Data Analyst for HR Workforce Planning

Job Title: Data Analyst

Location: Concord NH – 100% Remote

Duration: 6+ Months with possible extension

Terms: Contract W2

Description:

100% US Remote

Standard Monday–Friday, approximately 8:00 AM – 4:00 PM local time

6-month engagement

Seeking a hands-on Data Analyst with strong operational analytics experience supporting HR, workforce planning, or resource management functions. Ideal candidates will have advanced Excel skills (pivot tables, VLOOKUPs, forecasting models), experience working with large and complex datasets, and the ability to clean, validate, transform, and integrate data from multiple systems. Candidates should also have practical Power BI experience creating executive-level dashboards and visualizations. This role is best suited for someone who enjoys doing the day-to-day analytical work rather than operating strictly at a strategic or presentation layer.

We are seeking a highly detail-oriented analyst to support execution tracking and operational management of the GDO hiring plan. This role will focus on maintaining data integrity across multiple hiring and onboarding data sources, enabling accurate reporting, and supporting end-to-end visibility from hiring plan through onboarding readiness.

This is a critical role to ensure data consistency, streamline reporting, and support decision-making as GDO scales hiring across multiple programs and transitions.

Key Responsibilities

• Perform ongoing data entry and maintenance within SmartSheet

• Manage and clean complex datasets from multiple systems

• Validate and transform workforce/resource management data

• Build and maintain forecasting models in Excel

• Develop Power BI dashboards and executive-ready reporting visualizations

• Support operational analytics and workforce planning initiatives

• Handle large datasets exceeding 10,000+ lines of data

Preferred Background

• Bachelor’s degree required

• Preferred experience level closer to:

o Bachelor’s + 5 years of relevant experience

• Strong preference for candidates with:

o HR data analytics experience

o Workforce planning analytics

o Resource management analytics

o Operational analytics environments

Top 3 Must Have Skill Sets:

3+ years of experience working with large datasets in an operations, analytics, or workforce planning environment

Strong data management skills, including data entry, cleansing, and validation

Proficiency in Excel (advanced), and experience with tools such as Smartsheet, Power BI, or similar platforms

Day to Day Responsibilities:

Hiring Plan Tracking & Data Management

Maintain and update centralized hiring plan datasets across tools (e.g., Smartsheet, OrgVue, CapCity)

Execute timely and accurate data entry for hiring plan updates, including roles, batches, onboarding status, and transitions

Perform ongoing data validation to identify and resolve discrepancies (e.g., duplicate roles, inconsistent classifications, missing fields)

Data Transformation & Integration

Consolidate and align data from multiple sources into a unified dataset to enable reporting and dashboarding

Support transformation of raw data into structured formats for Power BI or reporting tools

Identify gaps in data fields (e.g., screening status, interview stages, financials) and recommend enhancements

Execution & Reporting Support

Generate and maintain tracking reports on hiring progress, onboarding status, and execution risks

Support weekly and monthly reporting cycles by ensuring data is current, complete, and reconciled

Partner with execution leads to validate hiring data and flag risks or delays (e.g., pipeline bottlenecks, onboarding readiness gaps)

Program Transition & Onboarding Coordination

Overlay hiring plan data with program transitions (e.g., ACT FAST, TWFS, or similar initiatives)

Track movement of roles across functions or programs and ensure alignment with onboarding readiness

Support tracking of onboarding activities, including coordination inputs (e.g., trainer assignments, onboarding timelines)

Data Governance & Process Improvement

Help establish and maintain a clear “source of truth” for hiring plan and onboarding data

Identify opportunities to simplify tracking processes and reduce duplication across systems

Document data definitions, processes, and assumptions to improve consistency