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Job Description


Company:Qualcomm India Private LimitedJob Area:Engineering Services Group, Engineering Services Group > Engineering Operations

General Summary:


We are seeking an experienced Data Analytics Analyst with strong expertise in people analytics to join our data Analytics team. In this role, you will be responsible for delivering actionable insights, engaging with senior leaders, and applying your technical expertise to enhance our data analytics processes, delivery, and support broader people analytics initiatives. You will play a crucial role in driving strategic decisions and contributing to the overall success of our organization. This role may have people management responsibilities.


Key Responsibilities


  • Track and maintain headcount details across multiple leadership teams and business units.
  • Deliver regular and ad hoc updates on workforce data to various stakeholders, including technical teams and management.
  • Develop and manage reports tailored to meet the needs of diverse audiences across technical and operational domains.
  • Lead efforts during organizational transitions, including designing and implementing department structures, coordinating system updates with relevant teams, identifying and resolving discrepancies, and creating/updating reports to reflect structural changes.
  • Develop centralized dashboards to enhance visibility into space utilization and workforce details.
  • Upskill in reporting and visualization tools to improve data analysis and presentation capabilities.
  • Track and analyze workforce changes, providing actionable insights for leadership planning and decision-making.
  • Reconcile workforce data post-transitions, ensuring alignment with targets and organizational records.
  • Act as a primary contact for headcount-related queries, ensuring timely and accurate resolutions.
  • Continuously refine reporting processes to align with organizational updates and changes
  • Create end-user facing BI and analytics products (specifically Tableau dashboards)
  • Understand and implement best practices / standards for all reporting and analytics delivery
  • Provide thought leadership, best practices, and standards required to deliver effective and sustainable solutions
  • Act as an expert to advise consulting teams on the application and design of data visualization and dashboarding solutions
  • Design and/or implement tools for data visualization and reporting solutions to support data analysis, including calculation of metrics, and detection of trends
  • Develop and deploy visualizations & dashboards, etc., following modern data visualization methods and using Tableau.
  • Explore, model, mine, and experiment with data to answer critical business issues
  • Work in a collaborative manner with clients and team members to understand business needs and translate these in metrics and data needs, while collaborating iteratively on data visualization
  • Keep abreast of new and current data visualization trends and technologies
  • Provide guidance and support on BI and reporting strategies for different audiences and use cases
  • Proactively identify risks and drive action to mitigate and resolve issues, including data quality issues, unsustainable processes, and impact of business process changes to the analytics environment
  • Analysis, design, development and deployment of dashboards and reports
  • Translate business needs into compelling visualizations of KPI trends through iterative design sessions and wireframing
  • Collaborate closely with and influence business leaders to assess opportunities and technical solutions for the enterprise
  • Develop reusable templates for solving common data visualization needs

Qualifications


  • Education & Experience
    • Bachelor’s degree in Statistics, Engineering, Data Science, Economics, Business Analytics, a related field (Master’s degree preferred).
    • 2+ years of experience in performance analytics, Data/people analytics, Program/Project management, operations, or a similar role.
  • Technical Skills
    • Proficiency in data analysis tools such as SQL, R, Python, or similar.
    • Experience with data visualization tools like Tableau, Power BI, or with advanced Excel skills.
    • Strong understanding of statistical analysis and modeling techniques.
  • Soft Skills
    • Excellent communication and presentation skills.
    • Strong problem-solving abilities and attention to detail.
    • Ability to work independently and as part of a team in a fast-paced environment.
    • Proven ability to interact effectively with senior leaders and influence decision-making. 

Minimum Qualifications:


• Associate's degree.
OR
High School Diploma or equivalent and 2+ years of relevant work experience.

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 disability-accomodations@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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).


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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