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Data Analytics Jobs in Powder Springs, GA (NOW HIRING)

... Analytics, Supply Chain, Industrial Engineering, or a related field * -0-2 years of experience in financial analysis, FP&A, data analytics, business analysis, procurement, or a related area ...

Job Summary Responsible for managing the analytic team efforts to develop easily repeatable reports and dashboards that will allow internal clients to make data-driven decisions. Implement strategies ...

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice. Responsibilities: * Lead the implementation and configuration of Oracle Fusion Data Intelligence (FDI ...

Job Summary Responsible for managing the analytic team efforts to develop easily repeatable reports and dashboards that will allow internal clients to make data-driven decisions. Implement strategies ...

KPMG is currently seeking a Manager, Oracle Data &Analytics in Enterprise Solutions for our Consulting practice. Responsibilities: * Lead the implementation and configuration of Oracle FusionData ...

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 ...

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Data Analytics information

See Powder Springs, GA salary details

$23

$51

$89

How much do data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics in Powder Springs, GA is $51.84, according to ZipRecruiter salary data. Most workers in this role earn between $41.63 and $58.75 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 job categories do people searching Data Analytics jobs in Powder Springs, GA look for? The top searched job categories for Data Analytics jobs in Powder Springs, GA are:
What cities near Powder Springs, GA are hiring for Data Analytics jobs? Cities near Powder Springs, GA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Powder Springs, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $107,830 per year, or $51.8 per hour.

Data Analytics Analyst II 4P/755

4P Consulting Inc.

Atlanta, GA

Contractor

Re-posted 12 hours ago


Job description

Position: Data Analytics Analyst II

Location: Atlanta, GA
Duration: 4 Months Contract to Hire

Client: Georgia Power

Job Summary

Georgia Power is seeking a Data Analytics Analyst II with 3–5 years of experience to support enterprise data analytics initiatives. The ideal candidate will have strong experience with Python, SQL, Databricks, and Power BI, developing data queries, analyzing large datasets, and creating interactive dashboards that drive business insights and decision-making.

Key Responsibilities

· Develop and optimize SQL queries in Databricks.

· Analyze large datasets to identify trends, insights, and business opportunities.

· Create interactive Power BI dashboards connected directly to Databricks.

· Develop data visualizations and reports for business stakeholders.

· Join and transform data from multiple data sources for analysis.

· Calculate statistical metrics, including averages, means, and other key performance indicators.

· Collaborate with business and technical teams to support data-driven decision-making.

· Ensure data quality, accuracy, and consistency across reporting solutions.

Required Qualifications

· Bachelor's degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, or a related field.

· 3–5 years of experience in data analytics or business intelligence.

· Strong proficiency in Python and SQL.

· Experience writing and optimizing queries in Databricks.

· Experience developing Power BI dashboards connected to Databricks.

· Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

· Experience building Databricks Genie Rooms, applications, and visualizations.

· Experience working with enterprise data platforms and cloud analytics environments.

Preferred Skills

Python • SQL • Databricks • Power BI • Data Analytics • Data Visualization • Business Intelligence • Dashboard Development • Data Modeling • ETL • Reporting • Statistical Analysis • KPI Reporting

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