Early Career Trainee - Data Science and Business Analytics

DIC Branch; Dubai; On-site; AED 60,000 - 120,000; Full time

Job summary

An established industry player is seeking an Early Career Trainee in Data Science and Business Analytics. This exciting role offers recent graduates the chance to gain hands-on experience in data-driven methodologies to optimize operations and enhance decision-making processes. You will work closely with senior team members across various departments, contributing to projects that drive business outcomes. Ideal for those eager to learn and apply their analytical skills in a global sales environment, this position promises an engaging and dynamic learning experience while fostering collaboration and innovation in data science.

Qualifications

• Bachelor's degree in Data Science or related field required.
• Knowledge of programming languages and data analysis tools essential.

Responsibilities

• Assist in data collection, cleaning, and preparation for analysis.
• Support data analysis and generate reports with actionable insights.
• Collaborate with teams to deliver data-driven solutions.

Skills

Python

VB

R

Machine Learning

Statistical Analysis

Data Visualization

SQL

MySQL

PostgreSQL

MS Excel

Education

Bachelor's degree in Data Science

Bachelor's degree in Business Analytics

Tools

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, gaining hands-on experience in the application of various methodologies used in analytical and data-driven techniques to optimize operations and enhance decision-making 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 and cross-functional 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 data-driven recommendations to enhance operational efficiency
• Contribute to decision-making processes through analytical insights into business operations

Collaboration & Learning:

• Work closely with cross-functional teams (e.g., Sales, Finance, Services, Engineering) to understand business needs and deliver data-driven 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 non-technical stakeholders
• Assist in preparing and presenting regular updates on project progress.

Qualifications required:

Education: Bachelor's degree in Data Science, Business Analytics, or a related field

Technical Skills:

• Knowledge, internship, or academic projects related to programming 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 data visualization tools (e.g., Tableau, Power BI)

Desired qualifications:

• Strong analytical and problem-solving 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