analyst, data analytics (all levels) Jobs in Atlanta

analyst, data analytics (all levels)

data analyst, supply chain Jobs in Atlanta

data analyst, supply chain

financial analyst

real estate analyst

senior data engineer

data analytics analyst

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)

SouthStar Energy Services

<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>
 Analyze and organize key customer data for use in pricing and planning.
 </li>
 <li>
 Manage, improve, and validate existing predicative models, including the running of monthly reports that summarize key forecasting results to be used throughout the organization.
 </li>
 <li>
 Develop new statistical models to support special project analysis as requested.
 </li>
 <li>
 Leveraging innovative technologies such as machine learning and AI techniques to foster data analytical capability and support company growth strategy
 
 
 </li>
 </ul>
 
 
 Business Acumen:
 
 
 
 
 <ul>
 <li>
 Understand the importance of Data Analytics to the profitability of the company
 </li>
 <li>
 Constantly look for ways to improve the current models in multiple markets to mitigate potential model risks and enhance profitability
 </li>
 <li>
 Thorough knowledge of quantitative methods, statistical models, and optimization concepts and the ability to apply them to business situations
 </li>
 <li>
 Understand how data can be used and how data quality can be improved to discover and mitigate risks inherent in our business
 
 
 </li>
 </ul>
 
 
 Engagement:
 
 
 
 
 <ul>
 <li>
 Exhibit high level of personal responsibility to data analysis.
 </li>
 <li>
 Support internal and external auditing on models and analytics tools
 </li>
 <li>
 Collaborate with other teams to develop modeling tools and analysis reports and communicate projects results/status to appropriate audience
 </li>
 <li>
 Partner with management in decision making processes and influence the actions of others to ensure the achievement of business goals
 
 
 </li>
 </ul>
 
 
 Driving Results:
 
 
 
 
 <ul>
 <li>
 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
 </li>
 <li>
 Drive efficiencies through continuous process improvement without implementing undue complexity
 </li>
 <li>
 May direct the work of other lower-level professionals
 
 
 </li>
 </ul>
 
 
 Required:
 
 
 
 
 
 Education, Certifications/Licenses:
 
 
 
 <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)
 
 
 
 
 
 Required:
 
 
 
 
 
 Related Work Experience:
 
 
 
 <ul>
 <li>
 3-5 years&rsquo; experience in data analytics and database management
 
 
 </li>
 </ul>
 
 
 Preferred:
 
 
 
 
 <ul>
 <li>
 Utility, natural gas or other energy industry experience
 </li>
 <li>
 Experience with Databricks and/or AI Cloud-Based Solutions
 
 
 </li>
 </ul>
 
 
 Required:
 
 
 
 
 
 Specific Skills &amp; Knowledge:
 
 
 
 <ul>
 <li>
 Advanced proficiency in MS Office Suite such as Excel
 </li>
 <li>
 Knowledge of data base management systems such as SQL Server or MySQL
 </li>
 <li>
 Proven record of experience working with large databases and use of statistical models for valuation and prediction.
 </li>
 <li>
 Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.
 
 
 </li>
 </ul>
 
 SENIOR DATA ANALYTICS ANALYST (Grade 5)
 
 
 
 
 
 Required:
 
 
 
 
 <ul>
 <li>
 5-9 years&rsquo; experience in data gathering, analytics and reporting
 </li>
 <li>
 Proven track record of model creation and management in a business environment.
 </li>
 <li>
 Extensive experience in manipulating large databases using SQL and Azure
 
 
 </li>
 </ul>
 
 
 Preferred:
 
 
 
 
 <ul>
 <li>
 Utility, natural gas or other energy industry experience
 </li>
 <li>
 Hands on experience with Machine Learning, Artificial Intelligence, and/or Big Data
 </li>
 <li>
 Experience with Databricks and/or AI Cloud-Based Solutions
 
 
 </li>
 </ul>
 
 
 Required:
 
 
 
 
 <ul>
 <li>
 Advanced proficiency in MS Office Suite such as Excel
 </li>
 <li>
 Knowledge of data base management systems such as SQL Server or MySQL.
 </li>
 <li>
 Proven record of experience working with large databases and use of statistical models for valuation and prediction.
 </li>
 <li>
 Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.
 </li>
 <li>
 Experience with data visualization in Power BI or other comparable tools
 </li>
 <li>
 Demonstrate quantitative skills and ability to apply complex financial and statistical principles
 </li>
 <li>
 Hands on programming skills using Python
 
 
 </li>
 </ul>
 
 STAFF DATA ANALYTICS ANALYST (Grade 6)
 
 
 
 
 
 Required:
 
 
 
 
 <ul>
 <li>
 9+ years&rsquo; experience in data gathering, analytics and reporting
 </li>
 <li>
 Proven track record of model creation and management in a business environment.
 </li>
 <li>
 Extensive experience in manipulating large databases using SQL and Azure
 </li>
 <li>
 Hands on experience on Machine Learning, Artificial Intelligence, and/or Big Data
 
 
 </li>
 </ul>
 
 
 Required:
 
 
 
 
 <ul>
 <li>
 Advanced proficiency in MS Office Suite such as Excel and Access
 </li>
 <li>
 Knowledge of data base management systems such as SQL Server or MySQL.
 </li>
 <li>
 Proven record of experience working with large databases and use of statistical models for valuation and prediction.
 </li>
 <li>
 Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.
 </li>
 <li>
 Experience with data visualization in Power BI or other comparable tools
 </li>
 <li>
 Demonstrate quantitative skills and ability to apply complex financial and statistical principles
 </li>
 <li>
 Technical leadership experience and programming skills using Python
 
 
 </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 bene&filig;ts 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>

Matlen Silver

<div>
 
 Job Title:
 
 &nbsp;Data Analyst &ndash; Agile Analytics &amp; Data Governance (Contract)
 
 
 Location:
 
 &nbsp;Atlanta, GA (ONSITE)
 
 
 Interview:
 
 &nbsp;ONSITE
 
 
 Work Mode:
 
 &nbsp;5 Days Onsite
 
 
 Work Authorization:
 
 &nbsp;USC/GC Only
 
 
 
 Overview:
 
 
 Seeking a detail-oriented Data Analyst to support Agile initiatives in a fast-paced enterprise environment. The role focuses on SQL-driven analytics, data governance, reporting optimization, and stakeholder collaboration.
 
 
 
 Key Responsibilities:
 
 
 &bull; Build and enhance reporting solutions for business teams
 
 &bull; Perform data analysis using SQL and Google BigQuery
 
 &bull; Support Agile workflows, intake processes, and analytics delivery
 
 &bull; Collaborate with stakeholders to gather requirements and drive insights
 
 &bull; Improve data quality, validation, and governance practices
 
 
 
 Required Skills:
 
 
 &bull; Strong&nbsp;
 
 SQL
 
 &nbsp;and&nbsp;
 
 Google BigQuery (GBQ)
 
 &nbsp;experience
 
 &bull; Exposure to&nbsp;
 
 Python
 
 &nbsp;for analysis or automation
 
 &bull; Experience working in&nbsp;
 
 Agile environments
 
 
 &bull; Familiarity with&nbsp;
 
 Jira, Atlassian, Smartsheet, Asana
 
 , or similar tools
 
 &bull; Strong communication and stakeholder management skills
 
 
 
 Preferred Background:
 
 
 Retail, ecommerce, supply chain, consumer goods, enterprise tech, or digital transformation environments.
 
 
 Work Arrangement:
 
 
 Contract role supporting high-visibility enterprise analytics initiatives.
 
</div>

Data Analyst – Agile Analytics & Data Governance (ONSITE ROLE & ONSITE INTERVIEW | USC/GC ONLY ON W2 |

The Home Depot

<div>Position Purpose:
A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively with other analysts to apply established analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeking out opportunities to hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and learn new skills. Operates under the supervision and mentorship of more experienced managers and data scientists. 
Key Responsibilities:<ul><li>
30% Executes existing reporting and analytical responsibilities</li><li>
20% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests</li><li>
20% Ensures the quality of work output by displaying a keen attention to detail</li><li>
20% Develops additional technical competencies and subject matter expertise within core functional group</li><li>
10% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This postion reports to Manager</li><li>
This position has no 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>
Work experience with SQL Server, Teradata, Oracle, or comparable database systems</li><li>
1-3 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)</li><li>
B.S. in Computer Science, Math, Engineering, Finance or related quantitative field</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>
0</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>
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.</li><li>
An unquenchable intellectual curiosity for getting at the underlying story being told within the data.</li><li>
Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.</li><li>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Ability to quickly learn and adapt to new technologies, tools, and techniques.</li></ul></div>

Data Analyst - Solutions Strategy, Analytics

Bright Vision Technologies

<div>
 Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and high-performance applications.
 
 
 As we continue to grow, we&rsquo;re looking for a skilled
 
 Data Analyst
 
 to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
 
 
 We are looking for
 
 OPT / CPT / H4 EAD / TN / E3 or any other Non-Immigrant visa candidates
 
 who are looking for
 
 H-1B sponsorship for the 2027 quota
 
 .
 
 
 
 Company:
 
 Bright Vision Technologies (www.bvteck.com)
 
 
 
 Job Title:
 
 Data Analyst
 
 
 
 Job Location:
 
 Bridgewater, New Jersey &ndash; 08807
 
 
 
 Onsite/Hybrid:
 
 Remote
 
 
 
 Employment Type:
 
 FULL-TIME ROLE WITH BRIGHT VISION (W2)
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Analyze large and diverse data sets to identify trends and patterns
 </li>
 <li>
 Develop and maintain comprehensive dashboards and reports
 </li>
 <li>
 Work closely with business units to understand data needs and provide actionable insights
 </li>
 <li>
 Ensure data accuracy and integrity through meticulous data validation
 </li>
 <li>
 Mentor junior analysts and contribute to the development of data strategies
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics, Statistics, Computer Science, or a related field
 </li>
 <li>
 3-5+ years of experience in data analysis
 </li>
 <li>
 Expertise in SQL, Excel, and data visualization tools (Tableau, Power BI)
 </li>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 
 BUT STRICTLY NO C2C / 1099 / THIRD-PARTY COMPANIES. ALL OUR ROLES ARE W2 ONLY. NO THIRD-PARTY BROKERING.
 
 
 
 For every role, a
 
 coding test is required
 
 , so apply only if you are confident and technically strong.
 
 
 We prefer
 
 at least 3 to 5 years
 
 of real-time experience.
 
 
 If you are a
 
 Data Analyst
 
 with the above skills and are looking for
 
 H-1B sponsorship
 
 , please send your resume immediately to
 
 sairaj
 
 
 @bvteck.com
 
 .
 
 
 We are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.
 
 
 
 Position offered by &ldquo;No Fee Agency.&rdquo;
 
 
 
 Equal Employment Opportunity (EEO) Statement
 
 
 Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
 
 
 BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
 
 
 Powered by JazzHR
 
 
 DORzQXIMmR
</div>

Data Analyst

<div>Data Quality Analyst - GenAI
Be part of something groundbreaking
At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help.
With the support and investment needed to explore new frontiers in generative AI, you&rsquo;ll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers.
This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you&rsquo;re excited by the opportunity to create meaningful impact at scale, we&rsquo;d love to hear from you.
Who we are
As a world leader in commercial and personal insurance solutions operating in over 70 countries and jurisdictions, AIG&rsquo;s Global Business Operations &amp; IT team identifies and drives high-quality innovation and cost efficiency in all our processes, systems and operations. The organization ensures we operate as one globally consistent business delivering end-to-end services locally that contribute to our customers&rsquo; and AIG&rsquo;s success.
We are seeking a detail-oriented Data Quality Analyst to support a strategic data quality initiative. This role is embedded within a development team and is critical for proactively identifying and preventing data issues. By ensuring data meets business rules and quality expectations, you will help prevent project delays, increase user trust, and reduce costs, ensuring smoother deployments and better outcomes for both the development team and end-users.
How you will create an impact
As part of the Data Management and Governance team, the Data Quality Analyst will:<ul><li>
Conduct comprehensive data profiling on all source systems (e.g., Snowflake, Foundry, Excel) to identify data characteristics and anomalies.</li><li>
Identify, analyze, and document patterns, inconsistencies, and rule violations within datasets.</li><li>
Work closely with development and data quality teams to define, refine, and validate data rules.</li><li>
Raise, track, and manage data issues that could impact application trust, scalability, or downstream processing.</li><li>
Provide continuous feedback loops to the development team during the development lifecycle, surfacing defects early.</li><li>
Collaborate with various Data Offices and Data Quality (DQ) teams to understand and apply existing business rules.</li><li>
Ensure the consistency and integrity of data quality practices.</li><li>
Contribute to long-term efforts in improving data quality and integrity across all systems.</li></ul>
What you&rsquo;ll need to succeed<ul><li>
Proven experience working with large datasets in platforms like Microsoft Excel, Snowflake, and Foundry.</li><li>
Strong analytical mindset and an exceptional attention to detail.</li><li>
The ability to &quot;rip into a spreadsheet&quot; to surface insights and discrepancies.</li><li>
Experience in data profiling or data quality analysis is highly preferred.</li><li>
Comfortable working cross-functionally with developers, product leads, and business users.</li></ul>
Preferred Traits include<ul><li>
Curious and persistent in finding the &quot;why&quot; behind data inconsistencies.</li><li>
A self-starter who enjoys solving data puzzles and embraces new challenges.</li><li>
Capable of ramping up quickly on new systems and business domains.</li><li>
Interested in making a strategic, long-term impact on the company's data assets.</li></ul>
#LI-AIG
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.
Enjoy benefits that take care of what matters
At AIG, our people are our greatest asset. We know how important it is to protect and invest in what&rsquo;s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security&mdash;as well as your professional development&mdash;to bring peace of mind to you and your family.
Reimagining insurance to make a bigger difference to the world
American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world&rsquo;s most far-reaching property casualty networks. It is an exciting time to join us &mdash; across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.
Welcome to a culture of inclusion
We&rsquo;re committed to creating a culture that truly respects and celebrates each other&rsquo;s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG&rsquo;s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.
AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.
AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.
<div><div><div><div><div><div><div>Functional Area:</div></div></div></div></div></div></div>
DT - Data
AIG PC Global Services, Inc.</div>

Data Quality Analyst - GenAI

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

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