Manager - Data Analytics(Data Insights Lead)
Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Engineering · Business Intelligence
In short
Qualcomm seeks a Manager - Data Analytics (Data Insights Lead) in Bangalore to spearhead analytics within Engineering Operations. This role demands end-to-end data ecosystem ownership, focusing on generating proactive, predictive insights to drive business decisions and improve operational efficiency. The position also involves leading and mentoring a team of analysts to enhance data maturity across the organization.
Responsibilities
- Lead the data ecosystem end-to-end, assessing and organizing datasets to generate proactive, predictive insights.
- Define and implement an optimal data management strategy, including architecture, governance, pipelines, retention, and documentation.
- Perform deep-dive analysis on high-volume, complex datasets related to data center utilization, engineering job efficiency, and operational metrics.
- Build predictive models and forecasting frameworks to anticipate issues and guide proactive planning.
- Establish and enforce standards where every dashboard, report, or metric must include business insights and recommendations.
- Analyze engineering job performance on compute clusters and data center systems, evaluating efficiency, utilization, and bottlenecks.
- Manage and mentor a small team of analysts and data professionals, setting direction and ensuring quality.
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or related field.
- 10+ years of experience in Data Science / Data Analysis, preferably in data center operations, engineering operations, or technology environments.
- Knowledge of machine learning, forecasting, anomaly detection, and predictive analytics.
- Strong proficiency in Python/R, SQL, and advanced analytical/statistical methods.
- Deep experience with visualization tools such as Power BI or Tableau.
- Strong ability to analyze highly complex datasets and convert them into strategic insights.
- Excellent communication and storytelling skills—able to present to both technical and non-technical audiences.
- Proven experience working across multiple stakeholders and managing complex analytical projects.
- High attention to detail, accuracy, and data integrity.
Desired Qualifications
- Experience with cloud platforms, server architecture, cluster scheduling systems (e.g., LSF).
- Familiarity with engineering development workflows and compute-heavy environments.
- Prior experience leading a team.
Benefits
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
#Data Analytics#Data Insights#Data Science#Engineering Operations#Predictive Analytics#Team Leadership