Business Intelligence & Analytics Intern

Job Posted Yesterday Posted Yesterday
Hiring Remotely in United States
Remote
20-20
Internship
Software
The Role
As a Business Intelligence & Analytics intern, you will assist in analyzing data, developing machine learning models, and integrating insights into business processes.
Summary Generated by Built In

What is Contentstack?

Contentstack is on a mission to deliver the world’s best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge.

Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code.

 Learn more at www.contentstack.com.

Who Are We?

At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let’s go!

What are we looking for?

We are seeking a highly motivated Business Intelligence & Analytics intern. This internship is an exciting opportunity to gain hands-on experience in data analysis, machine learning, and AI-driven insights while working on real-world business challenges. You will collaborate with data scientists, analysts, and business leaders to develop models, optimize analytics processes, and contribute to impactful decision-making.

What You’ll Do

  • Assist in data exploration, analysis, and visualization to uncover insights and trends.
  • Work with machine learning models, including training, testing, and tuning algorithms.
  • Support the development and automation of predictive analytics and AI-driven solutions.
  • Collaborate with cross-functional teams to integrate insights into business workflows.
  • Conduct research on emerging AI/ML techniques and tools to enhance analytical capabilities.
  • Document methodologies, findings, and recommendations for stakeholders.

What We’re Looking For

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Experience with Python, R, SQL, or other data science programming languages.
  • Familiarity with machine learning frameworks
  • Strong analytical and problem-solving skills with an ability to interpret complex data.
  • Knowledge of data visualization tools like Tableau, & Looker
  • Interest in AI, automation, and data-driven decision-making.
  • Ability to work independently and in a team environment.

Why Join Us?

  • Gain practical experience with cutting-edge analytics and ML technologies.
  • Work on meaningful projects that impact real business decisions.
  • Collaborate with industry experts in data science and analytics.
  • Build a strong portfolio of hands-on ML and data projects.
  • Network and grow in a fast-paced, innovative environment.

Salary for this role is $20 per hour, up to 28 hours per week. 

What Do We Offer?

Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the “challenge yourself” role where you learn something new every day, never stop growing, and have fun while you’re doing it. 

Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict “no a**hole policy” and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected.

Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more!

One Team One Dream | This is one of our values, and it shows. We don’t believe in artificial hierarchies. If you’re part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it’s a great time to be joining…


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Top Skills

Looker
Machine Learning Frameworks
Python
R
SQL
Tableau
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The Company
HQ: San Francisco, CA
523 Employees
On-site Workplace
Year Founded: 2018

What We Do

Contentstack is a composable DXP which is a digital experience platform assembled from a series of best-of-breed solutions. These solutions work together via APIs to deliver content and digital experiences to customers in a more agile and flexible way than a single, integrated, and essentially monolithic platform. It brings a microservices approach to the DXP space.

Our composable DXP stands out in the market, so your digital experiences can.

The Contentstack platform builds on our pioneering headless CMS roots, making complete what headless CMS alone do not. This includes a built-in Marketplace, full-stack automation, and integrated front-end hosting for full end-to-end digital experience functionality. Unlike legacy DXP solutions, we do this with a 100% open MACH architecture for maximum choice and functionality up and down the composable stack.

There is no stack like Contentstack.

Learn more at www.contentstack.com.

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