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Analytical Manager Jobs in Georgia (NOW HIRING)

Financial Planning and Analysis Manager

Atlanta, GA ยท Hybrid

$101K - $133K/yr

We are seeking a highly analytical, strategic, and technology-forward FP&A Manager to lead financial planning, forecasting, modeling, and strategic analysis for our growing SaaS and Hardware-as-a ...

Responsibilities include, but are not limited to, building analytical and statistical methods to ... This role will manage and develop a team of up to 3 analysts and provide critical insights to ...

... Line Managers and Sales Planners to develop and maintain PSIs (production, wholesale, retail, inventory) that drive profitability. Apply statistical, advanced analytics, and machine learning ...

Manager, Data Analytics

Atlanta, GA ยท Hybrid

$111K - $145K/yr

You will drive the scoping & execution of analytical requests, including working with team members ... with experience managing issues externally * 2+ years demonstrated ability to work with large ...

This Manager Decision Analytics position manages people and processes related to the development of ... The ideal candidate will possess exceptional SQL, data visualization, and analytical skills to not ...

Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services ...

Showing results 21-40

Analytical Manager information

See Georgia salary details

$21.4K

$85.1K

$162.6K

How much do analytical manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for analytical manager in Georgia is $85,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,017.00 and $107,372.00 per year, depending on experience, location, and employer.

What is an analytical manager?

Analytical Managers are professionals who oversee teams responsible for analyzing data to support business decision-making. They manage data analysts or data scientists, set analytical strategies, and ensure the accuracy and usefulness of reports and insights. Analytical Managers also work closely with other departments to identify data needs, interpret results, and drive improvements based on analytical findings. Their role requires a combination of leadership, technical expertise, and strong communication skills.

How does an analytical manager typically collaborate with cross-functional teams within an organization?

Analytical Managers often work closely with departments such as marketing, finance, operations, and IT to provide data-driven insights that inform business decisions. They translate complex data into actionable recommendations, facilitate discussions to align analytics with strategic goals, and ensure data solutions meet the needs of various stakeholders. Regular meetings, project updates, and collaborative tools are commonly used to maintain clear communication and drive successful project outcomes.

What are the key skills and qualifications needed to thrive as an analytical manager, and why are they important?

To thrive as an Analytical Manager, you need strong quantitative analysis skills, experience in data modeling, and a relevant degree such as statistics, mathematics, or business analytics. Familiarity with data visualization tools (like Tableau or Power BI), statistical software (such as R or Python), and often certifications in data analytics are highly valuable. Exceptional problem-solving abilities, leadership, and effective communication skills help you translate complex data into actionable business strategies. These skills are essential to drive informed decision-making, manage analytical teams, and deliver impactful insights for organizational growth.

What is the difference between Analytical Manager vs Data Analyst?

AspectAnalytical ManagerData Analyst
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often some management experienceBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentLeads teams, manages projects, strategic planningPerforms data analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate, finance, consulting, and large organizationsCommon in tech, marketing, finance, and research sectors

The main difference is that an Analytical Manager oversees analytics teams and strategic initiatives, while a Data Analyst focuses on analyzing data and generating reports. The Analytical Manager has broader responsibilities, including team leadership and project management, whereas the Data Analyst specializes in data processing and insights.

What are the most commonly searched types of Analytical jobs in Georgia?

The most popular types of Analytical jobs in Georgia are:

Infographic showing various Analytical Manager job openings in Georgia as of August 2026, with employment types broken down into 80% Full Time, 11% Part Time, 6% Contract, and 3% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $85,113 per year, or $40.9 per hour.

Financial Planning and Analysis Manager

Coreforce

Atlanta, GA โ€ข Hybrid

$101K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Apply today to join Coreforce, where your Finance expertise makes a real impact. ย 

Join Our Team as a Financial Planning and Analysis Manager

Company Overview:
Coreforce is an innovative technology company providingย public safetyย organizations a comprehensiveย technology suite from dispatchย to the courtroom.ย Coreforce delivers integrated technology designed to support public safety entities, regardless of organizational size. Our products - body cameras, in-car videos, mobile routers, and digital evidence systems, help public safety officers and first responders save lives, strengthen community trust, and enhance accountability.

Financial Planning and Analysis Manager โ€“ Build Your Career with Purpose

Why Join Us This is an opportunity to help build a best-in-class Finance organization. You will work directly with executive leadership, influence strategic decisions, and lead the adoption of modern AI and automation capabilities that will shape the future of Finance. If you're passionate about combining deep financial expertise with cutting-edge technology to create business value, we'd love to hear from you.

Join Coreforce and use your finance skills to support innovative technology that strengthens communities.

Why Youโ€™ll Love Working Here:

  • Flexible hybrid schedule.
  • Free chef-inspired lunch Mondayโ€“Thursday.
  • 15 PTO days + floating holiday.
  • Competitive benefits: medical, dental, vision, 401(k) with 100% match up to 4%.
  • Annual bonus.
  • Tuition reimbursement.
  • Career growth in a fast-growing, mission-driven company.
  • Collaborative, purpose-driven culture.

Responsibilities:

We are seeking a highly analytical, strategic, and technology-forward FP&A Manager to lead financial planning, forecasting, modeling, and strategic analysis for our growing SaaS and Hardware-as-a-Service (HaaS) organization.

This individual will serve as a trusted advisor to the CFO and executive leadership team, providing financial insights that drive profitable growth, improve operational performance, and support strategic decision-making. The ideal candidate combines exceptional financial modeling expertise with a passion for leveraging AI, automation, and modern analytics to transform finance into a highly efficient, data-driven business partner.

This role requires an individual who is equally comfortable building sophisticated financial models from scratch, presenting to executive leadership, and identifying opportunities to automate and modernize finance processes through artificial intelligence and emerging technologies.


Primary Responsibilities

Financial Planning & Analysis

  • Lead the annual operating plan, quarterly forecasting process, long-range planning, and monthly financial reviews.
  • Own company-wide budgeting, forecasting, and financial planning processes.
  • Develop monthly, quarterly, and annual executive reporting packages.
  • Perform detailed variance analysis against budget, forecast, prior year, and strategic plan.
  • Develop financial insights that improve operational performance and support executive decision-making.
  • Partner closely with Accounting to ensure consistency between financial reporting and forecasting.

Strategic Financial Modeling (Expert-Level)

Serve as the organization's financial modeling expert.

Responsibilities include developing sophisticated, scalable financial models that support strategic planning and executive decision-making, including:

  • Build and maintain sophisticated three-statement financial models with scenario, sensitivity, and driver-based forecasting capabilities.
  • Develop detailed ARR, MRR, churn, CAC, LTV, bookings, and cohort analysis models.
  • Model hardware deployment economics, inventory investments, leasing structures, warranty exposure, and margin optimization.
  • Support strategic initiatives including pricing analysis, capital allocation, market expansion, financing activities, and M&A evaluations.
  • Conduct ad hoc analyses to support executive decision-making.

AI, Automation & Finance Transformation

Lead the Finance organization's adoption of Artificial Intelligence and automation technologies.

Responsibilities include:

  • Leverage AI tools to improve forecasting accuracy and financial analysis.
  • Develop AI-assisted forecasting methodologies using historical data, operational drivers, and predictive analytics.
  • Utilize generative AI to accelerate financial reporting, executive summaries, board presentations, and business analyses.
  • Design automated reporting workflows that reduce manual effort and improve reporting speed.
  • Evaluate emerging AI technologies and recommend solutions that improve Finance productivity.
  • Create standardized AI prompts, workflows, and best practices for the Finance team.
  • Identify repetitive finance activities suitable for automation.
  • Partner with IT and Business Systems to integrate AI capabilities into Finance processes.
  • Develop predictive analytics supporting revenue growth, customer retention, and operational efficiency.
  • Utilize AI to identify trends, anomalies, financial risks, and business opportunities.
  • Improve forecast accuracy through machine learning concepts and advanced statistical techniques where appropriate.
  • Champion responsible AI governance by ensuring data quality, transparency, and financial accuracy.
  • Stay current on emerging AI technologies and continuously identify opportunities to modernize the Finance organization.

Systems & Business Intelligence

  • Improve financial reporting processes through automation.
  • Build scalable Power BI dashboards and executive scorecards.
  • Develop self-service reporting capabilities.
  • Partner with Accounting to improve ERP reporting.
  • Improve financial data quality and governance.
  • Optimize planning systems and reporting tools.
  • Build automated reporting processes that minimize manual spreadsheet work.
  • Bachelor's degree in Finance, Accounting, Economics, or related discipline.
  • 5 - 8+ years of progressive FP&A, Corporate Finance, Investment Banking, Strategic Finance, or Financial Consulting experience.
  • Experience within SaaS, HaaS, technology, subscription, or high-growth businesses.
  • Advanced Microsoft Excel expertise.
  • Expert financial modeling skills.
  • Strong understanding of financial statements and GAAP.
  • Exceptional analytical and problem-solving abilities.
  • Excellent written and verbal communication skills.

Preferred

  • MBA and/or CPA.
  • Experience in private equity-backed companies.
  • Experience with NetSuite.
  • Experience with Power BI or Tableau.
  • Experience with Adaptive Planning, Anaplan, or similar FP&A platforms.
  • SQL, Python, or Power Query experience.
  • Experience working with ERP implementations.
  • Experience supporting acquisitions and integrations.

AI & Technology Qualifications

Candidates should demonstrate experience leveraging modern AI and analytics tools in a professional Finance environment.

Preferred experience includes:

  • ChatGPT Enterprise, Microsoft Copilot, Claude, or Gemini.
  • AI-enabled forecasting platforms.
  • Power Automate.
  • Workflow automation platforms.
  • API integrations.
  • Business Intelligence platforms.
  • Predictive analytics.
  • Data visualization.
  • Prompt engineering for business applications.
  • AI governance and responsible use of artificial intelligence.

Coreforce is an equal opportunity employer committed to diversity and inclusion.