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

Ability to Obtain Public Trust We are seeking a Data Analyst with strong child welfare domain expertise to support a state agency modernization effort. This role focuses on working directly with ...

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Job Overview: We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune ...

This role sits in Stord's Data team and owns the analytics product layer for our Labor Management ... You'll get exposure to all levels of Stord up to and including our Senior Leadership team * Tech ...

Overview ABOUT THE POSITION Senior Transportation Data Analyst Locations: Watertown, MA | Raleigh, NC | Orlando, FL | NYC | Washington DC | Atlanta, GA | Any additional office locations in VHB ...

Senior Research/Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Senior Research/Data Analyst Location: Atlanta, GA PRIMARY DUTIES AND RESPONSIBILITIES Perform job responsibilities with minimal supervision Extract primary data from Oracle Database with the use of ...

(Senior) Corporate Data Analyst

Atlanta, GA · On-site +1

$67K - $101K/yr

Overview The (Senior) Corporate Data Analyst is responsible for working with stakeholders all areas of the business to support the creation of a new internal data warehouse. This person manages the ...

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Align with SMEs to outline analytic requirements and devising the analytics that meet the ...

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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:
What are popular job titles related to Senior Data Analyst jobs in Decatur, GA? For Senior Data Analyst jobs in Decatur, GA, the most frequently searched job titles 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 (Hybrid - Atlanta, GA)

Prog Leasing LLC

Atlanta, GA • Hybrid

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we're focused on building simple, responsible financial solutions that put people first. PROG Holdings' portfolio includes Progressive Leasing, a market leader in leasetoown solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform - all united by a commitment to innovation, access, and meaningful impact.

***This role is a PPC role***

We're looking for a Senior Data Analyst to provide analysis, insights, and recommendations that drive sales, marketing, pricing, and promotional strategies across the business. This role is responsible for evaluating the effectiveness and profitability of key initiatives, identifying trends and opportunities, and delivering actionable recommendations that support growth and customer engagement.
The ideal candidate brings strong analytical and technical expertise, a passion for solving business problems through data, and the ability to translate complex analyses into meaningful business insights. This position partners closely with Marketing, Merchandising, Finance, Supply Chain, Account Management, and Data Science teams to support strategic decision-making and optimize business performance.

WHAT YOU'LL WORK ON

  • Provide data-driven insights and recommendations across sales, marketing, pricing, and promotional activities

  • Analyze item-level sales performance, customer behavior, campaign effectiveness, and promotional results to identify opportunities for growth

  • Monitor daily, weekly, and monthly sales trends and communicate key business drivers to leadership

  • Develop, execute, and measure marketing and promotional tests to generate actionable business insights and evaluate incremental demand and profitability

  • Lead customer analytics initiatives, including Customer Lifetime Value (CLTV), customer acquisition, retention, segmentation, and first-time versus repeat buyer analyses

  • Build and maintain reporting dashboards and visualizations using Tableau to support business needs and decision-making

  • Develop predictive and statistical models that support customer acquisition, engagement, retention, and profitability initiatives

  • Automate manual reporting processes and identify efficiencies to improve business operations

  • Conduct ad hoc analyses and support enterprise-wide initiatives and special projects as requested by senior leadership

  • Partner with cross-functional teams to ensure data accuracy, consistency, and integrity across reporting and analytics processes

  • Translate complex data findings into compelling stories and recommendations for business stakeholders

  • Provide mentorship, cross-training, and ongoing guidance to junior analysts and offshore team members

WHAT YOU BRING

  • Hybrid - 3 days onsite

  • Bachelor's degree in Economics, Mathematics, Finance, Statistics, Analytics, or a related field

  • 5+ years of experience in data analytics, business analytics, or marketing analytics, preferably within a retail or e-commerce environment

  • 5+ years of experience utilizing SQL, SAS, or similar analytical tools to query and analyze large data sets

  • 3+ years of experience developing reporting and dashboards using Tableau or similar business intelligence tools

  • Experience with web analytics platforms such as Adobe Analytics or equivalent tools

  • Advanced Microsoft Excel skills, including complex formulas, data modeling, and large-scale data analysis

  • Strong understanding of retail, e-commerce, and marketing concepts, including customer acquisition, segmentation, direct marketing, digital advertising, and promotional strategies

  • Experience applying advanced quantitative techniques such as forecasting, attribution modeling, customer lifetime value, price elasticity analysis, simulations, and optimization models

  • Proven ability to deliver actionable insights and influence business decisions through data analysis

  • Strong analytical, problem-solving, project management, and organizational skills

  • Excellent communication skills with the ability to present technical findings to non-technical audiences

  • Ability to manage multiple priorities and projects while maintaining exceptional attention to detail

  • AI-enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.

Preferred Qualifications

  • MBA with a concentration in Analytics, Data Science, or a related discipline

  • Experience with Python and/or R

  • Experience building predictive models and advanced statistical analyses within a retail, e-commerce, or consumer-focused organization

WHY THIS ROLE IS UNIQUE

  • We act with intensity, urgency and a passion for supporting our customers and growing our business. We strive for excellence.

  • We hold ourselves accountable and expect it of each other. We attack problems with a positive can-do attitude. We do what we say we'll do.

  • We deliver as one team, working together with integrity, respect, trust, transparency, and fun. We are better because we work here.

  • We believe our unique diversity and authenticity makes us a better company, allows us to be our best selves and is a competitive advantage.

  • We exhibit innate curiosity and creativity to innovate and reimagine how things can be done. We ask, Is there a better way?

WHAT WE OFFER

  • Comprehensive benefits: medical, dental, vision, company-paid Basic Life/AD&D

  • 401(k) Retirement Plan

  • Paid Time Off

  • Career Development

  • Employee Purchase Program

Purchasing Power welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Purchasing Power does business.