Early Career Trainee - Data Science And Business Analytics

Job description / Role

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, 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:

Bachelors degree in data science and business analytics or a related field.

Technical skills:

• Knowledge from 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 of data analysis tools (e.g., MS Excel, SQL, MySQL, PostgreSQL).

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• Experience from 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

Key skills

Cyber security, business administration, LTE, content management, Archicad

Employment type: Full-time

Vacancy: 1

Job Function: HR, Recruitment & Training

Company Industry: Education