Senior IT Data Analyst
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.
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
- advanced proficiency in SQL
- strong data analysis and profiling skills
- 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
- communication and presentation skills are exceptional
Nice To Haves
- Experience with Jira or Jira Align is a plus.
- 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.
- Familiarity with enterprise data lakes and cloud data platforms, such as Snowflake, is highly desirable.
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
- capturing business requirements and translating them into effective data solutions
- defining use cases and distill complex concepts
- creating user stories and assessing the impact of changes to datasets and data models
- breaking down complex initiatives into manageable tasks
- analyzing and wrangling datasets to uncover actionable insights
- developing comprehensive validation scenarios
- evaluating alternative solutions and recommending optimal approaches
- applying best practices in data management and data modeling when designing and building data solutions
- building relationships and effectively convey ideas
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
