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Linden Atlantic, a leading financial services company in St. Louis, is seeking a Data Analyst to collect, process, and analyze financial data and deliver actionable insights.
This full-time role offers a comprehensive benefits package and a collaborative office environment. You will interpret data, identify trends, and work with teams to ensure data accuracy, while leveraging SQL and Python to enhance reporting and analysis capabilities.
Linden Atlantic, a leading financial services company, is hiring a Data Analyst in St. Louis, MO. This full-time role offers competitive pay and benefits.
As a Data Analyst, you'll collect, process, and analyze financial data. Your tasks include interpreting data, identifying trends, and providing insights. You'll collaborate with teams to ensure data accuracy.
You'll work in a collaborative St. Louis office with financial professionals. The city offers a vibrant culture and high quality of life.
The annual salary for this position ranges from $130,000 to $182,690, providing a competitive compensation package. Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, as well as retirement benefits such as a 401(k) plan with a company match. Additionally, the role offers opportunities for professional development through tuition reimbursement, access to online courses, and workshops, ensuring continuous growth and skill enhancement. The benefits package also includes paid time off, including vacation days, sick leave, and holidays, promoting a healthy work-life balance. The position requires a bachelor's degree and typically involves managing a team of professionals, overseeing project timelines, and ensuring the successful completion of assigned tasks. Employees are expected to use various tools and software, such as project management platforms, communication tools, and data analysis software, to support their work. The workplace is typically an office environment, though some flexibility may be offered for remote work, depending on the company's policies and the specific needs of the role.
You need a Bachelor's degree in Data Analysis, Statistics, or a related field. Strong analytical skills, data visualization tools, and SQL/Python experience are required. Financial data and regulatory reporting knowledge are a plus.