Analytics Engineer

Analytics Engineer

This job is no longer open

At Cameo, we make impossible connections possible. Our mission is to create the most personalized and authentic fan experiences on earth. Our global platform allows fans to get personalized video messages and live calls, merchandise from their favorite stars and creators, and through our Cameo for Business platform, all companies can now leverage the power of celebrity at scale. The key to our success? Our outstanding Cameo Fameo. The people behind the scenes, spreading joy to our talent and their fans - as well as their fellow colleagues - each and every day. 

From product marketers to talent relations managers, software engineers and recruiters, the Cameo team is made up of the brightest minds in the biz. As we grow, our core values and startup mentality remain; we value creativity, hard work, collaboration, direct dialogue and feedback, and the continued development of our people. For more information, please visit

Our team is guided by five core values, and we like to share them early on to set the stage! 

  • Challenge Assumptions
  • Roll Out the Red Carpet
  • Fight for Simplicity
  • Act Like and Owner
  • Make It Memorable 

A few more things to consider:

👋 Our employees are called the Cameo Fameo, and our team means everything to us. Join smart, curious, humble individuals from all over the world and experience what it’s like to love where you work.

🏆 Humble brag - we’re honored to be named one of LinkedIn’s Top 50 Startups to Work For, voted one of America’s Best Startup Employers by Forbes, the #1 Most Innovative Social Media Company by Fast Company, and recently raised a $100M Series C.

🌎 As the world continues to shift and shape, so do we. Our Where We Work program offers a combination of hub office locations, work from home, and fully remote roles to ensure we’re building a diverse and inclusive team.

🎁 The goods - competitive salaries, equity, health insurance, 401(k), wellness perks, and unlimited PTO just to name a few. Oh, and did we mention Cameo works with noteworthy actors, athletes, musicians, your favorite creators, global superstars, famous furry friends and more!?

Job Description:

Cameo is seeking a skilled and experienced Analytics Engineer to join our dynamic analytics team. The ideal candidate will possess a strong technical background, a deep understanding of data analysis, and expertise in marketing analytics (optional). As an Analytics Engineer at Cameo, you will collaborate with cross-functional teams to develop data solutions, drive insights, and contribute to the company's growth through data-driven decision-making.


  • Develop, implement, and maintain scalable data pipelines and ELT processes to collect and transform data from various sources.
  • Collaborate with data scientists, analysts, and stakeholders to understand business requirements and translate them into technical specifications.
  • Design and optimize data models, databases, and data warehouses to ensure efficient and reliable data storage and retrieval.
  • Develop and maintain data visualizations, dashboards, and reports to track key performance indicators (KPIs) and provide actionable insights to stakeholders.
  • Identify opportunities for data-driven optimization across different business functions, including user acquisition, retention, monetization, and marketing.
  • Work closely with the marketing team (optional) to develop and analyze marketing campaigns, perform attribution analysis, and provide insights to optimize marketing spend.
  • Stay updated with the latest industry trends, tools, and techniques related to data engineering and analytics.


  • Bachelor's or advanced degree in Computer Science, Data Science, Information Systems, or a related field.
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
  • Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
  • Self-motivated with a strong sense of ownership and a passion for data-driven decision-making.
  • Strong SQL skills and experience with cloud-based databases (Snowflake, BigQuery, Redshift, etc)
  • Familiarity with dbt is a plus
  • Proficiency building dashboards and visualizations (Looker, Tableau, PowerBI, etc)
  • Experience with data modeling, data warehousing, and general ETL/ELT workflows.
  • Experience with marketing analytics, including campaign analysis, cohort analysis, A/B testing, and marketing attribution.


  • Opportunity to work with a talented and diverse team of professionals in a fast-paced, high-growth startup environment.
  • Collaborative culture that encourages innovation and personal development.
  • Competitive compensation package with benefits.
  • Flexible work arrangements, including remote work options.
  • Opportunity for career growth and learning in the analytics and entertainment industries.

To apply:

If you are interested in this position, please submit your resume, a cover letter highlighting your relevant experience, and any portfolio or project work that demonstrates your skills and expertise. We look forward to reviewing your application!

All salary ranges are dependent on individual experience and expectations. Cameo is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment for every person who walks through our doors. All employment is decided on the basis of qualifications, merit, and business need. Cameo celebrates and embraces diversity.

The salary range for this position is $105,000-$159,000. Cameo determines salary ranges by role and level with ranges for US roles typically based on our home market of Chicago. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within that range, individual pay is determined by job-related skills, experience, and relevant education and training. Posted salary ranges reflect base salary only, exclusive of equity and other compensation and benefits.

Please see for information about how we process personal information from candidates and applicants.

This job is no longer open
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