senior data mining analyst

The Home Depot

<div><b>Position Purpose:</b><p>
A Logistics Sr. Analyst uses analytical methods and a variety of tools to understand, predict, improve and/or control Logistics operations and processes. Sr. Logistics Analysts are responsible for data management, analyzing performance, identifying problems, and developing recommendations that support Logistics management. 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 Logistics organization, and able to manage vendor/business relationships. - Daily project activity coordination for multiple large scale initiatives such as Supply Chain Sync, Manual Floor Load, and Breakpack enhancement Implementation. - Developing and executing score carding for project and key organizational metrics to evaluate the performance to business case of those projects. - Performs forecasting, development and implementation of process improvement opportunities associated with assigned projects - Performs analysis in support of requested business and systemic enhancements which will result in cost savings to the company</p><b><br>
Key Responsibilities:</b><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><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This position reports to Manager of Sr Manager</li><li>
This position has no Direct Reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><br>
<b>
Physical Requirements:</b><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><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><ul><li>
Industrial Engineering, Business Administration, Math or Finance Degree Master's Degree</li><li>
Experience with Six Sigma or other Process Improvement Methodology</li><li>
Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Project, Word and Visio.</li><li>
Advanced Skills in: Mini-Tab, Access, SQL, Visual Basic Skills for Data Acquisition and Analysis, Visio-Process Mapping Skills</li><li>
Project Management Skills</li><li>
Finance/CBA/Capital Budget Experience</li></ul><br>
<b>
Minimum Education:</b><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><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
3</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><ul><li>
None</li></ul></div>

Sr. Analyst, Data Quality

<div><p><b>Position Purpose:</b></p><p>
The purpose of the Senior Data Analyst for Product Data Insights &amp; Tooling is to turn our vast item catalog into a high-performance engine for decision-making. The Senior Data Analyst is responsible for leveraging complex, large-scale data to derive actionable insights that directly influence and support executive-level merchandising strategy. This role requires a blend of advanced technical data manipulation skills and a deep understanding of retail merchandising principles to translate raw data into clear, impactful business recommendations. In this position, the Senior Data Analyst will build and support automation, leverage AI tooling, and collaborate cross-functionally in alignment with the executive strategy. The position requires knowledge of merchandising, an analytical skillset, and an entrepreneurial mindset.</p><p></p><p>
Key responsibilities include:</p><ul><li>
Manipulating and analyzing large, complex datasets to identify trends, patterns, and opportunities related to category and product performance, customer behavior, and market dynamics.</li><li>
Translating analytical findings into concise, compelling recommendations and presenting them to leadership to inform and validate merchandising strategies.</li><li>
Developing and maintaining dashboards and reports to track key performance indicators, effectively communicating merchandising insights to cross-functional stakeholders.</li><li>
Partnering with cross-functional teams to align analytical projects with overarching business goals and providing data-driven guidance.</li></ul><p><b><br>
Key Responsibilities:</b></p><ul><li>
Represents the Merchandising function in business process evaluation, procedural development, systems requirements definition and systems functional design.</li>
Project/Initiative Management<li>-Partners with senior and department management and cross-functional teams in determining and defining business need/requirements; project plans, risk assessments, communication, implementation, training and change management</li><li>
Manages the business and project team expectations including addressing project issues, changes; May directly supervise staff members in the development, implementation and support of applications and business processes to meet the client's business requirements.</li><li>
Driving the requirements gathering efforts for a project (either development or implementation), including managing the expectations of the project manager, the stakeholders, the project team and executive management.</li><li>
Proposing alternatives and solutions to requirements management for each project that most closely aligns with the specific timetables, objectives and business issues at hand.</li><li>
Consulting with cross-functional managers, project managers, management and customers to ensure that all projects undertaken adequately address requirement related issues. Understanding the business case behind all projects, including the motivating factors for all stakeholders. Working with the Business Manager to analyze all potential opportunities to enhance, improve and refine the requirements gathering processes.</li><li>
Establishes and reports on metrics of assigned projects to gauge business value (ROI).; Audits and evaluates implemented projects (systems/processes, for example) to support continuous improvement opportunities.</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Typically reports to Manager or Senior Manager Merchandise Mgt Systems</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Business, Analytics, Data Science, or a related field.</li><li>
3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.</li><li>
Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R).</li><li>
Strong proficiency with data visualization tools such as Tableau or Power BI.</li><li>
Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.</li></ul><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Proficient in business process evaluation and procedure development; Demonstrates a thorough knowledge of all tools, processes, methodologies and standards for requirements gathering, documentation and analysis.</li><li>
Previous experience supervising professionals</li><li>
Experience or in-depth knowledge of retail merchandising and/or logistics; possesses cross functional retail knowledge.</li><li>
Strong communication, analytical, organizational, leadership and teamwork skills; Demonstrated experience in process improvement and/or SDLC and project management methodology</li><li>
PC proficiency, including knowledge of worksheet, word processing, project management and presentation applications</li></ul></div><p></p>

Senior Analyst, Item Data Management – Data Quality

Fanatics Betting & Gaming

<p></p><div><div><h2 class="jobSectionHeader"><b>About Us</b></h2>
<div><div>Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting &amp; Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.</div>
</div>
</div><p></p><p><b>Staff Data Analyst, Lifetime Value</b></p>
<p><b>
Overview</b><br>
As Fanatics Betting &amp; Gaming scales, accurately understanding and forecasting customer lifetime value (LTV) is foundational to how we deploy capital, evaluate acquisition efficiency, and drive long-term profitability.</p>
<p>
As the Staff Data Analyst &ndash; Lifetime Value, you will serve as the business owner of the LTV framework. You will be responsible for the integrity, evolution, and business adoption of our LTV model &mdash; ensuring it is methodologically sound, operationally scalable, and deeply embedded in decision-making across Marketing, Finance, Product, and executive leadership.</p>
<p>
This role sits at the intersection of advanced analytics and strategy. You will partner closely with Data Science on model development and validation, while translating complex modeling outputs into clear, actionable insights that drive acquisition strategy, forecasting, and long-term value creation. You will live and breathe LTV &mdash; owning not just reporting, but how the organization understands, trusts, and acts on customer value.</p>
<p>
The ideal candidate combines strong statistical fluency with executive-level communication skills, thrives in high-growth environments, and is comfortable taking ownership of a core enterprise metric.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Partner with Data Science to develop and enhance predictive LTV models, contributing to feature design, cohort logic, retention modeling, revenue forecasting, and profitability estimation.</li>
<li>Act as the cross-functional authority on customer value, aligning Sportsbook, Casino, Marketing, Finance, Product, and Operations on interpretation and usage of LTV metrics.</li>
<li>Lead LTV-based acquisition performance measurement, shifting focus from short-term KPIs to long-term value creation (LTV/CAC, payback periods, cohort quality).</li>
<li>Translate model outputs into business narratives, enabling executives and senior stakeholders to understand drivers of value, forecast changes, and strategic trade-offs.</li>
<li>Standardize LTV reporting across the organization, ensuring consistent definitions, transparency of assumptions, and alignment between Analytics, Finance, and Marketing.</li>
<li>Embed LTV into strategic planning and capital allocation decisions, partnering with Marketing and Finance stakeholders on forecasting, scenario modeling, and long-range planning.</li>
<li>Drive scalable executive reporting, developing dashboards and materials that clearly communicate cohort trends, forecast updates, risks, and opportunities.</li>
<li>Strengthen the data foundation supporting LTV, partnering with Data Engineering to improve data pipelines, documentation, and quality controls.</li></ul><br>
<p></p>
<p><b>
Experience and Skills</b></p>
<ul>
<li>11+ years of experience in advanced analytics, data science, or strategic analytics roles, with direct experience owning or contributing to predictive models.</li>
<li>Experience partnering with Data Science teams to productionize and monitor predictive models, with experience with Lifetime Value models a strong advantage.</li>
<li>Experience building executive-level reporting and translating complex model outputs into clear business insights.</li>
<li>Strong understanding of statistical modeling techniques (e.g., survival analysis, regression, time-series forecasting, multivariate testing), with hands-on experience in Python, R, or similar languages.</li>
<li>Advanced SQL proficiency with experience building scalable datasets and supporting model inputs.</li>
<li>Strong understanding of acquisition economics, including CAC, payback periods, contribution margin, and ROI frameworks.</li>
<li>Experience integrating model outputs into financial planning, forecasting, or capital allocation decisions.</li>
<li>Proficiency in data visualization tools (Tableau, Power BI, or similar) with a focus on executive communication.</li>
<li>Demonstrated ability to influence senior leadership and drive adoption of analytics-based decision frameworks.</li>
<li>Experience in sports betting or iGaming is a strong advantage.</li>
<li>Proven ability to manage multiple high-impact initiatives in a fast-paced, high-growth environment.</li>
<li>A passion for working in an entrepreneurial, fast-paced environment with a focus on agility and rapid decision-making.</li>
<li>Willingness to travel as needed to attend key meetings across Fanatics offices.</li></ul></div>

Sr Staff Data Analyst - Lifetime Value

ITnova

<div>
 ITnova is seeking an Senior Financial Data Analyst to support the to support the Budget team. The Senior Financial Data Analysts will provide technical services that prepare and manage the Department&rsquo;s budget, overtime, and financial performance, ensure compliance with consultant payments, and maintain records.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support the Budget team by reviewing and analyzing the department&rsquo;s monthly financial performance.
  </li>
  <li>
   Assist with preparation of the annual budget for Capital, Operating, and Overhead-funded programs.
  </li>
  <li>
   Prepare and coordinate monthly consultant accruals by verifying Purchase Orders and supporting documentation.
  </li>
  <li>
   Review month-end postings for accuracy and identify financial variances.
  </li>
  <li>
   Prepare and submit charge code reclassifications as needed.
  </li>
  <li>
   Research and prepare ad hoc project data reports.
  </li>
  <li>
   Validate adherence to charge code guidelines for construction and consultant expenditures.
  </li>
  <li>
   Track deferred projects and maintain related amortization schedules.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in accounting, finance, or a related field
  </li>
  <li>
   5+ years of experience in complex financial analysis and reporting, budget forecasting and data analysis within a large organization
  </li>
  <li>
   Proficiency in PC applications (Microsoft Office Suite, including but not limited to SharePoint, Lists, etc.)
  </li>
  <li>
   Intermediate to advanced experience in Microsoft Excel (pivot tables, VLOOKUP, macros/VBA, etc.)
  </li>
  <li>
   Demonstrated experience using SAP financial modules, Peoplesoft, Oracle Essbase and Hyperion with SmartView software applications
  </li>
  <li>
   Ability to reconcile financial data
  </li>
  <li>
   Ability to work with large datasets
  </li>
  <li>
   Knowledge of GASB accounting principles
  </li>
  <li>
   Excellent communication and problem-solving skills
  </li>
  <li>
   Demonstrated experience working independently
  </li>
  <li>
   High attention to detail with the ability to identify errors and inconsistencies
  </li>
  <li>
   Must be a team player
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
 </strong>
 <strong>
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   Medical, Dental &amp; Vision benefits
  </li>
  <li>
   Company paid life Insurance
  </li>
  <li>
   401k
  </li>
  <li>
   Paid-time-off
  </li>
  <li>
   Paid holidays
  </li>
  <li>
   Training reimbursement
   <br/>
   <br/>
  </li>
 </ul>
 This is a remote position.
 <br/>
 <br/>
 <em>
  ITnova
 </em>
 <em>
  is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic
 </em>
 .
</div>


Senior Financial Data Analyst

PACO Group Inc

<div><div><div><div><div>Employment Type:
</div><div><b>Full time</b></div>
</div><div><div>Knowledge, Skills, &amp; Abilities:
</div><div><b>Proficiency in PC applications (Microsoft Office Suite, including but not limited to SharePoint, Lists, etc.); Intermediate to advanced experience in Microsoft Excel (pivot tables, VLOOKUP, macros/VBA, etc.); Demonstrated experience using SAP financial modules, Peoplesoft, Oracle Essbase and Hyperion with SmartView software applications.</b></div>
</div><div><div>Education Requirements:
</div><div><b>Bachelor&rsquo;s degree in accounting, finance, or a related field</b></div>
</div><div><div>Hourly Rate:
</div></div></div></div><div></div><div><p><b>Senior Financial Data Analyst</b></p><p><b><br>
Position Summary</b><br>
PACO Group is seeking two Senior Financial Data Analysts (SFDS) to support the PANYNJ-Engineering Financial Services Budget team. The SFDS will review and analyze monthly the department&rsquo;s financial performance; help prepare the annual budget for the Capital, Operating and overhead funded programs; prepare and coordinate monthly the department&rsquo;s consultant accruals by verifying supporting documentation related to the Purchase Order; analyze month end postings for accuracy and financial variances; prepare and submit charge code reclassifications; research and prepare ad hoc project data reports; validate adherence to charge code guidelines for all construction and consultant expenditures; prepare and track the department&rsquo;s deferred projects and corresponding amortization schedules.</p><div><b>
Minimum Requirements</b><br>
To be considered for this position, the candidates must demonstrate the minimum required education, technical qualifications, and experience outlined below:<br>
<ul><li>Bachelor&rsquo;s degree in accounting, finance, or a related field</li><li>5+ years of experience in complex financial analysis and reporting, budget forecasting and data analysis</li><li>within a large organization</li><li>Proficiency in PC applications (Microsoft Office Suite, including but not limited to SharePoint, Lists,</li><li>etc.)</li><li>Intermediate to advanced experience in Microsoft Excel (pivot tables, VLOOKUP, macros/VBA, etc.)</li><li>Demonstrated experience using SAP financial modules, Peoplesoft, Oracle Essbase and Hyperion with</li><li>SmartView software applications</li><li>Ability to reconcile financial data</li><li>Ability to work with large datasets</li><li>Knowledge of GASB accounting principles</li><li>Excellent communication and problem-solving skills</li><li>Demonstrated experience working independently</li><li>High attention to detail with the ability to identify errors and inconsistencies</li><li>Must be a team player</li></ul></div><p><b>
Compensation</b><br>
The good-faith hourly pay range for this position is <b>$80-$95</b> per hour, depending on experience, qualifications, and client requirements.</p><p><b>
Work Location:</b> Full-Time; Remote</p><div><b>
Benefits Summary</b><br>
<ul><li>401(k) and 401(k) Employer Matching</li><li>Health Insurance</li><li>Dental Insurance</li><li>Group Life Insurance, LTD and AD&amp;D</li><li>Paid Time Off</li><li>Paid Holidays</li><li>Professional Development Assistance</li></ul></div><p><b>
EEO Diversity Statement</b><br>
PACO Group, Inc. is committed to furthering opportunities for everyone in the national construction market. The firm periodically reaffirms this commitment through an active affirmative action plan. It provides Equal Employment Opportunities (EEO) to all employees without unlawful discrimination regarding race, creed, color, national origin, sex, age, disability, marital status, religion, military status, pregnancy, sexual orientation, or citizenship status. As an equal opportunity employer, we have recruited, hired, promoted, and retained an ethnically and socially diverse professional staff. Our efforts to date have produced a multidisciplinary workforce&mdash;a record of diversity that extends to the highest levels of the firm's management.</p></div></div><p></p>

Fragomen

<div><p><b>Job Description
</b></p><div><div><p>Fragomen, an AMLaw 100 Firm and the leading global immigration services provider, is strengthening its enterprise data foundation to enable consistent client delivery, trusted reporting, and scalable automation. We are seeking a senior level leader to advance our Master and Reference Data Management (MDM/ RDM ) program, with a particular focus on the Service Catalog that defines how we deliver services to clients.
</p></div><div><p>As a <b>Senior Business Data Governance Analyst </b>, you will manage the Service Catalog and related master and reference data as governed enterprise data products&mdash; establishing standards, enabling stewardship workflows, improving data quality, and driving adoption across regions and teams. Success means a Service Catalog that is trusted, consistently used, and fit for purpose across operations, analytics, and automation.
</p></div><div><p><b>How will you make a difference as a </b><b>Senior Business Data </b><b>Governance </b><b>Analyst </b><b>at Fragomen?
</b></p></div><div><ul><li><p>E volve our Service Catalog as a product
</p></li></ul></div><div><ul><li><p>Assist in defining the catalog&rsquo;s structure (taxonomy, hierarchy), business definitions, attributes, and metadata
</p></li></ul></div><div><ul><li><p>Establish lifecycle management: intake definition review/approval publish change control/versioning retirement
</p></li></ul></div><div><ul><li><p>Ensure the catalog supports key downstream needs (client delivery, reporting, financial/operational views, automation/AI)
</p></li></ul></div><div><ul><li><p>Advance Fragomen&rsquo;s MDM/ RDM program
</p></li></ul></div><div><ul><li><p>Drive onboarding and governance for master/reference domains
</p></li></ul></div><div><ul><li><p>Define standards for identifiers, naming conventions, hierarchies, relationships, code sets, and controlled vocabularies
</p></li></ul></div><div><ul><li><p>Build repeatable operating mechanisms so domains stay healthy and scalable over time
</p></li></ul></div><div><ul><li><p>Run stewardship and decision-making at scale
</p></li></ul></div><div><ul><li><p>Establish clear roles (data owners, stewards), RACI, decision rights, SLAs, and escalation paths
</p></li></ul></div><div><ul><li><p>Lead working sessions and forums to resolve definition disputes, approve changes, and manage backlog/priorities
</p></li></ul></div><div><ul><li><p>Partner across business, product, and technology teams to embed stewardship into day-to-day work
</p></li></ul></div><div><ul><li><p>Improve data quality within the MDM/ RDM domains
</p></li></ul></div><div><ul><li><p>Define and track quality KPIs for master/reference data (e.g., completeness, validity, uniqueness, duplication, hierarchy integrity)
</p></li></ul></div><div><ul><li><p>Lead issue triage and root-cause remediation with accountable owners
</p></li></ul></div></div><div><div><ul><li><p>Help shift from reactive clean-up to preventative controls (validation rules, standardized intake, monitoring)
</p></li></ul></div><div><ul><li><p>Enable analytics, automation, and integration
</p></li></ul></div><div><ul><li><p>Ensure master/reference data is consistent across systems and supports integration patterns and enterprise modeling
</p></li></ul></div><div><ul><li><p>Collaborate with data platform and product teams to align the Service Catalog to the enterprise data model, glossary, and metadata tooling
</p></li></ul></div><div><ul><li><p>Identify high-value use cases unlocked by trusted service master/reference data and help drive them to delivery<br>
</p></li></ul></div><p></p><div><p><b>Leverage your valuable skills and experience to make an impact </b><b>at </b><b>Fragomen:
</b></p></div><div><ul><li><p>7+ years leading or delivering enterprise data initiatives, with meaningful depth in MDM, reference data and/or data governance operating models
</p></li></ul></div><div><ul><li><p>Strong understanding of core MDM/ RDM concepts: domain onboarding, stewardship workflows, reference data management, hierarchies, change control/versioning, and quality controls
</p></li></ul></div><div><ul><li><p>Demonstrated ability to influence and align diverse stakeholders (operations, regional leaders, product, IT, data teams) and drive adoption and not just documentation
</p></li></ul></div><div><ul><li><p>Ability to translate ambiguity into decisions: crisp definitions, clear standards, and a pragmatic roadmap
</p></li></ul></div><div><ul><li><p>Comfort working with metadata/catalog and MDM tools (e.g., Informatica, Profisee , or similar) and collaborating closely with technical teams (hands-on configuration experience is a plus, not required )
</p></li></ul></div><div><ul><li><p>Excellent written and verbal communication; strong facilitation skills; disciplined program execution in a fast-paced, client-service environment
</p></li></ul></div><div><ul><li><p>Ability to prioritize work, manage risk, and escalate issues appropriately in a fast paced , client service environment.
</p></li></ul></div><div><ul><li><p>Nice to have:
</p></li></ul></div><div><ul><li><p>Data Analyst skillset including SQL, data visualization tools ( e.g. Power BI, Tableau).
</p></li></ul></div><div><ul><li><p>Experience defining data quality rules and monitoring frameworks, or embedding validation controls upstream
</p></li></ul></div><div><ul><li><p>Familiarity with enterprise data modeling and business glossary/term management
</p></li></ul></div><div><ul><li><p>Prior work in professional services, legal, regulated, or multi-region operating environments
</p></li></ul></div></div><p></p><p><i>All offers and/or employment contracts are contingent upon the successful completion of the Firm&rsquo;s pre-employment screening process. This process may include verifying the candidate&rsquo;s identity, confirming legal authorization to work in the offered position&rsquo;s location, and conducting a comprehensive background check, where permitted by local regulations. We use limited AI‑assisted tools for administrative screening purposes only - never for decision‑making. All hiring decisions are made by people. Applicants may have rights to information and explanations regarding the use of such tools, or request human review, as required by applicable regional laws.</i></p></div>

Senior Business Data Governance Analyst

PNC Financial Services Group

Job Profile
<br><br>
Position Overview
<br>At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Science Manager Senior within PNC's Data, Model & Analytics Retail Lending Data Analytics organization, you will be based in Pittsburgh, PA or Cleveland, OH.
<br><br>
<b>Role Overview:</b><br>
This Data Science Manager Senior role focuses on delivering decision ready insight through Descriptive (“what happened?”) and Diagnostic (“why did it happen?”) Analytics, with concrete outputs such as executive dashboards, KPI frameworks, trend and cohort analyses, drill downs, segmentation, driver analysis, and root cause investigations. The role is accountable for translating complex data into clear performance narratives by defining standardized metrics, ensuring data quality and lineage, and embedding analyses into scalable BI assets rather than ad hoc reporting. As needed, the role performs Prescriptive Analytics (“what should we do?”) by turning findings into decision recommendations through scenario analysis, sensitivity testing, and practical optimization or decision models, and by operationalizing insights into dashboards, alerts, and playbooks. Predictive Analytics (“what will happen?”) is in scope but not required, with forecasting, risk or propensity scoring, and applied machine learning viewed as nice to have capabilities.
<br><br>
The manager leads and prioritizes an analytics roadmap, coaches analysts and data scientists, and promotes disciplined use of tools such as SQL, Python, modern BI platforms, cloud data technologies, Git, and applied statistics. Strong partnership with product, operations, risk, and business leaders is essential to frame the right questions and deliver executive ready storytelling that connects analysis to action. The role enforces data governance, documentation, and audit ready practices, ensuring metric consistency and trusted reporting across teams. An experiment and measurement mindset is expected, applying test and learn or A/B testing to evaluate impact. Any models or advanced techniques used are monitored for performance, reliability, and fairness, with assumptions and limitations communicated transparently.”
<br><br>
<b>Preferred skills & experience:</b><br>
<ul>
<li>Proven experience delivering Descriptive and Diagnostic Analytics, including KPI frameworks, executive dashboards, trend/cohort analysis, segmentation, driver analysis, and root cause investigations that inform business decisions.</li>
<li>Strong capability to translate analytical findings into Prescriptive Analytics, such as clear decision recommendations, scenario and sensitivity analysis, and practical optimization or decision models embedded into dashboards, alerts, or playbooks.</li>
<li>Demonstrated people and delivery leadership, including owning and prioritizing an analytics roadmap, coaching analysts and data scientists, setting analytical standards, and ensuring consistent, high impact outcomes.</li>
<li>Hands on proficiency with SQL, Python, BI visualization tools e.g., Tableau & Plotly, cloud data platforms, Git, and applied statistics, along with a strong foundation in data quality, metric definition, governance, documentation, and experimental or test and learn approaches.</li>
</ul>
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
<br><br>
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
<br><br>
Job Description
<br>Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
<br>Provides leadership, direction and methodology for Data Scientists to create appropriate models and data-driven solutions for the business.
<br>Recruits, trains, and develops best-in-class Data Scientists.
<br>Works with executive leadership to identify data science project opportunities and assists in planning activities including budget and scope determination.
<br>Oversees relationship with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
<br><br>
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
<br>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
<br>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
<br><br>
PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:
<br>Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.
<br>Live the Values - Role models our values with transparency and courage.
<br>Enable Change - Takes action to drive change and innovation that will transform our business.
<br>Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
<br>Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.
<br><br>
Qualifications
<br><br>
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
<br><br>
Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
<br><br>
Competencies Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools
<br><br>
Work Experience Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is typically 8+ years. At least 5 years of prior management experience is typically required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
<br><br>
Education Masters
<br><br>
Certifications No Required Certification(s)
<br><br>
Licenses No Required License(s)
<br><br>
Pay Transparency
<br><b>Base Salary:</b> $80,000.00 – $172,500.00
<br><br>
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
<br><br>
Application Window
<br>Generally, this opening is expected to be posted for two business days from 04/09/2026, although it may be longer with business discretion.
<br><br>
Benefits
<br>PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
<br><br>
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
<br><br>
To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com .
<br><br>
Disability Accommodations Statement
<br><br>
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
<br><br>
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
<br><br>
Equal Employment Opportunity (EEO)
<br><br>
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
<br><br>
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
<br><br>
California Residents
<br><br>
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Data Science Manager Senior - Data, Model & Analytics

Search 10000+ Senior data mining analyst jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 senior data mining analyst jobs Near Me

Sr. Analyst, Data Quality

Senior Analyst, Item Data Management – Data Quality

Sr Staff Data Analyst - Lifetime Value

Senior Financial Data Analyst

Senior Financial Data Analyst

Senior Business Data Governance Analyst

Data Science Manager Senior - Data, Model & Analytics