Data & Analytics Consultant Intern - Summer 2026 (Hybrid in Indianapolis, IN or Dallas, TX)

Resultant•Indianapolis, IN

5h•Hybrid

About The Position

Launching your career at Resultant means more than just a job title — it means becoming a catalyst for change. As a Data & Analytics Consultant Intern, you will:

Requirements

Rising Senior enrolled in a Bachelor’s degree program in a relevant field of study, preferably graduating in the Spring of 2027.
Please note, this internship has a start date in June 2026.
Must live in the Indianapolis, IN or Dallas, TX areas during the summer of 2026.
Must be legally authorized to work in the United States for any employer without sponsorship.
Exceptional written, verbal, and interpersonal communication skills.
Demonstrated ability to problem‑solve, think creatively, and deliver results.
Strong organization, prioritization, and time‑management abilities.
Ability to work independently and collaboratively within diverse, cross‑functional teams.
Deep intellectual curiosity and a willingness to learn new tools, methods, and domains.
Comfortable interacting professionally with stakeholders including executives, managers, subject matter experts, and technical teams.
Experience working in deadline‑driven environments.
Understanding of relational database concepts, such as tables, keys, and simple normalization.
Ability to write basic SQL queries (SELECT, JOIN, WHERE, GROUP BY) to explore and analyze data.
Foundational knowledge of data structures and statistical concepts, including descriptive statistics and simple inferential ideas.
Exposure to ETL/ELT concepts, such as data cleaning, transformation, and preparing datasets for reporting or analysis.
Understanding of data modeling basics, including fact vs. dimension tables and star schema concepts.
Introductory experience with Python or R, especially for data manipulation or exploratory analysis.
Familiarity with data visualization tools (Power BI, Tableau, or similar) to build simple dashboards or charts.
Experience working with spreadsheets (Excel or Google Sheets) for analysis, formulas, pivot tables, and lightweight modeling.
Exposure to version control systems such as Git or GitHub, even at a basic level (e.g., cloning, committing, branching).
Exposure to project/collaboration tools such as Jira, Azure DevOps, Google Workspace, Office 365, or Lucidchart.

Responsibilities

Collaborate with cross‑functional teams to support client projects and move work forward.
Engage with clients and stakeholders by asking thoughtful questions, synthesizing feedback, and presenting findings.
Identify, gather, and prepare data using structured, reproducible methods (including SQL, spreadsheets, or basic scripting).
Apply foundational analytical and statistical techniques to uncover insights, trends, and patterns that address client needs.
Build clear data visualizations or reports using tools such as Power BI, Tableau, or spreadsheets.
Document business and functional requirements and translate insights into actionable plans and solution designs.
Create process maps, workflow diagrams, and supporting documentation to clarify complex concepts.
Participate in testing activities by assisting with test scenarios, validating results, and ensuring solution quality.
Use project and collaboration tools to stay organized and support team workflows.
Communicate status, risks, and insights clearly with teammates, clients, and stakeholders to maintain alignment and ensure project momentum.