analytics lead

Boardwalk Pipeline Partners

Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers’ needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at www.bwpipelines.com.
 
Join a collaborative, high-performing HR team focused on delivering data-driven insights that shape workforce strategy and business outcomes. The People Analytics Lead will lead the development of the People Analytics Center of Excellence (COE) by ensuring the integrity, scalability, and strategic use of HR data across the enterprise.
 Reporting to the VP Total Rewards, HRIS & People Analytics this role leads the development and governance of the HR data warehouse, delivers actionable human capital insights, and enables HR and business leaders to make informed decisions through advanced reporting, analytics, and data visualization.
 This position operates independently, drives continuous improvement, and serves as a subject-matter leader on HR analytics initiatives.
 
Summary Overview
 
The People Analytics Lead enables data-driven workforce decisions by designing, governing, and delivering trusted HR analytics across the enterprise. This role leads the HR data warehouse strategy, modernizes reporting capabilities, and provides actionable insights that advance organizational effectiveness. Operating as a subject-matter leader, the position partners closely with HR, IT, and business leaders to translate complex human capital data into strategic recommendations.
 
Position Description
 
Lead the design and development of the People Analytics CoE at Boardwalk HR. Own the maintenance, integrity, and optimization of the HR data warehouse and human capital analytics ecosystem. Modernize our current reporting capabilities to create insightful reporting which delivers actions and enables decision making. Help support the implementation of a cloud-based HRIS system and leverage AI where available to improve and automate our reporting.
 
Key Responsibilities
 
<ul>
<li>Support and govern all HR data warehouse maintenance and human capital analytics to ensure data integrity, scalability, and alignment with enterprise reporting standards.</li>
<li>Evaluate emerging HR technologies and analytics capabilities to ensure a future-ready data infrastructure</li>
<li>Research and interpret business trends and workforce issues to provide insights and strategic recommendations to senior management on human capital performance.</li>
<li>Translate analytical findings into executive-ready reports, dashboards, and proposals, including recommendations for action or implementation plans, and present insights to HR leadership.</li>
<li>Participate in and support enterprise initiatives designed to advance strategic objectives and operational goals, including analysis of human capital trends to inform future workforce strategy.</li>
<li>Collaborate with internal stakeholders and cross-functional teams to design and implement programs that drive growth, efficiency, and organizational effectiveness, and evaluate outcomes against defined success metrics.</li>
<li>Identify and assess industry trends and benchmarking data, participating in external forums to build institutional knowledge and apply best practices to the organization’s people analytics strategy.</li>
<li>Leverage HR systems and analytics tools such as Dayforce, Oracle Fusion, Spotfire and Power BI to deliver accurate, timely, and meaningful data and insights across the organization.</li>
<li>Partner with IT data architecture and Reporting COE teams to improve data quality, governance, and reporting processes, ensuring alignment with enterprise data strategy.</li>
<li>Create intuitive, data-as-a-service environments that empower HR partners and business leaders to make real-time, data-driven decisions.</li>
<li>Drive data literacy across HR by coaching and mentoring partners on analytics tools and strategic inquiry.</li>
<li>Coach HR partners and stakeholders on navigating analytics platforms, interpreting insights, and framing strategic questions that influence business leaders and drive high-impact outcomes.</li>
<li>Evaluate and recommend emerging HR technologies and analytical tools to support a scalable, future-ready data infrastructure; partner with IT and business stakeholders to improve data accessibility and usability.</li>
<li>Perform other duties as assigned in support of HR analytics, reporting, and workforce strategy objectives.</li>
</ul>
Qualifications
 
Education & Experience
 
<ul>
<li>Bachelor’s degree preferred</li>
<li>Must have at least 5 years of experience in HR reporting, analytics and application support (HR Systems and/or Reporting and Analytics) or equivalent experience</li>
<li>Strong analytical skills and success in using data driven insights to make business decisions.</li>
<li>Specialized experience is building and maintaining data warehouses, collaborating with IT to develop robust data testing protocols, and developer skill set for building reports and dashboards</li>
<li>Strong project and relationship management skills and able to collaborate and mentor effectively across cross functional teams.</li>
<li>Excellent written and verbal communication and networking skills</li>
</ul>
Skills
 
<ul>
<li>Must be able to analyze data and validate assumptions</li>
<li>Previous process improvement analysis skills preferred</li>
<li>Must have attention to detail and understanding of data elements</li>
<li>Must be discreet with access to highly privileged employee data</li>
<li>Must be able to manage time and work priorities</li>
</ul>
Systems & Applications
 <ul>
<li>Dayforce</li>
<li>Microsoft Power BI and Excel</li>
<li>Spotfire</li>
<li>Data modeling and system testing tools</li>
</ul>
ADDITIONAL INFORMATION: 
Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug & substance abuse testing before hiring.
 
Boardwalk Pipelines, LP, is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.

People Analytics Lead

flyadeal

<div>
 
 
 The role is responsible for leading digital performance analytics for flyadeal&rsquo;s web and app platforms, turning data into actionable insights to optimize customer journeys, engagement, and revenue, while managing e-commerce tracking, funnel analysis, reporting, and cross-functional data-driven decision-making
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own and maintain end-to-end e-commerce performance analytics across web and mobile app.
 </li>
 <li>
 Analyze digital funnels and customer journeys to identify drop-offs, friction points, and revenue opportunities.
 </li>
 <li>
 Track and report on key metrics such as conversion rate, revenue per visitor, etc.
 </li>
 <li>
 Use tools such as GA4, content square, and app analytics platforms to understand user behavior and digital performance.
 </li>
 <li>
 Define and validate tracking requirements, event taxonomy, and data layer structures in collaboration with Product and IT teams.
 </li>
 <li>
 Manage and support tagging implementation through Google Tag Manager (GTM) and ensure tracking accuracy across digital platforms.
 </li>
 <li>
 Develop dashboards and performance reports using Power BI, Looker Studio, Tableau, or similar tools for stakeholders across the business.
 </li>
 <li>
 Translate analytical insights into clear recommendations to support product, UX, marketing, and commercial decisions.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Information Systems / IT, Business Analytics or a related field
 </li>
 <li>
 Minimum 5+ years of experience in digital analytics, product analytics, or e-commerce performance analytics.
 </li>
 <li>
 Advanced expertise in GA4 and digital analytics platforms.
 </li>
 <li>
 Knowledge of digital tracking implementations and data layer design.
 </li>
 <li>
 Strong understanding of event-based tracking models and data layer architecture
 </li>
 <li>
 Managing and validating tracking through Google Tag Manager (GTM)
 </li>
 <li>
 Knowledge of JavaScript fundamentals for tracking validation and troubleshooting
 </li>
 <li>
 Behavior analytics tools (Contentsquare, Hotjar, FullStory, etc.)
 </li>
 <li>
 Data visualization tools (Power BI, Tableau, Looker Studio) and strong SQL skills for querying large datasets.
 </li>
 <li>
 Understanding of mobile app analytics tracking frameworks
 </li>
 <li>
 Knowledge of data quality validation, tracking audits, and governance
 </li>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Commercial awareness and results-oriented thinking.
 </li>
 </ul>
</div>

Digital Analytics Lead

Openkyber

<div>IoT-AUTO- Project Manager / Scrum Master with Data or Analytics (Data Centric ) exp required, with Manufacturing Industry exp is preferred - Dallas TX - Locals only 4 + months contract Description: We are seeking an experienced Project Manager / Scrum Master to lead and deliver data-centric projects across our organization. This role combines strong project management and Agile expertise with hands-on experience coordinating data engineering, analytics, cloud, and integration teams. The ideal candidate can drive cross-functional execution, ensure timely delivery, and communicate effectively with both technical and business stakeholders.
Key Responsibilities Project Management &amp; Delivery:
<ul><li>Lead end-to-end project delivery for data engineering, data platform, analytics, and governance initiatives.</li>
<li>Develop and manage project plans, timelines, budgets, scopes, and risks.</li>
<li>Coordinate dependencies across data, engineering, cloud, product, and business teams.</li>
<li>Ensure successful delivery of data pipelines, migrations, dashboards, integrations, and cloud platform enhancements.</li>
</ul>Scrum Master Responsibilities:
<ul><li>Facilitate Agile ceremonies: daily standups, sprint planning, grooming, retrospectives, and demos.</li>
<li>Coach teams on Agile best practices and foster a high-performing, collaborative environment.</li>
<li>Remove impediments and ensure smooth sprint execution.</li>
<li>Track team velocity, sprint progress, and process improvements.</li>
</ul>Stakeholder Management:
<ul><li>Work closely with business owners, data leads, analysts, and executives to gather requirements and ensure alignment.</li>
<li>Communicate project status, risks, and dependencies clearly and proactively.</li>
<li>Manage expectations and ensure transparency around scope and timelines.</li>
<li>Bridge the gap between technical teams and business functions.</li>
</ul>Data Project Coordination:
<ul><li>Understand data concepts such as ETL/ELT, data quality, reporting, data lakes/warehouses (no hands-on coding required).</li>
<li>Work with data engineers and architects to ensure technical feasibility and accurate estimation.</li>
<li>Oversee data validation, UAT cycles, and production readiness activities.</li>
<li>Ensure data governance, privacy, and compliance considerations are included in project workflows.</li>
</ul>Continuous Improvement &amp; Governance:
<ul><li>Promote standard PMO practices, documentation, and project governance frameworks.</li>
<li>Identify process improvement opportunities across teams and drive adoption.</li>
<li>Support capacity planning, resource management, and cross-team coordination.</li>
</ul>Required Skills &amp; Experience Project &amp; Agile Skills:
<ul><li>5+ years of project management experience, with at least 2+ years managing data or analytics projects.</li>
<li>Strong knowledge of Agile/Scrum methodologies and best practices.</li>
<li>Proven ability to deliver complex, multi-team data or cloud projects.</li>
<li>Experience managing distributed and cross-functional teams.</li>
</ul>Technical &amp; Domain Knowledge:
<ul><li>Good understanding of data platforms, data pipelines, cloud environments (AWS/Azure/Google Cloud Platform), and BI/reporting tools.</li>
<li>Ability to interpret technical concepts and translate them into business language.</li>
<li>Familiarity with tools such as Jira, Confluence, MS Project, Smartsheet, or equivalent.</li>
</ul>Soft Skills:
<ul><li>Excellent communication, presentation, and documentation skills.</li>
<li>Strong stakeholder management and conflict-resolution abilities.</li>
<li>Highly organized, detail-oriented, and proactive in identifying risks and issues.</li>
<li>Ability to work in a fast-paced, dynamic environment.</li>
</ul>Preferred Qualifications:
<ul><li>Certified Scrum Master (CSM), PMI-ACP, PMP, or equivalent certifications.</li>
<li>Experience in data modernization, cloud data platform implementation, or enterprise analytics programs.</li>
<li>Experience in regulated industries (finance, healthcare, insurance) is a plus.</li>
</ul>Deliverables :
<ul><li>Process Flows</li>
<li>Mentor and Knowledge transfer to client project team members</li>
<li>Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility</li>
<li>Participate in data conversion and data maintenance</li>
<li>Provide best practice and industry specific solutions</li>
<li>Advise on and provide alternative (out of the box) solutions</li>
<li>Provide thought leadership as well as hands on technical configuration/development as needed.</li>
<li>Participate as a team member of the functional team</li>
<li>Perform other duties as assigned.</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

Risk Analytics Lead

Dynamic Management Associates

Dynamic Management Associates are seeking a Data Analytics Lead to support enterprise-wide analytics and data management activities, providing actionable insights to support acquisition decision-making, performance tracking, and program reporting. This role develops dashboards, analytics reports, and predictive insights for VA leadership.Key Responsibilities<ul><li>Collect, process, and analyze large datasets to identify trends and insights</li><li>Develop dashboards and data visualizations (e.g., Power BI, CRM systems)</li><li>Support predictive analytics and performance metrics tracking</li><li>Produce reports supporting acquisition and program decisions</li><li>Integrate data from multiple sources to support enterprise analytics</li><li>Support OSDBU and program leadership data requirements</li></ul>Required Qualifications<ul><li>Bachelor's degree from Accredited Institution</li><li>Minimum 8 years of experience in data analytics or business intelligence</li><li>Experience with data visualization tools (Power BI, Excel, CRM systems)</li><li>Strong statistical and analytical capabilities</li><li>Experience supporting Federal programs or acquisition environments</li><li>Ability to translate data into actionable insights</li></ul>Pay: From $165,000.00 per yearEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>data analytics or business intelligence: 8 years (Required)</li><li>data visualization tools (Power BI, Excel, CRM systems): 8 years (Preferred)</li></ul>Work Location: Hybrid remote in Washington, DC 20001

Enterprise Data Analytics Lead

Vizient, Inc.

<div><div><div><div><div>When you&rsquo;re the best, we&rsquo;re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary: 
In this role, you will lead complex data and financial analytics initiatives that drive strategic decision-making and measurable business outcomes. You will manage high-impact projects, apply advanced modeling techniques to large and diverse datasets, and partner with senior leadership to evaluate and improve business processes. You will deliver customized insights, influence executive decisions, and guide team members in applying best practices to support organizational priorities and client needs.
Responsibilities:<ul><li>
Lead complex data and financial analytics projects with moderate risk and resource requirements.</li><li>
Deliver customized analyses using internal and external structured and unstructured datasets.</li><li>
Apply advanced statistical and financial modeling techniques to large data sets.</li><li>
Identify gaps in reporting and analytical processes and implement improvements.</li><li>
Evaluate business processes and recommend strategic enhancements in partnership with senior leadership.</li><li>
Influence executive decision-making through clear presentation of data-driven insights.</li><li>
Facilitate stakeholder meetings to gather requirements and assess current business processes.</li><li>
Develop professional recommendations and present preferred courses of action to leadership and clients.</li><li>
Guide and mentor team members on analytical methodologies and best practices.</li><li>
Build and maintain strong relationships with internal leaders and clients to align on desired outcomes.</li></ul>
Qualifications:<ul><li>
Relevant degree (e.g., Data Analytics, Finance, Supply Chain, Business, or related discipline) preferred. Advanced degree desired.</li><li>
7 or more years of relevant experience required.</li><li>
Advanced proficiency in data analytics, financial modeling, and statistical analysis techniques required.</li><li>
Experience with healthcare supply chain analytics, including knowledge of key supply chain metrics (e.g., cost savings, utilization, contract compliance, and performance benchmarking), required.</li><li>
Experience leading cross-functional analytics initiatives and working with large, complex datasets from multiple sources required.</li><li>
Strong technical proficiency in analytics, visualization, and AI-enabled tools such as SQL, Python, R, Power BI, Tableau, machine learning frameworks, and generative AI platforms.</li><li>
Demonstrated ability to present complex analytical insights to C-suite and executive leadership and influence strategic decision-making.</li><li>
Excellent written and verbal communication skills.</li><li>
Strong project management and organizational skills.</li><li>
Willingness to travel.
</li></ul>Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.</div></div></div></div></div>

Data & Financial Analytics Lead

PNC Financial Services Group

Job Profile
 
Position Overview
 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 Business Analytics Lead within PNC's Balance Sheet Analytics & Modeling Marketing & Customer Analytics organization, you will be based in Pittsburgh, PA, Tysons Corner or Vienna, VA or Wilmington, DE.
 
Role Overview: 
The Business Analytics Lead on PNC’s Customer Interaction Management Strategy & Analytics team will provide senior analytical leadership to optimize the bank’s centralized marketing decisioning engine and drive customer and business outcomes. The role focuses on improving the quality, performance, and stability of self learning models by developing analyses and business cases while partnering closely with data science teams and key business stakeholders. The Lead will shape and govern decision inputs, including algorithm refinement, value frameworks, propensity models, constraints, and business rules, while incorporating enterprise and channel context and ensuring regulatory compliance.
 
Preferred skills and experience: 
<ul>
<li>5+ years of progressive experience in marketing, customer, or decision analytics (preferably in financial services), with demonstrated career growth, strong results orientation, and increasing ownership of complex analytical problems – Pegasystems CDH experience is advantageous.</li>
<li>Success in this role requires strong leadership and communication skills, effective cross functional collaboration, and the ability to translate model driven decisions into clear business and customer impact.</li>
<li>Experience in coding languages Python & SQL, strong understanding of modeling and model development.</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.
 
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
 
Job Description
 Leads the analytics processes across multiple functions or business units leveraging an array of complex analytical tools to create data driven solutions. Serves as mentor to more junior employees.
 Consults with clients and mentors consultants on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.
 Determining the optimal analytic approach and supporting development, implementation and enhancements.
 Assists peers with guidance on analytic approaches related to more complex solutions.
 Conceptualizing, developing and continuously optimizing analytical solutions for business leadership to enable data driven decision making.
 Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.
 
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
 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.
 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.
 
Qualifications
 
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.
 
Preferred Skills Analytical Thinking, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic Planning
 
Competencies Analytical Thinking, Business Acumen, Business Analytics, Consulting, Decision Making and Critical Thinking, Effective Communications, Emerging Technologies
 
Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
 
Education Bachelors
 
Certifications No Required Certification(s)
 
Licenses No Required License(s)
 
Pay Transparency
 Base Salary: $71,500.00 – $154,000.00
 
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.
 
Application Window
 Generally, this opening is expected to be posted for two business days from 03/18/2026, although it may be longer with business discretion.
 
Benefits
 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.
 
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.
 
To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com .
 
Disability Accommodations Statement
 
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.
 
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.
 
Equal Employment Opportunity (EEO)
 
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.
 
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.
 
California Residents
 
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.

Business Analytics Lead - Marketing & Customer Analytics

KeyBank

Location: 
For Those Who Work At Home, Ohio
 
ABOUT THE JOB (JOB BRIEF)
 Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Often large in scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.
 
ESSENTIAL JOB FUNCTIONS
 Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
 Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis
 Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
 Use critical thinking to use the right approach for each problem statement
 Anticipate business need and make continuous improvements to models and processes
 
REQUIRED QUALIFICATIONS
 Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 2 years of relevant experience; 1 with Master’s or PhD
 
DATA LITERACY
 Understanding of and ability to: Create data structures / transformations
 Identify and capture different types of information for business needs or necessary for analysis
 Data controls
 Hypothesis testing / root-cause analysis
 Leverage and anticipate considerations in implementation
 
TECHNOLOGY & TECHNIQUES
 Advanced Microsoft Office Suite
 SQL/NoSQLRelationship data structure
 Selecting and retrieving data including unstructured data retrieval, archival, and ETL
 Databases
 
Advanced Python/R/SAS: Databases
 Efficient coding
 Can build strong code controls and translate code into high-level commentary
 
Understanding of and ability to leverage: Cloud-based computing
 Distributed computing
 
MODEL BUILDING & MAINTENANCE
 Understanding of: Model use, requirements, and implementation needs
 Model Risk Management process and foundations
 Testing for deterioration and model health
 Scale and fundamental concepts of Machine Learning
 How statistical measurements are used
 Advanced data techniques for modeling frameworks
 
Ability to: Produce and identify information through statistical analysis
 Effectively explain model insights to peers and analytics community
 Identify preferred approach given the problem statement
 
EXPECTED COMPETENCIES
 Leadership: Some self-direction, likely will need some guidance and supervision; Starting to anticipate possible business problems – improving something that already exists
 Partnering / Influencing: Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or “working group” level; Building influencing skills; demonstrated in area of expertise or assigned LOB
 Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts
 Critical Thinking / Problem Solving: Demonstrates critical thinking; Analyzes, identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the “why” question; Starting to understand impacts / intersections with others
 Communication: Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills
 
COMPENSATION AND BENEFITS
 This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
 Please click here for a list of benefits for which this position is eligible.
 
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
 
Job Posting Expiration Date: 04/17/2026
 
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
 Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
 
#LI-Remote

Quant Analytics Lead Associate

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