Data Analytics Specialist (Lowell, AR)

Central Research•Lowell, AR

2d•Onsite

About The Position

Central Research, Inc. (CRI) is seeking a motivated and detail-oriented Data Analytics Specialist to support operational modeling, workforce planning, forecasting, and business intelligence initiatives across multiple business units. This position will work closely with operations leadership, finance, recruiting, and executive management to develop data-driven insights that improve staffing models, operational efficiency, and strategic decision-making. The ideal candidate is a junior to mid-level analytics professional with strong Excel and data visualization skills, an analytical mindset, and the ability to translate complex data into actionable business recommendations. This position is full time, on-site at our corporate headquarters in Lowell, AR.

Requirements

Bachelor’s degree in Data Analytics, Statistics, Business Analytics, Mathematics, Economics, Information Systems, or related field; equivalent experience may be considered.
Possess the ability to obtain and maintain a Public Trust security clearance (Federal 6C).
Must NOT be in default on any Federal Student Loans or defaulted loans that are guaranteed by the federal government (typically 270 days past due).
Must be a US Citizen
Felonies or misdemeanors within the last 7 years could cause an issue in obtaining a security clearance.
Applicants who have monies in non-medical Collections exceeding $7,500 could also cause an issue in obtaining the required security clearance.
1–5 years of experience in data analytics, workforce planning, business intelligence, financial modeling, or related analytical role.
Advanced Microsoft Excel skills including pivot tables, lookup functions, Power Query, and modeling techniques.
Experience with Power BI, Tableau, or similar visualization/reporting tools.
Strong analytical and problem-solving abilities.
Ability to organize and interpret large datasets.
Strong written and verbal communication skills.
Ability to present data findings clearly to both technical and non-technical audiences.
High attention to detail and strong organizational skills.
Ability to manage multiple priorities in a fast-paced environment.

Nice To Haves

Experience supporting contact center operations, staffing models, or workforce management.
Familiarity with SQL, Python, R, or other analytical programming languages.
Experience with forecasting methodologies and scenario modeling.
Understanding of operational KPIs, SLA performance, and workforce metrics.
Experience working in government contracting or federal services environments.
Knowledge of recruiting metrics and workforce planning concepts.

Responsibilities

Develop and maintain operational forecasting and staffing models for contact center and government services programs.
Analyze trends related to staffing, attrition, productivity, hiring pipelines, workload allocation, and operational performance.
Build dashboards, reports, and visual presentations for executive leadership using tools such as Power BI, Tableau, or Excel.
Support financial and operational planning by identifying risks, trends, and optimization opportunities.
Perform ad hoc data analysis to support business initiatives and strategic decisions.
Collaborate with recruiting, HR, finance, and operations teams to validate assumptions and improve forecast accuracy.
Create executive-ready charts, graphics, and presentations that clearly communicate insights and recommendations.
Monitor KPIs and develop automated reporting solutions where possible.
Assist with data cleansing, validation, and quality assurance activities.
Document methodologies, assumptions, and reporting processes for consistency and audit readiness.
Participate in continuous improvement initiatives related to reporting, analytics, and process automation.