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$57.9K

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How much do analytics coordinator jobs pay per year?

As of May 29, 2026, the average yearly pay for analytics coordinator in the United States is $57,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Analytics Coordinator, and why are they important?

To thrive as an Analytics Coordinator, you need strong analytical abilities, attention to detail, and a background in statistics or a related field, often supported by a bachelor's degree. Proficiency with data visualization tools (like Tableau or Power BI), spreadsheet software, and analytics platforms such as Google Analytics is typically required. Excellent communication, problem-solving skills, and the ability to collaborate with cross-functional teams help you stand out. These skills and qualities are vital for transforming complex data into actionable insights that support business decision-making.

How does an Analytics Coordinator typically collaborate with other departments within an organization?

Analytics Coordinators regularly work with multiple teams such as marketing, sales, finance, and product development to gather data requirements, deliver actionable insights, and ensure alignment on key performance indicators. They often translate complex data findings into understandable reports or presentations tailored to non-technical stakeholders. Successful collaboration requires strong communication skills, adaptability, and a proactive approach to understanding each department’s unique data needs.

What does an Analytics Coordinator do?

An Analytics Coordinator is responsible for collecting, organizing, and analyzing data to help organizations make informed business decisions. They often work with various departments to understand their data needs, create reports, and present insights using tools like Excel, Tableau, or Google Analytics. Their role may also include tracking key performance indicators (KPIs), maintaining databases, and ensuring data quality. By translating complex data into actionable recommendations, Analytics Coordinators play a crucial role in driving business strategy and performance.
More about Analytics Coordinator jobs
What cities are hiring for Analytics Coordinator jobs? Cities with the most Analytics Coordinator job openings:
What are the most commonly searched types of Analytics jobs? The most popular types of Analytics jobs are:
What states have the most Analytics Coordinator jobs? States with the most job openings for Analytics Coordinator jobs include:
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Analytics Coordinator jobs near you
Infographic showing various Analytics Coordinator job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $57,869 per year, or $27.8 per hour.
Data Analytics Coordinator

Data Analytics Coordinator

Louisiana Primary Care Association

Baton Rouge, LA • On-site

Full-time

Posted 29 days ago

Job description

Position Title: Data Analytics Coordinator
Fulltime Exempt
Supervisor: Analytics and Research Manager | Healthcare Technology and Optimization Manager | HCCN Project Manager
Position Summary: The Data Analytics Coordinator at the Louisiana Primary Care Association (LPCA) is responsible for supporting comprehensive data analytics initiatives and research activities across LPCA's network of Federally Qualified Health Centers (FQHCs). This role leverages analytical tools and methodologies to extract meaningful insights from healthcare data, supporting evidence-based decision-making and quality improvement efforts. The Data Analytics Coordinator collaborates with cross-functional teams to ensure completeness and accuracy of reports for process improvement, research initiatives, and grant compliance, while supporting LPCA's mission to promote accessible, affordable, quality healthcare services for underserved populations.
Responsibilities:
  • Collaborate with cross-functional teams to identify research objectives and key performance indicators (KPIs),
  • Develop reports and organize data visuals to communicate findings to stakeholders,
  • Assist in designing and executing research studies, including surveys, experiments, and observational studies,
  • Stay up-to-date with industry trends and best practices in analytics and research methodology,
  • Support the development and implementation of data-driven strategies to drive business growth and optimize performance,
  • Perform ad-hoc analysis and provide actionable recommendations to stakeholders,
  • Compile data and ensure validity from multiple assessments to develop profiles for each grant,
  • Create surveys and coordinate administration of surveys,
  • Query and translate data visually into tables, charts, graphs, and narrative presentations to produce user-friendly reports,
  • Support compliance efforts company grants to protect the confidentiality and accuracy of data,
  • Analyze, synthesize, and interpret reports for use in decision-making.

Requirements:
  •  Bachelor's degree. Minimum of 1-2 years of relevant experience in data analysis, research, project coordination, or administrative support, preferably in healthcare or government settings
  • Experience with data collection methodologies and report preparation
  • Understanding of one or more data analysis tools and programming languages such as Python, R, SQL, etc.
  • Proficiency with Microsoft Office Suite, particularly Excel for data manipulation and analysis
  • Experience with data aggregation and data visualization tools like Excel and Smartsheet
  • Familiarity with population health tools like i2i and Azara (preferred)
  • Knowledge of report writing and data presentation techniques
  • Detail-oriented with a strong commitment to accuracy and quality,
  • Ability to work independently and collaboratively in a fast-paced environment,
  • Communicate effectively, verbally, and in writing.