EY - GDS Consulting - AI And DATA - Data Analyst - Senior

The opportunity

The Data Analyst, Specialist is responsible for leveraging data-driven insights to support strategic business decisions and improve operational efficiency. This role involves structuring complex business requests into well-defined analytical projects, extracting and analyzing large datasets from multiple sources and developing automated reporting solutions to enhance data accessibility and decision-making.

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 ( Tableau, Tableau parameters, dynamic visualizations)
• Deep understanding of experimental design techniques (A/B, MVT, etc.)
• Practices consistent code version control practices ( 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

• Maintains and owns various business products
• Oversees and drives product level resilience
• Intermediate domain expertise
• Builds short and intermediate term roadmap and vision for products
• Independently identifies opportunities using data
• Owns and refines product backlog and prioritize backlog items for sprints
• Influence strategy and next appropriate step within a journey or product lifecycle

Project & Stakeholder Management

• Ability to influence senior stakeholders and manage complex initiatives.
• Manages delivery expectations communicates progress and potential impediments
• Schedule and lead meetings with clients about data project
• Effectively presents in front of team, project stakeholders, and business leaders
• Proactively identifies issues and problem-solves before raising with leader/team
• Contributes to the vision of the stakeholders & team
• Frames business problems and suggests solutions to stakeholders
• Drives projects forward; Proactively identifies issues and problem-solves, driving to resolution
• Effectively presents in front of mid to senior level audiences
• Manages stakeholder priorities
• Proactively manages information flow to Analytics Management and partners

To qualify for the role, you must have

• Minimum 5 years of relevant work experience, with at least 3 years in advanced data analysis, statistical modeling or business intelligence.
• Bachelor’s degree ( in Computer Science, IT, or a Bachelor’s in Statistics/Mathematics.
• Strong proficiency in SQL for querying, data extraction and performance optimization.
• Expertise in Python or R for data manipulation, automation and advanced analytics.
• Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.
• You must be a team player with strong analytical, communication and interpersonal skills
• Constantly update 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

• Timely resolution of data defects.
• Accurate benchmark mappings and QA signoffs.
• Consistent adherence to data governance standards.
• Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.
• Share experience, lessons learned, and opinions with others
• Coaches and supports peers 1:1 on an ad hoc basis
• Exemplifies best practice sharing
• Host office hours & other group educational sessions

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

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