EY - GDS Consulting - AI And DATA - Data Analyst-M4 level- Senior Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

EY GDS – AI&DATA – Senior Manager - Data Analyst

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. 

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

EY Technology:

Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day.  Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients.  Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization.

EY Technology supports our technology needs through three business units:

• Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly.
• Enterprise Workplace Technology (EWT) – EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience.
• Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems.  

The opportunity

The Data Analyst, Senior Specialist is responsible in driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable insights. This role involves extracting, cleaning and analyzing large datasets to identify trends, measure performance and support strategic initiatives.

Support the Investment Data Stewardship function by executing data quality checks, mapping benchmarks, and ensuring accurate distribution of investment data across WS applications and external providers.

Your key responsibilities

•   Data Validation: Perform QA on investment data for reports, fact sheets, and participant tools.
•   Benchmark Mapping: Maintain and update benchmark and peer-average associations for funds.
•   Cross-Functional Alignment: Partner with Investment Solutions, CDAO, GIFS, and technology teams to ensure data quality across platforms (Polaris, EIP, ViFi, Seismic).
•   Issue Resolution: Investigate and remediate data defects in collaboration with application owners.
•   Documentation: Update data dictionaries, QA playbooks, and mapping rules.
•   External Feeds: Validate data sent to Morningstar and other providers for accuracy and compliance.

Skills and attributes for success

Base Skillsets

•   Deep knowledge of investment products, benchmarks, and data structures. (benchmarks, returns, asset allocation).
•   Experience working with custodians like Northern Trust/State Street and sending investment data to aggregators like Morningstar
•   Ability to set up new funds & create investment data for separate accounts in a cloud environment.
•   Strong attention to detail and analytical skills.
•   Strong Data Governance background
•   Strength with data tools (SQL, custom databases) and ability to implement QA automation.
•   Ability to work collaboratively in a fast-paced environment.

Technical Expertise

•   Advanced SQL skills (window functions, adv query optimization, complex joins, etc.) and beg to intermediate python
•   Advanced visualization/story telling (e.g. Tableau, Tableau parameters, dynamic visualizations)
•   Deep understanding of experimental design techniques (A/B, MVT, etc.)
•   Practices consistent code version control practices (i.e. utilizing Bitbucket, GitHub)
•   Intermediate to adv. Python
•   Develops & champions new methods/shared coding components to be leveraged with impacts beyond direct team.
•   Evaluates & advocates for new technologies
•   Proactively identifies opportunities where business problems can be better solved by advanced analytical methods, partners with DS

Product Ownership

•   Influence strategy and next appropriate step within a journey or product lifecycle
•   Develops and drives long term strategic roadmap for the journey or product(s).
•   Independently identifies opportunities using data
•   Connects ecosystem of data elements to serve a program or multiple workstream
•   Advanced domain expertise. Consulted by others across CDAO & Vanguard
•   Particulars and offers suggestions to improve standard of work
•   Maintains and Owns various business products
•   Builds short and intermediate term roadmap amd vision for products, Owns and refines product backlog
•   Independenctly identifies opportunities using data
•   Oversees and drives program and product level reilency

Project & Stakeholder Management

•   Ability to influence senior stakeholders and manage complex initiatives.
•   Frames business problems and effectively communicates complex oncepts and solutions to stakeholders
•   Effectively presents in front of senior stakeholders on complex and/or ambiguous topics
•   Proactively identifies issues and problem solves, integrating them into the long-term roadmap and strategic plan
•   Influences and drives the vision of stakeholders
•   Ensures alignment and clarity of goals with all partners
•   Proactively manages information flow to Analytics Management and partners

To qualify for the role, you must have

•   Minimum 13+ years of relevant work experience, with at least 13+ years in advanced analytics, statistical modeling or business intelligence.
•   Bachelor’s degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor’s in Statistics/Mathematics.
•   Expertise in SQL for data querying, performance optimization, and database management.
•   Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development.
•   Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools.
•   Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.
•   A team player with strong analytical, communication and interpersonal skills
•   Constantly updating yourself about new technologies in the market
•   A winning personality and the ability to become a trusted advisor to the stakeholders

Ideally, you’ll also have

• Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
• Be highly flexible, adaptable, and creative.
• Comfortable interacting with senior executives (within the firm and at the client)

What we look for

Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.

What working at EY offers

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.