Jobs / United States / Upgrade INC
Data Analyst II (Ops Analytics Focus)
Upgrade INC · 🇺🇸 Phoenix
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 27 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 13 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 Upgrade INC paid sponsored hires in similar roles1 certified filing for “Data Analyst” (Credit Analysts) in AZ: $80k–$80k, median $80k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- 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.
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Sponsor Radar — Upgrade INC
The US Department of Labor certified 27 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 13 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 Upgrade INC →
About the role
About the Role: Are you a data-savvy professional with an analytical mindset who thrives on exploring data and extracting insights? Do you have an aptitude for visualizing those insights and presenting them in ways that improve operational decision-making? Are you attracted to an entrepreneurial culture and energized by high growth? If so, read on. We are seeking a Data Analyst II to join our growing Operations Analytics team.This key role will leverage both quantitative and qualitative skills to increase the organizational value of the Phoenix Service Center by influencing insight-driven decision making (Analysis), ensuring improved performance measurement (Visualization) and identifying solutions to help optimize operations (Prediction) As you build relationships across the operation, you will be instrumental in exploring and modeling data in order to identify new opportunities for efficiency and improvement, then visualizing critical insights to improve decision making. Partnering with the operational leaders to create and design/develop performance measurement KPIs and build out the associated dashboards will also be key to gaining momentum within this role. You will work in areas like capacity planning, workload forecasting, workforce analytics, business impact analytics, call center analytics and customer experience analytics. To be successful in this role you must be detail-oriented, creative, innovative, consultative, willing to learn and grow and enjoy a fast-paced, challenging environment. You will benefit from having a talent for “telling the story” with data, keeping the user experience in mind, as well as exposure to data/statistical modeling, relational database utilization and data wrangling techniques. Our preference is for candidates to work on a hybrid basis from our Phoenix office; however, we are open to remote arrangements for the right candidate. What You'll Do: • Consult with internal operations leaders to identify problems or opportunities that can leverage data and analytics, building trusted stakeholder relationships and bringing curiosity to uncover the real business problem worth solving • Collect, analyze and interpret large data sets from various sources to answer high-impact business questions and identify patterns, trends, and insights • Perform in-depth analyses and then create data models to identify trends and key drivers that inform important decisions across the business • Apply statistical, simulation, and forecasting methods, including hypothesis testing, regression, A/B testing, Monte Carlo simulation, and time series forecasting, to quantify the impact of operational and business decisions and anticipate future outcomes • Translate analytical findings into clear recommendations, using visualizations and presentations to communicate insights and drive stakeholder decisions • Use data storytelling techniques to simplify complex findings into narratives that resonate with non-technical stakeholders and drive action • Manage multiple analytics projects with accuracy and attention to detail, prioritizing tasks to meet deadlines • Translate ambiguous business questions into structured, testable analytical approaches that meet stakeholder requirements and support broader use-case goals • Drive best practices to improve the quality and effectiveness of our analytics function across capacity planning, workforce analytics, and customer/call center analytics • Partner with operations leaders to define business KPIs and analytical frameworks that inform dashboards and simplify decision making • Stay up-to-date with industry trends and emerging technologies, and seek out opportunities to develop new skills What We Look For: • Bachelor's degree in data analytics, mathematics, statistic