General Information

Req #
WD00041619
Career area:
Data Management and Analytics
Country/Region:
India
State:
Karnataka
City:
BANGALORE
Date:
Tuesday, October 25, 2022
Working time:
Full-time
Additional Locations

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This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

The Data Analyst / Scientist position will support the WW Finance team to perform advanced analytics for ISG. The fast-paced role will be a good fit for someone comfortable handling big data using SQL & Python, who can derive business insights from complex data sets, and who can communicate complex data models to key stakeholders.

Job Responsibilities:

  • Doing exploratory data analysis on data to understand, clean, and prepare data for statistical modeling
  • Interface with cross-functional teams to gather relevant information/data for analysis
  • Building forecast models and other multivariate models using classical and machine learning techniques to add value to the business
  • Presenting solutions of complex models to key stakeholders and leadership team for adoption
  • Building dashboards using visualization tools to deliver insights/results to the leadership team
  • Manage the delivery of timely, accurate reporting and dashboards

Basic Job Requirements:

  • Bachelors in a relevant field, with at least 3 years of experience in an analytical role |OR| Master's degree in a relevant field, with internship/full-time experience in an analytical role
  • Experienced user of SQL, Python, and visualization tool
  • Good communications skills, both verbal and written
  • Team player with the ability to work proactively & autonomously

Preferred Job Requirements:

  • Experienced user of SQL – must be comfortable doing complex SQL queries (multiple table joins, CTEs, etc.)
  • Experienced user of Python with a focus on machine learning (including data preparation, data cleaning, model selection, model evaluation, and scaling)
  • Strong background in time series forecasting and multivariate regression in Python
  • Experienced user of Power BI

Additional Locations

NOTICE FOR PUBLIC

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