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 500’s, 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:
As an SDR/Sales & Research Assistant, you will play a key role in identifying and engaging potential leads. Your responsibilities will include prospecting, researching industry trends, crafting personalized outreach messages, and initiating contact via emails and LinkedIn. The ideal candidate is a proactive self-starter with strong communication skills and the ability to identify collaboration opportunities.
Note: This role is specifically for candidates based in the USA or Latin America due to our company's timezone, work schedule, and team collaboration. Resumes must be in English - applications with non-English resumes will not be considered.
Responsibilities:
Requirements:
Preferred qualifications:
Hourly Rate: $30.00 USD
Blue Orange Digital is an equal opportunity employer.
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.