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entry level data scientist - collections analytics Jobs in Atlanta

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entry level data scientist collections analytics

Sequium Asset Solutions

<div>Job title: Entry Level Data Scientist - Collections Analytics
Location: Atlanta, GA or Remote
Employment type: Full-time
Reports to: VP Strategic Initiatives
About us
Sequium Asset Solutions is the industry's most progressive and advanced debt collection servicer. Our mission is to provide uncompromising operational excellence by setting the highest standards in service and reliability through the application of our five core values: Leadership, Training, Talent Acquisition, Rewards and Technology. At Sequium, Tomorrow is Today.
We have an outstanding opportunity for an accomplished data scientist to join one of the most exciting and fastest growing companies in the industry. In this role you will report directly to the Vice President of Strategic Initiatives and support analytics and modeling projects across account segmentation, contact strategy optimization, and early-warning
detection. You will work with cross-functional teams (operations, compliance, IT) to turn data into actionable insights, build repeatable analytics, and productionize models. Our company has made huge investments in data science and generated an agentic AI. We are attempting to fully automate all decisioning processes to give us the highest statistical result and incremental value for all performance matrices.
The successful applicant must possess a high level of intelligence, motivation and enthusiasm in creating breakthrough value enhancements. This is a critical position within the organization for someone who is creative, self-starting and who wants to be in control of their own destiny.
Key responsibilities<ul><li>
Must have significant knowledge using enterprise AI software (Claude, Cursor and Python) with the ability to direct and prompt this software in order to create significant breakthroughs to enhance automated and real-time strategies.</li><li>
Build, validate, and maintain predictive models (e.g., credit/payment propensity, churn/risk, contact response) using Python/R and standard ML libraries.</li><li>
Clean, explore, and feature-engineer large-structured datasets from multiple sources (payments, contact history, credit bureau, CRM).</li><li>
Run A/B tests and propensity-matched experiments to evaluate contact strategies and messaging, measure lift and report results.</li><li>
Create dashboards, visualizations, and regular reports for operations and leadership (KPIs: recovery rates, promise-to-pay keep rates, contact conversion, roll rates).</li><li>
Assist in productionizing models: packaging, documentation, monitoring, and retraining schedules in collaboration with others.</li><li>
Implement and track model performance, fairness, and stability metrics; support model governance and compliance documentation.</li><li>
Support data pipelines and ETL tasks; partner with data engineering to ensure data quality and lineage.</li><li>
Translate business problems into analytical approaches; present findings and recommended actions to stakeholders.</li><li>
Stay current on best practices in supervised/unsupervised learning, causal inference, and responsible AI as applied to collections.</li></ul>
Required qualifications<ul><li>
Bachelor&rsquo;s degree (or equivalent) in Data Science, Statistics, Computer Science, Mathematics, Industrial Engineering, or related quantitative field; graduation within the last 2-3 years.</li><li>
Solid SQL skills for data extraction and manipulation.</li><li>
Strong programming skills in Python.</li><li>
Understanding of basic ML algorithms (logistic regression, decision trees, ensemble methods, clustering) and evaluation metrics (precision/recall, confusion matrix, calibration).</li><li>
Experience with data visualization tools (Power BI, Tableau or equivalent) or ability to produce clear visual analyses in Python/R.</li><li>
Hands-on experience with at least one machine learning project (class project, internship, capstone, or competition) with end-to-end work (data cleaning, modeling, evaluation).</li><li>
Strong analytical problem-solving, attention to detail, and ability to communicate technical results to non-technical stakeholders.</li><li>
Commitment to ethical data practices and regulatory compliance (willingness to learn collections/consumer protection rules).</li></ul>
Preferred (nice-to-have)<ul><li>
Internship or part-time experience in finance, collections, payments, credit risk, or customer analytics.</li><li>
Familiarity with time-series or survival analysis and propensity scoring.</li><li>
Experience with model monitoring frameworks, cloud platforms (AWS, GCP, Azure).</li><li>
Knowledge of compliance/regulatory frameworks relevant to collections (e.g., FDCPA basics).</li></ul>
Technical stack expectations<ul><li>
Data: SQL, relational databases</li><li>
Visualization: Power BI</li><li>
Languages: Python (R acceptable)</li><li>
ML: scikit-learn, XGBoost/LightGBM, basic knowledge of neural nets optional</li><li>
Workflow: Git, Jupyter notebooks, basic command line</li><li>
Cloud/Infrastructure: AWS/GCP/Azure; containerization (Docker), Kubernetes experience preferred</li></ul>
Success metrics (first 6&ndash;12 months)<ul><li>
Deliver at least one validated predictive model and support its production handoff</li><li>
Implement 2&ndash;3 dashboards or automated reports used by operations.</li><li>
Demonstrate measurable lift from an A/B test or strategy change driven by your analysis.</li><li>
Complete formal documentation for at least one model covering training data, features, performance, and monitoring plan.</li></ul>
Behavioral competencies<ul><li>
Curious, proactive learner who seeks feedback and owns development.</li><li>
Team player who collaborates with ops, IT, and compliance.</li><li>
Communicates clearly, distills complex analyses into actionable recommendations.</li><li>
Comfortable working in a regulated, data-sensitive environment.</li></ul>
Application process
Submit resume, transcript (unofficial acceptable), and a one-page project summary showing relevant work.</div>

Entry Level Data Scientist - Collections Analytics

The Home Depot

<div>
 Req167506
 
 
 
 Position Purpose
 
 
 
 The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
 
 As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
 </li>
 <li>
 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
 </li>
 <li>
 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
 </li>
 <li>
 15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position typically reports to Manager or above
 </li>
 <li>
 This position has 0 Direct Reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel less than 10% of the time.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
 </li>
 <li>
 4+ years of experience in business intelligence and analytics
 </li>
 <li>
 Working knowledge of Microsoft Excel and Power Point
 </li>
 <li>
 Experience in a modern scripting language (preferably Python)
 </li>
 <li>
 Proficient running queries against data (preferably with Google BigQuery or SQL)
 </li>
 <li>
 Proficient with data visualization software (preferably Tableau)
 </li>
 <li>
 Proficient utilizing statistical techniques to identify key insights that help solve business problems
 </li>
 <li>
 Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
 </li>
 <li>
 Demonstrated experience in predictive modeling, data mining and data analysis
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 No additional education
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 3
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
 <ul>
 <li>
 No additional years of experience
 
 
 </li>
 </ul>
 
 Minimum Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Preferred Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Certifications
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
 </li>
 <li>
 Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
 </li>
 <li>
 Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
 </li>
 <li>
 Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
 </li>
 <li>
 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
 </li>
 <li>
 Drives Results: Consistently achieving results, even under tough circumstances
 </li>
 <li>
 Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
 </li>
 <li>
 Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
 </li>
 <li>
 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 </li>
 <li>
 Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
 </li>
 </ul>
</div>

Data Scientist, Online

<div>Position Purpose:
We are transforming how merchandising decisions are made through AI-powered solutions and automation. This Sr. Data Scientist plays a key role to build scalable, mathematical algorithms in production that directly impact retail and merchandising by solving complex, high-value business problems. The position focuses on science-driven models, operating at the intersection of data science, process automation, cloud deployment, and software production to deliver reliable decision systems that increase efficiency and improve customer experience.
This role leads Machine Learning initiatives end-to-end, from cross-functional collaboration and business problem framing through technical design, development, deployment, and ongoing monitoring and enhancement. The Sr. Data Scientist partners closely with product managers, software engineers, and business stakeholders to identify high-impact opportunities, translate into technical requirements, and deliver scalable solutions in production. The role is responsible for communicating insights and recommendations to both technical and non-technical audiences, mentoring data scientists on projects, and ensuring models perform effectively based on real-world outcomes. 
Key Responsibilities:<ul><li>
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team</li><li>
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master&rsquo;s or PhD in Data Science, Statistics, Economics, Applied Math, Engineering, or other quantitative and engineering fields.</li><li>
6+ years of hands-on experience developing and deploying Machine Learning models into production environments and integrating into scalable data pipelines and decision systems (e.g., via APIs, microservices, or batch pipelines), ensuring reliability, scalability, traceability, and interoperability.</li><li>
Deep expertise in causal inference (e.g., Difference-in-Differences, Double ML, Synthetic Control) and discrete choice models, including elasticity, substitution and demand transfer.</li><li>
Solid foundation in machine learning models (e.g., regularized regression, tree-based methods such as XGBoost, and neural networks)</li><li>
Strong experience with forecasting models (e.g., time-series forecasting. ARIMA, Bayesian and probabilistic methods or deep learning-based approaches).</li><li>
Strong understanding of data structures, and modern cloud ecosystems (GCP, AWS, etc.).</li><li>
Proficient with data visualization software (preferably Tableau).</li><li>
Familiarity with GenAI, LLM and Agentic framework, with experience integrating LLM-based reasoning into ML-driven solutions.</li><li>
Comfortable collaborating with front-end developers or building light UI prototypes (e.g., Streamlit, React).</li><li>
Demonstrated strength in business communication and technical leadership, with the ability to clearly explain complex statistical and ML concepts to non-technical stakeholders in a way that builds trust and drives adoption.</li><li>
Experience solving retail or merchandising problems such as assortment &amp; space optimization, demand transfer, consumer choice models, demand forecasting.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Sr Data Scientist- Assortment and Space Planning (Core ML)

pro integrate solutions

Job description:Job Title: Data Moderator / Data CollectorOwn Vehicle and Laptop is requiredLocations:<ul><li>Atlanta, GA</li><li>Manhattan, NY</li><li>Brooklyn, NY</li><li>Las Vegas, NV</li></ul>Employment Type: W2 &ndash; Part-timePay Rate: $15 per hourSchedule:<ul><li>Mon&ndash;Fri: 5:00 PM &ndash; 9:00 PM</li><li>Sat &amp; Sun: 9:00 AM &ndash; 5:00 PM</li></ul>Own Vehicle is mandatoryAbout the RoleWe are seeking reliable and detail-oriented Data Moderators / Data Collectors to support on-site data collection projects for our client. This is an entry-level position that involves traveling to designated locations, guiding study participants through the data collection process, and ensuring all data is accurately recorded and uploaded.Key Responsibilities<ul><li>Travel to assigned locations to support on-site data collection activities.</li><li>Take clear, high-quality photographs and upload them to the client&rsquo;s portal.</li><li>Greet, brief, and assist study participants throughout the session.</li><li>Collect consent forms, demographic information, and payment details from participants and update trackers as required.</li><li>Moderate data collection sessions and ensure all procedures are followed.</li><li>Handle and maintain devices used for collection (phones, tablets, computers, etc.).</li><li>Follow instructions carefully and complete tasks accurately within required timelines.</li><li>Perform additional duties as assigned.</li></ul>Required Qualifications<ul><li>Must have a valid driver&rsquo;s license and reliable personal transportation.</li><li>Willingness to travel to multiple locations as scheduled.</li><li>Availability for evenings, weekends, and occasional overtime.</li><li>Basic knowledge of Microsoft Office 365 (Outlook, Excel, PowerPoint).</li><li>Comfortable with online communication tools and digital data entry.</li><li>Strong attention to detail and ability to complete repetitive tasks with consistent accuracy.</li><li>Ability to work independently while staying aligned with team processes.</li><li>Professional, organized, and reliable.</li></ul>What We&rsquo;re Looking ForWe are looking for someone who is dependable, punctual, comfortable interacting with study participants, and committed to maintaining data accuracy. This role is ideal for individuals seeking consistent part-time work with structured responsibilities.Job Types: Part-time, ContractWork Location: On the roadJob Type: ContractPay: $14.00 - $15.00 per hourExpected hours: 40 per weekWork Location: In person

Field Data Collector

Southern Company

<div>The position is responsible for quantitative analysis on structured pricing products and developing tools and models for forecast and valuation. This role maintains the existing quantitative models and provides detailed report on model results timely and accurately. The position is accountable for continuously improving models, analysis and database across different markets. The candidate must be able to develop and implement advanced modeling methodologies to foster company-wide business decision making. This position also requires establishing close working relationship with other teams across the enterprise.
This position may be filled as Data Analytics Analyst (Grade 4), Senior Data Analytics Analyst (Grade 5), or Staff Data Analytics Analyst (Grade 6). Individuals who demonstrate advanced skills in terms of work experience, education, and certifications may be eligible for the more advanced position.
Functional Expertise:
<ul><li><div>Analyze and organize key customer data for use in pricing and planning.
</div></li><li><div>Manage, improve, and validate existing predicative models, including the running of monthly reports that summarize key forecasting results to be used throughout the organization.</div></li>
<li><div>
Develop new statistical models to support special project analysis as requested.</div></li>
<li><div>
Leveraging innovative technologies such as machine learning and AI techniques to foster data analytical capability and support company growth strategy</div></li>
</ul>
Business Acumen:
<ul><li><div>Understand the importance of Data Analytics to the profitability of the company</div></li>
<li><div>
Constantly look for ways to improve the current models in multiple markets to mitigate potential model risks and enhance profitability</div></li>
<li><div>
Thorough knowledge of quantitative methods, statistical models, and optimization concepts and the ability to apply them to business situations</div></li>
<li><div>
Understand how data can be used and how data quality can be improved to discover and mitigate risks inherent in our business</div></li>
</ul>
Engagement:
<ul><li><div>Exhibit high level of personal responsibility to data analysis.</div></li>
<li><div>
Support internal and external auditing on models and analytics tools</div></li>
<li><div>
Collaborate with other teams to develop modeling tools and analysis reports and communicate projects results/status to appropriate audience</div></li>
<li><div>
Partner with management in decision making processes and influence the actions of others to ensure the achievement of business goals</div></li>
</ul>
Driving Results:
<ul><li><div>Collect, organize, and process complex data and information from multiple sources, verify its accuracy, and effectively build analytical models based on the data to enhance business profitability</div></li>
<li><div>
Drive efficiencies through continuous process improvement without implementing undue complexity</div></li>
<li><div>
May direct the work of other lower-level professionals</div></li>
</ul>
Education, Certifications/Licenses:
Required:
<ul><li>Bachelor&rsquo;s degree in mathematics, economics, engineering, or similar discipline.</li>
</ul>
Preferred:
<ul><li>Graduate degree in quantitative discipline</li>
</ul>
DATA ANALYTICS ANALYST (Grade 4)
Related Work Experience:
Required:
<ul><li>3-5 years&rsquo; experience in data analytics and database management</li>
</ul>
Preferred:
<ul><li><div>Utility, natural gas or other energy industry experience</div></li>
<li><div>
Experience with Databricks and/or AI Cloud-Based Solutions
</div></li></ul>Specific Skills &amp; Knowledge:
Required:
<ul><li><div>Advanced proficiency in MS Office Suite such as Excel</div></li>
<li><div>
Knowledge of data base management systems such as SQL Server or MySQL</div></li>
<li><div>
Proven record of experience working with large databases and use of statistical models for valuation and prediction.</div></li>
<li><div>
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.</div></li>
</ul>
SENIOR DATA ANALYTICS ANALYST (Grade 5)
Related Work Experience:
Required:
<ul><li><div>5-9 years&rsquo; experience in data gathering, analytics and reporting</div></li>
<li><div>
Proven track record of model creation and management in a business environment.</div></li>
<li><div>
Extensive experience in manipulating large databases using SQL and Azure</div></li>
</ul>
Preferred:
<ul><li><div>Utility, natural gas or other energy industry experience</div></li>
<li><div>
Hands on experience with Machine Learning, Artificial Intelligence, and/or Big Data</div></li>
<li><div>
Experience with Databricks and/or AI Cloud-Based Solutions
</div></li></ul>Specific Skills &amp; Knowledge:
Required:
<ul><li><div>Advanced proficiency in MS Office Suite such as Excel
</div></li><li><div>Knowledge of data base management systems such as SQL Server or MySQL.</div></li>
<li><div>
Proven record of experience working with large databases and use of statistical models for valuation and prediction.</div></li>
<li><div>
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.</div></li>
<li><div>
Experience with data visualization in Power BI or other comparable tools</div></li>
<li><div>
Demonstrate quantitative skills and ability to apply complex financial and statistical principles</div></li>
<li><div>
Hands on programming skills using Python</div></li>
</ul>
STAFF DATA ANALYTICS ANALYST (Grade 6)
Related Work Experience:
Required:
<ul><li><div>9+ years&rsquo; experience in data gathering, analytics and reporting</div></li>
<li><div>
Proven track record of model creation and management in a business environment.</div></li>
<li><div>
Extensive experience in manipulating large databases using SQL and Azure</div></li>
<li><div>
Hands on experience on Machine Learning, Artificial Intelligence, and/or Big Data
</div></li></ul>Preferred:
<ul><li><div>Utility, natural gas or other energy industry experience</div></li>
<li><div>
Experience with Databricks and/or AI Cloud-Based Solutions
</div></li></ul>Specific Skills &amp; Knowledge:
Required:
<ul><li><div>Advanced proficiency in MS Office Suite such as Excel and Access
</div></li><li><div>Knowledge of data base management systems such as SQL Server or MySQL.</div></li>
<li><div>
Proven record of experience working with large databases and use of statistical models for valuation and prediction.</div></li>
<li><div>
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.</div></li>
<li><div>
Experience with data visualization in Power BI or other comparable tools</div></li>
<li><div>
Demonstrate quantitative skills and ability to apply complex financial and statistical principles</div></li>
<li><div>
Technical leadership experience and programming skills using Python</div></li>
</ul>
Working Conditions/Physical Requirement:
The incumbent works in an office environment/on-site.
Disclaimer: This information describes the general nature and level of work performed by employees in this job. The description is not designed to be a comprehensive inventory of duties, responsibilities and qualifications required in the job. Reasonable accommodations may be made to qualified disabled individuals for performance of essential duties and responsibilities.
About Southern Company Gas
Southern Company Gas is a wholly owned subsidiary of Atlanta-based Southern Company (NYSE:SO), America&rsquo;s premier energy company. Southern Company Gas serves approximately 4.2 million natural gas utility customers through its regulated distribution companies in four states and approximately 600,000 retail customers through its companies that market natural gas. Other nonutility businesses include investments in interstate pipelines and ownership and operation of natural gas storage facilities. For more information, visit southerncompanygas.com .
Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com .
Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and beneﬁts will also be provided during the hiring process.
Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.
Job Identification: 17421
Job Category: Data Analytics
Job Schedule: Full time
Company: Southstar Energy Services</div>

Analyst, Data Analytics (All Levels)

Frame My Mirror

<div>
 
 
 Role Summary:
 
 
 
 This role is the backbone of our day-to-day e-commerce operations. You&rsquo;ll respond to customer questions, process orders across multiple platforms, and maintain clean, accurate records. You don&rsquo;t need deep e-commerce experience to start -
 
 you do need strong attention to detail, comfort learning new systems, and pride in doing things right the first time.
 
 
 
 
 &nbsp;
 
 
 
 
 About Frame My Mirror:
 
 
 
 At Frame My Mirror&reg;, we help customers transform their space without the cost or disruption of a full renovation. As the originators of Add A Frame&reg;, our DIY mirror framing kit designed to install directly onto an existing mirror, we make it easy for homeowners to achieve a high-end look with minimal effort.
 
 
 &nbsp;
 
 
 Our customers are DIY enthusiasts who value quality, simplicity, and smart design solutions. From thoughtfully engineered products to a dedicated support team, everything we do is focused on creating a seamless and confident experience from inspiration to installation.
 
 
 &nbsp;
 
 
 As our ecommerce business continues to grow, we are looking for driven individuals to join our team and help support the daily operations that keep our online channels running smoothly. If you enjoy working in a fast-paced environment, take pride in accuracy and customer experience, and want to grow alongside a collaborative team, we would love to meet you.
 
 
 &nbsp;
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 Customer Support (Phone + Written)
 
 
 <ul>
 <li>
 Respond to customer questions via email and phone with empathy, clarity, and accuracy
 </li>
 <li>
 Guide customers through product questions, ordering, shipping updates, and installation support
 </li>
 <li>
 Escalate issues appropriately and document outcomes clearly
 </li>
 <li>
 Manage online reviews and monitor customer experience trends
 </li>
 </ul>
 
 
 Order Processing &amp; Data Entry
 
 
 <ul>
 <li>
 Process and verify orders across channels (e.g., Amazon, Walmart, Wayfair and other channels)
 </li>
 <li>
 Update order records, addresses, and customer details with high accuracy
 </li>
 <li>
 Coordinate with the Operations team to ensure orders ship on time and exceptions are handled fast
 </li>
 </ul>
 
 
 Returns, Refunds, and Payments Support
 
 
 <ul>
 <li>
 Track returns/refunds/credits using internal logs and channel processes
 </li>
 <li>
 Managing payments and accounts receivable
 </li>
 <li>
 Basic reconciliation/reporting support
 </li>
 </ul>
 
 
 General Operations Support
 
 
 <ul>
 <li>
 Maintain internal trackers, templates, and documentation
 </li>
 <li>
 Identify repeated issues and suggest improvements to reduce errors and processing inefficiencies
 </li>
 </ul>
 
 &nbsp;
 
 
 
 In this role, you will succeed if you have:
 
 
 <ul>
 <li>
 Strong attention to detail with proven accuracy in transactional work and data entry
 </li>
 <li>
 Experience with spreadsheets (Excel/Google Sheets) and email tools (Outlook/Gmail)
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple priorities and meet deadlines
 </li>
 <li>
 A proactive, self-motivated mindset with a dependable &ldquo;get it done&rdquo; attitude
 </li>
 <li>
 Clear communication skills that support timely, confident customer responses and documentation
 </li>
 <li>
 A customer-first perspective with a focus on the overall customer experience
 </li>
 <li>
 Initiative and sound judgment while balancing independent work with team collaboration
 </li>
 <li>
 Comfort with structured, process-driven tasks in a growing small business environment
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Skills we
 
 
 
 hope
 
 
 
 you will bring:
 
 
 <ul>
 <li>
 High school diploma or equivalent (Bachelor&rsquo;s degree in Business, Communications or related field is a plus)
 </li>
 <li>
 Experience with QuickBooks, Order Management System, ShipStation
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Other important details:
 
 
 <ul>
 <li>
 Entry-level position with vast career advancement opportunities growing into a channel management role
 </li>
 <li>
 Annual salary range: $50,000 &ndash; $55,000, with opportunity to earn a performance-based bonus
 </li>
 <li>
 Paid vacation and holidays, 401K plan
 </li>
 <li>
 Training for professional development and skillsets
 </li>
 <li>
 Comprehensive benefit package including medical, dental, vision
 </li>
 </ul>
 
 &nbsp;
 
 
 
 EOE Male/Female/Disabled/Veteran. We welcome applications from Veterans and the Disabled.
 
 
 
 
 
 
 Contact:
 
 
 Caley Crawford
 
 
 
 Sr. eCommerce Manager
 
 
 
 800-331-6414
 
 
 caley@framemymirror.com
 
</div>

eCommerce Operations Specialist

<div>Position Purpose:
The Finance Business Services (FBS) team serves as a strategic and innovative partner focused on supporting business growth, as part of a world-class controllership organization.
 
The Senior FBS Analyst is responsible for the day to day activities for their tower (e.g., procure to pay (P2P), Order to Cash (OTC), or Record to Report (R2R)). This role partners with internal teams and external business partners to help resolve discrepancies and solve problems. Based on the specific FBS team, this role would need foundational skills in one or more specializations, such as accounts payable, accounts receivable, GL Entry, or financial reporting. In addition, Sr. Analysts may be responsible for the maintaining, filing, and/or distribution of required documentation for internal and external purposes. 
As a Sr. Analyst, you will work on departmental and strategic projects, collaborate with project/product managers, help more junior analysts, and balance your own workload. This role is expected to present continuous improvement insights and recommendations to managers and leaders. In addition, Sr. Analysts will collaborate with cross-functional teams, requiring effective communication skills, and the ability to manage competing priorities in a fast paced environment. 
Key Responsibilities:<ul><li>
5% Collaboration - Leverages prior experiences to help develop and recommend solutions</li><li>
Effectively develops trust and collaboration with internal customers and cross-functional teams in other towers</li><li>
Collaborates with appropriate team members to gather input and feedback concerning business needs</li><li>
Understands the technical needs required for successfully tackling business problems</li><li>
75% Operational Duties - Execute required tasks related to the delivery of the (PTP, OTC, RTR) tower</li><li>
Work coordinately with other teams providing or receiving information as needed</li><li>
Support work that needs to be done with internal or external customers.</li><li>
Interprets data contained in reports and ledgers</li><li>
Provides advice and analysis to increase the efficiency and improve the tasks that are done</li><li>
Supports the work of more junior analysts</li><li>
Resolves issues and problems related to their job function.</li><li>
Executes month end / year end processes</li><li>
Monitor and works towards meeting KPIs and SLAs defined for the area</li><li>
Assists FBS manager with building and interpreting analysis for providing insights to the business</li><li>
15% Project Management &amp; Team Support - Work with project teams and business partners to complete project goals</li><li>
Helps prioritize assignments and ensure quality and accuracy of work</li><li>
5% Skill Building &amp; Professional Development - Seek further knowledge on key developments and trends within finance (e.g., analytics, intelligent automation, robotics)</li><li>
Participate in the continuous improvement of financial shared services processes and tools</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Lead Analyst, Manager or Sr. Manager</li><li>
This Position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 

Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Conditions could produce mild discomfort on occasion.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
2-4 years of relevant work experience</li><li>
Proficient in Microsoft Office Suite or related software as well as other accounting software programs.</li><li>
Thorough understanding of accounting and / or finance principles and practices, statistical methodology, generally accepted accounting principles, and generally accepted auditing standards</li><li>
Ability to work independently and complete work on schedule within a fast-paced environment</li><li>
Ability to anticipate work needs and interact professionally with customers</li><li>
Excellent organizational skills and attention to detail</li><li>
Strong analytical, problem solving, and research skills</li><li>
Experience with data analytics / data visualization</li><li>
Experience with different innovative technologies like RPA, Machine Learning, Artificial Intelligence and Blockchain is highly desired</li><li>
Ability to prepare and present clear, concise administrative and financial reports</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
2</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Action Oriented</li><li>
Nimble Learning</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Instills Trust</li><li>
Optimizes Work Processes</li><li>
Builds Networks</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div>

Sr. Analyst, Order to Cash

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