Workforce Planning

Workforce Planning Data Jobs

6 jobs found

1mo ago

HR Data Analyst & Reporting

Atlas Air Stamford, CT

Stamford, CT

1mo ago Closed

$104k - $141k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Atlas Air is seeking an HR Data Analyst and Reporting professional to transform workforce data into actionable insights, build dashboards and reports, and collaborate with HR, Finance, and leadership to support workforce planning and informed decision-making.

Responsibilities

Analyze HR data from multiple systems, including Dayforce, applicant tracking systems, and engagement tools, to uncover trends and insights
Develop dashboards and reports to support workforce planning, turnover analysis, and organizational effectiveness
Conduct deep-dive analyses on attrition, hiring, performance ratings, and compensation outcomes
Translate complex data into clear, actionable insights for executive leadership
Explore opportunities to leverage AI-enabled tools and automation to improve reporting efficiency, trend analysis, and insight generation
Support development of predictive and forward-looking workforce analytics capabilities
Build and maintain standardized and ad hoc reports for HR and business leaders
Design executive-level dashboards covering headcount, diversity, compensation, and hiring metrics
Ensure data accuracy, consistency, and integrity across reporting outputs
Evaluate emerging analytics and visualization technologies, including AI-assisted reporting capabilities, to enhance decision-making
Support workforce planning efforts with data-driven insights such as headcount forecasting and vacancy trends
Analyze compensation and pay equity trends in partnership with the Compensation team
Support performance management analytics, including rating distributions and calibration insights
Maintain data quality standards and collaborate with HRIS to resolve data integrity issues
Support development of data definitions, governance frameworks, and reporting standards
Ensure compliance with data privacy and security policies
Partner with HR leaders across Compensation, Benefits, HRIS, and Talent Acquisition to understand business needs
Provide data-driven recommendations to improve HR programs and processes
Support executive reporting and presentations with clear data storytelling

Requirements

Bachelor’s degree in Data Analytics, Human Resources, Business, or a related field
3–6 years of experience in HR analytics, data analysis, or a related role
Strong Excel skills, including pivot tables, advanced formulas, and data modeling
Experience with HRIS systems
Experience with data visualization tools such as Tableau or Power BI
Familiarity with SQL or other data querying tools is preferred
Exposure to AI-assisted analytics tools (eg, Microsoft Copilot, ChatGPT, Claude, Power BI AI capabilities) is preferred
Knowledge of predictive analytics concepts and workforce modeling is a plus
Strong analytical and problem-solving abilities
Ability to translate data into actionable business insights and recommendations
High attention to detail and commitment to data accuracy
Excellent communication and stakeholder management skills
Ability to work independently and manage multiple priorities

Technologies

Dayforce
ATS
HRIS
Excel
Tableau
Power BI
SQL
Microsoft Copilot
ChatGPT
Claude

Location

Stamford, CT (hybrid)

Compensation

USD 104,000 - 141,000 per year

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1mo ago

Data Analyst

Bridgeline Solutions Chicago, IL

Chicago, IL

1mo ago Closed

$40 - $55/hr Contract Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Bridgeline Solutions is seeking an HR Data Analyst to drive workforce reporting and analytics for its Chicago, IL team. The role operates on a hybrid schedule and begins with a 3-month contract, with a strong likelihood of extension.

Responsibilities

Analyze workforce data, both quantitative and qualitative, and produce clear, accurate reports
Create and maintain recurring reports and dashboards for internal stakeholders
Compute representation, retention, attrition, and other key workforce metrics
Provide validated, reliable information in response to internal and client data requests
Support demographic self identification efforts and workforce data initiatives
Identify and report staffing, workforce, and assignment trends over time
Prepare submissions for external surveys, certifications, rankings, and benchmarking programs
Collaborate with stakeholders across the organization to deliver meaningful insights and recommendations

Requirements

At least 3 years of experience in a data analysis, reporting, or workforce analytics role
Experience in a law firm environment
Advanced Microsoft Excel skills, including pivot tables, complex formulas, trend analysis, and rate calculations
Experience with Tableau, Power BI, or a similar business intelligence platform
Strong data validation, reconciliation, and comparative analysis abilities
Experience working with databases and structured data sources
Ability to communicate findings and methodologies to non technical audiences
Proficiency with Microsoft Office applications
Bachelor's degree
Experience with HRIS, CRM, or other workforce reporting systems
SQL or other data querying and scripting experience
Experience in a law office setting for at least 1 year is required

Technologies

Tableau
Power BI
Microsoft Excel
SQL
HRIS
CRM

Details

Location: Chicago, IL (Loop)
Schedule: Hybrid, three days onsite per week
Hours: Monday through Friday
Duration: Initial 3-month contract with strong potential for extension

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1mo ago

Sr Data Scientist, Demand Planning

Intuit San Diego, CA

San Diego, CA

1mo ago Closed

$150k - $203k/yr Full time Analytics Big Data Business Intelligence

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Intuit offers a benefits-forward culture with a cash bonus, equity rewards, and a comprehensive benefits package. This on-site role is based in San Diego, CA.

Location: San Diego, CA (onsite)

Salary: USD 149,500 - 202,500 per year

Overview

Intuit is seeking a Senior Data Scientist to own demand planning for the Full Service offering within the Consumer Group's Expert Network. You will be the primary modeler and analyst for forecasting Full Service Order volume, translating funnel signals into staffing inputs, and improving forecast accuracy across pre-season, in-season, and off-season horizons. This is an individual-contributor role with high visibility and cross-functional influence on workforce decisions.

What you will do

Lead end-to-end demand forecasting for Full Service, from early-season outlook to real-time in-season adjustments
Develop and maintain models that convert funnel signals (trade-up rates, FSO attach, offer acceptance) into actionable demand inputs for capacity planning
Produce interval-level, daily, and weekly forecasts that inform staffing and partner capacity across internal systems and external channels
Advance forecasting methodology by blending time-series models, regression approaches, and machine learning techniques to improve accuracy
Build scenario models with confidence intervals to quantify risk, including upside and downside demand cases for peak season
Explore and incorporate new signal sources such as marketing spend curves, product funnel data, historical tax filing trends, and macro indicators
Serve as the embedded data science partner for Workforce Management and Capacity Planning, translating outputs into staffing recommendations and operational levers
Collaborate with Finance on demand-to-revenue reconciliation and capacity cost modeling
Work with Marketing and Product on offer strategy and its downstream demand impact, including FSO trade-up promotions and LT offer windows
Support real-time in-season analytics, tracking WIP burndown, FSO funnel conversion, and coverage gap signals
Build and maintain dashboards and data products that surface demand risk to operational and leadership audiences
Contribute to post-season retrospectives on forecast accuracy, bias analysis, and methodology improvements
Write and maintain production-quality SQL and Python code against Intuit's datalake datasets related to capacity planning and FSO funnels
Partner with Data Engineering to improve upstream data quality and pipeline reliability for forecasting use cases
Document models, assumptions, and methodologies to enable reproducibility and stakeholder trust

Requirements

3+ years of experience in data science or quantitative analytics with a focus on forecasting, demand planning, or supply-demand modeling
Strong proficiency in Python (pandas, statsmodels, scikit-learn) and SQL in large-scale data environments
Hands-on experience building and deploying time-series or demand forecasting models in production or operational contexts
Ability to work cross-functionally and communicate model outputs to non-technical stakeholders, including senior leaders
Comfort operating in ambiguous, fast-moving environments, especially during high-stakes operational windows
Bachelor's or Master's degree in Statistics, Data Science, Operations Research, Mathematics, or related quantitative field

Technologies

Python
SQL
pandas
statsmodels
scikit-learn
datalake

Benefits

Cash bonus
Equity rewards
Benefits

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1mo ago

Staff Data Analyst

Qualcomm Austin, TX

Austin, TX

1mo ago Closed

$130k - $185k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

This onsite role in Austin, TX for Qualcomm focuses on performance and people analytics to inform talent strategy and leadership decisions.

Responsibilities

Evaluate employee performance data to uncover trends, patterns, and opportunities for improvement.
Design, build, and maintain performance dashboards and reports for diverse stakeholders.
Deliver deep-dive analyses and actionable insights to guide business decisions.
Perform comprehensive people analytics to assess workforce dynamics, engagement, retention, and other HR metrics.
Run scenario analyses to inform talent strategy and planning.
Partner with HR to advance data-driven approaches to talent acquisition, development, and retention.
Collaborate with senior leaders to understand requirements and deliver tailored analytics solutions.
Present findings and recommendations to executive leadership in a clear, compelling manner.
Serve as a trusted advisor to HR and business leaders on performance and people analytics topics.
Apply advanced statistical methods and analytical tools to complex datasets.
Improve data collection processes and systems to enhance data quality and accessibility.
Stay current with industry trends and best practices in performance and people analytics, plus data science.
Lead and manage small to mid-size performance and people analytics projects from inception to completion.
Ensure timely delivery of high-quality analytical outputs.
Coordinate with cross-functional teams to drive performance and people related improvement initiatives.

Requirements

Bachelor's degree or equivalent abroad in Statistics, Data Science, Business Analytics, Business Administration, or a related field.
Minimum 3 years of experience in a related role.

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2mo ago

Data Analyst 1

West Virginia Charleston, WV

Charleston, WV

2mo ago Closed

$33k - $56k/yr Full time Analyst Data Analysis Data Analytics

This position is no longer accepting applications (closed Jul 15, 2026).

Job Description

West Virginia's WorkForce West Virginia Bureau of Labor Market Information seeks a Data Analyst I to illuminate the state’s evolving economy. This onsite role in Charleston centers on collecting, analyzing, and reporting economic and workforce data, generating employment projections and wage estimates, maintaining website data, and supporting surveys, with occasional travel as needed. The position offers a yearly salary ranging from USD 32,862 to 56,373.

Responsibilities

Collect, compile, and analyze economic, occupational, and workforce data from diverse sources such as research studies, state records, and federal surveys.
Become proficient with a specialized data system to monitor and estimate West Virginia’s economic and employment trends.
Produce long-term and short-term employment projections, along with employment and wage estimates for state and local workforce areas.
Analyze labor market and economic data to craft clear data summaries and author routine publications and special reports, including the West Virginia Annual Economic Review.
Assemble, update, and maintain workforce data for the Division’s website and respond promptly to time-sensitive data requests from the public and private sectors.
Collaborate with internal teams to design data collection methods and execute targeted surveys for unique research projects and reports.
Occasional in-state and out-of-state travel may be required.
Perform other related duties as assigned.

Requirements

Research-minded and detail-oriented.
Ability to quickly master a specialized data system.
Capability to generate both long-term and short-term employment projections and wage estimates.
Skill to analyze labor market and economic data to write clear data summaries and author publications and reports.
Aptitude to compile, update, and maintain workforce data for the Division’s website.
Capacity to field time-sensitive data requests from the public and private sectors.
Ability to collaborate with internal team members to devise data collection methods and execute targeted surveys.
Willingness to travel occasionally (in-state and out-of-state).

Supplemental Information

Applications may be submitted by email to WorkForce.HumanResources@wv.gov or by mail to Human Resources WorkForce West Virginia, 1900 Kanawha Blvd. East, Building 3, Suite 400, Charleston, WV 25305. Please include the job posting number WF260052 on your application. The Division of Personnel online application is available through a link provided by the agency and should be accessed under the "Current and Former State Employees" section. Applications mailed to the Division of Personnel (DOP) or completed via DOP’s online process are not forwarded to our agency for internal postings of classified positions.

Attention: Be sure to submit an application for each position of interest. To receive email notices for new jobs in this or other categories, consider submitting a Job Interest Card from the slide-out menu on the Job Opportunities page.

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2mo ago

Corporate Recruiter - Technology, Data & Analytics

Skechers USA, Inc. Hermosa Beach, CA

Hermosa Beach, CA

2mo ago Closed

$90k - $115k/yr Full time Advisor Application Tracking System Business Partner

This position is no longer accepting applications (closed Jul 8, 2026).

Job Description

Skechers is seeking an onsite Corporate Recruiter to lead full-cycle hiring across Technology, Data & Analytics, and Digital teams in Hermosa Beach, CA.

Responsibilities

Lead end-to-end recruitment for Technology, Data & Analytics, and Digital roles at all levels.
Conduct intake sessions with hiring managers to capture role requirements, team dynamics, and success profiles.
Design proactive sourcing approaches using LinkedIn Recruiter, talent intelligence tools, and targeted outreach to engage passive candidates in nice and competitive markets.
Build and maintain high-impact talent pipelines through proactive networking, talent mapping, and long-term relationship management.
Advise hiring managers and HR Business Partners with regular pipeline updates, market intelligence, and data-driven recommendations aligned with business priorities.
Guide salary benchmarking and negotiate offers to secure top talent in competitive markets.
Develop a working understanding of various tech stacks and frameworks to effectively represent and assess engineering and data roles.

Requirements

Bachelor's degree in Human Resources, Business, or a related field, or equivalent experience preferred.
3+ years of full-cycle technical recruiting experience, in-house or with a staffing agency.
Demonstrated experience recruiting for roles across engineering, data & analytics, security, and related technical functions.
Proficiency with Applicant Tracking Systems; experience with Workday or comparable platforms a plus.
Ability to flex across corporate functions, supporting recruiting efforts outside of Technology as business needs arise.

Technologies

LinkedIn Recruiter
Workday

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Workforce Planning Data Jobs

HR Data Analyst & Reporting

Data Analyst

Sr Data Scientist, Demand Planning

Staff Data Analyst

Data Analyst 1

Corporate Recruiter - Technology, Data & Analytics

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