Senior IT Data Analyst

Fidelity Investments • Merrimack, NH

1d • Hybrid

About The Position

Senior IT Data Analyst The Role As a Senior Data Analyst, you will play a key role in co-leading the design and development of data services that support our enterprise analytics platform. You will collaborate across the entire data lifecycle—identifying and defining data requirements, assisting in data model design, and delivering high-value data products to drive enterprise analytics initiatives. Candidates should have a bachelor’s degree with at least five years of experience in data analysis or data engineering, or a master’s degree with a minimum of three years of relevant experience. The Expertise and Skills You Bring You possess strong expertise in capturing business requirements and translating them into effective data solutions. Your ability to define use cases and distill complex concepts makes you an invaluable resource to stakeholders. You excel at creating user stories and assessing the impact of changes to datasets and data models. Leveraging your solid understanding of agile methodologies, you break down complex initiatives into manageable tasks. Experience with Jira or Jira Align is a plus. With advanced proficiency in SQL, you independently analyze and wrangle datasets to uncover actionable insights (Python is a plus). Exposure to AI/ML approaches and their practical application is advantageous. Experience with PowerBI or advanced features of Excel would be a plus. AI/ML knowledge with GitHub Copilot and/ or data modeling with Power Designer or Erwin would be a plus. You communicate sophisticated concepts clearly to both technical and non-technical audiences, consistently making the complex understandable. Your passion for continuous learning drives you to master new skills and stay informed about the latest advancements in data analytics. You demonstrate strong data analysis and profiling skills, with the ability to develop comprehensive validation scenarios. You have experience working with integrated enterprise data in cross-functional teams, skillfully evaluating alternative solutions and recommending optimal approaches. Recognized as a proactive problem solver, you excel at unraveling complex data, business processes, or organizational challenges. You apply best practices in data management and data modeling when designing and building data solutions. Your communication and presentation skills are exceptional, enabling you to build relationships and effectively convey ideas. Familiarity with enterprise data lakes and cloud data platforms, such as Snowflake, is highly desirable. The Team We have an exciting technology opportunity within the Data Analyst Chapter to develop modern data solutions for the Fidelity Associate, Workforce & Security Technology Product Area in Corporate Services. Our team is dedicated to delivering essential IT capabilities data to the technology analytics platform, enabling robust enterprise reporting, metrics, and analytics. Certifications: Category: Information Technology Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position. 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. At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to [email protected], or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact [email protected] For roles based in Germany: Contact [email protected] Fidelity Privacy Policy

Requirements

• bachelor’s degree with at least five years of experience in data analysis or data engineering, or a master’s degree with a minimum of three years of relevant experience
• strong expertise in capturing business requirements and translating them into effective data solutions
• ability to define use cases and distill complex concepts
• excel at creating user stories and assessing the impact of changes to datasets and data models
• solid understanding of agile methodologies
• break down complex initiatives into manageable tasks
• advanced proficiency in SQL
• independently analyze and wrangle datasets to uncover actionable insights
• communicate sophisticated concepts clearly to both technical and non-technical audiences
• passion for continuous learning
• demonstrate strong data analysis and profiling skills, with the ability to develop comprehensive validation scenarios
• experience working with integrated enterprise data in cross-functional teams
• skillfully evaluating alternative solutions and recommending optimal approaches
• proactive problem solver
• excel at unraveling complex data, business processes, or organizational challenges
• apply best practices in data management and data modeling when designing and building data solutions
• exceptional communication and presentation skills
• build relationships and effectively convey ideas

Nice To Haves

• Experience with Jira or Jira Align
• Python
• Exposure to AI/ML approaches and their practical application is advantageous
• Experience with PowerBI or advanced features of Excel
• AI/ML knowledge with GitHub Copilot and/ or data modeling with Power Designer or Erwin
• Familiarity with enterprise data lakes and cloud data platforms, such as Snowflake

Responsibilities

• co-leading the design and development of data services that support our enterprise analytics platform
• collaborating across the entire data lifecycle—identifying and defining data requirements, assisting in data model design, and delivering high-value data products to drive enterprise analytics initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees