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Data Analytics Jobs in Atlanta, GA (NOW HIRING)

This role helps to drive analytical initiatives to tangible results meeting and exceeding the ... Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop)

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Vice President, Data & Analytics

Atlanta, GA · On-site

  • Medical

  • Dental

  • Retirement

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ID: 523775 Oldcastle, a CRH company, is reinventing what's possible in building solutions. We are the ...

Vice President, Data & Analytics

Atlanta, GA · Hybrid

  • Medical

  • Dental

  • Retirement

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

The Data Analytics, Manager, Commercial Lines role will be responsible for working directly with leaders within Commercial Lines to ensure an understanding of data and analytics needs and priorities ...

The ideal candidate bringsa strong foundationin analytics and financial modeling, combined with the ability to translate complex data into insights that drive informed decisions and sustained value ...

Showing results 41-60

Data Analytics information

See Atlanta, GA salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data analytics in Atlanta, GA is $52.65, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $59.66 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Atlanta, GA? The most popular types of Data Analytics jobs in Atlanta, GA are:
What job categories do people searching Data Analytics jobs in Atlanta, GA look for? The top searched job categories for Data Analytics jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Analytics jobs? Cities near Atlanta, GA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Atlanta, GA as of August 2026, with employment types broken down into 74% Full Time, 2% Temporary, and 24% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $109,507 per year, or $52.6 per hour.

Data, Analytics & Business Intelligence Leader

Truist

Atlanta, GA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

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If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:The Head of Business Data is the executive leader accountable for the delivery and management of business data governance, data management, reporting, and analytics. This role owns the business unit data organization, delivery
culture, hiring and team development, cross-functional delivery execution, and the operational discipline required to transform the business through data and analytics enablement. The Head of Business Data is accountable to adhere to
governance requirements established by the Chief Data Governance Officer and partner with the Business Unit/Corporate Functions CDOs, Chief Divisional Technology, Data, and Operations Officer, and business unit leaders to execute on the business strategy in alignment with the enterprise data strategy.
Must be able to communicate and interact effectively with C-Level BU/CF executives, in senior level committees and with regulators on data related topics. Must be able to partner, negotiate, influence and balance priorities across multiple technology and business unit teams.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Develop and execute the business unit/corporate functions (BU/CF) data & analytics strategy and roadmap. This includes coordination with the Chief Business Execution & Risk Officer, BU/CF CDO, and the Chief Divisional Technology, Data, and Operations Officer to align the strategy with the business vision and priorities.
2. Partner across C-Level executive business leaders to transform the business through cultivating data driven decision-making and enabling data analytics to re-engineer processes to grow and sustain the business.
3. Coordinate with the Chief Data Governance Officer to align BU/CF roadmap to data governance priorities, roadmap, and risk/regulatory commitments.
4. Provide regular updates to C-Level BU/CF executives and business unit committees regarding progress across key business initiatives and data risk in relation to appetite.
5. Drive accountability within the BU/CF for data ownership and sound data management practices including partnering with business leaders to resolve open data issues and sub-issues.
6. Own and maintain the BU/CF inventory of data critical business process and partner with process owners to drive adherence to governance requirements.
7. Oversee the business data stewards and partner across the company to implement and sustain data governance requirements across data critical processes and critical data elements.
8. Oversee implementation of the enterprise data strategy within the BU/CF and partner with business leaders to drive modernization efforts, AI enablement, and consumption of data from governed data sources.
9. Manage and execute innovation across data analytics, data science (AI/ML), reporting and modeling.
10. Partner with the AI & Data Office to define the target state tools, solutions, and capabilities to execute on the business strategy.
11. Partner across Truist to achieve the business unit data strategy and roadmap objectives, while bringing best in class industry practices to improve people, process and technology.
12. Accountable to manage the business analytics, data science, data stewards and reporting teams that can span 50-200 teammates.
13. Maintain knowledge of emerging industry practices and technologies while bringing those new practices to Truist.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Undergraduate degree in either computer science, information systems, analytics, data engineering, finance or equivalent degree
2. Fifteen years of data management experience inclusive of driving enterprise data strategy, data execution, data engineering or software delivery
3. Expert problem solving skills and being able to define detailed strategies
4. Experience in financial services or payments industry
5. Experience in meeting regulatory obligations and operating in a highly regulatory environment
6. Experience partnering with C-Level executives to accomplish business objectives.

Preferred Qualifications:
1. Expert in solution designs based upon business requirements
2. Experience in building financial services strategy
3. Experience in leading business data governance across processes and solutions.
4. Experience in data architecture, solution architecture and/or designing enterprise business processes.
5. Skills demonstrated in data engineering, computer engineering, data transformation (ETL), digital transformation and cloud computing.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019