Senior IT Data Analyst

Fidelity Investments • Smithfield, RI

1d • Hybrid

About The Position

The FI Data Solutions team is looking for a highly motivated Senior Data Analyst to work on one of Fidelity’s key strategic programs. This position requires excellent analytical skills, superb communication skills and the ability to work on different projects with diverse scope, complex business and technical requirements in a multi-platform and highly integrated data environment. We are looking for someone experienced in analyzing data throughout its lifecycle, working with development teams and specifying data requirements for the project. The Value You Deliver Affinity for data; where to get it, how to use it, what it means Experience in data analysis role with experience in working with large complex data sets Collaborate with DBAs, architects, and subject area owners to understand the data assets Outstanding conceptual thinking, and problem-solving capabilities including synthesizing findings and developing practical and realistic recommendations Experience writing and translating business requirements to complex SQLs Gather and incorporate feedback from Product Owners, Data Architects, and Data Engineers to aid in the design of the product. Guide Product Owner and Data Engineers in the best approach to assembling large, complex data sets that meet functional / non-functional business requirements. Ensure that Database Design and Modeling standards are in alignment with Industry and Enterprise Modeling best practices Build & maintain knowledgebase of assigned data subject areas, serving as technology data experts for those subject areas Help drive data governance discipline & tool adoption, consistently across all squads within product area Facilitate path to resolution of long-standing Data Quality issues by bringing together critical business and technology stakeholders Strong level SQL experience, used to design new platforms on cloud technologies/architecture including Snowflake, AWS, etc. The Skills that are Key to this role Bachelor’s in information systems, Computer Science or Information Technology with minimum 7 Years Data Analysis Experience Strong communications skills and the ability to collaborate well and influence both business and technology partners at all levels. Strong technical data analysis and design abilities Understanding of different database platforms (e.g. Oracle, MySQL, Hadoop, Snowflake) and their usages (OLTP, ODS, MDM, Warehousing and Data Lakes). Proven track record of solving real world problems using data. How Your Work Impacts the Organization Your work bring value by driving the organization towards a data driven culture. Providing Quality data at the right time with good governance will position business to take right and proactive decisions. Your efforts to provide optimal solutions for data movement and integration across distributed platforms will accelerate business unit goals and enhance client experience.

Requirements

• Affinity for data; where to get it, how to use it, what it means
• Experience in data analysis role with experience in working with large complex data sets
• Outstanding conceptual thinking, and problem-solving capabilities
• Strong level SQL experience, used to design new platforms on cloud technologies/architecture including Snowflake, AWS, etc.
• Bachelor’s in information systems, Computer Science or Information Technology with minimum 7 Years Data Analysis Experience
• Strong communications skills and the ability to collaborate well and influence both business and technology partners at all levels.
• Strong technical data analysis and design abilities
• Understanding of different database platforms (e.g. Oracle, MySQL, Hadoop, Snowflake) and their usages (OLTP, ODS, MDM, Warehousing and Data Lakes).
• Proven track record of solving real world problems using data.

Responsibilities

• Collaborate with DBAs, architects, and subject area owners to understand the data assets
• Synthesizing findings and developing practical and realistic recommendations
• Experience writing and translating business requirements to complex SQLs
• Gather and incorporate feedback from Product Owners, Data Architects, and Data Engineers to aid in the design of the product.
• Guide Product Owner and Data Engineers in the best approach to assembling large, complex data sets that meet functional / non-functional business requirements.
• Ensure that Database Design and Modeling standards are in alignment with Industry and Enterprise Modeling best practices
• Build & maintain knowledgebase of assigned data subject areas, serving as technology data experts for those subject areas
• Help drive data governance discipline & tool adoption, consistently across all squads within product area
• Facilitate path to resolution of long-standing Data Quality issues by bringing together critical business and technology stakeholders

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level