Jobs / United States / Resultant LLC
Data & Analytics Consultant Intern - Summer 2027 (Hybrid in Chicago)
Resultant LLC · 🇺🇸 Chicago, IL, US
Sponsorship verdict
Sponsorship unlikely
Something in the evidence works against sponsorship — see below before you invest time.
- Employer is on a government sponsor recordThe US Department of Labor certified 6 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Resultant LLC paid sponsored hires in similar roles1 certified filing for “Data Engineer” (Data Scientists) in TX: $80k–$80k, median $80k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Existing work authorization requiredFrom the posting’s own wording.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
Existing work authorization required — the posting’s wording suggests candidates who already hold work rights. Read the original listing carefully.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Resultant LLC
The US Department of Labor certified 6 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Resultant LLC →
About the role
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: • 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, basic scripting, and AI-assisted data prep tools. • Apply foundational analytical and statistical techniques, including AI-assisted pattern discovery and hypothesis generation, 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, incorporating AI-assisted features where applicable to accelerate development. • Document business and functional requirements and translate insights into actionable plans and solution designs — including identifying opportunities where AI or automation can streamline manual processes. • Create process maps, workflow diagrams, and supporting documentation to clarify complex concepts. • Participate in testing activities by assisting with test scenarios, validating results (including outputs from AI-assisted tools), and ensuring solution quality. • Use AI copilots and prompting techniques to accelerate research, documentation, and analysis — while critically evaluating outputs for accuracy and applicability. • 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. • Gain hands-on exposure to Resultant's AI-native delivery methodology and modern data platform practices. Some of the qualifications and skills we are expecting include the following: • Rising Senior enrolled in a Bachelor's degree program in a relevant field of study, preferably graduating in the Spring of 2028. • Please note, this internship has a start date in June 2027. • Must live in the Chicago IL, area during the summer of 2027. • Expectation of 3 days in office per week at a minimum. • Must be legally authorized to work in the United States for any employer without sponsorship. Core Skills & Competencies • 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. Technical & Analytical Skills • 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, T