GN_India_SC&O_S&P_Data Analyst_ML11

KEY RESPONSIBILITIES

Data Analyst work closely with the Head of Data Services and Products teams to lead attributes of spend cubes

build or to assist in developing visualization products for clients. They are expected to understand practical issues

with data and identify resolutions.

1. Data Handling

a. Data Collection – Participate on calls with stakeholders (internal and external, based out of US)

to gather data from various sources (email, Dropbox, Egnyte, Databases)

b. Data Audit – Lead assessment of data quality, identify gaps and create summaries as per database

requirements

c. Data Scrubbing – Assist with creating data cleansing rules and incorporate data clarifications

provided by data source owners

d. Data Profiling – Assist with creating multi-dimensional data views, data analysis, reports and

extracts

2. Data Classification

a. Spend Classification – Analyze procurement spend & use several techniques to comprehensively

classify into a custom taxonomy in Impendi's spend analytics tool

b. Enhancements – Diligently incorporate feedback and make recommendations for process

improvement

c. Report generation – Create specific and opportunity spend-assessment reports/templates

d. Manage periodic refreshes – Lead discussions with US-based stakeholders for data gathering,

data quality checks, control total validation and spend classification.

3. Industry Research

a. Secondary Research – Conduct market research to create company, industry primers, etc. using

online secondary data or information sources

4. Technical requirement

a. Python – Hands on experience in Python, Understanding of the threading limitations of Python,

and multi-process architecture

b. MySQL – Able to integrate multiple data sources using MySQL

c. Business Problem – Able to create a solution for Business Analytical problems using Python


Qualifications
WHO SHOULD APPLY?

Work Experience – 2-4 years of experience in Procurement Data Analysis, Spend Analytics and Data Management

Academic
Qualifications:Bachelor’s degree in Engineering or Computer Applications

Job Requirements:Highly motivated individuals of any background with:

- Experience in handling spend data and understanding of spend classification

- Exposure to data visualization tools

- Proficiency in MS Excel and MS Power Point

- Good eye for technical troubleshooting, monitoring, and reporting activities

- Attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to

problems/issues in data processing

- Good spoken and written English communication skills; should be able to participate in global team calls

- Experience in supply chain (preferred)