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On Call Data Analytics Consultant Jobs (NOW HIRING)

Analytics Consultant

Charlotte, NC · On-site

$52 - $56/hr

Analytics Consultant (Financial Crimes Analytics) We are not accepting C2C or 1099 arrangements ... Risk Analytics * 5+ years of experience performing data analysis, reporting, and business problem ...

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On Call Data Analytics Consultant information

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How much do on call data analytics consultant jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for on call data analytics consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What is the difference between On Call Data Analytics Consultant vs Data Analyst?

AspectOn Call Data Analytics ConsultantData Analyst
CredentialsTypically requires a degree in data science, statistics, or related field; certifications like Tableau, SQL, or Python are commonUsually holds a degree in data analysis, statistics, or related area; certifications may include Excel, SQL, or Tableau
Work EnvironmentOften on-demand, project-based, working remotely or on-site for clientsPrimarily in office or remote settings within organizations, handling ongoing data tasks
Employer & Industry UsageConsults for multiple clients across industries, providing specialized analytics servicesEmployed by companies to analyze internal data for business insights

In summary, an On Call Data Analytics Consultant offers flexible, project-based analytics services to various clients, often requiring specialized certifications. In contrast, a Data Analyst typically works within a single organization, focusing on ongoing data analysis to support internal decision-making.

More about On Call Data Analytics Consultant jobs

What are the most commonly searched types of Data Analytics Consultant jobs?

The most popular types of Data Analytics Consultant jobs are:

Infographic showing various On Call Data Analytics Consultant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

Data & Financial Analytics Consultant (USACE)

Aalis Management Consulting

Washington, DC • On-site

Full-time

Posted 15 days ago


Job description

Aalis Management Consulting is an 8(a) certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB) driven by the same principles that guide our armed forces. Founded by a US Army veteran, we take pride in our core values: excellence in reputation, commitment, candor, teamwork, and dependability. Our team delivers stakeholder-focused support in the areas of Acquisition & Procurement Support, (IT) Financial Management, Program Management, and Logistics & Supply Chain Support. Visit us at
Proposal: Contingent Upon Award
Title: Data Financial Analytics Consultant
Client: Department of Defense
Location: Remote - This is a remote CONUS position with required travel to support the federal agency's mission. (Anticipated locations: Dallas, TX; Vicksburg, MS; Atlanta, GA; Portland, OR; Cincinnati, OH)
Clearance: Secret
Security Clearance Statement: This position requires a government security clearance; the applicant must be a U.S. Citizen for consideration.
Number of Position(s): 1
Work Schedule: 8 am - 5 pm
Work Day: Monday - Friday
Aalis Management Consulting is seeking a Data & Financial Analytics Consultant to support a federal agency with data analytics, financial analysis, forecasting, performance measurement, and executive-level reporting.
The consultant will transform complex financial and operational data into actionable insights and develop dashboards, reports, and analytical products to support Government decision-making.
Key Responsibilities
  • Analyze, cleanse, validate, reconcile, and organize complex datasets.
  • Develop Power BI dashboards, reports, and data visualizations.
  • Use advanced Microsoft Excel for financial analysis, modeling, reconciliation, and reporting.
  • Develop KPIs and performance metrics and conduct trend analysis.
  • Perform forecasting, predictive analysis, financial analysis, and O&M budget analysis.
  • Support investment, cost-efficiency, water-resource, outage, and alarm-management analysis.
  • Develop acquisition performance metrics and reporting mechanisms.
  • Identify data trends, risks, discrepancies, and opportunities for improvement.
  • Translate complex analytical findings into actionable recommendations for senior leadership.
  • Develop executive-level dashboards, reports, briefings, and fully editable Government deliverables.
  • Collaborate with Government stakeholders and use Microsoft SharePoint and Teams as required.
Required Qualifications
  • Bachelor's degree in Data Analytics, Finance, Economics, Statistics, Business, Engineering, Mathematics, or related field.
  • Approximately 5-7+ years of relevant experience.
  • Federal government experience.
  • Active Secret security clearance.
  • Advanced Microsoft Excel skills.
  • Strong hands-on Power BI dashboard development experience.
  • Microsoft SharePoint and Teams experience.
  • Experience with data cleansing, validation, reconciliation, and analysis.
  • Experience with financial analysis, budgeting, forecasting, or cost analysis.
  • Experience developing KPIs, performance metrics, and data visualizations.
  • Strong analytical, problem-solving, written, and verbal communication skills.
  • Ability to translate complex data into clear recommendations for leadership.
  • Ability to work remotely and travel as required.
Preferred Qualifications
  • Experience with O&M financial analysis, investment analysis, predictive analytics, or operational data.
  • Power BI or related certification.

Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.