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:
Graduate
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