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Data Analytics Coordinator Jobs (NOW HIRING)

Walmart

Manager, Data Analytics

Bentonville, AR · On-site

Provides data-based analysis and insights to drive investigative analytics strategy by coordinating the development of complete datasets needed to support project-level models; designing statistical ...

Walmart

Manager, Data Analytics

Sunnyvale, CA

Provides data-based analysis and insights to drive investigative analytics strategy by coordinating the development of complete datasets needed to support project-level models; designs statistical or ...

Advantest

Data Analytics Intern

San Jose, CA · On-site

... coordination, workplace inspections, emergency preparedness resources, and onboarding support ... Industrial Engineering, Data Analytics, Business Analytics, Information Systems, Occupational ...

Advantest

Data Analytics Intern

San Jose, CA

... coordination, workplace inspections, emergency preparedness resources, and onboarding support ... Industrial Engineering, Data Analytics, Business Analytics, Information Systems, Occupational ...

Xforia, Inc.

Data Analytics & Technical Analyst"

This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and support of Data & Analytics Dashboards and Data & Analytics projects at HARMAN. You ...

ROCS

Data Program Coordinator

Linthicum Heights, MD · Hybrid

A nationally recognized healthcare association is seeking a Data Program Analyst (Coordinator) to support its growing Data Department. This position combines project coordination, administrative ...

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Data Analytics Coordinator information

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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 Analyst III

4pconsultinginc

Atlanta, GA • On-site

Contractor

Posted 29 days ago

Job description

Position: Data Analytics Analyst III { GC & US Citizen only}

Location: Atlanta, Ga 30308
Duration: 6 Months
Client: Georgia Power
 

Position Overview

We are seeking an experienced Data Analytics Analyst III with strong expertise in data modeling, Power BI, SQL, and Azure-based analytics environments.

This role blends advanced analytics, BI development, and cloud-based data preparation within a modern lakehouse architecture (Databricks / Delta Lake). The ideal candidate can translate business questions into structured analytical datasets and actionable dashboards while coordinating small-to-mid-sized analytics workstreams.

Key Responsibilities

Data Modeling & Architecture

  • Design and implement dimensional and relational data models:
    • Star schema
    • Conceptual, logical, and physical models
    • Enterprise data structures
  • Apply best practices for performance optimization and scalability.

SQL & Data Engineering

  • Develop advanced SQL queries across relational databases:
    • Azure SQL
    • SQL Server
    • PostgreSQL
  • Work within Databricks and Delta Lake notebook environments.
  • Support ETL/ELT processes, data validation, and data performance tuning.

Business Intelligence & Reporting

  • Develop and maintain enterprise dashboards using Power BI.
  • Create semantic models using:
    • DAX
    • Power Query (M)
  • Apply visualization best practices and dashboard UI/UX standards.
  • Translate business requirements into analytical datasets and KPIs.

Data Preparation & Cloud Analytics

  • Work within Azure analytics ecosystems:
    • Azure Data Factory
    • Azure Synapse
    • Microsoft Fabric
  • Utilize Databricks SQL or Spark SQL for advanced analytical queries.

Project & Stakeholder Coordination

  • Coordinate small to mid-sized analytics projects or workstreams.
  • Partner with business stakeholders to clarify requirements.
  • Provide data-driven insights to support strategic decisions.

Required Qualifications

  • 5–10 years of experience in data analytics or BI roles.
  • Strong experience with:
    • Data modeling (dimensional/star schema)
    • SQL and relational databases
    • Power BI (DAX, Power Query, dataset modeling)
  • Hands-on experience with:
    • Databricks
    • Delta Lake
    • Notebook-based development
  • Strong Excel skills:
    • Power Query
    • Power Pivot
    • Advanced formulas
  • Ability to convert business questions into structured analytical outputs.

Preferred Qualifications

  • Experience with:
    • Power Apps
    • Power Automate
  • Exposure to Azure analytics tools (ADF, Synapse, Fabric).
  • Experience with Python or R for data transformation.
  • Knowledge of:
    • Data governance
    • Metadata management
    • Data stewardship
  • Familiarity with Spark SQL or Databricks SQL.

Technical Skills Summary

  • SQL (Azure SQL / SQL Server / PostgreSQL)
  • Power BI (DAX / M / Semantic Modeling)
  • Databricks / Delta Lake
  • Data Modeling (Star Schema / Lakehouse)
  • ETL / ELT Concepts
  • Excel (Advanced)
  • Azure Cloud Analytics
  • Spark SQL (Preferred)

Core Competencies

  • Strong analytical and critical thinking skills
  • Business translation capability (technical ↔ business)
  • Attention to data quality and validation
  • Project coordination and stakeholder management
  • Ability to work in cloud-based, modern data ecosystems