Job Description:
Position Description:
Applicants are permitted to work remotely from an at home work site in the United States
Generates analytical insights to drive business actions using analytical tools and techniques (SQL, Qlik, Tableau, Python, and R) and big data technologies (Snowflake, Hadoop, and Hive). Improves product offerings using varied analytical techniques and myriad data sources - customer attributes and behaviors, transactional history, call transcripts, digital activity, and business financials. Brings a data-driven approach to decision making through experimental design and practical application. Informs business decisions and drives the actions of customer experience and product development teams using analytical insights.
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Primary Responsibilities:
- Supports democratization of data among business partners and creates self-serve data visualization tools that enable business decision making.
- Improves data analytics and insights capabilities and spreads throughout the organization.
- Develops and drives strategic analytical initiatives.
- Formulates and applies statistical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions.
- Proposes improvements on existing data modeling and processing for informed business stakeholder decisions.
- Collaborates with business partners to discuss problem areas with data measurement and quality control, and evaluate and implement corrective actions in data pipeline.
- Cross-functional strategic collaboration with multiple teams to develop standardization process for optimal program evaluation, review, or implementation.
- Ensure data model insights align with driving business objectives, gauge performance, identify areas for improvement, and provide recommendations for better decision making.
Education and Experience:
Bachelor's degree (or foreign education equivalent) in Business Analytics, Project Management, Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing data analytics and insights in a large cross-channel enterprise environment.
Or, alternatively, Master's degree (or foreign education equivalent) in Business Analytics, Project Management, Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field and three (3) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) performing data analytics and insights in a large cross-channel enterprise environment.
Skills and Knowledge:
Candidate must also possess:
- Demonstrated Expertise ("DE") writing advanced SQL in Web-based Cloud storage service environments - Amazon Web Services, SnowFlake, and Microsoft Azure; building data visualizations to answer strategic questions, extract actionable insights, build datasets for ad hoc, and recurring analysis, using Tableau; preparing data to empower end users and evaluating data availability and usability for current marketing metadata, customer, and transaction data, using data sources - marketing campaign metadata, customer profile data, customer interaction data, and transaction data; and enhancing data quality and interpretability using data-flow diagram.
- DE driving the strategy and adoption of analytic products, and providing thought leadership on translating complex business needs into efficient analytical plans in an agile work environment; extracting analytic insights to drive strategy for marketing, experimentation, campaign measurement, customer segmentation, customer acquisition, and engagement domains, using R, Python, Adobe Analytics, Tableau, PowerBI, and Microsoft Excel; and testing business hypothesis to assist decision-making using statistical methods in R or Python.
- DE formulating, validating, testing, and applying Machine Learning (ML) methods to predict customer activities, optimize marketing strategies, and assist management with decision making and policy formulation, using statistical and ML packages (Xgboost, randomForest, Scikit-Learn, and SciPy), and functions in R and Python; performing technical architectural development and implement process flow to enhance customer experience through near real time automation.
- DE crafting data architectural solutions, developing user requirement, mapping data flows and collaborating with enterprise architects and software engineers to deliver platform architectural solutions for multiple use cases and projects.
#PE1M2
Certifications:
Company Overview
Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money.
Join Us
At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees' Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning so you can build the career you've always imagined.
Fidelity's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).
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, detailed in this document, 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.
We invite you to Find Your Fidelity at fidelitycareers.com.
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.
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.