Duluth, GA

Data Jobs in Duluth, GA

4 jobs found

Include remote jobs

5d ago

Data Analyst 3

Primerica Duluth, GA

Duluth, GA

5d ago

$95k - $120k/yr Full time Analytical Skills Analytics Business Analytics

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Job Description

Join Primerica in a hybrid Data Analyst role based in Duluth, GA 30099 (2 days on site, 3 days remote). You will turn business process knowledge and transaction data into reporting, dashboards, and analytics that help teams make operational decisions. The role also includes opportunities to collaborate across departments, support data initiatives, and help guide less experienced analysts.

Responsibilities

Lead assigned data-related initiatives, including gathering requirements, analyzing needs, and presenting findings clearly.
Write advanced queries drawing from multiple tables and systems, including calculations and subqueries, using tools such as SQL, MS Access, MS Excel, R, Python, or other available tooling.
Research issues across multiple platforms to determine root cause and identify solutions to resolve problems.
Build and maintain analytical reports, charts, presentations, dashboards, and timelines for ongoing and ad hoc use.
Create complex Power BI visuals and dashboards for management and other departments, including ongoing reporting needs.
Apply modeling software to support predictive analytics aligned with department objectives.
Analyze data for trends and meaningful, clear observations, including identifying discrepancies across data sets and data lakes.
Ensure data quality through accurate and timely processing, and maintain review of files, tables, and reports for inconsistencies.
Perform detailed analysis on results and summarize findings for stakeholders.
Present data with recommendations to department leadership to support operational decisions, process improvement, and policy development for change initiatives.
Design, develop, and maintain statistical reports on daily, weekly, monthly, and ad hoc schedules for all levels of management.
Support process efficiency improvements, including using automation tools.
Assist in the design and structure of data lakes and other data tools, including defining data needs.
Use existing and new data to better meet Home Office, field, and client needs.
Assist in building POCs, including providing logic and working with IT to build necessary APIs.
Mentor and guide teammates by answering questions, offering direction, and training less experienced analysts.
Maintain awareness of risk within the functional area, follow policies and procedures, and report known or suspected violations to appropriate Company authority in a timely manner.
Interface with multiple teams, departments, and third parties; lead meetings to gather requirements and drive resolution.
Perform other related duties as required.

Requirements

Bachelor’s degree or equivalent experience (Business, Data Analysis, Data Science, or related field preferred).
3+ years of Data Analyst experience (3-5 years preferred).
Database management software experience (WinSQL, WebQMF, dbeaver, or equivalent).
MS Office experience including Word, Excel, PowerPoint, and Access.
Confluence and SQL and database experience.
Power BI experience.
In-depth knowledge of data gathering techniques.
Ability to combine data, perform complex analysis, and present findings logically and meaningfully.
Works independently with minimal guidance.
Advanced Excel skills including pivot tables and charts, plus ability to construct complex formulas.
Self-motivated and comfortable working in a fast-paced environment.

Tools & Technologies

SQL, MS Access, MS Excel, R, Python
WinSQL, WebQMF, dbeaver
Power BI, Confluence, PowerPoint, Access
API

Benefits

Day one health, dental, and vision insurance
401(k) plan with competitive employer match
Vacation, sick, holiday, and volunteer time off
Life and disability insurance
Flexible Spending Account & Health Savings Account
Professional development
Tuition reimbursement
Company-sponsored social and philanthropy events

Compensation: USD 95,000 - 120,000 per year. FLSA status: Exempt (not eligible for overtime pay).

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30d ago

Senior Data Engineer - Technology

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

30d ago Closed

Full time Senior Amazon Web Services AWS

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

The Senior Data Engineer role at Neptune Technology Group Inc. focuses on owning and modernizing the data pipeline architecture, migrating ETL workloads from Redshift stored procedures and legacy SSIS to scalable, maintainable pipelines built with AWS Glue and S3, and guiding the shift toward near real-time analytics using stream processing technologies such as Apache Flink and ClickHouse.

Responsibilities

Design and implement modern ETL and ELT pipelines leveraging AWS Glue, S3, and related services to replace legacy stored procedures and SSIS jobs.
Architect data transformation workflows that are testable, version-controlled, and observable.
Optimize and maintain the Redshift data warehouse, focusing on materialized views, query performance, and cost efficiency.
Advance the platform from batch ETL to near real-time stream processing by evaluating and deploying technologies such as Apache Flink, ClickHouse, Kafka, Kinesis, or equivalent.
Design pipelines capable of supporting both near real-time and batch workloads during the transition.
Collaborate with product and analytics teams to ensure data models support reporting, AI/ML initiatives, and customer-facing features.
Establish patterns and best practices for pipeline development adopted by the broader team.
Participate in production support and incident response for data infrastructure.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a minimum of five years in data engineering roles.
Extensive experience with AWS Glue (PySpark/Python), S3, and Redshift.
Proven track record migrating ETL workloads from legacy tools such as SSIS or stored procedures to modern cloud-native pipelines.
Strong SQL skills with best practices and SQL linting, particularly in Redshift or other columnar/MPP databases.
Experience with or strong interest in stream processing frameworks (Flink, Spark Streaming, Kafka Streams, or similar).
Familiarity with data pipeline orchestration, monitoring, and error handling patterns.
Experience with infrastructure-as-code and CI/CD for data pipelines.

Technologies

Python
PySpark
SQL
AWS Glue
S3
Redshift
SSIS
Apache Flink
ClickHouse
Kafka
Kinesis
Apache Spark Streaming
Kafka Streams
Aurora MySQL
DynamoDB
Apache Druid
dbt
Airflow
Step Functions
MQTT

Location

Onsite in either Tallassee, Alabama or Duluth, Georgia. Travel to manufacturing or customer locations may be required up to 20% of the time when necessary.

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30d ago

Data Scientist

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

30d ago Closed

Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Join Neptune Technology Group as a Data Scientist and contribute to our water utility intelligence platform. This onsite role in Duluth, GA centers on turning large-scale IoT data from water meters into actionable insights, collaborating with product, engineering, and analytics teammates to deploy data science solutions into production, and advancing predictive capabilities for water systems. You will work with the Neptune 360 platform and cloud-based data infrastructure, staying current with developments in machine learning and data science while growing your technical skills.

Responsibilities

Collaborate with team members to develop and deploy machine learning models and data science solutions.
Partner with Product Management to translate requirements into analytical approaches.
Develop models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
Analyze large-scale time-series data from IoT devices and water utility operations.
Build data processing workflows using Python, SQL, and distributed computing frameworks.
Conduct exploratory data analysis to uncover patterns, trends, and insights in utility data.
Perform feature engineering and model experimentation to boost predictive performance.
Create data visualizations and reports to communicate findings to stakeholders.
Implement data quality checks and validation procedures for analytics pipelines.
Collaborate with software engineers to integrate ML models into the Neptune 360 platform.
Monitor model performance and contribute to the maintenance of production ML systems.
Document analytical methodologies, code, and model implementations.
Participate in code reviews and follow data science best practices.
Work with cloud-based data infrastructure and ML tools, with AWS preferred.
Stay current with advances in machine learning and data science techniques.
Participate in sprint planning and demonstrate completed work at the end of each iteration.
Support senior data scientists on complex analytical projects.
Continuously develop technical skills through self-directed learning and training.

Requirements

3+ years of experience in data science, machine learning, or related analytical roles.
3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn).
Strong experience with SQL and relational databases.
Experience building and evaluating machine learning models.
Understanding of statistical analysis and experimental design principles.
Experience with data visualization tools and techniques.
Familiarity with cloud platforms (AWS, Azure, or GCP).
Experience with version control systems (Git).
Understanding of software development best practices.
Ability to work in Agile or iterative development environments.
Strong problem-solving skills and attention to detail.
Ability to communicate technical concepts clearly to both technical and non-technical audiences.
Demonstrated ability to learn new technologies and tools quickly.
Continued professional development through courses, certifications, or projects.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.

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1mo ago

Senior Data Scientist

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

1mo ago Closed

Full time Senior Amazon Web Services Analytics

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Neptune Technology Group Inc. is seeking a Senior Data Scientist to design and implement machine learning models and data driven solutions that enhance Neptune's water utility intelligence platform. This role involves working with large-scale IoT data from millions of water meters, developing predictive analytics capabilities, and deploying AI solutions into production. You will collaborate with Product Management and Engineering teams, mentor junior data scientists, and help drive Neptune's AI transformation. This on-site position is based in Duluth, GA.

Responsibilities

Communicate decisions, designs, and outcomes to stakeholders at all levels across the organization.
Collaborate with cross-functional teams to deliver high-quality machine learning models and data science solutions.
Understand and refine requirements defined by Product Management for AI powered features.
Design and implement machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
Develop and deploy production ready machine learning pipelines on cloud infrastructure (AWS).
Analyze large-scale time-series data from IoT devices and water utility operations.
Build and optimize data processing workflows using PySpark and distributed computing frameworks.
Create data visualizations and analytics dashboards to communicate insights to stakeholders.
Conduct exploratory data analysis to identify patterns, trends, and opportunities in metering data.
Perform feature engineering and model selection to optimize predictive performance.
Evaluate model performance and implement monitoring solutions for production ML systems.
Collaborate with software engineers to integrate ML models into the Neptune 360 platform.
Provide technical guidance to Product Management on data science capabilities and feasibility.
Document data science methodologies, model architectures, and analytical findings.
Stay current with the latest developments in machine learning, AI, and data science best practices.
Mentor junior data scientists and disseminate technical knowledge within the organization.
Review code and model implementations of other team members.
Participate in sprint planning and demonstrate completed work at the end of each iteration.
Work with Python, SQL, PySpark, AWS services (SageMaker, Bedrock, Lambda, Redshift), and ML frameworks.
Contribute to Neptune's AI strategy and identify new opportunities for data-driven innovation.

Requirements

5+ years of experience in data science, machine learning, or related analytical roles.
5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
Strong experience with SQL and working with large-scale databases (Redshift, PostgreSQL, MySQL).
Experience with PySpark and distributed computing frameworks for large-scale data processing, including working with common data formats such as JSON and Parquet.
Proven track record of deploying machine learning models to production environments.
Experience with cloud platforms, preferably AWS (SageMaker, Bedrock, Lambda, S3, Redshift).
Experience with time-series analysis and forecasting methods.
Understanding of MLOps practices and model lifecycle management.
Experience building RESTful APIs for model serving.
Strong statistical analysis and experimental design skills.
Experience with data visualization tools and techniques.
Experience working in Agile/iterative development environments.
Ability to communicate complex technical concepts to non-technical stakeholders.
Experience with version control systems (Git) and CI/CD pipelines.
Continued professional self-improvement through courses, certifications, or research.
Preferred: Experience with AWS big data services (Glue, EMR, Athena).
Preferred: Experience with IoT data, utility operations, or water management systems.
Preferred: Experience with generative AI and large language models.

Technologies

Python
SQL
PySpark
AWS
SageMaker
Bedrock
Lambda
Redshift
S3
PostgreSQL
MySQL
JSON
Parquet
Pandas
NumPy
scikit-learn
TensorFlow
PyTorch
RESTful APIs
Git
CI/CD pipelines
Glue
EMR
Athena

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Data Jobs in Duluth, GA

Data Analyst 3

Senior Data Engineer - Technology

Data Scientist

Senior Data Scientist

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