Job Description:
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.
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Benefits that balance life and work
From our fully paid parent leave to our on-site health and wellness centers, our benefits support the belief that more balance you have, the better you can achieve your goals.
Company overview
Company overview
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 experience.
Reasonable accommodations
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 contact the HR Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 3.
Equal opportunity employer
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop, and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
Applicant screening
At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.