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 hands-on experience in application of various methodologies used in the 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, 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 and 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 with 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