Data Analysis Consultant (Graduating Dec 2022 - Summer 2023)

  • Full-time

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, Chicago, Columbus, Denver, Philadelphia, Tysons Corner/DC, and Richmond). You will be able to designate your location preferences upon application. 

As a recent graduate coming into a Data Analysis Consultant role at CapTech, you will enjoy working within a collaborative, team environment to design and deliver innovative solutions to our clients. CapTech Data Analysis Consultants are technology enthusiasts who have a passion for solving complex business problems and implementing cutting-edge data solutions for our clients.

You'll receive hands-on, client-facing experience along with on-the-job training including an interactive, client-simulated boot camp. Your 3-week boot camp session will kick off your CapTech career as an Associate Consultant in our one-year Discovery Program, a robust continuation of onboarding to support your transition from college to CapTech. In addition to plenty of social events and networking opportunities, we'll help facilitate your skill development with various workshops and cross-training in different areas of our business.

CapTech also remains committed to offering our Data Analysis Consultants growth opportunities through our coaching culture and mentoring by our Subject Matter Experts. Find what you love at CapTech by experiencing different industries and clients through a variety of consulting projects. We encourage those interested in a Data Engineering Consulting path to apply to this role, as well.

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

Qualifications

Data Analysis candidates should hold a bachelor’s degree in Information Systems, Computer Science, or similar discipline, with some background or class work in business concepts and processes. In addition, they should demonstrate excellent oral and written communication skills, as well as possess strong analytical and problem solving skills with the desire to learn. Prior work/internship experience in a related technical field is strongly desired.

Additional Information

We provide challenging and impactful opportunities in our client work and internal teams, while keeping individual interests in mind. We want everyone at CapTech to be able to envision a lifelong career here, which is why we offer a variety of career paths based on your skills and passions. As a CapTecher, you will experience exciting and rewarding roles that help you grow and make a difference, while having fun along the way.  

At CapTech we offer a competitive and comprehensive benefits package including, but not limited to:  

  • CapFlex – Employee-first mentality that supports a remote and hybrid workforce and empowers daily flexibility while servicing our clients
  • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
  • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
  • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 
  • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.  

 

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