Lenovo is Hiring Analytics & Data Integration Analyst 2025

Lenovo is Hiring Analytics & Data Integration Analyst 2025:-

Lenovo is hiring candidates for the role of “Advanced Analytics and Data Integration Analyst” in the Bangalore location of India. The complete details about Advanced Analytics and Data Integration Analyst Job Openings In Lenovo are given below.

Company :-	Lenovo
Job Role :-	Advanced Analytics and Data Integration Analyst
Location :-	Bangalore
Career area :-	Data Management and Analytics
Salary :-	As Per Company Standards
Last Date to Apply :–	ASAP

Qualifications:-

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.

Preferred Skills:-

Technical Skills: Data analysis, statistical modeling, machine learning, data visualization, ETL processes, API integrations.
Tools & Platforms: Python, R, SQL, Power BI, Tableau, Hadoop/Spark, AWS/Azure/GCP.
Soft Skills: Strong analytical thinking, problem-solving, attention to detail, communication, and collaboration.
Domain Knowledge: Business analytics, product performance analysis, and customer insights.

Good To Have:-

Proven experience in data analytics, machine learning, or AI-based solution development.
Strong knowledge of data integration techniques and ETL processes.
Proficiency in programming languages such as Python, R, or SQL.
Experience with data visualization tools (e.g., Power BI, Tableau, Qlik).
Understanding of big data technologies (Hadoop, Spark, etc.) is a plus.
Familiarity with cloud platforms (AWS, Azure, or GCP) is desirable.

Key Responsibilities:-

Collect, process, and integrate large datasets from multiple sources to support business and product development goals.
Develop, train, and deploy machine learning models and algorithms to address complex business challenges.
Perform data exploration and visualization to identify patterns, trends, and opportunities.
Collaborate with sales, marketing, product managers/engineers, and business analysts to deliver data-driven solutions.
Create compelling visualizations and reports to communicate insights to stakeholders.
Stay updated with the latest advancements in data science, machine learning, AI, and analytics technologies.
Research and apply multidisciplinary techniques to enhance analytics capabilities.
Review, implement, and optimize algorithms to improve the company’s analytical efficiency.