Sr. HR Data Specialist, Data Analytics

### **General Information**

Req \#

WD00100657

Career area

Human Resources

Country/Region

India

State

Karnataka

City

BANGALORE

Date

Friday, June 12, 2026

Working time

Full\-time

**Additional Locations**

• India \- Karnātaka \- Bangalore
• India \- Karnātaka \- BANGALORE

### **Why Work at Lenovo**

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked \#196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full\-stack portfolio of AI\-enabled, AI\-ready, and AI\-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world\-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992\) (ADR: LNVGY).

This transformation together with Lenovo’s world\-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

### **Description and Requirements**

• *Role Details \-**

This is a full\-time **Senior People Analytics Specialist** (Individual Contributor) role based in Lenovo Global People Analytics team based out of Bangalore.

The position is part of the global People Analytics team and focuses on building advanced analytics capabilities while driving automation and operational efficiency across HR data and reporting processes.

The role will work closely with HR, and cross\-functional teams to develop scalable data solutions, predictive insights, and automated workflows that enhance decision\-making and reduce manual effort.

This position is ideal for a technically strong analytics professional who enjoys working with data, building models, and improving systems through automation.

• *Required Skill Set:**

• **Python** \- Pandas, NumPy; Experience in modeling and data processing
• **SQL**
• **Power BI**
• **Statistical \& Analytical Skills \-** Regression, classification, clustering, Hypothesis testing etc
• **Power Automate or equivalent workflow tools**
• Strong experience working with **large and complex datasets**

• *Good\-to\-have Skills:**

• Experience with **automation tools**
• Understanding of **data pipelines / ETL processes**
• Exposure to **HR / People Analytics data**
• Basic experience with **APIs / data integration**

• *Location:** Bangalore

• *Designation:** \- Senior HR Analytics Specialist

• *Travel:** 10\-20%

• *Required Educational Background \& Experience: \-**

MBA / MTech /MSC in Mathematics, Statistics, Operations Research, Data Mining, Econometrics, or related fields

3 to 6 years of related experience (HR domain experience is not mandatory but a plus)

• *Reporting to**: HR Manager, People Analytics

Responsibilities

key skills

• Should be able to design, develop, and deploy advanced analytics solutions including predictive models (e.g., attrition risk, workforce segmentation) using structured analytical approaches
• Hands\-on experience working with large, real\-time datasets and strong proficiency in **SQL, Python, and data manipulation techniques** is a must
• Strong understanding of statistical analysis and data modeling techniques including regression, classification, clustering, and hypothesis testing
• Ability to automate reporting and analytics workflows using **Python scripting, workflow tools (e.g., Power Automate), or similar automation frameworks** to improve efficiency and reduce manual effort
• Experience in building scalable data pipelines and working with databases (e.g., MS SQL Server) and data transformation tools; exposure to ETL processes is an advantage
• Should participate in the **end\-to\-end analytics lifecycle** including data extraction, data preparation, modeling, validation, deployment, and ongoing optimization
• Strong problem\-solving skills with the ability to structure analytical problems, identify key variables, and derive meaningful insights from data
• Ability to work independently in a fast\-paced environment, manage multiple priorities, and drive analytical solutions from concept to execution
• Experience with **Power BI,** including data modeling, DAX, and dashboard development

**Additional Locations**

• India \- Karnātaka \- Bangalore
• India \- Karnātaka \- BANGALORE
• India
• India \- Karnātaka

\* India \- Karnātaka \- Bangalore , \* India \- Karnātaka \- BANGALORE

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