analyst, data analytics (all levels) Jobs in Atlanta

analyst, data analytics (all levels)

branch small business compliance analyst Jobs in Atlanta

branch small business compliance analyst

data analyst, supply chain Jobs in Atlanta

data analyst, supply chain

senior data engineer

senior program manager

senior data mining analyst

The Home Depot

<div>Position Purpose:
As a Senior Analyst on the Online Experimentation Team, you will help cross-functional stakeholders examine new ideas by formulating hypotheses and designing experiments to test those hypotheses - translating problem statements into experiment requirements, allowing them to accurately quantify the impact of their features. You will monitor and evaluate experiment results to measure impact and inform future strategies. You will continuously stay up to date with industry trends and best practices in experimentation and personalization.
Key Responsibilities:<ul><li>
65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.</li><li>
10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.</li><li>
5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues.</li><li>
15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.</li><li>
5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Manager</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</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 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Expand descriptive and prescriptive analysis for experimentation: Enhance data capture for experiments. Conduct in-depth analyses to identify patterns and trends. Apply advanced statistical methods to recommend actionable insights that clarify impacts and resolve discrepancies. Set standards and guidelines for process and analysis.</li><li>
Effective Storytelling with Data: Create visualizations and compelling narratives for complex situations and trends; tailoring explanations to a variety of audiences.</li><li>
ML &amp; AI for experimentation: Automate and enable more intuitive data querying and analysis. Explore various tools to enhance team capabilities. Develop scalable frameworks to detect recurring patterns across experiments.</li><li>
Effective Communication &amp; Collaboration: Comfortable with collaborating with team members and cross-functional partners.</li><li>
Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience</li><li>
6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting</li><li>
Demonstrated expertise on data analysis and data visualization</li><li>
Demonstrated expertise on how to translate analysis into effective presentations</li><li>
Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems</li><li>
Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations</li><li>
Produce deep, statistical analysis in service of predictive insights</li><li>
Ability to partner with requesting organizations to build KPI frameworks</li><li>
Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML</li><li>
Ability to visualize data using Tableau</li><li>
Experience managing multiple projects and working in a fast-paced environment</li><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>
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> 
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>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
6</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Online Senior Decision Analyst – Experimentation

<div>
 Req167731
 
 
 
 Position Purpose
 
 
 
 A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new 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 seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
 </li>
 <li>
 20% Executes existing reporting and analytical responsibilities
 </li>
 <li>
 20% Ensures the quality of work output by displaying a keen attention to detail
 </li>
 <li>
 20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture
 </li>
 <li>
 10% Develops additional technical competencies and subject matter expertise within core functional group
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position reports to Manager or Sr 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>
 2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
 </li>
 <li>
 An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)
 </li>
 <li>
 Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)
 </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>
 <li>
 Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.
 
 
 </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>
 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>
 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>

Sr. Data Analyst

<div>Position Purpose:
A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new 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 seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists. 
Key Responsibilities:<ul><li>
30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests</li><li>
20% Executes existing reporting and analytical responsibilities</li><li>
20% Ensures the quality of work output by displaying a keen attention to detail</li><li>
20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture</li><li>
10% Develops additional technical competencies and subject matter expertise within core functional group</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to Manager or Sr 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>
2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)</li><li>
Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)</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><li>
Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.</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>
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>
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>

<div>Position Purpose:
The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business.
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% 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; Ensure best practices and vision for data analysis and model production are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% 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><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul> 
Preferred Qualifications:<ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</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>
10</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>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</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 Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Sr Manager, Data Science - Online

Oscar Health

<div>Hi, we're Oscar. We're hiring a Senior Analyst, Provider Data Operations to join our Provider Data Operations team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.

About the role:

You will be responsible for ensuring Oscar's provider data is maintained consistently and managing critical/complex data escalations to resolution. Key responsibilities include processing provider and facility rosters, data transformation, and supporting updates to provider records. This role involves regular communication with providers via email to confirm request completion, obtain additional information, and address follow-up inquiries. You will also collaborates with internal teams by triaging, remediating, and analyzing root causes.

You will report into the Provider Operations Lead.

Work Location: This is a remote position, open to candidates who reside in: Arizona; Florida; Georgia; or Texas. While your daily work will be completed from your home office, occasional travel may be required for team meetings and company events. #LI-Remote

Pay Transparency: The base pay for this role is: $61,851 - $81,180 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:
<ul>
<li>Maintain existing and incoming provider demographic information to ensure accuracy and quality of the network by supporting run-state, repeatable issues of moderate complexity</li>
<li>Manage ingestion of provider data while maintaining service delivery, productivity, and quality expectations</li>
<li>Surface various provider issues within standard operating procedure through proactive identification, measurement, and monitoring of our operations and provide feedback to reduce errors, improve processes, and performance</li>
<li>Build training materials, update workflows, and support team lead or SME in coaching</li>
<li>Support driving and tracking business decisions, develop root cause analyses and reports for review by team leads and SMEs</li>
<li>Assist in developing and maintaining standards for quality assurance, leading corrective activities and manage communication processes with other departments regarding improvements.</li>
<li>Escalate and resolve provider data issues to ensure appropriate turnaround times</li>
<li>Support team members of all levels through provider data escalation research and resolution</li>
<li>Drive decisions within standard operating procedures</li>
<li>Effectively communicate findings and resolutions with key stakeholders internally and/or externally</li>
<li>Manage queue work and assigned caseload through effective dashboard management while ensuring integrity of information entered into company and/or external systems</li>
<li>Other duties as assigned</li>
</ul>
Requirements:
<ul>
<li>2+ years of work experience in healthcare working with provider data management</li>
<li>2+ years of intermediate Excel/Google Sheet proficiency</li>
<li>2+ years of assessing and comprehending end to end process impact</li>
<li>2+ years experience analyzing datasets and troubleshooting basic data nuances</li>
<li>2+ years of inventory management queue experience</li>
</ul>
Bonus points:
<ul>
<li>2+ years of intermediate proficiency in SQL, BigQuery or similar database language experience</li>
<li>Prior work experience in tech and/or healthcare</li>
<li>Proficiency with non Microsoft business platforms</li>
<li>Proficiency in using a credentialing or provider data repository</li>
<li>Experience working with large datasets, data verification, data management, data modeling</li>
<li>Experience with healthcare data such as provider and/or claims data</li>
</ul><div>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</div></div>

Senior Analyst, Provider Data Operations

<div>Position Purpose:
A Logistics Sr. Analyst uses analytical methods and a variety of tools to understand, predict, improve and/or control Logistics operations and processes for our Deliver from Store capabilities. Sr. Logistics Analysts are responsible for data management, analyzing performance, identifying problems, and developing recommendations that support the business. Solves problems by considering courses of action within the framework of business goals and standards. Operates with minimal supervision and once given general assignments, prioritizes and executes tasks. Provides and communicates recommendations to upper management. Mentors and guides Logistics Analysts in daily work tasks. Must be a self-starter, detail oriented, able to support and lead multiple projects, possess excellent communication skills, work well with a team, interact with multiple levels and functions with the delivery organization, and able to manage vendor/business relationships. Related projects for a Senior Logistics Analyst supporting Delivery Operations spends the day analyzing data within various applications to validate delivery windows, investigate early/late compliance issues, and resolve operational escalations. Responsible for routinely writing and maintaining SQL queries in BigQuery, producing analytical outputs (e.g., early‑reduction reporting, carrier scorecards, CSAT and miss analyses), and sharing clear findings with leadership. Day to day work is highly cross‑functional&mdash;collaborating closely with BI, and field teams to reconcile data discrepancies, support decision‑making, and adjust reporting logic as needed&mdash;while also participating in recurring cadences such as EOW recaps, business reviews, and weekly touch bases to align on priorities and outcomes. 
Key Responsibilities:<ul><li>
25% Utilizes quantitative skills to create and analyze reports to support business execution. Supports the business through ad-hoc queries, and maintains reports from a variety of resources as specific to department or organizational needs</li><li>
25% Develops business tools and solutions based on knowledge, product or technology. Identifies Logistics process improvement opportunities through strategic thinking, critical thinking and analysis</li><li>
20% Provides recommendations to senior management. Mentors and guides Logistics Analysts</li><li>
20% Performs data management through data mining/data modeling/data analysis/cost/benefit analysis/process mapping/%/or problem analysis while executing day to day processes related to area of responsibility. Develops &amp; maintains cost estimates, forecasts, and cost models. Supports business through ad-hoc queries &amp; maintains reports</li><li>
10% Manages vendor/business partner relationships</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Manager of Sr 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:<div><ul><li>
Engineering, Business Administration, Math or Finance Degree, Computer Science</li></ul></div><div><ul><li>
Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Word</li></ul></div><div><ul><li>
Advanced Skills in: GBQ, SQL, Tableau, Visual Basic Skills for Data Acquisition and Analysis</li></ul></div><div><ul><li>
Project Management Skills</li></ul></div><div><ul><li>
Experience with Six Sigma or other Process Improvement Methodology</li></ul></div> 
 
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>
None</li></ul></div>

Sr. Logistics Analyst

<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, Supply Chain

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