Job Description:
Position Description:
Contributes to data ingestion and delivery of high value data products for enterprise analytics initiatives. Programs and improves upon Application Programming Interface (API) solutions from conceptualization to deployment, as a member of a cross-functional team using Agile development lifecycle methodologies. Delivers high value actionable Business Intelligence (BI) reports using PowerBI and troubleshooting workbook performance issues. Implements SQL databases access. Provides data storage via Cloud computing and allows data analysis and simultaneous access of data sets, using Snowflake.
Primary Responsibilities:
Captures business requirements and translates them into data solutions.
Works on test strategy and implementation of key technical solutions in quality engineering to enable development teams to release products into production.
Participates in and contributes to formal reviews of architecture, design, and code.
Navigates integrated enterprise data and works across multifunctional teams.
Applies data management and data modeling practices when building data solutions.
Communicates sophisticated concepts effectively to a variety of audiences, both technical and non-technical.
Validates the impact of changes to datasets and data models.
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Technology Management, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior IT Data Analyst (or closely related occupation) translating complex financial data into actionable business insights in a financial services environment.
Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Technology Management, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior IT Data Analyst (or closely related occupation) translating complex financial data into actionable business insights in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (“DE”) designing and developing data services across the data lifecycle using Power Designer, Collibra, Snowflake, Amazon Web Services (AWS), Teradata, BigQuery, Python, and Oracle.
DE designing and implementing data modeling to map and consolidate information from multiple enterprise databases -- using Power Designer to generate data models, using Collibra to define data glossary terms and lineage, and using Visio to create dataflow and system diagrams.
DE analyzing and profiling large-scale data sets comprising 100 to 150M data features to detect trends and generate statistics and patterns, using SQL across the data lifecycle; designing, implementing and validating data movement; and performing data consumption using visualization tools (Power BI and Tableau).
DE identifying matching platforms and their respective referential matching and entity resolution approaches, using Verato and Reltio.
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Certifications:
Category:
Information TechnologyMost 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.
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.