Data Analyst (Python / SQL)

About The Company
T. Rowe Price is a renowned global asset management organization with over 85 years of experience in delivering exceptional investment solutions. The company specializes in providing a broad spectrum of equity, fixed income, and multi-asset capabilities to individual investors, financial advisors, institutions, and retirement plan sponsors. Committed to active and independent investing, T. Rowe Price emphasizes a client-centric approach that fosters confidence and trust. The firm values doing the right thing for its clients and employees, fostering a collaborative culture that respects diversity and encourages innovation. With a focus on creating meaningful impact both within the organization and in the broader community, T. Rowe Price offers resources and opportunities that support career growth, work-life balance, and community engagement.
About The Role
The Data Analyst, Rapid Insights, at T. Rowe Price will play a pivotal role in supporting the firm's Individual Investors business by enabling faster, data-driven decision-making. Reporting to the Manager of Data Analytics, Insights & Measurement, this position involves working closely with key stakeholders to understand their analytical needs, prioritize tasks, and deliver actionable insights efficiently. The role is characterized by its dynamic environment, requiring the analyst to perform a variety of tasks such as ad hoc analysis, KPI development, root-cause investigations, and dashboard creation. The ideal candidate will excel at translating complex data into clear, concise insights that inform strategic decisions. They will also be responsible for rapid prototyping of analyses and collaborating with analytics engineering teams to develop scalable solutions. This position offers an excellent opportunity for professionals who thrive in fast-paced, ambiguous settings and enjoy direct partnership with business units to drive impactful outcomes.
Qualifications
Bachelor's degree in Data Analytics, Operations Management, Operations Research, Statistics, Computer Science, Information Systems, or a related field.
At least 3 years of relevant work experience in data analysis or related roles.
Proficiency in SQL for data querying and manipulation.
Experience with Python, including familiarity with machine learning packages.
Hands-on experience with visualization tools such as Tableau or Power BI.
Strong analytical thinking, problem-solving skills, and stakeholder management abilities.
Knowledge of applied statistics, data storytelling, and executive communication.
Experience working in high-change environments with the ability to adapt quickly.
Effective documentation and requirements gathering skills.
Preferred qualifications include a Master’s degree in Data Science or Computer Science, experience with Snowflake or JupyterHub, familiarity with simulation software like AnyLogic, and knowledge of optimization techniques.
Responsibilities
Intake and prioritize business questions by capturing requests, clarifying objectives, and defining analytical approaches.
Assess urgency, business impact, and stakeholder needs to determine work priorities.
Maintain continuous stakeholder engagement, communicating assumptions, limitations, and progress transparently.
Utilize SQL, Python, Excel, and statistical methods to perform descriptive, diagnostic, and root-cause analyses.
Analyze data across various domains including client behavior, digital engagement, marketing, sales, operations, and workforce metrics.
Synthesize findings into clear, actionable insights and recommendations for stakeholders.
Create and refine dashboards and visualizations to enhance transparency and support decision-making.
Define, validate, and communicate KPIs and performance metrics effectively.
Apply data storytelling techniques to make complex analyses accessible to diverse audiences.
Identify patterns, trends, anomalies, risks, and opportunities proactively, even before stakeholders request them.
Rapidly prototype reports, analyses, and lightweight solutions to meet immediate needs.
Partner with Analytics Engineering to transition recurring or complex analyses into scalable, durable solutions.
Document analytical requirements, logic, assumptions, and business context for efficient handoffs.
Operate within an Agile framework, reprioritizing tasks as business needs evolve while maintaining quality and transparency.
Leverage AI and Copilot tools to enhance analysis speed and accuracy, ensuring high-quality outputs.
Benefits
Competitive salary package with annual bonus eligibility.
Comprehensive health and wellness benefits, including online therapy services.
Generous retirement plans to support your long-term financial goals.
Flexible hybrid work schedule, allowing up to one day per week remote work.
Paid time off for vacation, illness, medical appointments, and volunteering activities.
Family care resources, including fertility and adoption benefits.
Resources and programs designed to support personal and professional development.
Equal Opportunity
T. Rowe Price is an equal opportunity employer that values diversity and inclusion. We are committed to providing a work environment free from discrimination and harassment, and we welcome applications from individuals of all backgrounds, genders, races, religions, ages, disabilities, sexual orientations, gender identities, and veteran statuses. We believe that embracing diversity fosters innovation and drives success, and we are dedicated to ensuring fair and equitable treatment for all employees and applicants.

Work arrangement
Yes