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Job Description:
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
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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.
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Basic competence in translating business problem into Analytical/Quantitative/Advanced Analytics
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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
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Expertise with data workflow tools, solid understanding of data and database concepts, tools, and technologies with ability to optimize and drive scale
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Proficient with writing and decoding SQL and Python, and working experience with Python libraries
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Proficient with BI (Business Intelligence) and analytical tools such as Alteryx, Tableau, and Power BI
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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
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Understanding of Data insight life cycle and experience working with large data sets, preferred
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Agile experience, preferred
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Presentation experience, preferred
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Financial services experience, preferred
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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.
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.
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About Fidelity

Fidelity
BootstrappedFidelity Land Development specializes in land acquisition, development, management, maintenance and leasing services.
1-50
Employees
Chatham
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.8
Career
2.5
Management
1.5
15%
Recommend to a Friend
Pros
Benefits continuation during leave
Structured career path
Certification support
Cons
Poor management practices
Inadequate communication
Heavy micromanagement
Salary Ranges
40 data points
Mid/L4
Mid/L4 · Business Analyst
1 reports
$106,987
total / year
Base
$93,032
Stock
-
Bonus
-
$106,987
$106,987
Interview Experience
6 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview Process
1
Phone Interview
2
Video Interview
3
Offer
4
Background Check
5
Fingerprinting
6
Drug Test
Common Questions
Customer service scenarios
Financial services knowledge
Behavioral questions
Technical cybersecurity concepts
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