Manager, Advanced Data Analytics and Insights

Fidelity Investments • Smithfield, RI

4d • Hybrid

About The Position

The Role As the Data Analysis and Insights Chapter, we support the Data Domain by blending expertise in business intelligence and advanced analytics with a passion for delivering results. In an agile structure, we partner with partner with squads and business partners to deliver data insights and ensure respective products or services are designed to the optimal standard. We ensure alignment on the 'what' and 'when' work is to be performed through ongoing planning and prioritization of a product backlog. We collaborate as squad members and work iteratively, innovate through testing and experimentation and learn from failures while celebrating success. We are committed to developing our own expertise and knowledge to ensure we bring the latest thinking to our roles. The Manager, Adv Data Analysis and Insights acts as a domain expert who proposes and delivers targeted research and advanced analytics required to support business decision making. This role participates in multiple projects and requires independence, critical thinking, and confidence in applying statistics and analytics techniques. This role also serves as a strong business communicator with leadership, sponsors, and peers, collaborating with them to create key findings for moderately sophisticated business problems. The Manager is an individual contributor and does not directly oversee staff. The Expertise and Skills You Bring Bachelor’s or equivalent Degree with 4+ years of experience working with data insight solutioning. Preferred BS/MS in Engineering, Computer Science, Data Science, or a related field. Basic competence in translating business problem into Analytical/Quantitative/Advanced Analytics Knowledge in Business Statistics, Quantitative methods with ability to deliver outcomes in a fast-paced environment. Experience using statistical tools to interpret data sets, paying particular attention to trends and patterns for diagnostic and predictive analytics Expertise with data workflow tools, solid understanding of data and database concepts, tools, and technologies with ability to optimize and drive scale Proficient with writing and decoding SQL and Python, and working experience with Python libraries Proficient with BI (Business Intelligence) and analytical tools such as Alteryx, Tableau, and Power BI Takes a consultative approach understanding needs of others and regularly communicating ideas or suggestions in terms that lead to actionable outcomes and building lasting partnerships with stakeholders Understanding of Data insight life cycle and experience working with large data sets, preferred Agile experience, preferred Presentation experience, preferred Financial services experience, preferred Note: Fidelity will not provide immigration sponsorship for this position. The Team We collaborate with the Product Areas and Squads aligned to our Data Domain. By demonstrating and promoting Fidelity and agile leadership behaviors, we sustain and evolve our innovative agile culture. Certifications: Category: Data Analytics and Insights 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. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position. 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. 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 experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. 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 please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to [email protected], or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact [email protected] For roles based in Germany: Contact [email protected] Fidelity Privacy Policy

Requirements

• Bachelor’s or equivalent Degree with 4+ years of experience working with data insight solutioning
• Basic competence in translating business problem into Analytical/Quantitative/Advanced Analytics
• Knowledge in Business Statistics, Quantitative methods with ability to deliver outcomes in a fast-paced environment
• Experience using statistical tools to interpret data sets, paying particular attention to trends and patterns for diagnostic and predictive analytics
• Expertise with data workflow tools, solid understanding of data and database concepts, tools, and technologies with ability to optimize and drive scale
• Proficient with writing and decoding SQL and Python, and working experience with Python libraries
• Proficient with BI (Business Intelligence) and analytical tools such as Alteryx, Tableau, and Power BI
• Takes a consultative approach understanding needs of others and regularly communicating ideas or suggestions in terms that lead to actionable outcomes and building lasting partnerships with stakeholders
• Understanding of Data insight life cycle and experience working with large data sets

Nice To Haves

• Preferred BS/MS in Engineering, Computer Science, Data Science, or a related field
• Agile experience, preferred
• Presentation experience, preferred
• Financial services experience, preferred

Responsibilities

• proposes and delivers targeted research and advanced analytics required to support business decision making
• participates in multiple projects
• serves as a strong business communicator with leadership, sponsors, and peers, collaborating with them to create key findings for moderately sophisticated business problems

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level