Job description

Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role As a Senior Data Analyst, you will be working closely with members of Fidelity’s Technology Risk functions to use data to provide insight into risk. You will participate in all phases of a data analytics project lifecycle – from framing the business question/hypothesis, identifying the appropriate data sources, sourcing the relevant data, performing sophisticated analytics, and reporting on the results. You will answer ad-hoc questions and develop data-centric solutions that will be utilized across the Risk organization. The Expertise and Skills you Bring Bachelor’s or Master’s degree, ideally in data analytics or similarly technical field Strong proficiency in querying, analyzing, and managing data within relational database environments, including SQL Server, Oracle, Snowflake, and DB2 Advanced proficiency and demonstrated expertise with business intelligence and visualization tools such as Alteryx, Tableau, and Excel Demonstrated technical ability of data exploration and visual analytics concepts Outstanding interpersonal/communication skills and ability to summarize and present results to different audiences in a clear and concise manner Exceptional attention to detail, willingness to collaborate, and ability to multi-task and adapt quickly in a fast-paced environment Proven ability to design, develop, and optimize workflows and applications using Microsoft PowerApps and Power Automate to enhance process efficiency Experience in applying AI/Machine Learning techniques to solve business problems preferred Strong analytical skills and exceptional attention to detail Excellent verbal and written communication skills Deep understanding of how to apply data visualization to business problems and present data in a clear, concise manner Proven analytical/problem-solving skills with capability to determine solutions to unusual and complex problems The Team You will be part of the Data Analytics team within ETRA. The team plays a critical support role for the business unit technology risk teams. You will help answer complex business questions and tell a story through the creative use of data analytics and visualization. Technology Risk teams rely on data analytics to assist with daily efforts, automate manual processes, and keep dashboards and tools updated and running smoothly. Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. Certifications: Category: Information Technology Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Requirements

Must-haves

Note: Fidelity will not provide immigration sponsorship for this position.
The Expertise and Skills you Bring Bachelor’s or Master’s degree, ideally in data analytics or similarly technical field
Strong proficiency in querying, analyzing, and managing data within relational database environments, including SQL Server, Oracle, Snowflake, and DB2
Advanced proficiency and demonstrated expertise with business intelligence and visualization tools such as Alteryx, Tableau, and Excel
Demonstrated technical ability of data exploration and visual analytics concepts
Outstanding interpersonal/communication skills and ability to summarize and present results to different audiences in a clear and concise manner
Exceptional attention to detail, willingness to collaborate, and ability to multi-task and adapt quickly in a fast-paced environment
Proven ability to design, develop, and optimize workflows and applications using Microsoft PowerApps and Power Automate to enhance process efficiency
Strong analytical skills and exceptional attention to detail
Excellent verbal and written communication skills
Deep understanding of how to apply data visualization to business problems and present data in a clear, concise manner
Proven analytical/problem-solving skills with capability to determine solutions to unusual and complex problems
Fidelity’s Onsite Working Model

Nice-to-haves

Experience in applying AI/Machine Learning techniques to solve business problems preferred

Application prep

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Keywords to mirror

sqlaimachine learning

Platform: workday
Effort: long

Benefits

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