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Hourly Data Analytics Jobs in Decatur, GA (NOW HIRING)

R2 Technologies

Data Analyst

Alpharetta, GA · On-site

Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions. * Coordinate and collaborate with data engineering, analytic ...

Omni Inclusive

Data Analyst

Atlanta, GA · On-site

Minimum 3+ years in in Data Analytics itself. Should be able to guide/lead a team. Work with technical and non technical stakeholders. • Analyze large datasets to identify trends, perform outlier ...

KGS Technology Group, Inc

Data Analyst

Alpharetta, GA · On-site

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality * Acquire data from primary or secondary data sources ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

... analytics and other strategies that optimize statistical efficiency and quality • Acquire data from primary or secondary data sources and maintain databases/data systems • Identify, analyze, and ...

United IT

Lead Data Analyst

Atlanta, GA · Hybrid

Lead data analytics efforts across CRM, CDP, and personalization programs, supporting segmentation, targeting, lifecycle marketing, and campaign strategies. * Analyze and resolve data quality issues ...

United IT Solutions

Lead Data Analyst

Atlanta, GA · Hybrid

Lead data analytics efforts across CRM, CDP, and personalization programs, supporting segmentation, targeting, lifecycle marketing, and campaign strategies. * Analyze and resolve data quality issues ...

SynergisticIT

Data Analyst

Atlanta, GA · On-site

Launch Your Data Career with Proof, Not Promises-At SynergisticIT If you're serious about starting a high-impact, high-paying career in Data Science, Analytics, or Engineering , it's time to stop ...

Agile Consulting Group, Inc.

Data Analyst

Norcross, GA · On-site

$75K/yr

This is an in-office, onsite 5x per week position. • Bachelor's degree, preferably in Finance, Accounting, Data Analytics, Business, or a related field. • 1-3 years of experience in data analysis ...

CrunchTime

Data Analyst

Atlanta, GA · On-site +1

$75K - $105K/yr

Own the planning, estimation, and delivery of data analytics tasks and projects, partnering with project management to track progress, milestones, and risks. * Design and implement scalable data ...

Agile Consulting Group Inc

Data Analyst

Norcross, GA · On-site

$75K/yr

This is an in-office, onsite 5x per week position. • Bachelor's degree, preferably in Finance, Accounting, Data Analytics, Business, or a related field. • 1-3 years of experience in data analysis ...

WPS Health Solutions

Data Analyst

Rex, GA · On-site +1

Bachelor's Degree in Data Analytics, Mathematics, Statistics, Computer Science or related field or equivalent combination of education and experience. One (1) or more years of experience querying ...

WPS Health Solutions

Data Analyst

Atlanta, GA · On-site +1

Bachelor's Degree in Data Analytics, Mathematics, Statistics, Computer Science or related field or equivalent combination of education and experience. * One (1) or more years of experience querying ...

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Hourly Data Analytics information

See Decatur, GA salary details

$23

$53

$92

How much do hourly data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for hourly data analytics in Decatur, GA is $53.45, according to ZipRecruiter salary data. Most workers in this role earn between $42.93 and $60.53 per hour, depending on experience, location, and employer.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What are hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

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

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Decatur, GA? The most popular types of Data Analytics jobs in Decatur, GA are:
What are popular job titles related to Hourly Data Analytics jobs in Decatur, GA? For Hourly Data Analytics jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Hourly Data Analytics jobs in Decatur, GA look for? The top searched job categories for Hourly Data Analytics jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Hourly Data Analytics jobs? Cities near Decatur, GA with the most Hourly Data Analytics job openings:
Hourly Data Analytics jobs near you
Data Analyst

Data Analyst

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 24 days ago

Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML

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