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Data Analytics Associate Jobs (NOW HIRING)

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data Analytics Associate Everyone wants to make the world a better place. We work to make it happen. By ...

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How much do data analytics associate jobs pay per month?

As of Aug 2, 2026, the average monthly pay for data analytics associate in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace 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 decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
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Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Data Analytics Associate

Baylor College of Medicine

Houston, TX • On-site

$56K - $56K/yr

Full-time

Posted 2 days ago

New

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

67th of 614 rated colleges and universities

Job description

Data Analytics Associate
Division: Pediatrics
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Data Analytics Associate uses data to design, create, and maintain analyses, reports, and research data pipelines in support of research and clinical operations within the Department of Pediatrics, Division of Hematology-Oncology. The position supports investigators and clinical teams at the Texas Children's Cancer and Hematology Center by building research-ready datasets, performing analyses using established analytic methods, and developing reports and visualizations. The associate applies existing AI-enabled analytical tools to improve efficiency and quality. The role fosters data-driven decision-making by providing consultative analytics support, applying established methods rather than developing novel algorithms.
Job Duties
  • Data Pipeline Development and Data Preparation (35% OF TIME)
    • Builds and maintains research-ready datasets from clinical, registry, and operational sources. Develops and maintains databases, data collection systems, and research data pipelines.
    • Supports the integration and preparation of large volumes of data. Applies existing AI-enabled tools such as code assistants and automated extraction to accelerate preparation while maintaining rigor and reproducibility.
  • Statistical Analysis and Reporting (35% OF TIME)
    • Conducts statistical analyses supporting research projects, manuscripts, quality improvement, and clinical operations, and provides ongoing reports.
    • Applies descriptive statistics and standard predictive modeling approaches. Interprets trends and patterns in complex data sets.
  • Data Visualization and Dashboards (15% OF TIME)
    • Develops dashboards, visualizations, tables, and figures that make findings accessible to non-technical audiences.
  • Documentation, Reproducibility, and Collaboration (15% OF TIME)
    • Maintains reproducible, version-controlled code and follows data governance, de-identification, and HIPAA requirements.
    • Prepares documentation including data dictionaries and codebooks. Collaborates with faculty, research staff, and clinical teams to scope requirements.
    • Performs other duties as assigned.
  • Builds and maintains research-ready datasets from clinical, registry, and operational data sources for studies within the Division of Hematology-Oncology.
  • Conducts statistical analyses supporting research projects, manuscripts, quality improvement, and clinical operations.
  • Applies existing AI-enabled analytical tools (e.g., code assistants, automated data extraction, large language models) to accelerate data preparation and analysis while maintaining rigor and reproducibility.
  • Collaborates with faculty, research staff, and clinical teams to define requirements and deliver analyses, reports, and dashboards.
  • Maintains reproducible, version-controlled code and adheres to data governance, de-identification, and HIPAA requirements.

Minimum Qualifications
  • Bachelor's degree.
  • Two years of relevant experience.

Preferred Qualifications
  • Master's degree in data science, biostatistics, epidemiology, computer science, or a related quantitative field.
  • Proficiency in Python and/or R and SQL, demonstrated ability to build research data pipelines and conduct statistical analyses, experience applying predictive models and data visualization, comfort using existing AI-enabled analytical tools, familiarity with clinical, EHR, or registry data, reproducible research practices including version control. Healthcare or research experience preferred.

Work Authorization Requirement:
This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25856

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