• .Document processes, mappings, runbooks, and technical notes to support continuity and BAU readiness
• .Communicate progress, risks, dependencies, and outcomes clearly to the lead and other cross-functional stakeholders

.
What you need to hav

• e:Bachelor's degree in Computer Science, Engineering, Information Systems, Finance, Data Science, or a related fiel
• d.3–5 years of experience in data operations, data engineering, data management, or automation role
• s.Good understanding of investment management operations and data, including how data supports portfolio management, reporting, and advisory processe
• s.Experience working with relational databases (e.g., Oracle, SQL Server, PostgreSQL, or similar) and cloud-based data platform
• s.Hands-on experience supporting data ingestion pipelines from non-standard and vendor-driven sources (email files, portals, SFTP
• ).Exposure to low-code/no-code platforms, preferably Microsoft Power Platform (Power Automate, Power Apps, Power BI
• ).Proficiency in Python and SQL for data processing, validation, and automation suppor
• t.Strong understanding of data engineering concepts, ETL/ELT patterns, and data quality framework
• s.Experience in developing data quality checks, recons and validation controls across investments datasets as part of the automation buil
• d.Experience working on POCs or pilot work to test and operationalize new tools or process improvement
• s.Strong stakeholder management and communication skills, with the ability to bridge business and technical team
• s.High attention to detail with a practical, execution-oriented mindse
• t.Ability to manage multiple priorities in a fast-paced, matrixed environmen

t.
What makes you stand

• outStrong understanding of investment data flows and operational pain points within OCIO and Advisory environmen
• ts.Ability to spot inefficiencies and support incremental, automation-led improvements rather than large-scale, disruptive chan
• ge.Strong ownership mindset with a focus on execution and measurable outcom
• es.Comfort working with disparate data sources and complex vendor-driven data fee
• ds.Ability to translate business problems into practical data and automation solutio
• ns.Exposure to improving or streamlining operational processes through automation or workflow simplificati
• on.Interest or exposure to AI-assisted development tools / vibe coding tools such as Cursor, Claude Code, Replit, or similar is a strong pl
• us.Advanced degree (Master's or higher) in Finance, Data Science, Computer Science, Engineering, or a related field is a pl

us.
Why join our t

• eam:We help you be your best through professional development opportunities, interesting work and supportive lead
• ers.We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communit
• ies.Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-be

ing.
Mercer is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 92,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Mercer, visit mercer.com, or follow us on LinkedIn a

nd X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicabl

e law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in