Junior Data Analyst – Python & SQL Focus, Mentorship Included

🏢 Raymond James📍 St. Petersburg, FL, United States💼 Full-Time💻 On-site🏭 Financial Services💰 50000-65000 per year

About the Company

Raymond James Financial, Inc. is a leading diversified financial services company providing private client group, capital markets, asset management, and banking services to individuals, corporations, and municipalities. Headquartered in St. Petersburg, Florida, we are committed to building long-term relationships with our clients and fostering a collaborative, supportive environment for our associates. We believe in empowering our employees with the tools and mentorship needed to succeed and grow their careers.

Job Description

Are you passionate about data and eager to launch your career in analytics? Raymond James is seeking a highly motivated and enthusiastic Junior Data Analyst to join our growing team. This is an exceptional entry-level opportunity for individuals with foundational knowledge in Python and SQL who are looking for a structured mentorship program to develop their skills further. You will work closely with experienced data professionals, gaining hands-on experience in data collection, cleaning, analysis, and visualization to support strategic business decisions across various departments. We are committed to providing comprehensive training and development for the right candidate.

Key Responsibilities

  • Assist in collecting, cleaning, and preparing data from various sources for analysis.
  • Perform exploratory data analysis to identify trends, patterns, and insights using Python and SQL.
  • Develop and maintain SQL queries to extract data for reporting and analysis.
  • Create visualizations and dashboards to communicate findings effectively to stakeholders.
  • Collaborate with senior analysts and business teams to understand data requirements and deliver actionable insights.
  • Document data sources, methodologies, and analysis processes.
  • Participate in mentorship sessions and continuous learning opportunities to enhance technical skills and business acumen.

Required Skills

  • Foundational knowledge of Python for data analysis (e.g., Pandas, NumPy).
  • Basic proficiency in SQL for data querying and manipulation.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail and accuracy.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Strong communication and interpersonal skills.
  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline, OR equivalent practical experience/certifications.

Preferred Qualifications

  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Understanding of statistical concepts and their application in data analysis.
  • Previous internship or project experience in data analysis.

Perks & Benefits

  • Comprehensive health, dental, and vision insurance.
  • Paid time off and company holidays.
  • 401(k) retirement plan with company match.
  • Tuition reimbursement and professional development programs.
  • On-site fitness center and wellness programs.
  • Employee assistance program.
  • Mentorship program and career growth opportunities.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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