2

Remote Data Analyst Jobs in Clarkston, GA (NOW HIRING)

Data Engineering * Applied AI & Analytics * Supply Chain Automation * Solution Design You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs ...

New

Sr. Data Analyst - Transport

Atlanta, GA

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python, SQL, and Excel skills. You should be curious about how claims work and how our systems process them. You'll also need the ability to ...

This is a remote position with up to 25% domestic travel. This role leads team management and ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Showing results 21-40

Remote Data Analyst information

See Clarkston, GA salary details

$33.6K

$81.7K

$134.4K

How much do remote data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data analyst in Clarkston, GA is $81,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,900.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Clarkston, GA?

The most popular types of Data Analyst jobs in Clarkston, GA are:

What job categories do people searching Remote Data Analyst jobs in Clarkston, GA look for?

The top searched job categories for Remote Data Analyst jobs in Clarkston, GA are:

What cities near Clarkston, GA are hiring for Remote Data Analyst jobs?

Cities near Clarkston, GA with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Clarkston, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,674 per year, or $39.3 per hour.

Supply Chain Data Analyst

KPI Solutions

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Advanced Solution Development Data Scientist/Senior Data Engineer (Data+AI / Databricks / SQL) - Closed-Loop Design & Pre-Sales Automation
KPI Solutions is a leading supply chain and warehouse automation integrator helping companies transform distribution operations through intelligent software, robotics, automation, and data-driven solutions.
With expertise spanning WMS, automation, robotics, controls, and systems integration, KPI partners with customers to design and implement scalable solutions that improve throughput, efficiency, and operational performance across distribution and fulfillment environments.
As KPI continues to expand its Advanced Solutions Development organization, we are investing heavily in next-generation technologies that combine automation, analytics, and AI to shape the future of intralogistics and warehouse operations.
About the Role
We are seeking a highly motivated and hands-on Data Scientist / Senior Data Engineer to help build and scale KPI's Closed-Loop Design Program - an initiative focused on accelerating pre-sales engineering, improving automation design accuracy, and leveraging AI-driven insights across the customer solution lifecycle.
This role sits at the intersection of:
  • Data Engineering
  • Applied AI & Analytics
  • Supply Chain Automation
  • Solution Design

You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs, customer requirements, and historical project data into intelligent, repeatable outputs that drive faster and more accurate proposal development.
This is an exciting opportunity for someone who enjoys building systems from the ground up, solving complex operational problems, and influencing how advanced automation solutions are designed and delivered.
What You'll Deliver: High-Impact Use Cases
  • RFP & Specification Intelligence
    Extract requirements, generate compliance matrices, and identify clarifying questions automatically.
  • Cost & ROI Scenario Modeling
    Support data-driven decision-making through option comparisons and sensitivity analysis.
  • Proposal "Fact Pack" Automation
    Create scalable executive summaries and SOW-ready proposal content from governed datasets.
  • Design & Operational Analytics
    Analyze throughput, staffing models, slotting strategies, and replenishment impacts.
  • Benchmark-Driven Solution Guidance
    Leverage historical project data and comparable implementations to guide future designs.

What You'll Do
  • Build and maintain curated datasets using Databricks (Delta tables, jobs, SQL Warehouses) and SQL-based governed reporting tables.
  • Ingest and manage full pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda with proper metadata and version control.
  • Develop applied analytics solutions including:
    • Forecasting
    • Scenario modeling
    • Optimization (LP/MILP or practical heuristics)
    • Similarity modeling and benchmarking
  • Publish reliable datasets and insights for Tableau Cloud consumption with consistent business definitions.
  • Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to continuously improve benchmarks and estimate accuracy.
  • Partner cross-functionally with engineering, analytics, and solution design teams to improve automation decision-making at scale.
What Success Looks Like
In this role, you will help KPI:
  • Accelerate proposal development with intelligent, governed "first draft" solution packs
  • Improve confidence and accuracy in complex automation pursuits
  • Build scalable benchmarking capabilities that improve operational estimates over time
  • Create data products that directly influence automation strategy and customer outcomes

Requirements
Required Qualifications
  • 4+ years of experience in:
    • Data Science
    • Analytics Engineering
    • Applied Machine Learning
      with proven production delivery experience.
  • Strong SQL skills including:
    • Data modeling
    • Query optimization
    • Governance-ready dataset development
  • Hands-on experience with Databricks (Delta Lake, notebooks, jobs, SQL Warehouses) or similar enterprise data platforms.
  • Strong Python experience preferred for:
    • Data preparation
    • Modeling
    • Workflow automation
  • Ability to communicate assumptions, risks, and analytical outcomes clearly to technical and non-technical stakeholders.
Preferred Qualifications
  • Experience in warehouse automation or intralogistics environments:
    • AMRs
    • AutoStore
    • Shuttle systems
    • Sortation
    • WES/WCS platforms
  • Experience with:
    • Forecasting
    • Optimization
    • Simulation / Digital Twin technologies
    • Decision-support analytics
  • Familiarity with document parsing and extraction workflows for RFP/specification processing.
  • Tableau experience including:
    • Curated dataset publishing
    • Dashboard performance optimization

Benefits
What we Offer:
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Health Care Concierge Service
  • 401(k) Retirement Plan (Pre-tax & Roth)
  • Company paid Basic Life Insurance, Short-Term Disability & Long-Term Disability
  • Voluntary Life & AD&D Insurance
  • Voluntary Accident, Critical Illness & Hospital Indemnity Insurance
  • Pet Insurance
  • Milk Stork Program
  • Wellness Program with gift card redemption and wellness challenges
  • Paid Time Off (Vacation, Sick & 10 Holidays)
  • Training & Development

Why KPI Solutions?
At KPI Solutions, you'll be part of a team that values innovation, accountability, and continuous improvement. This is more than a reporting role-it's an opportunity to make a measurable impact on project success and business performance.
KPI Solutions provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by states, federal, or local law.