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Metrics Consultant Jobs (NOW HIRING)

Metric Engineering is seeking a Graphic Designer to support the development of high-quality, client-facing deliverables and branded materials across both Metric Engineering and Metric Consulting.

Consultant

MD · On-site

$80K - $130K/yr

The Consultant will support Barrow Wise's Government project and perform the following duties ... Create metrics and describe the parameters used to evaluate and measure each objective * Provide ...

For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision ... Analyze operational, compliance, and cybersecurity metrics and trends. * Produce weekly and monthly ...

For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision ... Analyze operational, compliance, and cybersecurity metrics and trends. * Produce weekly and monthly ...

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How much do metrics consultant jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for metrics consultant in the United States is $41.55, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $49.52 per hour, depending on experience, location, and employer.

Is 100 an hour good for consulting?

For a Metrics Consultant, earning $100 an hour is generally considered competitive, especially for those with specialized skills, certifications, or experience in data analysis, reporting, and performance measurement. Rates can vary based on industry, location, and project complexity, with experienced consultants often charging higher fees. It is important to compare this rate to industry standards and your level of expertise to determine its competitiveness.

What is a Metrics Consultant?

A Metrics Consultant is a professional who specializes in designing, implementing, and analyzing performance measurement systems for organizations. They help businesses identify key performance indicators (KPIs), collect and interpret data, and provide actionable insights to improve efficiency and achieve strategic goals. Metrics Consultants work across various industries to ensure that organizations can track progress, assess outcomes, and make informed decisions based on reliable data.

What are the 7 C's of consulting?

The 7 C's of consulting are a framework that emphasizes key qualities for effective consulting: Competence, Confidence, Communication, Credibility, Commitment, Curiosity, and Character. For a Metrics Consultant, demonstrating these qualities helps build trust with clients and ensures successful project delivery. Developing skills in data analysis tools and maintaining professional integrity are also important in this role.

How does a Metrics Consultant typically collaborate with cross-functional teams to drive data-driven decision making?

As a Metrics Consultant, you will often work closely with teams across departments such as marketing, finance, and operations to identify key performance indicators (KPIs) and design measurement frameworks. Collaboration usually involves facilitating workshops to understand business objectives, translating them into measurable metrics, and ensuring alignment on data definitions. You may also support teams by creating dashboards, explaining analytical findings, and providing training on best practices for interpreting and using data effectively. This collaborative approach helps organizations make informed decisions and continuously improve their performance.

What jobs make $1,000,000 a year?

In the field of metrics consulting or related data-driven roles, earning $1,000,000 annually is rare and typically involves senior-level positions such as chief data officers, analytics executives, or entrepreneurs in data-related businesses. These roles often require extensive experience, advanced skills in data analysis, leadership, and strategic decision-making, and may include bonuses, profit sharing, or equity. Most professionals in this income range work in high-growth industries or hold executive positions with significant responsibilities.

What are the key skills and qualifications needed to thrive as a Metrics Consultant, and why are they important?

To thrive as a Metrics Consultant, you need strong analytical skills, experience with data analysis, and typically a degree in business, statistics, or a related field. Proficiency with business intelligence tools (such as Tableau or Power BI), data visualization software, and familiarity with databases or Excel are commonly required. Excellent communication, problem-solving abilities, and attention to detail are crucial soft skills in this role. These competencies enable Metrics Consultants to deliver actionable insights that drive business decisions and performance improvements.

What is the highest-paying type of consultant?

Management consultants, especially those specializing in strategy or IT, tend to have the highest salaries among consulting roles. Senior-level consultants with specialized skills, certifications, and experience in high-demand industries can earn significantly higher compensation, often exceeding $150,000 annually.
More about Metrics Consultant jobs
Infographic showing various Metrics Consultant job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $86,430 per year, or $41.6 per hour.
Identity Security Metrics Engineer

Identity Security Metrics Engineer

COMPTACTICS LLC

Clarksburg, MD • Remote

$70K - $80K/yr

Full-time

Posted 6 days ago


Job description

Location: 100% Remote (USA)
Clearance: Unclassified, must be eligible for DoD Secret Clearance
Employment Type: Full-time
Overview

Description

Our client is seeking a motivated Junior Identity Security Metrics Consultant & Databricks Analyst to support enterprise identity security initiatives and data analytics efforts across modern identity and cloud platforms. The ideal candidate will assist in generating “metrics-that-matter” within identity ecosystems such as Okta and Ping while leveraging Databricks to extract, analyze, and report on operational and security-related data.
This role requires a blend of identity security knowledge, analytical thinking, and data storytelling capabilities. The candidate will work closely with technical and business stakeholders to develop meaningful security metrics, support identity-related implementations, and create executive-level reporting that enhances visibility into authentication, access management, and enterprise security posture.
The position demands strong communication skills, attention to detail, and the ability to collaborate across multiple functional teams in support of mission-critical identity and analytics initiatives.
Responsibilities

  • Identity Security Metrics & Reporting: Support identity security initiatives by developing and maintaining meaningful security metrics and reporting capabilities across enterprise identity platforms such as Okta and Ping. 
  • Databricks Data Analysis: Extract, analyze, and generate reports from Databricks environments to support operational insights, security initiatives, and data-driven decision-making. 
  • AI/ML Security Support: Assist with leveraging artificial intelligence and machine learning (AI/ML) capabilities to improve fraud detection, identity authentication processes, and enterprise data quality initiatives. 
  • Stakeholder Engagement & Executive Briefings: Prepare presentations, dashboards, and executive briefings that effectively communicate trends, risks, and insights through storytelling with data. 
  • Technical Implementation Support: Provide support for technical implementations related to identity and access management tools, including configuration, reporting, and data integration activities. 
  • Data Validation & Quality Assurance: Validate data accuracy and integrity across identity systems and analytics platforms while identifying inconsistencies, reporting gaps, or data anomalies. 
  • Collaboration: Work collaboratively with cross-functional teams, project stakeholders, and leadership to support identity security modernization efforts and analytics initiatives. 
  • Documentation & Reporting: Maintain documentation, reports, and operational procedures related to identity metrics, analytics processes, implementation activities, and reporting standards. 
Requirements

Minimum Qualifications

  • Experience: 1+ years of experience supporting identity security, data analytics, Databricks analysis, or related technical consulting initiatives in enterprise environments. 
  • Identity & Access Management Knowledge: Experience supporting identity and access management (IAM) tools and platforms such as Okta, Ping, SailPoint, or similar enterprise identity technologies. 
  • Databricks & Data Analytics: Hands-on experience using Databricks or similar analytics platforms for data extraction, reporting, dashboard creation, and operational analysis. 
  • AI/ML & Security Analytics: Familiarity with artificial intelligence and machine learning (AI/ML) concepts related to fraud detection, authentication analysis, anomaly detection, and enterprise data quality improvement. 
  • Technical Implementations: Experience supporting technical implementations, integrations, reporting activities, or platform configuration related to identity security or analytics environments. 
  • Executive Communication & Storytelling: Ability to develop executive briefings, dashboards, presentations, and data-driven reporting materials for technical and non-technical stakeholders. 
  • Collaboration & Stakeholder Management: Strong verbal and written communication skills with the ability to collaborate effectively across multiple functional groups, leadership teams, and project stakeholders. 
  • Education: Bachelor’s degree in Computer Science, Engineering, Management Information Systems, Cybersecurity, Data Analytics, or an equivalent technical field. 
  • Clearance Eligibility: Must be eligible to obtain and maintain a DoD Secret clearance. 
Preferred Qualifications

  • Cloud & Security Platforms: Familiarity with enterprise cloud environments, identity governance, authentication systems, or security operations processes.