United States onlyWhat's In It For You?· Competitive base salary· 100% paid healthcare including medical, dental, and vision coverage for our Team Members and their families· 100% paid life insurance, long and short-term disability coverage for Team Members· 401k plan with a 2% match and immediately vested· Cell phone allowance · Open PTO plan (take what you need!) and 9 paid holidays· Gym membership reimbursement· Flexible work arrangements
Come work at Revenue Analytics! We are awesome and fun, and you’ll get the chance to do hard things and work with great, smart people, all while applying your results to improve our products and solutions. We need your skills to provide complex data sets in usable formats for multiple stakeholders. Are you the data wiz we’re looking for???
A Day in the Life
- Participate in the full life cycle of development, through definition, design, implementation, and testing
- Collaborate with data science and engineering teams to produce optimal analytical solutions
- Identify data sources, provide data flow diagrams, and document source-to-target mappings and processes
- Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database application, or files using efficient programming processes
- Helps build systems and processes to get the data into a format where it can be queried easily for insights
- Designs, plans, and delivers analysis ready data sets to production
Who You Are
- Bachelor’s degree and 6+ years of relevant technical experience or a Master’s degree in computer science, information technology, engineering or a related technical field and 4+ years of relevant technical experienc
- Strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms
- Must have strong programming skills with SQL and Python
- Good understanding of ETL tools and REST APIs for creating and managing data integration jobs
- Experience or knowledge working with Linux/Unix systems
- Experience with direct customer interaction in a SaaS based environment preferred
Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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