Data Analyst

Sterling Meadows; Jacksonville (FL); On-site; USD 120,000 - 176,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

Vision plans

401(k) with company match

Paid time off

Job summary

Sterling Meadows in Jacksonville, Florida, is seeking a highly skilled Data Analyst to join the team on a full-time basis. You will analyze data to support business decisions, build reports, dashboards, and visualizations, and collaborate with developers and marketers to deliver data-driven insights.

The ideal candidate has a bachelor's degree in a related field and hands-on experience with SQL, Python or R, and tools like Tableau or Power BI.

Qualifications

• Bachelor's degree in data analysis, statistics, or related field.
• Proven experience as a Data Analyst with a strong portfolio.
• Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI.

Responsibilities

• Analyze large datasets to identify trends and insights that drive business decisions.
• Create and maintain data models and dashboards to visualize data and communicate insights to stakeholders.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Develop and implement data quality processes to ensure data accuracy.

Skills

Data analysis

SQL

Python

R

Education

Bachelor's degree in data analysis

Tools

Tableau

Power BI

Job description

Sterling Meadows, a prominent tech company based in Jacksonville, Florida, is currently seeking a highly skilled and experienced Data Analyst to join their team on a full-time basis. The position offers a competitive salary range of $120,000 to $176,487, reflecting the company's commitment to recognizing and rewarding the valuable contributions of its employees. The application deadline for this exciting opportunity is set for November 23, 2026, providing ample time for interested candidates to prepare and submit their applications.

As a Data Analyst, you'll analyze data to support business decisions. You'll create reports, dashboards, and visualizations. You'll also clean, transform, and model data.

You’ll work with the tech team in a creative environment, fostering innovation and problem-solving. The office is located in Jacksonville, FL, a vibrant city known for its rich history and diverse culture. You'll collaborate with developers to bring ideas to life and with marketers to ensure your work reaches the right audience. This dynamic team environment will allow you to grow both professionally and personally, as you contribute to exciting projects and learn from industry experts.

The salary range for this position is between $120,000 and $176,487 per year, providing a competitive compensation package.

• Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans.
• Additionally, the company offers robust retirement plans, such as a 401(k) with matching contributions, to help employees save for their future.
• Paid time off includes vacation days, sick leave, and holidays, ensuring a balanced work-life schedule.
• Other benefits may include wellness programs, flexible work arrangements, and professional development opportunities.

You need a bachelor's degree in data analysis, statistics, or related field. You should have experience with SQL, Python, or R. You should know how to use data visualization tools like Tableau or Power BI.

What you will do:

• Analyze large datasets to identify trends and insights that drive business decisions.
• Create and maintain data models and dashboards to visualize data and communicate insights to stakeholders.
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
• Develop and implement data quality processes to ensure the accuracy and reliability of our data.
• Stay up-to-date with the latest data analytics tools and techniques, and share your knowledge with the team.
• Present findings to senior management and other stakeholders, and provide recommendations based on data analysis.

What we need:

• A bachelor's degree in a related field or equivalent experience.
• Proven experience as a Data Analyst or similar role, with a strong portfolio of work.
• Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI.
• Strong problem-solving skills and the ability to think critically about complex issues.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Attention to detail and a commitment to data quality and accuracy.