Data Analytics Intern

Job Description

Turn raw data into actionable insights! Join our team as a Data Analytics Intern and develop valuable skills in transforming business data into strategic decisions.

About Us

We're a data-driven organization that believes in making informed business decisions based on comprehensive analytics. Our team uses cutting-edge tools and methodologies to extract meaningful insights from complex datasets, helping drive growth and innovation across all departments.

The Role

We're looking for a curious and detail-oriented Data Analytics Intern to join our analytics team. This unpaid internship provides hands-on experience with real business data and modern analytics tools. Perfect for students studying data science, business analytics, statistics, or related fields who want to apply classroom knowledge to real-world business scenarios.

Our Analytics Stack

Data Analysis: Excel, Python (Pandas, NumPy), R

Data Visualization: Tableau, Power BI, Google Data Studio

Databases: SQL, Airtable

Web Analytics: Google Analytics, Hotjar

Business Intelligence: Looker, Sisense

Project Management: Notion, Asana

Statistical Analysis: SPSS, Python (SciPy, StatsModels)

Responsibilities

Assist in gathering, analyzing, and interpreting user data

Create reports and dashboards for data-driven decision-making

Collaborate on implementing analytics solutions

Help clean and prepare data for analysis

Support A/B testing and data experiments

Identify trends and patterns in customer behavior

Assist with database queries and data extraction

Contribute to regular performance reporting

Help document data processes and methodologies

Requirements

Currently pursuing or recently completed studies in Data Science, Statistics, Business Analytics, Computer Science, or related field

Basic understanding of data analysis concepts

Proficiency with spreadsheet applications (Excel/Google Sheets)

Strong attention to detail and analytical thinking

Problem-solving mindset and intellectual curiosity

Ability to communicate complex information clearly

Basic understanding of statistics

Preferred Skills

Interest in data analytics and visualization

Basic skills with tools like Excel, Airtable, Tableau, or Google Analytics

Familiarity with SQL or other query languages

Experience with Python or R for data analysis

Knowledge of statistical analysis techniques

Understanding of data visualization principles

Familiarity with business metrics and KPIs

What You'll Learn

Real-world analytics skills and data-driven business strategies

Practical use of data analytics tools and methodologies

End-to-end analytics workflow from data collection to insights

Dashboard creation and data visualization best practices

Data cleaning and preparation techniques

How to translate business questions into data queries

Statistical analysis and hypothesis testing

Effective communication of data insights to stakeholders

Ethical considerations in data collection and analysis

How different departments use data for decision-making

Benefits

Hands-on experience with real business data and analytics challenges

Professional mentorship from experienced data analysts

Portfolio of analytics projects and visualizations

Exposure to multiple analytics tools and technologies

Understanding of how data drives business decisions

Flexible schedule to accommodate academic commitments

Potential for academic credit (check with your educational institution)

Possibility for future employment based on performance

Letter of recommendation upon successful completion

Duration & Hours

3-month internship with possibility of extension

15-20 hours per week

Remote-friendly with flexible scheduling

Company Description

Our solutions enable people to confidently navigate the evolving digital landscape, enhancing their ability to succeed and grow in today's technology-driven world.

With a commitment to creating impactful tools and resources, BeProEx supports progress by making advanced technology approachable, intuitive, and beneficial to all. Join us as we build a future where technology and human capabilities come together to drive meaningful progress.

Fully remote