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Data Analytics Intern

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Calix

14d ago

  • Internship
    Full-time
    Summer Internship
  • Data
  • Canada, +1
    Remote
  • Quick Apply

AI generated summary

  • You must pursue a relevant degree, have analytical skills, Excel proficiency, knowledge of statistics, and interest in HR data. Strong communication and remote work ability are essential.
  • You will collect and validate data, clean and analyze it using Excel, create presentations with actionable insights, identify trends, and communicate findings to stakeholders effectively.

Requirements

  • Currently pursuing a degree in Data Science, Statistics, Economics, or a related field.
  • Strong analytical and critical thinking skills.
  • Proficient in Excel.
  • Knowledge of basic statistical concepts and methods, such as descriptive statistics, inferential statistics, and hypothesis testing.
  • Experience with data visualization tools a plus.
  • Interest and curiosity in employee data and human resources.
  • Ability to work independently and collaboratively in a remote setting.
  • Excellent communication and presentation skills.
  • Ability to work for the complete summer break (May - August or June - September).

Responsibilities

  • Assist in data collection and validation from various sources, such as surveys, HRIS system, and discussions with key leaders, stakeholders, and SMEs.
  • Perform data cleaning, transformation, and analysis using Excel.
  • Create presentations and reports with actionable recommendations.
  • Identify trends, patterns, and outliers in candidate and employee data.
  • Communicate findings and suggestions to stakeholders in a clear and concise manner.

FAQs

Is this internship remote?

Yes, this is a full-time remote internship that can be based anywhere in the United States or Canada.

What will be the main responsibilities of the Data Analytics Intern?

The main responsibilities include assisting in data collection and validation, performing data cleaning and analysis using Excel, creating presentations and reports, identifying trends in data, and communicating findings to stakeholders.

What qualifications do I need to apply for this internship?

You should be currently pursuing a degree in Data Science, Statistics, Economics, or a related field, and possess strong analytical skills, proficiency in Excel, knowledge of basic statistical concepts, and excellent communication skills.

Are there any specific skills or tools that are preferred?

Experience with data visualization tools is a plus, and an interest in employee data and human resources is also encouraged.

What is the duration of the internship?

The internship will last for the complete summer break, specifically from May to August or June to September.

What is the compensation for this internship?

Compensation varies based on geographical location, with hourly rates based on your location in the U.S. The average base pay ranges from $17.10 to $28.75 USD per hour, depending on your location.

How can I report suspicious communications claiming to be from Calix?

If you receive a communication that you think may not be from Calix, you should report it to talentandculture@calix.com.

What is Calix's mission?

Calix's mission is to enable Communication Service Providers (CSPs) of all sizes to simplify, innovate, and grow in the broadband industry, helping underserved communities connect with digital experiences.

To enable broadband service providers of all sizes to simplify, excite and grow.

Technology
Industry
1001-5000
Employees
1999
Founded Year

Mission & Purpose

Innovative communications service providers rely on Calix platforms to help them master and monetize the complex infrastructure between their subscribers and the cloud. Calix is the leading global provider of the cloud and software platforms, systems, and services required to deliver the unified access network and smart premises of tomorrow. Our platforms and services help our customers build next generation networks by embracing a DevOps operating model, optimize the subscriber experience by leveraging big data analytics, and turn the complexity of the smart home and business into new revenue streams.