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Data Analytics Associate Jobs in Camden, AR (NOW HIRING)

Senior Associate, Business Intel Analyst Job Code: 39853 Job Location: Camden, AR Job Schedule: 4 ... analytics and data visualization. * Database Management: * SQL: Proficiency in managing and ...

Associate, Manufacturing Engineer Job Code: 41144 Job Location: Camden, AR Job Schedule: 4/10: ... Computer skills sufficient to generate reports and analyze data using MS Excel, MS PowerPoint, and ...

Senior Associate, Quality Engineer

Camden, AR · On-site

$75K - $101K/yr

Senior Associate, Quality Engineer Job Code: 37315 Job Location: Camden, Arkansas Job Schedule: 4 ... Computer skills sufficient to generate reports and analyze data using MS Excel, MS PowerPoint, and ...

Performs analysis on reported nonconformities and discrepancies related to assembly, process ... Creates Acceptance Data Packages - ADP in support of hardware selloff. * Actively participates in ...

Associate, Industrial Engineer

Camden, AR

$59K - $78K/yr

Industrial Engineers are responsible for Labor Performance Analyses, Process and Value Stream ... Data mining & manipulation experience with Excel, VBA, SQL, Power BI

Perform data entry related to admissions records, transcripts, test scores, residency information ... Associate degree from an accredited institution required. * One year of administrative, clerical ...

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Data Analytics Associate information

See Camden, AR salary details

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How much do data analytics associate jobs pay per month?

As of Aug 3, 2026, the average monthly pay for data analytics associate in Camden, AR is $5,334.75, according to ZipRecruiter salary data. Most workers in this role earn between $4,841.67 and $5,691.67 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.
Infographic showing various Data Analytics Associate job openings in Camden, AR as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $64,017 per year, or $30.8 per hour.

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Re-posted 14 days ago


Job description

Job Title: Senior Associate, Business Intel Analyst

Job Code: 39853

Job Location: Camden, AR

Job Schedule: 4/10: Employees work 10 hour days, 4 days a week 

Job Description:

L3Harris Technologies is seeking a Business Intel Analyst to join our newly developed Performance Excellence Program (PEP) in Camden, AR. The candidate will collaborate closely with leadership and shop floor teams to develop critical operational metrics, track and analyze data trends, compile comprehensive reports, build insightful dashboards, and organize biweekly team meetings across the site. Additionally, the Business Intel Analyst will develop business solutions to enhance the visibility of the overall performance and effectiveness of the PEP program to site senior leadership and efficiently track actions to closure.

Essential Functions:

  • Collaborate with shop floor teams to identify key performance indicators (KPIs) and develop metrics that accurately reflect operational performance within the PEP.
  • Collect, track, and analyze data from various sources to identify trends, patterns, and insights that can inform business decisions and improve operational efficiency.
  • Compile detailed reports that summarize operational performance, trends, and insights, and presenting these findings to stakeholders in a clear and concise manner.
  • Build and maintain interactive dashboards that provide real-time visibility into key metrics and performance indicators.
  • Organize and facilitate biweekly team meetings across the site, preparing agendas, documenting meeting minutes, and ensuring follow-up on action items.
  • Efficiently track and manage actions to closure, ensuring accountability and timely completion of tasks.
  • Develop and implement business solutions that enhance visibility into the overall performance and effectiveness of the PEP program for site senior leadership.

 

Qualifications:

  • Bachelor's Degree and a minimum of 2 years of prior related Business Analyst experience. Graduate Degree or equivalent Business Analsyt with 0 to 2 years of prior related experience. In lieu of a degree, minimum of 6 years of prior related Business Analyst experience. 

Preferred Technical Skills: 

  • Data Analysis and Visualization:
    • Excel: Advanced skills, including formulas, pivot tables, and VBA automation.
    • Tableau or Power BI: Experience in creating interactive and shareable dashboards and performing business analytics and data visualization.
  • Database Management:
    • SQL: Proficiency in managing and querying large datasets using SQL Server, MySQL, or PostgreSQL.
  • Business Intelligence:
    • One BI Tool: Experience with at least one comprehensive BI solution such as SAP BusinessObjects, IBM Cognos Analytics, or Oracle BI.
  • Data Warehousing:
    • ETL Tools: Experience with data integration tools like Apache NiFi, Talend, or Informatica.
  • Project Management and Collaboration:
    • JIRA or Trello/Asana: Experience with project tracking and management.
    • Confluence: Proficiency in documentation and collaboration.

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