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Senior Data Analyst Jobs in Decatur, GA (NOW HIRING)

TK Elevator

Sr. Analyst- BI Data

Atlanta, GA · On-site

$81K - $103K/yr

TK Elevator is currently seeking an experienced Sr. Analyst- BI Data in Atlanta, GA . The Power BI Senior Analyst, FP&A will play a key role in the BI transformation inside the finance organization ...

Sterling Engineering Inc.

Data Analyst

Atlanta, GA

$45 - $60/hr

Senior Business Support Analyst Location: Hybrid Hire Type: Contract Salary: $45 to $60/hour ... Analyze financial and operational data to identify trends, forecast results, and provide actionable ...

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Immediate Start - 7th ... senior management and global stakeholders Required Advanced skills with MS Office (Excel ...

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Locals OR Ready to ... senior management and global stakeholders Required Advanced skills with MS Office (Excel ...

Resolution Technologies

Sr. Data Scientist

Atlanta, GA · On-site

Senior Data Scientist About the Role Our client is looking for a Senior Data Scientist for a ... The data scientist builds machine learning models and predictive analytics solutions and owns the ...

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COMPUTACENTER PLC

Senior Data Consultant

Norcross, GA · On-site

$81K - $102K/yr

This is a front-door role into Data & Analytics. You will shape demand, influence priorities, and ensure data initiatives are aligned to business outcomes. You will support a commercial, B2B ...

Computacenter

Senior Data Consultant

Norcross, GA · On-site

$81K - $102K/yr

This is a front-door role into Data & Analytics. You will shape demand, influence priorities, and ensure data initiatives are aligned to business outcomes. You will support a commercial, B2B ...

corpay

Senior Digital Data Analyst - Contract

Atlanta, GA · Remote

$82K - $104K/yr

What We Need CORPAY is currently looking for a Contract Senior Digital Data Analyst to help shape how we measure, understand, and improve digital performance across our web experiences. This is a ...

Corpay

Senior Digital Data Analyst - Contract

Atlanta, GA · On-site

$82K - $104K/yr

What We Need CORPAY is currently looking for a Contract Senior Digital Data Analyst to help shape how we measure, understand, and improve digital performance across our web experiences. This is a ...

FAVARH

Senior Analyst, Security Referential Data

Atlanta, GA · On-site

$82K - $104K/yr

... Data & Analytics Team as an Investment Security Referential Senior Analyst. In this senior role, you will own key components of our security master and referential data program, driving data ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Decatur, GA

Senior Data Analyst information

See Decatur, GA salary details

$53.7K

$96.9K

$132.3K

How much do senior data analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for senior data analyst in Decatur, GA is $96,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $105,900.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Decatur, GA? The most popular types of Data Analyst jobs in Decatur, GA are:
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What job categories do people searching Senior Data Analyst jobs in Decatur, GA look for? The top searched job categories for Senior Data Analyst jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Senior Data Analyst jobs? Cities near Decatur, GA with the most Senior Data Analyst job openings:
Senior Data Analyst jobs near you
Sr Analyst - Digital, Application Data

Sr Analyst - Digital, Application Data

Genuine Parts Company

Atlanta, GA • On-site

$81K - $103K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Genuine Parts Company rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

205th of 358 rated retail wholesalers

Job description

Job Description
Company Background:
Established in 1928, Genuine Parts Company is a leading global service provider of automotive and industrial replacement parts and value-added solutions. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 63,000 teammates. Learn more at genpt.com.
Position Purpose:
The Catalog Data Governance & Reporting manager supports company catalog data analytics initiatives which support all USAG Catalog Look-Up applications for NAPA U.S. and NAPA Canada. This position is responsible for establishing and promoting modern data and analytics governance principles, policies, standards, processes, and tools. This role requires a broad mix of business and technical savvy, teamwork, influencing decisions, and effective communication skills with key internal partners at all levels. The manager works directly with business representatives to define and implement the new processes and standards to monitor and improve all aspects of data quality, and maintenance across the organization.
Position Performance Measures:
  • Facilitates the development and implementation of data quality standards, processes, and procedures within the Digital Operations team.
  • Regular refinement of standards and requirements based on business needs and priorities
  • Communication of robust and comprehensive data governance standards and expectations for internal and external parties
  • Creating and enforcing methodologies to define structure, attribution, taxonomies, and metadata for substantive data management
  • The creation of automated, scalable approaches for data quality issue identification and support mitigation
  • Definition, development and delivery of standardized metrics for adoption and compliance with governance processes and procedures
  • Delivery of data governance and quality measures reporting/dashboards for business insights and actions

Ensures consistent and ongoing improvement to data quality, completeness and accuracy through reporting, analytics, engagement and interaction with internal stakeholders and Vendor partners
Responsibilities:
The primary duties and responsibilities of a Catalog Data Governance and Reporting Manager are listed, but not limited to the following:
  • Grow the data governance practice, govern and roadmap, including strategic priorities for development of governance and reporting capabilities
  • Develop a data governance framework, with a focus on improvement and sustainment of data quality through organizational and departmental behavior policies and standards, principles, governance metrics, processes, related tools and data architecture
  • Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company's primary product catalog and information assets
  • Serve as a liaison between Business, Functional areas and Technology to ensure that data related business requirements are clearly defined, communicated and well understood and considered as part of operational prioritization and planning
  • Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements
  • Facilitate the development and implementation of data quality standards, data quality reporting & dashboards, and data insights/adoption of requirements across the organization
  • Lead resources from the Business and Functional areas and IT business and operations functions, to achieve their objectives; resolve issues escalated from Business and Functional data governance and enrichment representatives
  • In conjunction with the IT, provide progress reports to Department Leadership and oversee periodic updates to the department roadmap
  • Identify new business opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace / represent data as a strategic business asset
  • Must be willing and able to travel within the United States and Canada
  • Be willing to represent the company (NAPA, GPC) in a professional and courteous manner in all dealings with GPC Suppliers, Employees of GPC, and Customers of GPC.
  • Willing to perform any and all tasks as directed by management.
  • Other duties as assigned.

Location:
  • GPC has two work locations to choose from, Duluth or Atlanta office.
  • We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule.

Desired Qualifications & Experiences:
  • Bachelors or master's in computer science, MIS, or Information Management, or equivalent experience.
  • Minimum of 3+ years of experience with large-scale data or project management and oversight experience. Minimum of 3 years in a major organization.
  • 8+ years in a management role
  • Knowledge of industry leading data quality, data standards and data management practices
  • Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches/emerging trends and issues
  • Demonstrated change management skills, including communication, culture change and performance measurement system design
  • Knowledge of data architecture and technology solutions
  • Ability to manage senior relationships across all the Business and Functional areas
  • Ability to develop cooperative and constructive working relationships
  • Ability to handle complaints, settle disputes and resolve conflicts and negotiate with others
  • Collaborative team player orientation towards work relationships, strong culture awareness
  • Internally and externally recognized subject matter expert that influence the way things are done
  • Strong abilities in data exploration, data manipulation, and data visualization
  • Ability to travel as required within the US and Canada
  • Automotive knowledge and enthusiasm a plus
  • Work is performed in a typical office environment

Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

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