Co-Op, Data Analyst
245 Summer St, Boston MA, United States
Job Description:
The Role
Are you a current undergraduate or graduate student looking for a 6 month co-op opportunity to work across diverse data sources (e.g., customer attributes, transactional history, digital activity, phone call recordings, research surveys, etc.) to uncover key patterns to drive strategic decisions? Are you ready to translate data into insights that drive business decisions? If yes, come join a world-class analytics and research team and work in agile way to help teams create the best customer experiences in the Financial Services industry.
THE EXPERTISE WE’RE LOOKING FOR
Coursework in a quantitative / technical field such as engineering, economics, statistics, computer science, operations research, data science or analytics.
Exposure and working ability with to some programming / database querying tools (R, Python, SQL, etc…) and data visualization tools (Tableau, PowerBI)
Familiarity with the tools, methods and techniques to wrangle and use structured and unstructured data
Passion for knowledge, continuous learning and tackling multi-disciplinary projects through participation in hackathons, Kaggle competition, and similar efforts.
THE PURPOSE OF YOUR ROLE
During your co-op you will employ your developing analytical skills on an agile inter-disciplinary team in the Personal Investing business at Fidelity. You will learn to analyze customer behavior at every touch point (web, mobile, IoT, phone, branch, etc), tied to customer attributes/preferences and customer outcomes.
THE SKILLS YOU BRING
You bring structured thinking, a data-driven approach, and a collaborative spirit to learn from peers and effectively engage business partners
You are able to independently conduct analytics (with coaching and mentoring) that generates the actionable insights needed to understand Fidelity customers
You bring passion to your work and operate with a sense of purpose and professionalism
You are intellectually curious, take initiative, and want to continue to proactively learn new skills
THE VALUE YOU DELIVER
You help inform customer experience and product development teams with data-driven insights to enable objective, informed decision
You deliver learning agendas that tackle the critical business questions to support business decisions and actions with pace
You are constantly finding opportunities to provide more insightful analysis through improving your skills and data analytics and insights capabilities
HOW YOUR WORK IMPACTS THE ORGANIZATION
The Advanced Data analytics and Insights team is an analytics and research group with a mission to proactively anticipate and predict our clients’ needs and future behaviors using Data and Analytics so we can deliver a more valuable client experience and generate stronger lasting relationships.
By being a part of the Analytics & Insights Chapter you and your work are playing a meaningful role in powering Fidelity’s future.
CKSI (Customer Knowledge & Strategic Insights Group) is an analytics and research group with a mission to proactively anticipate and predict our clients’ needs and future behaviors using Data, Analytics, Customer Research , so we can deliver a more valuable client experience and generate stronger lasting relationships.
By being a part of the Analytics & Insights Chapter in CKSI you and your work are playing a meaningful role in powering Fidelity’s future.
Certifications:
Category:
AdministrationFidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science CX Data Analytics Data visualization Economics Engineering Power BI Python R Research SQL Statistics Tableau Unstructured data
Perks/benefits: Career development
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