Early Career Trainee - Data Science and BusinessAnalytics

GE Vernova; Dubai; On-site; USD 30,000 - 45,000; Full time

Job summary

GE Vernova is seeking an Early Career Trainee in Data Science and Business Analytics to join their Global Sales Operations team in Dubai. This position is perfect for recent graduates eager to apply data-driven techniques to improve business operations. As a trainee, you'll assist with data collection, analysis, and reporting, collaborating with senior members and cross-functional teams while developing your skills in a dynamic environment.

Qualifications

• Knowledge of programming languages like Python, VB, or R.
• Basic understanding of machine learning techniques.
• Experience with data visualization tools (e.g. Tableau, Power BI).

Responsibilities

• Assist in gathering and preparing data from multiple sources.
• Support the team in performing exploratory data analysis.
• Help generate business performance reports and dashboards.

Skills

Python

Data Analysis

Statistical Analysis

Machine Learning

Problem-solving

Communication

Education

Bachelors degree in Data Science or Business Analytics

Tools

MS Excel

SQL

MySQL

PostgreSQL

Tableau

Power BI

Job description

Job
Description
SummaryAs an
Early Career Trainee in Data Science and Business Analytics you
will play an integral role within our Global Sales Operations team
gain handson experience in application of various methodologies
used in the analytical and datadriven techniques to optimize
operations and enhance decisionmaking processes. This opportunity
is ideal for recent graduates or individuals with minimal
professional experience who are passionate about using data science
and analytics to drive business outcomes in a global sales
environment. You will collaborate with senior team members
crossfunctional teams and contribute to ongoing
projects.

Job
Description

Data
Collection &
Preparation:

• Assist in
  gathering and preparing data from multiple sources for
  analysis
• Clean transform and preprocess raw
  data to ensure accuracy and consistency
• Explore
  datasets to identify trends patterns and potential
  anomalies

Data Analysis
& Insights:

• Support
  the team in performing exploratory data analysis (EDA) and
  hypothesis testing
• Utilize statistical and
  machine learning techniques to uncover insights from
  data
• Generate reports summarizing findings with
  clear visualizations and actionable insights and
  recommendations

• Assist in
  building and validating predictive models using statistical and
  machine learning methods
• Learn and apply
  relevant algorithms (e.g. regression classification clustering) to
  solve business
  problems

Business
Analytics:

• Help generate
  business performance reports dashboards and metrics to track
  KPIs
• Support business teams with datadriven
  recommendations to enhance operational
  efficiency
• Contribute to decisionmaking
  processes through analytical insights into business
  operations

Collaboration
& Learning:

• Work
  closely with crossfunctional teams (e.g. Sales Finance Services
  Engineering) to understand business needs and deliver datadriven
  solutions
• Participate in training sessions and
  mentorship to improve technical skills in data science and
  analytics tools
• Stay up to date with industry
  trends new technologies and best practices in data
  science

Documentation
&
Reporting:

• Document
  workflows business requirements methodologies and project
  outcomes
• Create presentations and reports to
  communicate findings effectively to nontechnical
  stakeholders
• Assist in preparing and presenting
  regular updates on project
  progress.

Qualifications
required:

Education:
Bachelors degree in Data Science and Business Analytics or a
related
field

Technical
Skills:

• Knowledge
  Internship or academic projects related toprogramming languages
  like Python VB or
  R
• Basic
  understanding of machine learning techniques (e.g. regression
  clustering
  classification)
• Basic
  understanding of statistical analysis techniques and RDBMS
  concepts
• Knowledge
  with data analysis tools (e.g. MS Excel SQL MySQL
  PostgreSQL)
• Experience
  Internship or academic projects related to with data visualization
  tools (e.g. Tableau Power
  BI)

Desired
qualifications:

• Strong
  analytical and problemsolving
  abilities.
• Excellent
  communication skills with the ability to explain complex concepts
  in simple
  terms.
• Ability
  to work independently and as part of a
  team.
• Eagerness
  to learn and adapt to new tools technologies and
  methodologies.

Additional
Information

Relocation
Assistance Provided:
No

Required
Experience:

Intern

Key Skills
Cyber Security,Business
Administration,LTE,Content Management,Archicad

Employment Type : Full-Time

Experience: years
Vacancy:
1