Manager, Workforce Planning & Analytics at Calance US
Plano, TX 75024, USA -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

0.0

Posted On

06 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Finance, Metrics, Hr Strategy, Tableau, Talent Management, Programming Languages, R, Workforce Planning, Sql, Recruiting, Sap, Python, Data Analytics, Power Bi

Industry

Human Resources/HR

Description

FOR IMMEDIATE DETAILS about this position, please feel free to contact ANY of US:
Recruiting Contacts:
Kiana Arevalo (469) 325-3712 or (949) 991-8285 // KArevalo@calance.com
Sumit Kumar (469) 935-4505 // Sumit.Kumar@calance.com

Michell Casey (800) 732-4680 x715 // MCasey@calance.com

* We will NOT accept 3rd Party (C2C) Contractors *

JOB REF#: 43741 - 1426481

Duration: 6+ Months (Contract)
Location: HYBRID - Plano, TX 75024
Pay Rate: OPEN/MARKET RATE (W2 Only)
HYBRID: Works ONSITE 2 days per week (Local Candidates Only)
Seeking to hire a Strategic Workforce Forecasting Manager to lead the development and execution of long-range workforce plans that align with the organization’s business strategy. This role is responsible for analyzing workforce data, forecasting future talent needs, identifying skill gaps, and developing actionable strategies to ensure the organization has the right talent, in the right place, at the right time. Anticipates and plans for long-term human resource needs and trends.

REQUIRED SKILLS/EXPERIENCE:

  • 7+ years overall experience with 3+ years as a Manager
  • 5+ years of progressive experience in Workforce Planning, HR strategy, or Talent Management (Not looking for a Recruiter)
  • In-depth experience with Human Resource and Data/Business analytics, worked as a Data Scientist into HR group
  • In-depth knowledge and experience with Data Analytics, analyzing Workforce Data, Forecasting, including partnering with business leaders, HRBAs, talent management, recruiting, and finance to align metrics with business goals.
  • Technical Data Analysis/data management/data structure, communication in technical side and problem solving
  • Exceptional analytical, problem-solving, project management, and communication skills, both verbal and written
  • Ability to influence across levels and collaborate cross-functionally.
  • Basic understanding of statistical analysis and machine learning concepts
  • Strong understanding of workforce analytics tools, such as Workday, and SAP
  • Experience using Power BI, Tableau, SQL for data querying and management
  • Ability to work collaboratively in a team environment
  • Eagerness to learn and adapt to new technologies and methodologies
  • EDUCATION: Bachelor’s degree in Human Resources, Business, Data Analytics or a related field

DESIRED SKILLS:

- Expertise in programming languages such as Python or R

==========================================

Calance Consultant Benefits Offerings:

  • EPO/PPO Medical Plans
  • HMO/PPO Dental programs

  • Vision - VSP (Vision Plan Summary)

  • 401K Retirement vesting program (VOYA)

  • Paid Bi-Weekly/Direct Deposit
  • Flex Spending Plan
  • Voluntary Life, AD&D, STD or LTD plans
Responsibilities
  • Support the development of the Workforce Strategy through the creation and maintenance of multi-year workforce plans aligned with business objectives through partnership with business leaders.
  • Partner with business leaders, HRBAs, talent management, recruiting, and finance to align metrics with business goals.
  • Conduct scenario planning and labor market analysis to forecast talent capability needs, demand, and supply.
  • Use HR analytics tools to identify trends in hiring, turnover, skills gaps, and workforce demographics.
  • Build dashboards and reports to support workforce decisions and strategy alignment.
  • Track KPIs related to workforce effectiveness and organizational health.
  • Identify opportunities for reskilling, upskilling, and succession planning.
  • Support data collection, cleaning, and preprocessing activities to ensure high-quality datasets.
  • Conduct exploratory data analysis to identify trends, patterns, and insights.
  • Document processes, methodologies, and findings to ensure reproducibility and knowledge sharing.
  • Participate in model validation and performance evaluation to ensure accuracy and reliability.
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