Position: Data Analyst
Company description
FE fundinfo operates as an international leader specializing in investment fund data and cutting-edge financial technology solutions.
The organization connects the global investment ecosystem across key markets including the UK, Europe, and the Asia-Pacific region.
It delivers services through Nexus, a single integrated platform designed to unify fund data and digital workflows across institutions.
Its primary mission centers on ensuring the financial sector remains significantly better connected and thoroughly informed.
The company powers data intelligence, asset growth, operational efficiency, and strict regulatory compliance for global market participants.
It employs between 1,001 and 5,000 highly skilled professionals spread across multiple international hubs and regional offices.
The company's Engineering & Data Management department designs, develops, and deploys high-performance software products for financial clients.
Teams operate within agile frameworks, utilizing advanced modern tools and innovative techniques to deliver global solution packages.
The workforce reflects a vast, diverse, and collaborative environment dedicated to driving excellence in financial market infrastructure.
FE fundinfo continues to expand its global footprint while continuously advancing data management practices across the entire fund value chain.
Profile overview
As a Data Analyst at FE fundinfo, you will join a highly dynamic, forward-thinking team responsible for pushing data excellence forward.
This role places you at the center of high-impact data operations that directly influence executive decision-making processes across the organization.
You will actively collaborate with cross-functional international stakeholders to ensure seamless data integrity and delivery standardizations.
The position requires managing distributor support cases end-to-end, taking full ownership from initial triage through to complete technical resolution.
You will ensure all incoming client requests and incident tickets are resolved strictly within defined Service Level Agreements (SLAs).
The role emphasizes a client-first philosophy, delivering precise, highly accurate, and professional communication to external global partners.
You will serve as the primary operational contact for key distributor clients, providing prompt and clear responses to complex queries.
You will proactively partner with financial clients to analyze their evolving data consumption requirements and precise delivery expectations.
Building, optimizing, and maintaining strong, sustainable data pipelines and connections with external distributors is a key expectation.
The position demands providing detailed analytical support to expand data coverage while producing clear, transparent reporting outputs.
You will actively contribute to the proprietary Ecosystem Pipeline by sourcing high-value financial data from verified public sources.
The role requires close collaboration with independent Data Providers to streamline information ingestion and maintain systemic data quality.
You will work within agile engineering frameworks to optimize data workflows and enhance overall platform functionality across Nexus.
Ideal candidates bring a strong analytical mindset, structural problem-solving abilities, and a deep interest in financial technology systems.
The position offers substantial room for professional growth within a rapidly expanding, technology-driven international financial company.
Qualifications
Possess a Bachelor’s degree in Data Analytics, Computer Science, Information Technology, Statistics, Mathematics, or a related quantitative field.
Demonstrate entry-level to early-career experience spanning from 0 to 3 years within data analysis, data management, or financial operations.
Proficiency in core data manipulation and querying technologies, including practical working knowledge of SQL for database management.
Strong hands-on capabilities with programming languages such as Python or R for analytical modeling, data cleaning, and processing.
Solid background in data analysis methodologies, descriptive statistics, data mining techniques, and structured problem-solving approaches.
Familiarity with database architectures, relational database management systems, and modern data pipeline concepts.
Excellent technical writing and oral communication skills to interact professionally with global clients and internal technical teams.
Strong capability to manage customer inquiries, perform issue triage, and resolve technical tickets within strict Service Level Agreements.
Demonstrated ability to analyze raw, complex datasets and convert them into clear, actionable reporting outputs for stakeholders.
Understanding of financial market concepts, investment fund structures, or fund data workflows is considered a strong advantage.
Ability to work effectively within hybrid operational environments, balancing remote productivity with collaborative office presence.
Prior exposure to agile project management methodology, working within global sprint cycles and cross-functional technology squads.
Strong organizational skills with the ability to manage multiple client priorities simultaneously without compromising data accuracy.
High attention to detail with an unyielding commitment to data quality, governance, and systematic compliance practices.
Proficiency using modern enterprise collaboration tools, issue tracking systems, and client management interface software.
Additional info
The role offers a competitive compensation package aligned with industry benchmarks for entry-level data analytics roles in India.
Employees enjoy a modern hybrid working model that combines flexible home-working options with collaborative office days in Chennai.
Comprehensive training and mentorship programs are provided to help early-career professionals quickly adapt to complex financial systems.
The company fosters an inclusive, international culture that celebrates diversity and actively encourages cross-border collaboration.
Access to continuous professional development pathways, including modern technical certifications and data engineering learning modules.
Exposure to enterprise-grade software products and direct working experience with global tier-one investment management institutions.
Clear career progression paths with opportunities to transition into senior data architecture, data science, or product management roles.
Collaborative workspace facilities located in Chennai, Tamil Nadu, equipped with modern infrastructure and employee wellness amenities.
Employee recognition initiatives and performance-driven incentive structures designed to reward operational excellence and innovation.
Structured feedback loops and direct access to senior engineering leadership within a transparent, flat organizational culture.
Engagement with cutting-edge data pipeline technology, automated web scraping tools, and advanced financial analytics engines.
Fast-paced hiring process with candidate feedback provided promptly following application submissions and interview rounds.
Opportunities to participate in global hackathons, innovation challenges, and internal knowledge-sharing technical symposiums.
Comprehensive health, wellness, and life insurance benefits designed to support employee well-being and family security.
Direct contribution to scaling Nexus, one of the financial industry's most relied-upon data intelligence platforms.
Please click here to apply.
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