Data Analyst - Early Career (Hybrid in Indianapolis, IN or Dallas, TX)

Indianapolis, IN, United States

Resultant

Resultant is a modern consulting firm, focused on technology, data analytics, and digital transformation, with a passion for problem-solving.

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Company Description

Resultant is a modern consulting firm with a radically different approach to solving problems.

We don’t solve problems for our clients. We solve problems with them.

Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they’re striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.

Originally founded in Indianapolis as KSM Consulting in 2008, Resultant now employs more than 450 team members who operate remotely and from offices around the United States including Indianapolis, Fort Wayne and Odon, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas; and Atlanta, Georgia.

We’re Resultant. Clients partner with us to see a difference. People join us to make one.

Job Description

Introducing Resultant’s Early Career Program

Are you ready to leap into your career at Resultant? Our Early Career Program may be the perfect fit! Resultant’s Early Career Program is an accelerated onboarding program for new graduates, focused on three pillars: career initiation, integration into the Resultant community, and focused project work.  This is a full-time role that will start in June 2025.

The Early Career Program includes:

  • An in-person onboarding experience
  • Ongoing mentorship opportunities
  • Opportunities to meet and learn from leaders around Resultant
  • A cohort of incredible early career professionals (just like yourself!) to grow and learn alongside you

Launching your career at Resultant means more than just a job title—it means becoming a catalyst for change. As an Early Career Data Analyst, you will:

  • Contribute to various consulting projects for clients in the public and private sectors
  • Work closely with project teams comprised of individuals such as data scientists, engineers, and business analysts to support data-driven decision making and continuous forward movement on project objectives
  • Engage with clients and various stakeholders; presenting findings, providing recommendations, and asking the right mix of technical and non-technical questions to collaboratively solve problems
  • Identify, gather, and preprocess data from various sources using clear, reproducible, and accurate methods
  • Use statistical and analytical methods to extract insights, trends, and patterns that address client and project needs
  • Create clear and compelling data visualizations and reports to present various findings to clients and non-technical stakeholders

Qualifications

Some of the qualifications and skills we are expecting include the following:

  • Bachelor's degree in a relevant field of study (Statistics, Computer Science, Mathematics), preferably graduating in the Spring of 2025
    • Please note, this position has a start date in June 2025
  • Passion for unconventional and creative problem solving
  • Possesses a desire to learn and deep intellectual curiosity
  • Ability and willingness to quickly tackle and learn about new problems, domains, and tools
  • Demonstrated ability to lead, problem solve, and deliver results
  • Exceptional written, verbal, and interpersonal communication skills
  • Ability to interact professionally with a diverse group, including executives, managers, and subject matter experts
  • Knowledge of basic data structures and operations
  • Proficient in statistical methods and theory
  • Experience using a coding language such as Python and/or R to cleanse and explore data in order complete an analysis
  • Some familiarity with SQL is a plus

Additional Information

What you should know about us: 

  • We are humble, hungry, and smart. We solve big problems, serve lots of clients, and are entirely committed to delivering transformative outcomes. 
  • We are team players, deeply dedicated to the mission of the organization, and to helping everyone around us be successful. 
  • We compensate well, rewarding performance that delivers positive outcomes for our clients and ensuring incentives are aligned to achieve our goals. 
  • Our leaders work hard, serving as shining examples of what it means to live out our values. They are servant leaders, helping their teams to be successful in all possible ways. 
  • We have a great benefits package including unlimited vacation, significant 401k contributions, and several opportunities to develop yourself. 
  • We pride ourselves in having the best talent in the industry and hope that you're up for the challenge! 

What our team members say about us:

  • "I love our true empathy and concern for our clients, it's very rare and appreciated. It is a pleasure to be a part of an organization like this."
  • "I learn something new every single day, and I feel like I'm a part of building an organization that has legs. I appreciate that I'm consistently humbled by the talent and caliber of our team."
  • "The culture of the company is amazing, and the climate of my team is great. The benefits that employees are offered are better than competitors, and the one-on-one presence that my team lead gives is extremely beneficial to me."

All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status.

Equal Opportunity Employer

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  9  1  0
Category: Analyst Jobs

Tags: Computer Science Consulting Consulting firm Data Analytics Mathematics Python R SQL Statistics

Perks/benefits: Career development Unlimited paid time off

Region: North America
Country: United States

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