Position Description:
Develops core digital analytics capabilities and enhances the usage of digital data across the organization. Enhances the digital analytics and digital Voice of Customer capabilities across all platforms. Identifies lagging business processes and develops improvements for these processes. Provides technical guidance and expertise to business partners to increase their understanding and utilization of platform capabilities and technologies. Designs and builds web and mobile based architectures to implement privacy and content modules. Conducts code reviews and evaluates code branching and delivery strategies. Enhances and customizes tools for marketing, tag management, quantitative data generation, qualitative data capture and VoC functions. Develops custom dashboards and identifies friction points. Provides guidance to stakeholders post-implementation to ensure solutions are fully utilized.
Primary Responsibilities:
- Uses custom tools to implement marketing technology tags supporting qualitative and quantitative data analytics for web and mobile platforms.
- Works closely with developers, engineers, and data analysts to identify business and system requirements, maintain data bases, implement quality control measures, and execute automation initiatives.
- Develops tag specification documents and tag implementation strategies based on business requirement in consultation with internal stakeholders.
- Collaborates with data analysts to maintain clean data in enterprise data lake tools like Snowflake.
- Provides assistance to quality assurance team and conducts quality checks on code.
- Reports on key metrics, analyzes and interprets trends, and provides actionable insights based on available analytics data.
- Collaborates with site developers to modify the data layer to improve analytics.
- Performs debugging using debugging tool Charles Proxy.
- Provides technical training and coaching to junior team members.
- Works with the team to foster innovation and learning initiatives.
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) analyzing large scale datasets (containing 150M+ records) and providing actionable insights to improve digital marketing strategies using tag management systems and data visualization tools in a financial services environment.
Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) analyzing large scale datasets (containing 150M+ records) and providing actionable insights to improve digital marketing strategies using tag management systems and data visualization tools in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
- Demonstrated Expertise (“DE”) setting-up, tracking, and collecting user feedback, and interpreting digital marketing campaigns, website traffic and user behavior utilizing platforms including Ensighten, Google Tag Manager, Adobe Dynamic Tag Manager, Adobe Launch, and Qualtrics.
- DE analyzing large scale datasets (containing 150M+ records) and performing segmentation and analysis, including A/B testing, funnel analysis, cohort analysis, and attribution modeling, to derive insights using Adobe Target, Adobe Sitecatalyst, Contentsquare, and Tableau.
- DE analyzing datasets and providing actionable insights to improve digital marketing strategies using both tag management systems including Ensighten or Google Tag Manager, and data visualization tools including Adobe Sitecatalyst, Tableau, and Qlik Sense; and tracking implementation, troubleshooting, and manipulating data using HTML, CSS, JavaScript, JQuery, Python, and R.
- DE querying, merging, and analyzing transactional data to create actionable schema structures for analyzing and identifying prescriptive analytical insights using SQL in Hadoop or Snowflake.
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Certifications:Category:Information TechnologyPlease 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, IT, Information Systems or related plus five years experience OR Master's degree plus three years experience
- Experience analyzing large-scale datasets (150M+ records) including segmentation, A/B testing, funnel/cohort analysis, and attribution modeling
- Demonstrated expertise with tag management platforms: Ensighten, Google Tag Manager, Adobe Dynamic Tag Manager, Adobe Launch
- Demonstrated expertise with digital/analytics platforms: Adobe Target, Adobe Sitecatalyst, Contentsquare, Qualtrics
- Experience building reports and visualizations using Tableau and Qlik Sense
- Proficient in HTML, CSS, JavaScript, jQuery, Python, and R for tracking, troubleshooting, and data manipulation
- Proficient in querying and merging transactional data using SQL in Hadoop or Snowflake
- Experience using debugging tools such as Charles Proxy and performing QA/code reviews
- Experience implementing privacy and content modules for web and mobile analytics
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.
