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Risk Intelligence Analyst Jobs in Georgia (NOW HIRING)

As a Cyber Risk Analyst, you will support cybersecurity and technology risk assessment activities while helping design, test, and maintain artificial intelligence (AI)-powered solutions that improve ...

The Senior Risk Operations Analyst is a high visibility and demanding role, responsible for ... Collaborate with Payment Systems Intelligence to recognize and implement measures to identify and ...

The Senior Risk Operations Analyst is a high visibility and demanding role, responsible for ... Collaborate with Payment Systems Intelligence to recognize and implement measures to identify and ...

... the risk team for underwriting analysis * Evaluate vehicle coverage exceptions and labor rate ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... the risk team for underwriting analysis * Evaluate vehicle coverage exceptions and labor rate ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... the risk team for underwriting analysis * Evaluate vehicle coverage exceptions and labor rate ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Support market intelligence efforts in Nat Cat shared groupwide. SOLUTION DEVELOPMENT: * Lead analytical research and solution development of practical solutions to quantify catastrophe risk for ...

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Risk Intelligence Analyst information

See Georgia salary details

$12

$34

$55

How much do risk intelligence analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for risk intelligence analyst in Georgia is $34.19, according to ZipRecruiter salary data. Most workers in this role earn between $25.19 and $41.59 per hour, depending on experience, location, and employer.

What is a risk intelligence analyst?

A Risk Intelligence Analyst is a professional who identifies, assesses, and monitors risks that could impact an organization’s operations, reputation, or financial health. They collect and analyze data from various sources to detect potential threats, such as security breaches, market fluctuations, geopolitical events, or compliance issues. Their insights help organizations make informed decisions to mitigate risks and capitalize on opportunities. Risk Intelligence Analysts often work closely with management, security teams, and other stakeholders to develop and implement risk management strategies.

How does a risk intelligence analyst collaborate with other departments to identify and mitigate organizational risks?

Risk Intelligence Analysts regularly work with teams across departments such as compliance, cybersecurity, operations, and executive leadership to assess potential threats and vulnerabilities. They gather and analyze data from various internal and external sources, then share actionable insights through detailed reports and presentations. This cross-functional collaboration ensures that emerging risks are addressed promptly and that mitigation strategies are integrated into business processes, fostering a proactive risk management culture within the organization.

What are the key skills and qualifications needed to thrive as a risk intelligence analyst, and why are they important?

To thrive as a Risk Intelligence Analyst, you need strong analytical and research abilities, a background in risk management or related fields, and often a relevant degree such as in criminal justice, security studies, or data analytics. Familiarity with technologies like risk assessment platforms, data visualization tools, and intelligence databases, as well as certifications like Certified Risk Management Professional (CRMP), is typical. Exceptional attention to detail, critical thinking, and effective communication are vital soft skills for interpreting information and presenting findings. These skills enable proactive threat identification and informed decision-making to protect organizational assets and operations.

What is the difference between Risk Intelligence Analyst vs Risk Analyst?

AspectRisk Intelligence AnalystRisk Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; certifications like FRM or CRMBachelor's degree in finance, economics, or related field; certifications like FRM or CRM
Work EnvironmentFinancial institutions, consulting firms, or government agencies focusing on risk assessment and intelligenceCorporate, banking, or insurance sectors analyzing financial risks and market trends
Employer & Industry UsageUsed in industries requiring risk intelligence and strategic insightsCommon in finance and insurance sectors for risk evaluation

Both roles require similar educational backgrounds and certifications, often working in financial or consulting environments. The Risk Intelligence Analyst focuses more on gathering and analyzing risk data to inform strategic decisions, while the Risk Analyst primarily assesses financial risks to support operational decisions.

What job categories do people searching Risk Intelligence Analyst jobs in Georgia look for?

The top searched job categories for Risk Intelligence Analyst jobs in Georgia are:

What cities in Georgia are hiring for Risk Intelligence Analyst jobs?

Cities in Georgia with the most Risk Intelligence Analyst job openings:

Infographic showing various Risk Intelligence Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $71,105 per year, or $34.2 per hour.

Sr. Performance Analyst, Marketing Intelligence

Broughton Partners

Savannah, GA • On-site

Full-time

Posted 24 days ago


Job description


The Senior Performance Analyst supports the Director, Marketing Intelligence by owning higher-complexity reporting, measurement, and diagnostic work that turns the function's strategy and frameworks into intelligence the business can act on. The Director sets methodology, owns stakeholder narrative, governs metrics definitions, and architects the measurement strategy; the Senior Analyst is the senior hands-on builder who helps shape execution, leads complex investigations, and converts findings into decision-ready recommendations. Working in close partnership with AdTech/MarTech, Tech, Data, Digital, CRM, Procurement, Intake Operations, and Compliance, the Senior Analyst produces and improves the descriptive, diagnostic, and predictive outputs that ladder into monthly CMO reviews and quarterly business reviews. This is an individual-contributor role with no direct reports. Success is measured by the reliability, accuracy, timeliness, and business impact of the intelligence delivered.

Core Responsibilities, but aren't limited to: (included in Job Posting)

1.

Build, run, and improve the descriptive and diagnostic reporting layer for the marketing funnel.

2.

Own the weekly reporting suite by intake source, service provider, campaign, and cohort - covering conversion timelines, contactability, opt-out behavior, and signing probability - against the agreed methodology and metrics standards.

3.

Lead diagnostic deep dives that explain variance and translate findings into operational and budget recommendations, packaging results for review and stakeholder use.

4.

Maintain self-service dashboards and the metrics dictionary so published measures remain governed and defensible.

5.

Act as a senior first line of "ask the data team": triage requests, answer routine and moderately complex questions, and work with the Director on strategic or high-risk analyses.

6.

Track analytical adoption and surface where stakeholders are still reverting to gut feel or manual reporting.

7.

Translate the B2C measurement framework and claimant journey analytics design into working pipelines and reporting artifacts.

8.

Partner with AdTech/MarTech, Tech, and Data to stitch media spend to claimant outcomes, reconcile attribution across web, behavioral, lead, and CRM sources, and quantify attribution and click-ID coverage gaps for cross-functional action.

9.

Build and run the nurture performance dashboard covering contact attempts, response rates, channel mix, time-to-contact, and drop-off by step.

10.

Establish and maintain contact-rate and lead-to-retainer conversion baselines and report progress against improvement targets.

11.

Diagnose where post-lead conversion is being lost, partner with Digital and CRM on test design, and produce analytical inputs for the monthly CMO journey review pack.

12.

Run the day-to-day lead-capture QA, predictive model operations, and pre-lead quality surveillance work that underpins the function's measurement and forecasting agenda.

13.

Monitor routing accuracy, source-tagging integrity, and end-to-end lead delivery; reconcile lead counts across capture, routing, and CRM systems and lead investigation of material variances while escalating anomalies within SLA.

14.

Reconcile lead counts across capture, routing, and CRM systems and lead investigation of material variances while escalating anomalies within SLA.

15.

Lead investigation of material variances while escalating anomalies within SLA.

16.

Support the build, validation, and ongoing operation of the signed-retainer yield forecast model, benchmark forecast accuracy monthly against actuals, document drift, and surface early-warning signals on underperforming sources, cohorts, or campaigns.

17.

Operate the surveillance reporting layer, triage automated alerts, produce monthly audit packs and partner scorecards used in commercial conversations, and document partner warnings and suspensions in a format that supports FTC, state AG, and TCPA inquiries.

18.

Evaluate tooling gaps and pilots from a practitioner perspective and feed findings into the Director's technology audit and roadmap.

19.

Other duties as assigned.

Minimum Position Requirements

Education: Bachelor's degree in Analytics, Marketing, Statistics, Economics, Business, Data Science, or a related quantitative field, or equivalent professional experience.

Work Experience: 5+ years of progressively responsible experience in performance marketing analytics, ideally in lead generation, mass tort or legal services, insurance, or another high-cost-per-lead regulated B2C vertical. Experience with Python and/or dbt for warehouse modeling, familiarity with mass tort intake and the contact-rate-to-retainer funnel is preferred. Exposure to TCPA, TrustedForm, Jornaya, and Consent Mode v2 and traffic / fraud detection tools and behavioral bot signals as well as forecasting and experimentation experience is preferred.

Licenses or Certification: Relevant certifications in SQL, paid media platforms, web analytics, visualization tools, or data modeling are preferred.

Skills Needed: 

  • Advanced SQL on warehouse-scale event data
  • Hands-on experience joining clickstream, form, lead-routing, media, and CRM data
  • Fluency with at least two web or lead analytics platforms
  • Salesforce reporting fluency including custom objects
  • Working knowledge of paid media platforms and click-ID architecture
  • Working experience with lead distribution/routing platform
  • Demonstrated ability to build stakeholder-ready dashboards and present recommendations to senior cross-functional leaders.

Physical Requirements 

Standing, walking, sitting, repetitive movements and use of mechanical controls, such as a keyboard, are frequently required.