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Data Analytics Manager Jobs in Cumming, GA (NOW HIRING)

Advanced Analytics Manager

Dunwoody, GA · On-site

$125 - $150/hr

The Advanced Analytics Manager is a highly technical, hands‑on role responsible for conducting complex analyses that move ABM beyond reporting into decision‑ready insights. This individual will ...

Marketing Analytics Manager

Atlanta, GA · Remote

$120K - $135K/yr

About the Role 3E is looking for an Marketing Analytics Manager to help transform how our Marketing ... Build AI-driven reporting solutions that automate data preparation, analysis, narrative generation ...

Document data sources, metric logic, and reporting assumptions to support transparency and ... Strong analytical and problem-solving skills with high attention to detail * Ability to manage ...

Partners with internal and external stakeholders to develop and manage data logistics, including ... Deploys analytical solutions to business problems. Reviews quality assurance/quality control data ...

Partners with internal and external stakeholders to develop and manage data logistics, including ... Deploys analytical solutions to business problems. Reviews quality assurance/quality control data ...

Manages the team's efforts in the overall development, implementation, and configuration of all ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

Showing results 41-60

Data Analytics Manager information

See Cumming, GA salary details

$27.7K

$86.7K

$153.4K

How much do data analytics manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics manager in Cumming, GA is $86,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $112,000.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Cumming, GA?

The most popular types of Data Analytics jobs in Cumming, GA are:

What are popular job titles related to Data Analytics Manager jobs in Cumming, GA?

For Data Analytics Manager jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Cumming, GA look for?

The top searched job categories for Data Analytics Manager jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Data Analytics Manager jobs?

Cities near Cumming, GA with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Cumming, GA as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $86,660 per year, or $41.7 per hour.

Banking Data & Analytics SME

Tier4 Group

Atlanta, GA

Full-time

Posted 9 days ago


Job description

Location: Atlanta, GA metro area
6+ contract (likely extension)
Position: Banking Data & Analytics Subject Matter Expert (SME)
We are seeking a seasoned Banking Data & Analytics Subject Matter Expert (SME) to support a major banking transformation initiative. This individual will serve as the critical link between business stakeholders and technical teams, bringing deep expertise in retail and commercial banking while helping shape data-driven solutions that improve customer insights, profitability, reporting, growth, and risk management.

The ideal candidate combines strong banking domain knowledge with experience leading business and data initiatives, translating complex business needs into actionable requirements for data, analytics, and engineering teams.

Key Responsibilities
Banking Consulting & Stakeholder Engagement
Lead discovery sessions and workshops with executives, business leaders, product owners, and operational teams.
Provide expertise across retail and commercial banking products, processes, customer journeys, and performance metrics.
Identify key business challenges, opportunities, KPIs, and analytical use cases.
Challenge assumptions and recommend best practices based on banking industry experience.
Partner with stakeholders to prioritize initiatives based on business value, data readiness, and risk considerations.
Business & Data Translation
Translate business goals into detailed data, reporting, and analytics requirements.
Define KPI calculations, business rules, dimensional models, data quality standards, and reporting definitions.
Work closely with data architects, engineers, BI developers, and analytics teams to develop trusted business-ready data assets.
Support Customer 360, reporting, profitability, growth, and operational analytics initiatives.
Ensure data models and reporting platforms support current business needs and future AI-driven capabilities.
Required Qualifications
12+ years of experience in Business Analysis, Product Ownership, Consulting, or related disciplines.
5+ years of direct banking industry experience supporting U.S. financial institutions.
Proven success delivering banking data, analytics, reporting, Customer 360, data warehouse, or lakehouse initiatives.
Strong understanding of retail and commercial banking products, operations, and performance metrics.
Demonstrated ability to facilitate executive-level workshops and stakeholder discussions.
Experience gathering requirements and translating business needs into technical specifications.
Strong communication, presentation, and stakeholder management skills.
Working knowledge of Agile methodologies, user acceptance testing, and change management processes.
Preferred Qualifications
Experience working with regional or mid-sized banks.
Microsoft Fabric, Azure Data Services, Power BI, SQL, or Salesforce experience.
Exposure to data governance, metadata management, and master data initiatives.
Experience defining banking metrics related to deposits, lending, profitability, customer relationships, churn, cross-sell, and executive reporting.
CBAP, PMI-PBA, CSPO, or other relevant certifications.