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business analytics manager

The Home Depot

<div><div>Position Purpose:
This Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms and partnering with cross-functional teams to deliver high quality analytics solutions for the Home Depot. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights, with a passion to learn and develop.
The PLA Pricing team develops pricing and yield optimization systems which support Orange Apron Media's (OAM's) Product Listing Ad (PLA) business. This involves statistical and ML solutions written in Python &amp; SQL. These solutions are then orchestrated at scale using Google Cloud Platform services such as Dataform and Composer.
This role interfaces heavily with the Strategy, Product, and Engineering teams that also support the PLA business. Strong technical communication skills are needed for collaboration and to translate business asks into technical deliverables. 
Key Responsibilities:<ul><li>
40% Collaborate with stakeholders, business partners, colleagues, developers and business analysts to deliver high quality analytics solutions</li><li>
45% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Sr Manager, Decision Analytics.</li><li>
This position has 1 direct report</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Data Science, Finance, or related field is preferred</li><li>
Five to seven years of experience in analytics is preferred</li><li>
Experience with SQL and Python</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>
4</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> 
Apply End Date: 04/27/2026</div>

Manager, Quant Research - PLA Pricing

<div>Position Purpose:
The Manager, Analytics &amp; Workforce Optimization leads the analytical, reporting, workforce planning, and applied data science functions that power operational decision-making across HDES. This role serves as both a producer of high‑impact analytical work and a leader for one Analyst. The manager owns HDES&rsquo; operational dashboards, workflow modeling, workforce‑management insights, forecasting support, and optimization analytics enabling performance, productivity, and service reliability. 
Key Responsibilities:<ul><li>
Analyze the fundamental components of problems and communicate the correct course of action to the team and the resolution to the field.</li><li>
Develop and implement changes that improve overall store operations processes that are likely to add value to the stores' bottom line. Manage/drive core store operations projects and/or process improvements.</li><li>
Manage day to day processes related to their areas of responsibility. Create and maintain project work plans.</li><li>
Manage issues and roadblocks that arise related to their area of responsibility.</li><li>
Respond proactively to unanticipated store needs arising out of a variety of inputs. Manage action steps necessary for successful execution of both strategic projects/initiatives and process improvement.</li><li>
Communicate effectively and build strong, effective partnerships with the field/stores and throughout The Home Depot.</li><li>
Prepare and deliver high-level insights and recommendations based on multiple analyses of industry/ business, competitive landscape, consumer data for area of expertise.</li><li>
Provide guidance and training specific to area of expertise. Assist in collaborating findings from data and making verbal/written recommendations. Demonstrate proficiency/understanding of specific processes.</li><li>
Maintain knowledge base regarding specific operations and processes within store operations</li><li>
Responsible for appropriate selection, terminations, performance appraisal and professional development of support team (Business Analysts).</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Direct and indirect reports typically include 2-5 Business Analysts.</li><li>
Typically requires frequent persuasion or influencing of others. Usually assigns and reviews work of others.</li><li>
Typically procedures for analyzing situations and making conclusions are very diverse.</li><li>
Typically considers among many different options or procedures when solving problems.</li><li>
Typically, once given general assignments, determines priorities and defines what should be done and how to do it.</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><li>
Under constant pressure to continuously meet tight deadlines, demanding quotas and/or must regularly deal with difficult situations.</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><ul><li>Advanced analytics in Excel, Tableau, SQL; Python for modeling and automation.</li><li>Data modeling, forecasting, clustering, and predictive analysis.</li><li>Strong communication and storytelling for senior leaders.</li><li>Understanding of HDES operational workflows and service models.</li><li>Ability to coach an early‑career analyst.</li></ul></li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Strong business, functional and/or store knowledge for their area of responsibility</li><li>
Leadership and management experience preferred</li><li>
Strong operations, retail and/or field experience required</li><li>
Ability to partner/communicate well with the field/stores</li><li>
High sense of urgency in responding to field needs</li><li>
Strong big picture; strategic thinking skills</li><li>
Strong quantitative skills such as statistics and data analysis.</li></ul></div>

Manager, Analytics - Workforce Optimization (Equipment Services)

Rialtic, Inc.

<div><h3 class="jobSectionHeader">Role Overview</h3>
<h4 class="jobSectionHeader">The Senior Manager, Claims Analytics, leads the claims analytics function within the Implementation organization. This role is responsible for overseeing complex reimbursement and payment accuracy analyses, managing analysts, setting analytical standards, and partnering cross-functionally with GTM, Customer Success, Product, and Engineering teams to ensure successful client implementations.</h4>
<h4 class="jobSectionHeader">This role combines deep healthcare claims expertise with people leadership, strategic thinking, and operational execution to scale analytics capabilities and drive measurable financial outcomes for clients.</h4>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<h4 class="jobSectionHeader">Leadership &amp; Strategy</h4>
<ul><li><h4 class="jobSectionHeader">Lead and mentor a team of Implementation Claims Analysts, setting priorities, performance expectations, and development plans. Define and standardize analytical methodologies, reporting frameworks, and best practices for claims and reimbursement analysis.</h4>
</li><li><h4 class="jobSectionHeader">Partner with Implementation leadership to align analytics deliverables with client goals, timelines, and success metrics.</h4>
</li><li><h4 class="jobSectionHeader">Act as a subject-matter expert in claims analytics for complex or high-visibility client implementations.</h4>
</li></ul><h4 class="jobSectionHeader">Analytics &amp; Execution</h4>
<ul><li><h4 class="jobSectionHeader">Oversee large-scale analysis of claims data related to charge capture, reimbursement, underpayment, overpayment, and payment accuracy.</h4>
</li><li><h4 class="jobSectionHeader">Ensure the delivery of exception-driven, actionable insights that clearly identify systemic versus isolated issues.</h4>
</li><li><h4 class="jobSectionHeader">Review and validate analytical outputs, ensuring accuracy, consistency, and clarity in reporting and client-facing deliverables.</h4>
</li><li><h4 class="jobSectionHeader">Guide analyses related to: 
</h4>
</li><li><ul><li><h4 class="jobSectionHeader">Payor reimbursement behavior and trends</h4>
</li><li><h4 class="jobSectionHeader">RVU productivity and payment alignment</h4>
</li><li><h4 class="jobSectionHeader">Revenue cycle optimization opportunities</h4>
</li><li><h4 class="jobSectionHeader">Financial performance to benchmarks, goals, and norms 
</h4>
</li></ul></li></ul><h4 class="jobSectionHeader">Cross-Functional Collaboration</h4>
<ul><li><h4 class="jobSectionHeader">Partner with GTM and Customer Success teams to support implementations, renewals, and expansion opportunities through analytics insights.</h4>
</li><li><h4 class="jobSectionHeader">Collaborate with Product and Engineering teams to influence roadmap priorities based on claims analysis findings and client needs.</h4>
</li><li><h4 class="jobSectionHeader">Serve as a senior analytics representative in client-facing discussions, executive readouts, and strategic reviews. 
</h4>
</li></ul><h4 class="jobSectionHeader">Technical Oversight</h4>
<ul><li><h4 class="jobSectionHeader">Guide data ingestion and processing pipelines using SQL*Loader, Oracle, shell scripting, and cloud-based tools.</h4>
</li><li><h4 class="jobSectionHeader">Oversee advanced analytics leveraging SQL, PL/SQL, Python, Scala, Spark, and AWS.</h4>
</li><li><h4 class="jobSectionHeader">Ensure scalable, repeatable approaches to analyzing billions of claims records across clients. 
</h4>
</li></ul><h4 class="jobSectionHeader">Required Qualifications</h4>
<ul><li><h4 class="jobSectionHeader">8+ years of experience in healthcare claims analytics, payment accuracy, or reimbursement analysis.</h4>
</li><li><h4 class="jobSectionHeader">Prior experience working with claims editing or payment accuracy vendors.</h4>
</li><li><h4 class="jobSectionHeader">Strong expertise in medical coding, billing guidelines, and reimbursement methodologies.</h4>
</li><li><h4 class="jobSectionHeader">Proven people leadership experience managing and developing analytics teams.</h4>
</li><li><h4 class="jobSectionHeader">Advanced proficiency in SQL and experience working with large healthcare datasets.</h4>
</li><li><h4 class="jobSectionHeader">Strong executive communication and presentation skills.\</h4></li></ul></div>

Claims Analytics Manager

<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 productionalization 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 data science, 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>

Data Science Sr. Manager - Decision Analytics

<div>Position Purpose:
Develops, implements, and manages performance measures to drive efficiency and effectiveness across the Merchandising Execution Team (MET). This includes collaboration with field teams and internal business partners to design change proposals to support internal cost improvements, productivity, and continuous improvements. 
Key Responsibilities:<ul><li>
25% Develop and implement performance measures for MET service, including Realistic Expectations (REs) and engineered standards by work type and feedback tools to support labor planning and reporting. This work requires quantitative and qualitative analysis of data, processes, and people (i.e. labor studies, new technologies, etc.</li><li>
25% Drive continuous process improvement and lead Lean Six Sigma projects within MET to deliver Productivity in collaboration with MET field, internal business partners, and suppliers.</li><li>
15% Develop and manage functional responsibilities of internal resources and 3rd party engineering service providers.</li><li>
10% Identify and implement best practices based on Merchandising Services industry knowledge. Develop and deliver training (to MET Field Team, internal business partners, suppliers), tailored to the needs of the specific audience.</li><li>
15% Work collaboratively with field teams, internal business partners, and suppliers to drive cost and/or productivity improvements and use productivity gains to justify new MET services.</li><li>
10% Develop, coach, and train direct reports to deliver results consistent with strategy and best in class operations support.</li></ul> 

Direct Manager/Direct Reports:<ul><li>
Typically reports to Director, Labor</li><li>
Number of direct reports - 1</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel 20% to 50% of the time.</li></ul> 

Physical Requirements:<ul><li>
Frequent periods are spent standing or sitting in the same location with some opportunity to move about; occasionally there may be a need to stoop or lift light objects (typically less than 8 pounds).</li></ul> 

Working Conditions:<ul><li>
Typically located in a comfortable indoor area. There may be regular exposure to mild physical discomfort from factors such as dust, fumes or odors, temperature extremes, loud noise, strong drafts, or bright lights.
</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>
Bachelor's Degree in engineering, operations, or economics</li><li>
LEAN Six Sigma certification or familiarity with other process improvement methodologies</li><li>
Experience with merchandising services organizations (MSO) and/or store operations</li><li>
Executive presentation experience (e.g., development of presentations and delivery)</li><li>
Experience effectively managing direct reports</li><li>
Experience working on projects involving quantitative and qualitative analysis, interpreting data, and formulating recommendations (including fundamental finance metrics to support recommendations)</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 

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

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

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

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

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

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

Competencies:<ul><li>
Process Management for Productivity and Continuous Improvement - Understands how to organize people and activities, understands how to separate and combine tasks into efficient work flow, knows what to measure and how to measure it, can simplify complex processes, and can identify opportunities for synergy and integration.</li><li>
Total Work Systems - Experience in Continuous Improvement Program development and execution (e.g., Lean Six Sigma) to deliver the highest productivity to meet the needs and requirements of internal and external customers.
</li><li>Solid track record of leadership and management skills. High degree of problem solving and decision making ability, directing (and following up) on the work of others.
</li><li>Proven ability to manage positive business partnerships and perform in complex cross-functional environment. Establishes and maintains two-way dialog with others on work and results.</li><li>
Demonstrated ability to present complex terminology to diverse audiences at various levels (including executive leaders).</li></ul></div>

Manager, Business Analytics MET

<div>
 Req172924
 
 
 
 Position Purpose
 
 
 
 The Sr Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role also works closely with the Director of Decision Analytics in defining the analytical strategy and approach for projects and processes. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. This role is expected to leverage effective storytelling skills to translate complex analyses into understandable insights, with a passion to learn and develop.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions
 </li>
 <li>
 25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python
 </li>
 <li>
 5% Data cleansing, validation, testing
 </li>
 <li>
 5% Enhancements / modifications to systems &amp; procedures
 </li>
 <li>
 5% Supporting end users, problem solving, troubleshooting
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 Reports to a Director.
 </li>
 <li>
 This position has 1 direct reports.
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel less than 10% of the time.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Analytics, Finance, or Information Systems or related field is preferred
 </li>
 <li>
 Eight or more years of experience in analytics is preferred
 </li>
 <li>
 Experience in SQL, SAS, Tableau, R, python and similar tools preferred
 
 
 </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>
 6
 
 
 </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>

Senior Manager Decision Analytics

<div>Position Purpose:
The Sr Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role also works closely with the Director of Decision Analytics in defining the analytical strategy and approach for projects and processes. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. This role is expected to leverage effective storytelling skills to translate complex analyses into understandable insights, with a passion to learn and develop. 
Key Responsibilities:<ul><li>
60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Director.</li><li>
This position has 1 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Eight or more years of experience in analytics is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</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>
6</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>

Explore 714+ Business analytics manager in Atlanta this March. Find roles across top companies and apply now to boost your career.

714 business analytics manager jobs In Atlanta

Manager, Quant Research - PLA Pricing

Manager, Analytics - Workforce Optimization (Equipment Services)

Claims Analytics Manager

Data Science Sr. Manager - Decision Analytics

Manager, Business Analytics MET

Senior Manager Decision Analytics

Senior Manager Decision Analytics