Position Description:
Develops analytics delivery plans and programming in languages, using SQL, R, and Python. Designs and develops dashboards and reports, using Tableau, Power BI, and Qlik. Develops and implements techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Performs digital analytics using Adobe analytics. Uses and queries big data technologies (Snowflake and Athena). Applies data mining, data modeling, natural language processing, and Machine Learning (ML) to extract and analyze information from large structured and unstructured datasets.
Primary Responsibilities:
Conducts data analyses to derive insights and drive business strategy.
Develops data and hypothesis driven initiatives to optimize and personalize the customer experience, using data, analytics, engineering, data science, marketing, and product development strategies.
Develops and coordinates data and hypothesis driven initiatives.
Works with an Agile inter-disciplinary team across analytics, engineering, data science, marketing, and product development, to optimize and personalize the enterprise experience.
Cleans and manipulates raw data using statistical software.
Enhances system reliability and performance through scalable monitoring and alerting frameworks.
Develops automation tools to streamline operations.
Supports incident response and root cause analysis.
Conducts advanced technical and functional analysis for reliability-focused initiatives.
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, Data Analytics Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Advanced Data Analytics and Insights (or closely related occupation) performing campaign analytics (using Power BI or Tableau), process optimization, and scalable solution design (using Google Cloud Platform (GCP) or Snowflake).
Or, alternatively, Master’s degree in Computer Science, Engineering, Data Analytics Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Advanced Data Analytics and Insights (or closely related occupation) performing campaign analytics (using Power BI or Tableau), process optimization, and scalable solution design (using Google Cloud Platform (GCP) or Snowflake).
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (“DE”) maintaining and analyzing campaign performance datasets from multiple platforms, using Adobe Analytics or Sprout Social to monitor, measure, and optimize multi-channel marketing engagement; and performing campaign tagging, data normalization, and performance benchmarking to optimize marketing effectiveness across digital channels, using Adobe Analytics or Sprout Social.
DE driving end-to-end process mapping initiatives to design process-aligned data models and event log schemas from unstandardized data streams, using Cloud platforms Snowflake or BigQuery (GCP); validating operational assumptions using hypothesis-driven methodologies to uncover process inefficiencies, compliance gap, and automation opportunity; and delivering scalable data solutions by designing anomaly flagging systems and building frameworks that track operational metrics (deviation impacts, conformance checks, and throughput analysis) to support Key Performance Indicators (KPIs), using Tableau or Power BI.
DE architecting interactive reporting solutions using Power BI, Tableau or Spotfire with dynamic user-input parameters to enable retrospective “what-if” scenario evaluations, assess digital adoption trends, and analyze NPS outcomes; enforcing hierarchical row-level security to ensure compliance and data protection, using Enterprise Resource Planning (ERP) system, Customer Relationship Management (CRM) system, and JSON API integrations; and conducting load testing, stress testing, and real-time monitoring of Business Intelligence (BI) dashboards under production-level conditions, using Performance Analyzer, JMeter, and Azure DB.
DE analyzing unstructured text data to uncover key themes and visualize patterns, using Natural Language Processing (NLP) techniques (topic modeling techniques) and Latent Dirichlet Allocation (LDA); developing unsupervised ML models (DBSCAN) to cluster text data into defined categories; and generating word embeddings using transformer models (Bidirectional Encoder Representations from Transformers (BERT)) and their variants to perform semantic similarity.
Salary: $124,800.00 - $141,000.00/year.
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Certifications:Category:Data Analytics and InsightsPlease 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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Data Analytics Engineering, Information Technology, Information Systems, or closely related field (or foreign equivalent).
- Or Master's degree in Computer Science, Engineering, Data Analytics Engineering, Information Technology, Information Systems, or closely related field (or foreign equivalent).
- Three (3) years' experience as a Manager, Advanced Data Analytics and Insights performing campaign analytics, process optimization, and scalable solution design (or one (1) year with Master's).
- Proficiency in SQL, R, and Python for data programming and analysis.
- Experience designing and developing dashboards and reports using Tableau, Power BI, Qlik, or Spotfire.
- Experience maintaining and analyzing campaign performance datasets using Adobe Analytics or Sprout Social, including campaign tagging and data normalization.
- Experience with cloud data platforms and big data querying such as Snowflake, AWS Athena, Google Cloud Platform (GCP), or BigQuery.
- Demonstrated experience architecting scalable data solutions, event log schemas, anomaly detection, and KPI tracking (using Tableau or Power BI).
- Experience applying NLP and machine learning techniques (topic modeling/LDA, clustering DBSCAN, transformer embeddings/BERT) to unstructured text.
- Experience enforcing hierarchical row-level security, integrating ERP/CRM systems and JSON APIs, and performing load/stress testing (Performance Analyzer, JMeter) with Azure DB.
- Experience building automation tools, monitoring and alerting frameworks, incident response, and root cause analysis.
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
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Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
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Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
