Lenovo : Business Analyst

Brief Description of position:

This position is responsible to deliver key analytics projects under the guidance of the Analytics Manager, that will create enormous impact to the business, with the help of cutting-edge analytics tools and techniques. This will involve working with a cross functional team of individuals to understand the business problems, scope the possible solution and create an execution plan for the recommendation.

Essential Responsibilities:

  • Support the business team with data driven insights combining market and internal sales trends
  • Define and measure KPIs and recommend improvements to grow the business
  • Research and apply multidisciplinary statistical techniques, findings and approaches to solutions driving the business’ understanding of its market, its internal operations, and its opportunities
  • Perform Exploratory Data Analyses (EDA) and devise data models to provide predictive and prescriptive insights to the business
  • Narrate compelling stories and present the insights / findings developed
  • Liaise internally within the team to complete analytics, reporting, and implementation of data / analytics-driven changes
  • Drive adoption of analytical tools and a data driven culture within eCommerce business unit

Position Requirements:

  • Bachelors/Masters in any quantitative disciplines such as Engineering, Statistics, Applied Mathematics, Business Management, Economics, Computer Science or Finance from a top tier University required
  • 4 to 6 years of analytics or reporting or business analysis related working experience
  • Possesses good business acumen, with a clear understanding of Consumer and B2B business in general and eCommerce, Digital Analytics and PC industry in particular
  • Create measurement, reporting and analysis to track the necessary KPIs. Use analytical methods to interpret and provide insights on online performance
  • Should be comfortable in undertaking and delivering projects covering BI/reporting (25%), Exploratory Data Analysis (35%), Statistical Analyses (20%), and Modelling (20%)
  • Hands-on experience in MS Excel, MS PowerPoint, SQL, R/Python and enterprise visualization tools like Tableau, PowerBI and QlikSense preferred
  • Excellent verbal and written communication & presentation skills - Must be highly versed in analytic methodologies
  • Experience in Digital Analytics and customer journey platforms like Adobe Analytics / Google Analytics, Quantm Metric, Clicktale, or similar technologies
Minimum Qualification:

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.


We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.