QU

Data Analyst, Staff

Qualcomm
Bangalore4-7 LPA Posted 26 May 2025
FULL TIME
hr metrics
Data Visualization
Sql
Python

Job Description

  • People Analytics & Insights
  • Analyze HR and workforce data to identify trends, generate insights, and provide recommendations to business and HR leaders.
  • Develop thoughtful insights to support ongoing HR and business decision-making.
  • Present findings in a clear and compelling way to stakeholders at various levels, including senior leadership.
  • Data Quality & Governance
  • Ensure accuracy, consistency, and completeness of data when pulling from the data lake and other sources.
  • Identify and troubleshoot data inconsistencies, collaborating with IT and other teams to resolve issues.
  • Document and maintain data definitions, sources, and reporting standards to drive consistency across analytics initiatives.
  • Collaboration & Stakeholder Management
  • Work closely with other analysts on the team to align methodologies, share best practices, and enhance analytical capabilities.
  • Act as a bridge between People Analytics, HR, and IT teams to define and communicate data requirements.
  • Partner with IT and data engineering teams to improve data infrastructure and expand available datasets.

Qualifications

Required: 4-7 years experience in a People Analytics focused role

  • Analytical & Technical Skills
  • Strong ability to analyze, interpret, and visualize HR and workforce data to drive insights.
  • Experience working with large datasets and ensuring data integrity.
  • Proficiency in Excel and at least one data visualization tool (e.g., Tableau, Power BI).
  • Communication & Stakeholder Management
  • Ability to communicate data insights effectively to both technical and non-technical audiences.
  • Strong documentation skills to define and communicate data requirements clearly.
  • Experience collaborating with cross-functional teams, including HR, IT, and business stakeholders.

Preferred:

  • Technical Proficiency
  • Experience with SQL, Python, or R for data manipulation and analysis.
  • Familiarity with HR systems (e.g., Workday) and cloud-based data platforms.
  • People Analytics Expertise
  • Prior experience in HR analytics, workforce planning, or related fields.
  • Understanding of key HR metrics and workforce trends (e.g., turnover, engagement, diversity analytics).

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