We are seeking a talented individual (Data & AI Specialist) to join our Implementation Services Team at Mercer. This role will be based in Noida. This is a hybrid role that has a requirement of working at least three days a week in the office.
Senior Implementation Services Analyst (Data & AI Specialist)
What can you expect? You’ll work alongside experienced professionals to deliver data-driven AI-enabled solutions across client engagements and support on strategic transformation initiatives while continuing to build your capability through real project experience. One day you might be preparing and analyzing large transactional datasets from multiple source systems; the next, automating data preparation workflows using SQL and Python or developing dashboards that help stakeholders understand operational, financial or risk trends. You’ll be trusted to contribute to real client work from the outset while being supported through coaching, collaboration and structured learning.
Work with complex enterprise datasets, AI-enabled analytics and scalable data automation
Be part of a collaborative team that values diverse perspectives and empowers you to make a difference for our clients and communities.
Enjoy flexible work arrangements, world-class learning opportunities, and the support you need to thrive and grow.
We will count on you for:
Leading analytical workstreams across client engagements from requirements gathering through to delivery and stakeholder presentation
Collaborating with clients, business stakeholders and technical specialists to translate business challenges into scalable data, analytics and AI-enabled solutions
Designing and developing data pipelines, transformation processes and analytical models using SQL, Python and cloud-based technologies
Applying modern AI techniques, including GenAI, machine learning and AI-assisted development tools, to improve solution effectiveness and delivery efficiency
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Performing complex data quality assessments, reconciliations, anomaly detection and root-cause investigations to support reliable and defensible outcomes
Developing impactful dashboards, visualisations and decision-support tools using Power BI and Tableau that enable clients to make informed decisions
Contributing to solution architecture, technical design decisions and delivery approaches across analytics and AI initiatives
Exposure to modern cloud data platforms such as Databricks and experience developing production-grade data-driven applications and AI-enabled solutions would be an advantage
Coaching and mentoring junior team members through technical guidance, quality reviews and day-to-day collaboration
Identifying opportunities to automate, standardise and improve delivery processes through reusable assets, accelerators and AI-enabled approaches
Building trusted relationships with stakeholders and communicating technical concepts, insights and recommendations to both technical and non-technical audiences
You won’t be expected to know everything from day one. You’ll be supported through structured learning, feedback and collaboration.
Note: Applicants should be flexible working in shifts
What you need to have:
5+ years of relevant experience in data analytics, data engineering, AI or related technology disciplines
Advanced Python and SQL skills, including data engineering, automation and analytical solution development
Strong experience designing and building data pipelines, transformation frameworks and scalable analytics solutions
Practical experience leveraging GenAI, machine learning or AI-assisted development tools to improve business outcomes and delivery efficiency
Strong problem-solving capability with the ability to structure ambiguous problems and develop pragmatic solutions
Experience leading small workstreams and coordinating activities across multiple stakeholders
Strong communication and presentation skills, with the ability to explain complex technical concepts to business audience
Demonstrated ability to mentor and support junior team members
A growth mindset, curiosity for emerging technologies and a passion for continuous learning
About the team
Our Data & Analytics Team is a specialized data operations unit focused on migration, ETL solutions, and implementation support for the wealth business. Our team operates within retirement domain (DB and DC), delivering data engineering and process automation solutions that enable seamless business operations.
Core Functions:
Data Migration & ETL: Design and execute complex data migration projects and build robust ETL pipelines to support business requirements
Implementation Support: Deploy and manage implementations through our Implementation Analysts who bridge data engineering and business operations
Retirement Domain Expertise: Deep specialization in wealth management processes and retirement-related data workflows
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 95,000 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 and 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 applicable 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 person.
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