Data Analyst (Contract) - 100% REMOTE

Jobot Consulting; San Francisco (CA); Remote; USD 200,000 - 250,000; Full time

Job summary

A leading global media and information company seeks a Data Analyst for a remote contract role through December 2025. The ideal candidate will leverage their experience in data analysis and proficiency with various tools to deliver actionable insights and automated solutions for stakeholders.

Benefits

Competitive Compensation

Great Benefits

Excellent Client Culture

Qualifications

• 3+ years of experience in data analysis, preferably within a technology or data science team.
• Passionate about learning new technologies and staying updated with AI developments.
• Experience with data platforms like Tableau, Power BI, or Looker.

Responsibilities

• Collect and process structured and unstructured data from various sources.
• Analyze large datasets to identify trends, patterns, and insights.
• Create metrics, reports and visualizations to communicate data findings.

Skills

Data Analysis

Python

SQL

PySpark

Big Data Tools

Cloud Data Services

Tableau

Power BI

Agile Methodologies

Git

Education

Bachelor's degree in Data Science, Computer Science, Statistics, or related field

Masters Degree

Tools

AWS

Databricks

Dynamics 365

Job description

This range is provided by Jobot Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$45.00/hr - $48.00/hr

Want to learn more about this role and Jobot Consulting? Click our Jobot Consulting logo and follow our LinkedIn page!

Job details

Privately Held , Family Owned Global Media and Information Company

This Jobot Consulting Job is hosted by Katherine Krull

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary $45 - $48 per hour

A Bit About Us

Privately Held , Family Owned Global Media and Information Company

Job Title Data Analyst

Contract Length June - December 2025

Job Location 100% REMOTE

Pay Rate $47.94/hr.

Must have

• 3+ years of experience in data analysis, preferably within a technology or data science team
• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
• Python
• SQL
• PySpark
• Proficiency in big data tools (e.g. Hive) and cloud data services (AWS, Databricks)
• Experience with data platforms like Tableau, Power BI, or Looker
• Experience with agile development methodologies and tools such as Azure DevOps or Git.
• Passionate about learning new technologies and staying updated with the latest developments in the AI and large language models’ field.
  
  

Preferred Qualifications

• Masters Degree
• Pandas and/or polars experience
• Exposure to integration with external systems using APIs and custom connectors
• Familiarity with Dynamics 365 Customer Insights, Marketing, or Field Service is a plus
  
  

Why join us?


Competitive Compensation

Great Benefits

Excellent Client Culture

Job Details

Summary

• The ideal candidate will excel in handling large datasets, drawing actionable insights, and leveraging modern analytics tools to guide analytics initiatives.
• You will work closely with product managers, data scientists, and customers to understand their needs and deliver high-quality solutions that meet or exceed their expectations
  
  

Key Responsibilities

• Collect and process structured and unstructured data from various sources.
• Analyze large datasets to identify trends, patterns, and insights.
• Create metrics, reports and visualizations to communicate data findings effectively to stakeholders.
• Work closely with AI engineers and developers to understand their data needs and facilitate data discovery and model development.
• Design and build automated dashboards and alerts to streamline monitoring and reporting processes.
• Research and evaluate new technologies and trends in AI and reporting solutions.
• Provide complete and accurate documentation of logic used to create different metrics, and the associated business use case
  
  

Must have

• 3+ years of experience in data analysis, preferably within a technology or data science team
• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
• Python
• SQL
• PySpark
• Proficiency in big data tools (e.g. Hive) and cloud data services (AWS, Databricks)
• Experience with data platforms like Tableau, Power BI, or Looker
• Experience with agile development methodologies and tools such as Azure DevOps or Git.
• Passionate about learning new technologies and staying updated with the latest developments in the AI and large language models’ field.
  
  

Preferred Qualifications

• Masters Degree
• Pandas and/or polars experience
• Exposure to integration with external systems using APIs and custom connectors
• Familiarity with Dynamics 365 Customer Insights, Marketing, or Field Service is a plus
  
  

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Want to learn more about this role and Jobot Consulting?

Click our Jobot Consulting logo and follow our LinkedIn page!

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Software Development, Technology, Information and Internet, and Technology, Information and Media

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