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Data Analytics Supervisor Jobs in Washington (NOW HIRING)

LSU AgCenter

Data Analyst

Alexandria, VA

Data Analyst SUPERVISOR: Director, Office of Institutional Research & Effectiveness PURPOSE: Responsible for supporting official university reporting. This includes understanding and analyzing ...

Red Gate Group

Data Analyst

Washington, DC · On-site

This position leverages statistical tools, data visualization techniques, and process analytics to ... The supervisor sets the overall objectives and resources available. The employee plans and carries ...

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Data Analytics Supervisor information

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

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What does a data analytics supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

What are the key skills and qualifications needed to thrive as a data analytics supervisor?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a data analytics supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.
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Data Analytics Supervisor jobs near you

Data Analyst

Louisiana Workforce Commission

Alexandria, VA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Job description

About Us:

Louisiana State University of Alexandria is a publicly supported institution that provides undergraduate level college education to the citizens of Central Louisiana. The university is a unit of the LSU System and operates under the auspices of the Louisiana Board of Regents. LSUA is located in Rapides Parish.

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Data AnalystPosition Type:Professional / UnclassifiedDepartment:LSUA ASA - Institutional Research and Effectiveness (Rocaille Von Roberts (00252662))Work Location:LSU - AlexandriaPay Grade:ProfessionalJob Description:

DEPARTMENT: Office of Institutional Research & Effectiveness

POSITION TITLE: Data Analyst

SUPERVISOR: Director, Office of Institutional Research & Effectiveness

PURPOSE: Responsible for supporting official university reporting. This includes

understanding and analyzing university data to produce required reports as well as providing data, trends and analyses to university stakeholders.

RESPONSIBILITIES:

  • Provide accurate data and reports to university departments as needed to enhance student success and operational efficiency across academic, student support and administrative areas.
  • Write programming scripts to enhance functionality and/or performance of university applications as necessary.
  • Work collaboratively with IET Services and other university offices to facilitate strong data governance and ensure the integrity of data in the university's data systems.
  • Develop and maintain technical documentation (e.g. data definitions, code documentation, standard operating procedures, etc) for data, reports and projects.
  • Coordinate the completion of required state and federal data reports, including but not limited to submissions to the Louisiana Board of Regents, National Student Clearinghouse, and IPEDS.
  • Respond to internal and external ad hoc requests for university data.
  • Support data needs for ongoing assessment, program review, strategic planning, accreditation and related activities.
  • Research, analyze, and interpret university data and trends to support data-driven decision-making across university stakeholders.
  • Develop dashboards and other online data tools to enhance data accessibility across university stakeholders.

QUALIFICATIONS:

  • Bachelor's degree in Computer Science, Decision Science/Analytics, Business Administration, Applied Statistics, or a related field, or a minimum of five (5) years of experience in a database or systems analyst related field, preferably in higher education. Candidates with 3-5 years of experience in Institutional Research in higher education are strongly encouraged to apply.
  • Excellent understanding of coding methods and best practices.
  • Extensive experience in data analysis using tools such as R, SPSS, SAS, Tableau, PowerBI, and/or other similar data tools is required.
  • Extensive knowledge and experience in programming and scripting languages such as: Microsoft SQL, Python, and/or other similar languages is required.
  • Ability to design, develop, and manage relational database systems.
  • Knowledge and experience with ERP, SIS, and CRM system programming and reporting preferred.
  • Knowledge of applicable data privacy practices and laws.
  • Strong written, oral, and interpersonal communication skills.
  • Highly self-motivated and directed.
  • Extreme attention to detail is required.
  • Proven analytical and problem-solving abilities.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.

OFFICE HOURS: Eight (8) hours per day, Monday-Friday, 40 hours per week. Additional hours worked as needed.

Additional Job Description:Competencies:NoneSpecial Instructions:Application Instructions:
Please attach a Resume/CV, a cover letter, 3 references and unofficial transcripts. Official transcripts will be required upon hire.
Please attach all transcripts to your application. A background check is required for hire.
Questions or concerns about your application should be directed to LSUA Human Resources at (318) 473-6401 or hr@lsua.edu.

Skills Needed:

Communication, Customer-Focused, Data Accuracy, Detail-Oriented, IT Quality Assurance, Policy Knowledge, Time Management, Troubleshooting

Preferred Skills:

Posting Date:July 17, 2026Closing Date (Open Until Filled if No Date Specified):Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSUA offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSUA is an Equal Opportunity Employer.HCM Contact Information:

Questions or concerns can be directed to the LSU Human Resources Management Office at 318-473-6401 or emailed hr@lsua.edu

Louisiana Workforce Commission logo

About Louisiana Workforce Commission

Sourced by ZipRecruiter

The Louisiana Workforce Commission’s vision is to make Louisiana the best place in the country to get a job or grow a business, and our goal is to be the country's best workforce agency. Our mission is simple and straightforward – we put people to work. Today, the LWC is ideally positioned and structured to support and serve Louisiana’s employers, job seekers and workforce partners.

Industry

Public administration

Company size

11 - 50 Employees

Headquarters location

Baton Rouge, LA, US

Year founded

2008

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