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Data Analytics Coordinator Jobs (NOW HIRING)

Bloom Ads

Data Analytics Coordinator

Woodland Hills, CA · On-site

$45K - $60K/yr

Data Analytics Coordinator Job Summary Bloom Ads is looking for an ambitious Data Analytics Coordinator to conduct research and provide actionable insights derived from campaign performance for our ...

Fox

Sourcing & Analytics Coordinator

Los Angeles, CA · On-site

$25.75 - $33.17/hr

The Sourcing & Analytics Coordinator is responsible for assisting with sourcing and analyzing ... The role focuses on procurement, data analysis, vendor relationship, contract fulfillment, and ...

TECO

Data Analytics Architect

Tampa, FL

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... Coordinator), database-level security (with DBAs), and data masking, anonymization, and ...

TECO

Data Analytics Architect

Tampa, FL · On-site

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... Coordinator), database-level security (with DBAs), and data masking, anonymization, and ...

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Data Analytics Coordinator information

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$41

How much do data analytics coordinator jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data analytics coordinator in the United States is $26.73, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $30.77 per hour, depending on experience, location, and employer.

What does a data analytics coordinator do?

A data analytics coordinator manages and analyzes data to support business decision-making. They collect, interpret, and visualize data using tools like Excel, SQL, or Tableau, and often collaborate with teams to improve processes and strategies. Strong analytical skills and attention to detail are essential for this role.

Is 40 too late for data science?

Data Analytics Coordinators and other data science roles do not have strict age limits; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and practical experience are key factors for entering the field at any age.

What is the difference between Data Analytics Coordinator vs Data Analyst?

AspectData Analytics CoordinatorData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Data AnalystBachelor's or master's in data science, statistics, or related; similar certifications often preferred
Work EnvironmentCollaborates with teams, manages data projects, supports data collection and reportingAnalyzes data, develops reports, interprets data trends for decision-making
Employer & Industry UsageUsed across industries like healthcare, finance, marketing; often in roles supporting data teamsCommon in tech, finance, healthcare; focused on data analysis and insights generation

While both roles require similar educational backgrounds and certifications, Data Analytics Coordinators typically focus on managing data projects and supporting teams, whereas Data Analysts primarily analyze data and generate insights. The roles often overlap, but the Coordinator role emphasizes project support and coordination within data teams.

Is data analytics a high paying job?

Data analytics coordinators typically earn competitive salaries that vary by industry, experience, and location. The role often requires skills in data visualization, statistical analysis, and tools like Excel or SQL, which can contribute to higher earning potential compared to entry-level positions.

How does a Data Analytics Coordinator typically collaborate with cross-functional teams within an organization?

A Data Analytics Coordinator frequently works with various departments such as marketing, finance, and operations to understand their data needs and translate business questions into analytical projects. This role often facilitates communication between technical data analysts and non-technical stakeholders, ensuring that insights are actionable and aligned with business objectives. Effective collaboration involves attending regular meetings, managing project timelines, and providing data-driven recommendations to support decision-making across the organization.

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

To thrive as a Data Analytics Coordinator, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), database management systems (like SQL), and possibly certifications in analytics or business intelligence are typically important. Excellent communication, organizational abilities, and attention to detail help you translate complex data into actionable insights and coordinate with various teams. These skills are crucial for ensuring that accurate data drives strategic decisions and supports organizational goals.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic recommendations, and understanding context, which currently require human judgment and domain expertise. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving field.
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Data Analytics Coordinator jobs near you
Infographic showing various Data Analytics Coordinator job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $55,607 per year, or $26.7 per hour.
Data Analytics Coordinator

Data Analytics Coordinator

Louisiana Primary Care Association

Baton Rouge, LA • On-site

Full-time

Posted 6 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.