Duties and Responsibilities:
Strategy & Leadership
- Act as a
liaison between business teams and technical teams
, ensuring accurate translation of business needs into scalable technical solutions.
- Design and develop
data pipelines
to extract, transform, and load (ETL) HR and workforce-related data efficiently.
- Develop and execute a
comprehensive people analytics strategy
aligned with business objectives.
- Partner with HR, business leaders, and executive teams to
drive data-driven talent strategies
.
- Lead a team of analysts and data professionals to deliver high-impact workforce insights.
Data Analysis & Insights
- Design and implement
HR analytics dashboards
, reports, and predictive models to improve decision-making.
- Analyze
workforce trends, employee engagement, turnover, productivity, and talent acquisition metrics
.
- Utilize advanced analytics techniques, such as
machine learning and predictive modelling
, to forecast workforce needs.
Technology & Data Governance
- Ensure
data integrity, security, and compliance
with privacy regulations (e.g., GDPR, CCPA).
- Partner with IT and HRIS teams to enhance
HR data systems, automation, and reporting capabilities
.
- Implement best practices in
data visualization, storytelling, and reporting
.
Collaboration & Influence
- Work closely with HR leaders to optimize
diversity, equity & inclusion (DEI), performance management, and workforce planning
.
- Act as a trusted advisor to senior executives, translating complex data into actionable insights.
- Advocate for a
data-driven culture
within the HR function and the broader organization.
Education and Experience:
-
10+ years of experience
in HR analytics, workforce planning, or related fields.
- Proven leadership experience in
building and managing analytics teams
.
- Strong expertise in
HR metrics, statistical analysis, and predictive modelling
.
Technical Skills
- Understanding of
AI and machine learning applications in HR analytics
.
-
Programming:
Proficiency in Python, SQL, or R
for data analysis and automation.
-
Data Engineering:
Experience with ETL pipelines, APIs, and cloud data platforms (AWS, Azure, GCP)
.
-
Big Data & Analytics
: Expertise in Databricks, Spark (PySpark), TensorFlow
(preferred).
-
Database Management:
Strong knowledge of SQL, relational databases (PostgreSQL, MySQL, Redshift, Snowflake, etc.)
.
-
Visualization:
Expertise in Power BI, Tableau, or Looker
for building HR dashboards.
-
HRIS & ERP Systems:
Experience working with Workday, SAP, Oracle HR, or similar
.
-
Big Data & Machine Learning (Preferred):
Exposure to PySpark, TensorFlow, or predictive analytics
is a plus.
Soft Skills
- Strong
business acumen
with the ability to connect data insights to organizational strategy.
- Excellent
communication and storytelling skills
to translate data into actionable recommendations.
- Ability to collaborate and
influence stakeholders
across different business units.
Preferred Qualifications
- Experience in large-scale organizations or multinational companies .
- Exposure to DEI analytics, employee engagement, and organizational network analysis .
- Certification in People Analytics or HR Data Science is a plus.
Desired Skills/Certifications:
- Microsoft and Azure based certifications with focus on Data
Physical Requirement(s):
No Physical requirement is needed for this position.
