data analyst, supply chain Jobs in Atlanta

data analyst, supply chain

analyst, data analytics (all levels) Jobs in Atlanta

analyst, data analytics (all levels)

analyst, inventory planning Jobs in Atlanta

analyst, inventory planning

analyst, supplier ops

asset protection business analyst Jobs in Atlanta

asset protection business analyst

business intelligence 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)

NOVOGRADAC & COMPANY

<div><div>Dare to bring your unique perspective?
At Novogradac, we value individuals who bring unique perspectives and bold ideas. If you&rsquo;re eager to contribute to an inclusive, innovative environment where your personal and professional growth is encouraged and supported, we invite you to explore this exciting opportunity with us.
Position Summary:
The Business Development Analyst transforms data into actionable insights that drive business development strategy, pipeline growth, and firm-wide sales performance. This role leads revenue and pipeline analytics, CRM reporting, and insight delivery to support strategic decision-making by business development and industry leaders. Operating as a key member of the Business Development Department, the Analyst partners cross-functionally with Marking and Innovation teams to ensure data is accurate, actionable, and aligned with firm growth priorities.
The firm has one available position in either Long Beach, CA, Austin, TX, Bellevue, WA, Portland, OR, Dover, OH, Atlanta, GA, or Cleveland, OH.
Essential Duties &amp; Responsibilities:
Revenue &amp; Pipeline Analytics<ul><li>
Develop dashboards and reports focused on pipeline, win/loss, cross-sell, and client service.</li><li>
Translate sales and business development (BD) questions into analytical models and visualizations.</li><li>
Partner with business development leaders, sales teams, and marketing to ensure insights are understood, actionable, and tied to specific follow-ups or campaigns.</li></ul>
Sales Enablement &amp; Insight Delivery<ul><li>
Support business development and sales users in interpreting dashboards, opportunity reports, and account plans in DealCloud CRM.</li><li>
Create and maintain standard reports, scorecards, and views that industry leaders can use in pipeline reviews, account reviews, and leadership meetings.</li></ul>
CRM, Collaboration &amp; Governance Support<ul><li>
Partner with the Innovation Team analysts and CRM owners to ensure alignment between analytics, data models, and CRM structures.</li></ul>
Continuous Improvement &amp; Automation<ul><li>
Gather feedback from business development, sales, and marketing stakeholders on the usefulness and usability of analytics and tools.</li><li>
Recommend improvements to dashboards, scorecards, and visual design to make it easier for sellers and BD professionals to take action.</li><li>
Identify opportunities to automate recurring sales and BD analyses (pipeline reviews, forecast snapshots, campaign follow-up lists) and reduce manual entry and reporting.</li></ul> 
Knowledge, Skills, Abilities:<ul><li>
Strong skills in data visualization and analytical reasoning, especially in revenue, sales, or BD context.</li><li>
Working knowledge of BI tools (e.g., Power BI or similar)</li><li>
Excellent verbal and written communication skills</li><li>
Superior organizational and follow-through skills, performing work accurately with strong attention to detail</li><li>
Ability to meet deadlines and effectively prioritize a fast-paced and varied workload, effectively managing a variety of concurrent and shifting prioritiesStrong computer skills, including Microsoft Office suite, in particular with Excel</li><li>
Ability to adapt to changing work demands with flexibility</li><li>
 Strong analytical thinking and problem-solving capabilities, with the ability to assess complex situations and develop effective solutions</li><li>
Ability to work independently as well as part of a team</li></ul> 
Minimum Qualifications:
Bachelor&rsquo;s degree in Business Administration, Information Systems, or a related field plus at least 3-5 years of experience in analytics, reporting, business intelligence, or revenue/sales operations roles. Demonstrated experience with CRM administration and reporting (e.g. Salesforce, DealCloud) is required, including the ability to create reports, duplicate detection processes, workflows, and executive dashboards.
Preferred Qualifications:
Professional certification in Salesforce administration or a comparable CRM platform. Prior experience at a professional services firm.
Why work with us?
Novogradac is committed to fostering a welcoming workplace where all employees feel valued and empowered to grow. We believe in offering a supportive, balanced work environment that encourages professional growth and work-life integration.
We are proud to offer:<ul><li>
Increased number of paid holidays per year</li><li>
Competitive salaries with continuous review of market conditions</li><li>
Flexible working hours and work arrangements</li><li>
Remote and hybrid opportunities</li><li>
Inclusive workplace, providing strong professional growth and development opportunities</li></ul>
The benefits of joining our team<ul><li>
Strong growth opportunities</li><li>
Competitive benefits package</li><li>
401(k) package with firm profit-sharing</li><li>
Strong emphasis on quality work-life integration</li><li>
Dress for your day policy</li><li>
Resources of a national firm</li><li>
Opportunities to engage with our active Employee Resource Groups (ERGs), affinity groups, and advance your career within a supportive, inclusive environment</li><li>
Compensation: $79,000 to $107,000 depending on experience. More is possible if experience dictates.</li></ul>
Don't meet every single qualification?
After reviewing this job posting, are you hesitating to apply because you don&rsquo;t meet all the listed requirements? At Novogradac, we are dedicated to building a workplace supported by unique perspectives and experiences, so if you&rsquo;re excited about this role but your experience doesn&rsquo;t align perfectly with every qualification in the job description, we still encourage you to apply.
You may still be the right candidate for this or one of our other roles.
Get to know us better!
We&rsquo;re Novogradac, a national certified public accounting and consulting firm headquartered in San Francisco. Founded in 1989, the allied group of Novogradac companies has grown to more than 800 employees and partners with more than 25 offices throughout the country.
Novogradac is one of the nation&rsquo;s top 40 certified public accounting and consulting firms and is a recognized leader in real estate and community development. Novogradac provides publicly and privately held national enterprises with a full spectrum of audit, tax, valuation, expert witness and litigation support, property compliance and general consulting services and works extensively in the affordable housing, community development, historic preservation and renewable energy fields.
Ready to learn more?
To be considered for this position, interested candidates MUST apply via our company website: https://www.novoco.com/careers.
Commitment to Inclusion
Novogradac is committed to ensuring a fair and inclusive recruitment process, making reasonable accommodations to individuals with disabilities or special needs throughout the application process. We encourage applicants from all backgrounds, identities, and experiences to apply, as we believe that unique perspectives strengthen our ability to achieve excellence.
At Novogradac, we offer a variety of Employee Resource Groups and Affinity Groups to provide all employees with opportunities to connect, collaborate, and support one another in the workplace.
Novogradac &amp; Company LLP offers a progressive work environment, competitive pay and an excellent benefits package including medical, dental, vision, paid time off, life/disability insurance, commuter flex accounts and a 401(k).
Novogradac and Company LLP is an equal opportunity employer. Novogradac&rsquo;s culture is centered on education, acceptance, innovation and opportunity. We value diversity and respect the different perspectives that each of our employees bring to Novogradac no matter their age, race, religion, gender identity or sexual orientation. We are committed to creating an equitable and inclusive workplace for our entire workforce.
By submitting an application with us, you are providing Novogradac with personal information. More information on how we use your personal information may be found in our Privacy Notice at Collection.</div></div>

Business Development Analyst

AT&T

<div>This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
Overview
GrowthHub is a new platform designed to help ATS employees unlock their full potential. GrowthHub provides personalized insights into skills and recommended growth opportunities tailored to each individuals unique journey in ATS. ATS is building this platform to invest in individual development and ensure employees have the resources and support to achieve their career aspirations. In GrowthHub, employees will be able to validate their skills, add new skills, choose where they want to grow, build their own growth plan, and equip themselves to proactively evolve their skills for future ATS initiatives.
What You'll Do: 
As a Lead Data Analyst, you will drive data-driven decision-making by leading the analysis and interpretation of complex datasets, ensuring high-quality insights that support strategic business initiatives and operational efficiency.<ul><li>
Lead data analysis to deliver actionable insights.</li><li>
Design and implement data analysis methodologies to solve business problems.</li><li>
Collaborate with cross-functional teams to understand data needs and deliver tailored analytics solutions.</li><li>
Develop dashboards, reports, and visualizations to communicate findings effectively to stakeholders.</li><li>
Ensure data integrity, accuracy, and consistency across reporting platforms.</li><li>
Identify trends, patterns, and anomalies in data to guide strategic planning.</li><li>
Stay current with industry trends and best practices in data analysis and visualization tools.</li></ul>
What You'll Bring:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or related field.</li><li>
Extensive experience in data analysis, preferably in a leadership role.</li><li>
Proficiency in SQL, Python/R, and data visualization tools such as Tableau or Power BI.</li><li>
Strong analytical thinking, problem-solving skills, and attention to detail.</li><li>
Excellent communication skills to translate complex data into clear business insights.</li></ul>
Our Lead Data Analyst, earns between $116,700.00 - $175,100.00 USD Annual, not to mention all the other amazing rewards that working at AT&amp;T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
<ul><li>Medical/Dental/Vision coverage</li><li>
401(k) plan</li><li>
Tuition reimbursement program</li><li>
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)</li><li>
Paid Parental Leave</li><li>
Paid Caregiver Leave</li><li>
Additional sick leave beyond what state and local law require may be available but is unprotected.</li><li>
Adoption Reimbursement</li><li>
Disability Benefits (short term and long term)</li><li>
Life and Accidental Death Insurance</li><li>
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal</li><li>
Employee Assistance Programs (EAP)</li><li>
Extensive employee wellness programs</li><li>
Employee discounts up to 50% off on eligible AT&amp;T mobility plans and accessories, AT&amp;T internet (and fiber where available) and AT&amp;T phone.</li></ul>
#LI-Onsite &ndash; Full-time office role-
 AT&amp;T is leading the way to the future &ndash; for customers, businesses, and the industry. We're developing new technologies to make it easier for our customers to stay connected to their world. Together, we&rsquo;ve built a premier integrated communications and entertainment company and an amazing place to work and grow. Team up with industry innovators every time you walk into work, creating the world you always imagined. Ready to #transformdigital with us?
Apply now!
Weekly Hours:
40
Time Type:
Regular
Location:
USA:GA:Atlanta / 1057 Lenox Park Blvd Ne - Adm:1057 Lenox Park Blvd Ne
Salary Range:
$116,700.00 - $175,100.00
It is the policy of AT&amp;T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&amp;T will provide reasonable accommodations for qualified individuals with disabilities. AT&amp;T is a fair chance employer and does not initiate a background check until an offer is made.</div>

Lead Data Analyst

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:
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 or PHD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of work experience in developing machine learning / AI models to solve business problems</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Proficient in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</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><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>
Working knowledge of Microsoft Excel and Power Point</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

<div>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 - Inventory Anomaly Detection

DATA SCIENTIST - SUPPLY CHAIN

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