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Jr. Data Analyst

About Riviera

Riviera powers startups and brings transformational DNA to larger organizations! It’s no secret that recruiting is broken. The current process leaves all engaged parties – candidates, clients, and recruiters alike – exhausted; this is all too telling of the status quo’s fundamental flaws. Candidates struggle to find the best jobs for their skillsets; clients can’t fill their open roles with the best people; a recruiter’s ability dictates the pace of information flow, for better or worse. When you combine these factors, the resulting experience leaves much to be desired and begs the question as to why nobody has yet cracked this code in a tech-driven world. Until now.

For the last decade, we’ve had our hand in building the hottest startups and well-known tech companies around. We believe everyone deserves to have a job they love, so we’re building a next-generation recruiting platform that matches job hunters with companies meeting their exact career needs and objectives. It's designed to bring brilliant minds together in order to solve difficult challenges. We’re well on our way to delivering the most interesting career management software in existence and we need talented people like you on our team.

We are the best because we hire the best. We make training, mentorship, and progression a priority so that our talent can reach their full potential. If you are ready to say goodbye to the status quo and thrive in shades of gray, come be a part of something different!

About the Jr. Data Analyst Position:

The data analyst will contribute to the growth of Riviera business and product initiatives working with partner teams. It is a unique opportunity to accelerate your career in a fast-paced environment with a team full of passionate, committed people who are excited to bring efficiency to helping people find jobs.

This role reports into engineering and will work with the product, recruiting, and data science teams to provide data driven insight into product and business success.  


  • Product Analytics and Support: support identify and resolve product related issues. Monitor product performance, design and analyze metrics to improve company products. 
  • Business Analytics: use data to provide business insights, deliver data-driven recommendations and reports.
  • Data pipeline: Data warehouse design and maintenance, build data pipelines with workflow management tools.
  • Work in a broad capacity: work cooperatively with manager and peers to design reports and analyses. 
  • Passion for data quality and insights: offer analysis and reports, help teams across organization to make data driven decisions. Work with Product and Business Operation teams to develop and monitor metrics. Ensure data quality and interpretability through all products.

Required Experience & Qualifications:

  • Hands-on experience as a data analyst working with large data sets
  • Experience with Python, SQL and data visualization tool
  • Experience with AWS, Kubernetes and warehouse design would be a plus
  • Degree in a quantitative field: Mathematics, Economics, Engineering, Operations Research,
  • Computer Science, or a related field. Extremely strong quantitative and logical problem solving
  • skills
  • Initiative and ability to seek and take responsibility. High attention to detail, data accuracy and
  • quality of output
  • Strong oral and written communication skills; extremely attentive to detail. Hands on, results-driven who can work with extreme efficiency, excited to learn new things, forge new areas of understanding, and enable other teams to manifest them

We look forward to meeting you!

Learn more about the culture at Riviera, meet our team, and connect with us through our social channels below. We look forward to meeting you!

Website- http://rivierapartners.com/
Blog – http://rivierapartners.com/blog/
Twitter- https://twitter.com/RiviTeam

Riviera Partners is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without unlawful regard to race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, veteran status or any other local legally protected characteristic.

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