Early Career Trainee - Data Science and Business Analytics

GE Vernova; Dubai; On-site; AED 60,000 - 120,000; Full time

Job summary

A global technology company in Dubai is seeking an Early Career Trainee in Data Science and Business Analytics. The role provides hands-on experience in utilizing data science methodologies to optimize operations and enhance decision-making processes. Ideal for recent graduates, the position involves data gathering, analysis, business performance reporting, and collaboration with multiple teams. Strong communication and problem-solving skills are essential, along with a bachelor's degree in a related field. Training and mentorship opportunities will be available.

Qualifications

• Recent graduates or individuals with minimal professional experience preferred.
• Experience in internship or academic projects related to data science is a plus.

Responsibilities

• Assist in gathering and preparing data from multiple sources for analysis.
• Support the team in performing exploratory data analysis (EDA) and hypothesis testing.
• Help generate business performance reports and metrics to track KPIs.
• Work closely with cross-functional teams to deliver data-driven solutions.
• Document workflows and create presentations to communicate findings.

Skills

Knowledge of programming languages (Python, VB, R)

Basic understanding of machine learning techniques

Analytical and problem-solving abilities

Excellent communication skills

Ability to work independently and as part of a team

Eagerness to learn new tools and methodologies

Education

Bachelor's degree in Data Science and Business Analytics or related field

Tools

MS Excel

SQL

Tableau

Power BI

Job description

Job Description Summary

As 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.

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