Data Analytics Consultant
Company Description
CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what’s possible in a changing world.
As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients’ myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action. Together, we create outcomes that exceed the expected — which is one of the reasons we’ve been on the Inc. 500/5000 list for over a decade.
Job Description
Please note: we are hiring for this position in multiple locations (Atlanta, Charlotte, DC, Denver, Philadelphia, and Richmond). You will be able to designate your location preferences upon application.
As a CapTech Data Analytics Consultant, you will enjoy working within a collaborative, team environment to help define and deliver innovative, data-driven solutions to our clients. CapTech Data Analytics Consultants are technology enthusiasts who have a passion for solving complex business problems and implementing cutting-edge data solutions for our clients. Not only will you receive hands-on, on-the-job training to prepare you for your client work, but CapTech remains committed to grooming our top data analytics consultants into tomorrow’s leaders through a variety of training initiatives – including an intense, client-simulated college hire boot camp.
Specific job responsibilities will vary by project role, but may include:
- Work with clients to understand their business, data, and systems
- Build advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users
- Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
- Design, develop, and implement data processing pipelines at scale
- Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers