Jobs
Company:
Qualcomm Intl Inc., Mexico Branch Office
Job Area:
Miscellaneous Group, Miscellaneous Group > Data Analyst
Qualcomm Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
General Summary:
About the Team
Qualcomm's People Analytics team plays a crucial role in transforming data into strategic workforce insights that drive HR and business decisions. As part of this lean but high-impact team, you will have the opportunity to analyze workforce trends, ensure data accuracy, and collaborate with key stakeholders to enhance our data ecosystem. This role is ideal for a generalist who thrives in a fast-paced, evolving environment—someone who can independently conduct data analyses, communicate insights effectively, and work cross-functionally to enhance our People Analytics infrastructure.
This role requires full-time work onsite in Mexico City (5 days per week).
Why Join Us?
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End-to-End Impact: Work on the full analytics cycle—from data extraction to insight generation—driving meaningful HR and business decisions.
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Collaboration at Scale: Partner with HR leaders, IT, and other analysts to ensure seamless data integration and analytics excellence.
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Data-Driven Culture: Be a key player in refining our data lake, ensuring data integrity, and influencing data governance efforts.
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Professional Growth: Gain exposure to multiple areas of people analytics, including analytics, storytelling, and stakeholder engagement.
Key Responsibilities
- People Analytics & Insights
Analyze HR and workforce data to identify trends, generate insights, and provide recommendations to business and HR leaders.
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Develop thoughtful insights to support ongoing HR and business decision-making.
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Present findings in a clear and compelling way to stakeholders at various levels, including senior leadership.
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Data Quality & Governance
Ensure accuracy, consistency, and completeness of data when pulling from the data lake and other sources.
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Identify and troubleshoot data inconsistencies, collaborating with IT and other teams to resolve issues.
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Document and maintain data definitions, sources, and reporting standards to drive consistency across analytics initiatives.
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Collaboration & Stakeholder Management
Work closely with other analysts on the team to align methodologies, share best practices, and enhance analytical capabilities.
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Act as a bridge between People Analytics, HR, and IT teams to define and communicate data requirements.
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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.
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Experience working with large datasets and ensuring data integrity.
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Proficiency in Excel and at least one data visualization tool (e.g., Tableau, Power BI).
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Communication & Stakeholder Management
Ability to communicate data insights effectively to both technical and non-technical audiences.
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Strong documentation skills to define and communicate data requirements clearly.
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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.
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Familiarity with HR systems (e.g., Workday) and cloud-based data platforms.
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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).
Additional Information
- This is an office-based position (5 days a week onsite) with possible locations that may include India and Mexico
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
4.0
Compensation
4.0
Culture
2.5
Career
3.0
Management
2.5
Pros
Good work-life balance
Real engineering work with technical challenges
Good compensation
Cons
Slow processes and bureaucracy
Poor management and planning
Cross-team dependencies and alignment issues
Salary Ranges
1 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$215,000
total / year
Base
$170,000
Stock
$30,000
Bonus
$15,000
$182,750
$247,250
Interview Experience
8 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Onsite
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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