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Analytic Engineer Jobs in Locust Grove, GA (NOW HIRING)

Salesforce

DATA ANALYST/BI ENGINEER

Atlanta, GA · On-site

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta, GA - Hybrid (3 days/week on-site) Required Skills: Strong SQL, Databricks ( or Snowflake ...

Stord, Inc.

Test & Analytics Engineer

Atlanta, GA · On-site

As a Test & Analytics Engineer, you will design experimental frameworks, execute structured tests in live operational environments, and develop analyses that directly inform which technologies ...

Stord

Test & Analytics Engineer

Atlanta, GA · On-site

As a Test & Analytics Engineer, you will design experimental frameworks, execute structured tests in live operational environments, and develop analyses that directly inform which technologies ...

Stord, Inc.

Test & Analytics Engineer

Atlanta, GA · On-site

As a Test & Analytics Engineer, you will design experimental frameworks, execute structured tests in live operational environments, and develop analyses that directly inform which technologies ...

US Bank

Infrastructure Data Analytics Engineer

Atlanta, GA

$110K - $132K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

Conflux Systems Inc

Power BI Developer

Atlanta, GA · On-site

... Analytics Engineer with 2-5 years of experience in Business Intelligence, Analytics Engineering, Data Engineering, and Data Analytics . This role focuses on developing scalable analytics solutions ...

PricewaterhouseCoopers LLP

Data Engineer - Manager

Atlanta, GA · On-site

$110K - $132K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

QGenda

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

Build data visualizations and dashboards supporting analytics use cases Strengthen Data Engineering Practices and Technical Standards * Translate complex business and analytics requirements into ...

Apex Systems

Data Engineer Sr

Atlanta, GA · On-site

$110K - $132K/yr

The successful candidate will partner with business stakeholders, data analysts, application developers, and technology teams to deliver trusted, governed, and reusable data assets. Key ...

Pwc

Data Engineer - Senior Associate

Atlanta, GA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Batchelor & Kimball

Database Engineer

Conyers, GA · On-site

Title: Database Analyst Location: Conyers, Georgia Overview Design, build and establish a ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Batchelor & Kimball

Database Engineer

Conyers, GA

Title: Database Analyst Location: Conyers, Georgia Overview Design, build and establish a ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Batchelor & Kimball

Database Engineer

Conyers, GA · On-site

Title: Database Analyst Location: Conyers, Georgia Overview Design, build and establish a ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

HD Supply

Manager, Data Analytics

Atlanta, GA

Analytics Engineering * Marketing Science * Digital Analytics * Data Products * Decision Science * Executive Storytelling The successful candidate will be equally comfortable discussing SQL ...

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Showing results 21-40

All JobsAnalytic Engineer JobsAnalytic Engineer Jobs in Locust Grove, GA

Analytic Engineer information

See Locust Grove, GA salary details

$34K

$88.7K

$119.9K

How much do analytic engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for analytic engineer in Locust Grove, GA is $88,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $101,600.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require skills in data modeling, SQL, and tools like Python or Spark, and often find opportunities in technology, finance, and healthcare sectors.

What does an analytic engineer do?

An analytic engineer designs, develops, and maintains data pipelines and systems to collect, process, and analyze large datasets. They often work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for business insights and decision-making.

What cities near Locust Grove, GA are hiring for Analytic Engineer jobs?

Cities near Locust Grove, GA with the most Analytic Engineer job openings:

Analytic Engineer jobs near you
Infographic showing various Analytic Engineer job openings in Locust Grove, GA as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $88,741 per year, or $42.7 per hour.

DATA ANALYST/BI ENGINEER

Salesforce

Atlanta, GA • On-site

Other

Posted 11 days ago

Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 244 rated software companies

Job description

DATA ANALYST/BI ENGINEER
Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta,
GA - Hybrid (3 days/week on-site)
Required Skills: Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development)
Preferred : Snowflake, Python, Terraforma
We are seeking a highly analytical, technically strong, and relentlessly curious Data Analyst / Analytics Engineer to help transform complex, disconnected data into trusted business insights and scalable data solutions.
While strong SQL skills remain essential, success in this role requires a broader capability across Databricks, data engineering, end-to-end analytics, and Power BI development. This role is not limited to querying data-it requires building and optimizing the data foundation, shaping business-ready datasets, and delivering clear, executive-ready reporting and visualization solutions.
The ideal candidate is equally comfortable working across raw data, transformation logic, analytical modeling, and front-end reporting. They enjoy solving difficult problems, thrive in ambiguity, and continuously ask questions to understand not only what happened, but also why it happened, where the data came from, how it should be modeled, and how insights should be delivered to the business in a trusted and scalable way.
This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic, validating outputs, and delivering insights through dashboards, reports, and executive readouts. They are naturally driven to investigate, learn the business, understand source systems, and uncover relationships across domains that others may overlook.
This role supports strategic business initiatives across Fiber, Connected Communities, Mobility, customer, revenue, operational, and financial domains. The individual is expected to partner closely with business stakeholders, develop a deep understanding of the business, and create scalable, trusted, and well-engineered data and reporting solutions that support executive decision-making.
Key Responsibilities
  • Analyze and integrate data across multiple applications, source systems, and business domains.
  • Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting needs.
  • Develop advanced SQL queries, analytical models, and reconciliation logic to investigate, validate, and unify complex datasets.
  • Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets for analytical consumption.
  • Build curated, business-ready datasets that serve as trusted sources for analysis, executive reporting, and self-service consumption.
  • Develop and maintain Power BI dashboards and reports that translate complex data into clear, actionable insights for business and executive stakeholders.
  • Own analytics solutions end to end, from raw data ingestion and transformation through semantic logic, reporting, visualization, and insight generation.
  • Transform fragmented and complex data into clear, business-relevant stories and recommendations.
  • Identify relationships between customers, products, locations, revenue, operational activity, and business performance.
  • Partner with business stakeholders to understand objectives, define KPIs and metrics, and solve challenging business problems.
  • Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes in partnership with upstream and downstream teams.
  • Ensure data lineage, business logic, and transformation rules are documented, scalable, and maintainable.
  • Improve performance, reliability, and usability of analytical workflows using modern engineering and BI best practices.
  • Continuously expand business, source system, platform, and reporting knowledge to accelerate problem-solving and improve analytical effectiveness.

What Makes Someone Successful in This Role
The strongest individuals in this role are not simply SQL developers, report builders, or dashboard creators. They are end-to-end problem solvers who can connect business needs, data engineering, analytics, and reporting into scalable solutions.
They:
  • Possess strong analytical curiosity and a desire to deeply understand how the business works.
  • Have hands-on experience with Databricks, modern data transformation, and analytical data engineering.
  • Have strong Power BI skills and know how to turn complex analysis into intuitive, executive-friendly dashboards and reporting.
  • Can connect disparate pieces of information into a complete, accurate, and actionable story.
  • Are comfortable working through ambiguity and incomplete requirements.
  • Ask thoughtful questions and challenge assumptions.
  • Take ownership of finding the right answer, not just the quickest answer.
  • Understand that trusted analytics begin with well-engineered, validated, and well-modeled data.
  • Can move seamlessly from raw data to business-ready insight and visualization.
  • Continuously build expertise in business processes, data lineage, system dependencies, and analytical modeling.
  • Translate complex technical findings into clear business recommendations and executive-ready outputs.
  • Demonstrate persistence, intellectual curiosity, and a passion for learning.
  • Balance speed with rigor, ensuring that solutions are both actionable and sustainable.

Qualifications
Required
  • Strong SQL development and data analysis experience.
  • Strong hands-on experience with Databricks for large-scale data processing, transformation, and analytics.
  • Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets.
  • Strong experience with Power BI (PBI) for dashboard development, data modeling, visualization, and business reporting.
  • Strong understanding of data engineering concepts, including data lineage, data quality, transformation logic, and scalable data modeling.
  • Experience working with large and complex datasets across multiple systems.
  • Strong problem-solving and analytical skills.
  • Ability to investigate and reconcile data across multiple platforms and source systems.
  • Experience supporting end-to-end analytics, from raw data ingestion to reporting, dashboarding, and insight generation.
  • Excellent communication and stakeholder management skills.
  • Ability to translate business questions into technical, analytical, and reporting solutions.

Preferred
  • Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments.
  • Experience with modern cloud-based analytics platforms and data engineering frameworks.
  • Knowledge of telecommunications, customer, revenue, operational, or financial data domains.
  • Experience working with cross-functional teams in a fast-paced environment.
  • Familiarity with KPI governance, executive reporting, and semantic layer design.

Our Philosophy
Databricks, data engineering capability, Power BI expertise, analytical curiosity, and business understanding determine your success.
The best people in this role become trusted advisors because they understand the business, understand the data, and know how to engineer scalable solutions and deliver trusted insights through effective reporting. They do not simply build reports-they build reliable data foundations, create meaningful visualizations, uncover insights, solve complex problems, and help the organization make better decisions through end-to-end analytics

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