Paycor
Paycor

60 Paycor Data Analyst Jobs Hiring Near You

People Data & Analytics * Analyze workforce data including headcount, turnover, retention ... Familiarity with HRIS platforms direct experience with Paycor a plus (Paycor, Workday, Oracle, UKG ...

People Data & Analytics * Analyze workforce data including headcount, turnover, retention ... Familiarity with HRIS platforms direct experience with Paycor a plus (Paycor, Workday, Oracle, UKG ...

Data Accuracy: Maintain, reconcile, and audit benefits data in the HRIS/payroll system and vendor ... Knowledge of Paycor, our HRIS software, is beneficial Benefits: * Competitive base salary and ...

Finance Analyst

Saint Louis, MO · On-site

$80K - $90K/yr

Experience working with financial systems such as Paycor, QuickBooks, Bill.com, Oracle, Dodeca, or ... Detail-oriented with the ability to translate complex data into high-level insights for management.

Benefits Consultant - EDI

Saint Petersburg, FL · Remote

$47.60K - $74.80K/yr

... Paycor system configuration to ensure proper functionality and quality; resolve data discrepancies as a result of testing and/or initial production activity within the software * Investigate, analyze ...

Reporting & Analytics * Develops, automates, and maintains recurring reports and dashboards (e.g ... data visualization tools (e.g., Power BI) preferred. * Preferred experience with Paycor and UKG ...

New

Benefits Consultant - EDI

Allentown, PA · Remote

$47.60K - $74.80K/yr

... Paycor system configuration to ensure proper functionality and quality; resolve data discrepancies as a result of testing and/or initial production activity within the software * Investigate, analyze ...

Benefits Consultant - EDI

Cincinnati, OH · Remote

$47.60K - $74.80K/yr

... Paycor system configuration to ensure proper functionality and quality; resolve data discrepancies as a result of testing and/or initial production activity within the software * Investigate, analyze ...

Benefits Consultant - EDI

Phoenix, AZ · Remote

$47.60K - $74.80K/yr

... Paycor system configuration to ensure proper functionality and quality; resolve data discrepancies as a result of testing and/or initial production activity within the software * Investigate, analyze ...

Benefits Consultant - EDI

Cincinnati, OH · On-site

$47.60K - $74.80K/yr

... Paycor system configuration to ensure proper functionality and quality; resolve data discrepancies as a result of testing and/or initial production activity within the software * Investigate, analyze ...

Director of Talent Acquisition

Nashville, TN

$100.50K - $138.20K/yr

... Paycor), etc.) * Strong communication, presentation, and stakeholder management skills * Ethical ... Recruitment metrics literacy, including the ability to track, analyze, and interpret hiring data ...

Benefits Consultant - EDI

Irving, TX · Remote

$47.60K - $74.80K/yr

... Paycor system configuration to ensure proper functionality and quality; resolve data discrepancies as a result of testing and/or initial production activity within the software * Investigate, analyze ...

Payroll and Recruiting Expert

Kalamazoo, MI · On-site

$22.25 - $30.25/hr

... such as Paycor, Paycom, ADP, or similar). The individual in this position must consistently ... Analyze, prepare, and input payroll data including timekeeping, deductions, adjustments, and ...

Benefits Consultant - EDI

Rochester, NY · Remote

$47.60K - $74.80K/yr

... Paycor system configuration to ensure proper functionality and quality; resolve data discrepancies as a result of testing and/or initial production activity within the software * Investigate, analyze ...

next page

Showing results 1-20

Paycor Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Full-time

Posted 27 days ago


Job description

OVERVIEW:  The Business Analyst – People Team serves as a strategic partner to HR and business leaders, translating people data into actionable insights that drive workforce decisions. This role supports People initiatives by analyzing trends, optimizing processes, supporting HR technology implementations, and delivering reporting that improves employee experience and organizational performance.

The ideal candidate blends analytical expertise with HR functional knowledge and thrives in a fast-paced, cross-functional environment

KEY RESPONSIBILITIES:

People Data & Analytics

  • Analyze workforce data including headcount, turnover, retention, engagement, recruiting, compensation, and performance.
  • Build dashboards and reports that provide visibility into People KPIs and trends.
  • Identify insights and recommend actions to improve organizational effectiveness.
  • Support workforce planning and talent strategy through predictive and scenario analysis

Reporting & Dashboard Development

  • Develop and maintain recurring reports (monthly, quarterly, annual).
  • Create executive-ready dashboards and data reports.
  • Automate manual reporting processes to improve efficiency and accuracy.
  • Ensure data integrity across systems.

HR Technology & Systems Support

  • Partner on HRIS, LMS, ATS, and People system implementations and enhancements.
  • Gather business requirements and translate them into technical specifications.
  • Conduct system testing (UAT), validation, and troubleshooting.
  • Support integrations between HR and enterprise systems.

Process Improvement/Development

  • Evaluate current People processes and identify opportunities for optimization.
  • Document workflows, SOPs, and process maps.
  • Lead or support continuous improvement initiatives.
  • Drive standardization and scalability across People operations.
  • Work with other business units and/or subsidiaries to support process improvements across the enterprise.

Stakeholder Partnership

  • Collaborate with HR Business Partners, Talent Acquisition, L&D, Payroll, and Benefits teams.
  • Consult with leaders to understand business challenges and data needs.
  • Present findings and recommendations to People leadership.
  • Support change management and communications related to People initiatives.

Compliance & Data Governance

  • Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA where applicable).
  • Maintain confidentiality of sensitive employee information.
  • Establish data governance standards and audit processes.

Qualifications

  • Bachelor’s degree in Business Analytics, Human Resources, Finance, Information Systems, or related field.
  • Master’s degree or HR/Analytics certification preferred.
  • 3–5+ years of experience in Business Analysis, HR Analytics, or People Operations.
  • Experience working within HR or People teams strongly preferred.
  • Experience supporting HR technology implementations is a plus.
  • Advanced Excel (pivot tables, Power Query, formulas, macros).
  • Experience with BI tools (Power BI, Tableau, Qlik, etc.).
  • Familiarity with HRIS platforms direct experience with Paycor a plus (Paycor, Workday, Oracle, UKG, ADP, SAP SuccessFactors, etc.).
  • Knowledge of ATS and LMS systems preferred.
  • Basic SQL or data querying skills a plus.
  • Experience with data visualization and storytelling

*MarineMax and its subsidiaries uses E-Verify, an Internet-based system, to confirm the eligibility of all newly hired employees to work in the United States. Learn more about E-Verify, including your rights and responsibilities.