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Data Analytics Manager Jobs in Cleveland, OH (NOW HIRING)

The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis ... Coordinate with data stewards and anticipate needs process/procedures * Make continuous ...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis ... Coordinate with data stewards and anticipate needs process/procedures * Make continuous ...

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

The Business Analytics Manager uses data to perform more complex diagnostic analyses to provide answers to questions such as "Why did it happen?" and "What action can I take?". Guiding a team and/or ...

The Business Analytics Manager uses data to perform more complex diagnostic analyses to provide answers to questions such as "Why did it happen?" and "What action can I take?". Guiding a team and/or ...

... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ... Strong change management skills and comfort navigating ambiguity at the senior client level.

... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ... Strong change management skills and comfort navigating ambiguity at the senior client level.

Analytics & Strategic Insights Analyze operational, customer, and interaction data to identify ... Demonstrated ability to manage multiple priorities and deliver results in a fast-paced environment.

Vitamix is seeking a Sales Analytics Manager who is responsible for transforming sales data into a ... The Manager will leverage data and collaborate with cross-functional partners to ensure that sales ...

Vitamix is seeking a Sales Analytics Manager who is responsible for transforming sales data into a ... The Manager will leverage data and collaborate with cross-functional partners to ensure that sales ...

The Sales Analytics Manager leads the analytical approach/strategy for the team and serves as a ... Drive gold standard analytical behavior, data integrity, reliability, and timeliness across a team

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Data Analytics Manager information

See Cleveland, OH salary details

$30K

$94.1K

$166.6K

How much do data analytics manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analytics manager in Cleveland, OH is $94,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $121,500.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Cleveland, OH?

The most popular types of Data Analytics jobs in Cleveland, OH are:

What are popular job titles related to Data Analytics Manager jobs in Cleveland, OH?

For Data Analytics Manager jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Cleveland, OH look for?

The top searched job categories for Data Analytics Manager jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Data Analytics Manager jobs?

Cities near Cleveland, OH with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Cleveland, OH as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $94,070 per year, or $45.2 per hour.

Business Analytics Manager Senior - Consumer Data Solutions & Analytics

PNC Bank

Cleveland, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

88th of 171 rated banks


Job description

Position OverviewAt 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 Manager Senior within PNC's Consumer Data Solutions & Analytics organization, you will be based in Pittsburgh, or Philadelphia, PA; Cleveland, OH; Washington, DC; or Tyson's Corner, VA.
Job Overview:
The Consumer Data Solutions & Analytics team is seeking a highly motivated and strategic Business Analytics Manager Senior to lead analytics and data management initiatives across the customer data domain. The role will focus on improving the quality, completeness, accuracy, consistency, lineage, and control of customer data used in business operations, risk management, regulatory compliance, and customer-focused decisions.
The ideal candidate brings deep experience in customer data, data quality management, data governance, and risk and compliance environments. This individual will partner with business, technology, data governance, risk, legal, and compliance stakeholders to define data requirements, identify control gaps, resolve data issues, and deliver sustainable, auditable solutions that support enterprise standards and regulatory obligations.
Key Responsibilities:
Lead complex analytics and data management initiatives involving customer identity, profile, contact, account relationship, consent, preference, and other customer-domain data.
Define, implement, and monitor data quality rules and controls for completeness, accuracy, validity, consistency, timeliness, uniqueness, and integrity.
Analyze customer data across source systems, master data platforms, and downstream applications to identify anomalies, gaps, reconciliation breaks, and systemic root causes.
Build and maintain data quality dashboards, scorecards, exception reports, and management reporting using SQL, Python, Tableau, or Power BI.
Establish measurable data quality thresholds, key performance indicators, key risk indicators, issue escalation criteria, and remediation tracking.
Partner with data owners, data stewards, technology teams, and business users to document data definitions, lineage, business rules, controls, and ownership.
Support regulatory compliance, audit, and risk management activities by producing traceable analysis, control evidence, impact assessments, and remediation reporting.
Assess customer data risks, translate regulatory and policy expectations into analytical or control requirements, and identify opportunities to strengthen preventive and detective controls.
Coordinate issue management from identification and prioritization through root-cause analysis, corrective action, validation, closure, and ongoing monitoring.
Communicate customer data risks, quality trends, control effectiveness, and remediation status to senior leaders and cross-functional stakeholders.
Drive automation and standardization of data profiling, validation, reconciliation, exception management, and reporting processes.
Mentor analysts and promote consistent practices for customer data analysis, data quality testing, documentation, and control execution.
Required Experience & Skills:
8+ years of experience in: Data Analytics, Business Analytics, Business Intelligence, and/or Data-Driven Decision Support.
Strong experience presenting complex analytical findings to business and executive stakeholders.
Demonstrated success communicating with cross-functional teams and senior leadership.
Strong analytical thinking and problem-solving abilities.
Experience supporting Risk Management, Governance, Compliance, or Regulatory-focused initiatives.
Advanced SQL expertise including: Complex Queries, Joins, Aggregations, Subqueries, Data Validation, and Performance Optimization.
Strong Python programming and coding experience including: Data Analysis, Data Manipulation, Reporting Automation, Data Quality Monitoring, and Predictive Analytics.
Experience developing dashboards and visualizations using Tableau or Power BI
Experience working within customer-focused data environments and consumer data domains.
Strong presentation, communication, and stakeholder management skills.
Ability to influence business decisions through analytics and data storytelling.
Preferred Qualifications:
Experience with Generative AI solutions, Large Language Models (LLMs), prompt engineering, or AI-powered business applications.
Banking, Consumer Finance, FinTech, or Financial Services industry experience.
Experience supporting Regulatory Reporting, Risk Analytics, Customer Analytics, Fraud Analytics, or Compliance Analytics
Knowledge of data governance frameworks and enterprise data management practices.
Experience leading analytics strategy and enterprise reporting initiatives.
Familiarity with machine learning, predictive analytics, and advanced statistical modeling.
Experience partnering with Risk, Compliance, Legal, Technology, and Product teams.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
  • Directs the strategic design, management, and implementation of an enterprise-wide business analytics programs to drive customer solutions, service innovation and profitability.
  • Leads development and execution of complex analytical solutions to meet business requirements .
  • Leading the research, development and adoption of new and emerging analytics technologies; identifying technology-based business opportunities.
  • Implementing mechanisms for ensuring that information provided is accurate, meaningful, has integrity, manages risk and meets the needs of the senior leadership.
  • Directing, motivating, developing and managing the performance of the management team and key staff.

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.

PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:

  • Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.
  • Live the Values - Role models our values with transparency and courage.
  • Enable Change - Takes action to drive change and innovation that will transform our business.
  • Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
  • Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.
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 SkillsAnalytical Thinking, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic PlanningCompetenciesAnalytical Thinking, Business Analytics, Business Case Justification, Effective Communications, Emerging Technologies, Organizational Savvy and PoliticsWork ExperienceRoles 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.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Language AssessmentsNo Required or Preferred Language AssessmentsPay TransparencyBase Salary: $123,200.00 - $274,560.00Salaries 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 WindowGenerally, this opening is expected to be posted for two business days from 08/21/2026, although it may be longer with business discretion.BenefitsPNC 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, visitpncthrive.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.


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