<h2></h2><h2>Job Description:</h2>The RoleAre you passionate about using your analytical skills to derive insights and drive business strategy and success? Are you intrigued by being able to formulate the full picture by tying together seemingly disparate data points from multiple sources (e.g., customer attributes and behaviors, transactional history, digital activity, business financials) in to one cohesive story? Are you ready to drive experimentation &amp; strategic insights to optimize every aspect of the customer’s experience? If yes, we want you to join our forward-thinking team and make a real-world difference for Fidelity’s 40 million individual investors.The Expertise and Skills You Bring <ul><li>Bachelor’s degree in a quantitative / technical field such as Data or Business Analytics, Economics, Statistics, or Finance. MBA or MS degree a plus</li><li>5+ years of experience generating analytical insights to drive strategic business initiatives related to customer service, distribution analytics and opportunity activation leveraging analytical tools and programming languages such as SQL, Python, R, etc.</li><li>A cross-functional collaborator who can work across a team with diverse skills and abilities and find success for Fidelity and our customers, delivering insights from data to a broad audience in a simple, clear, and actionable way.</li><li>Bringing a data-driven approach to decision making through experimental design and practical application</li><li>Natural intellectual curiosity, initiative, and love for learning new skills and capabilities.</li><li>Experience in designing and developing dashboards &amp; reports of customer-level data using Tableau, Power BI, Qlik etc.</li><li>Experience with digital analytics, Natural Language Processing (NLP) or behavioral data a plus.</li></ul>The TeamWe are looking for analytics professional to be a creative and collaborative team member, helping develop and lead data and hypothesis driven initiatives. As an indispensable member of Advanced Analytics &amp; Customer Insights, youll be embedded in Fidelity’s Brokerage business unit and will work with an agile inter-disciplinary team with a diverse set of skills across analytics, engineering, data science, marketing, product development etc., to optimize and personalize the Fidelity experience.The base salary range for this position is $107,000-216,000 USD per year.  Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   We offer a wide range of <a target="_blank" href="https://jobs.fidelity.com/benefits/">benefits</a> to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.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.Most 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.<h2></h2><h2>Certifications:</h2><h2></h2><h2>Category:</h2><h2></h2>Data Analytics and Insights