Job Description
Company Overview:
Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500s, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company.
Position Overview:
Blue Orange is looking for an experienced Data Analyst to join our talented multidisciplinary team. The ideal candidate will have a passion for all things data analytics and modern data practices and patterns. The ideal candidate will be well versed in SQL and modern data analysis technologies, understand how to drive the extraction of business requirements for data transformations, assess data quality, and have great communications skills. This candidate will work with our clients directly to help design, build, scale, and maintain production data validation systems and platforms.
Responsibilities:
Basic Qualifications:
Salary: $114,000 - $132,000 per year ($9,500 - $11,000 per month) - USD
Blue Orange Digital is an equal-opportunity employer.
Background checks may be required for certain positions/projects.
Blue Orange Digital has a particular knack for unpacking complex and messy data architectures and upgrading them to more modern cloud-based solutions. As a consulting firm across multiple industries, we have developed a versatile project portfolio that demonstrates our drive for simple yet cutting-edge solutions. Our cross-disciplinary team of 50+ experts in Data Science and Machine Learning has the knowledge and expertise to be instrumental to any project, goal, or existing team. We apply a big-picture approach from the bottom up, that targets business growth as the ultimate measure of our success and clarifies priorities for all involved, making Blue Orange a reliable co-development partner. From Fortune 100s to promising startups, we look forward to new and exciting challenges. We do our best to build strategic and iterative business-specific solutions to improve how companies utilize their biggest asset, their data.
