Finance AI Analyst
How well this resume fits
Compared with a sample resume. Compare your own
Not sure The job lists no required items.
How close the work is
Moderate3 of 6 named skills are shown in described work and 0 are only listed or mentioned (rule: met = 1, partial = ½; strong ≥ 75%, moderate ≥ 50%).
How strong your resume shows it
StrongOf 5 supported items, 3 have strong evidence (a reported result or a confirmed answer) and 2 moderate (used in a described task).
What the job asks for
| What the job asks | Required? | Do you have it? | From your resume |
|---|---|---|---|
| Skill NLP Design, build, and maintain AI/ML models and pipelines that support finance analytics use cases (forecasting, anomaly detection, classification, NLP on financial documents). | Not stated | Not sure The résumé doesn't mention NLP. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Experience 2+ years of experience 2+ years of experience in data engineering, analytics engineering, or applied AI/ML roles. | Not stated | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 2+. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Skill SQL Strong SQL proficiency | Not stated | Yes The résumé shows SQL used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Built and maintain 14 Tableau dashboards on SQL Server for on-time delivery, carrier cost and warehouse throughput, used by 60+ managers each week. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
| Skill Snowflake hands-on experience with Snowflake (Snowpark, Cortex AI, ML functions preferred). | Not stated | Not sure The résumé doesn't mention Snowflake. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill ML models Experience building and deploying ML models (Python, or similar). | Not stated | Not sure The résumé doesn't mention ML models. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill Python Experience building and deploying ML models (Python, or similar). | Not stated | Yes The résumé shows Python used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Wrote a demand forecast in Python (pandas, statsmodels) for 120 lanes that cut forecast error from 22% to 14%. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
| Ability to debug end-to-end data flows in a Data Warehouse environment — identify breakpoints in staging, transformation, and presentation layers. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Familiarity with finance data domains (GL, AP, AR, fixed assets, cost accounting) or SAP Finance. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill Tableau Experience with BI tools (Tableau preferred). | Not stated | Yes The résumé shows Tableau used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Built a no-show analysis in Tableau that helped three clinics change reminder timing and lower no-shows by 11%. Built and maintain 14 Tableau dashboards on SQL Server for on-time delivery, carrier cost and warehouse throughput, used by 60+ managers each week. Loaded 30M trip records into PostgreSQL and used Python to study fares and tipping by time of day; published the findings with a Tableau Public dashboard. |
| Strong communication skills | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| ability to present AI concepts to non-technical finance stakeholders. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Knowledge of finance portfolio management, FP&A, or treasury analytics. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Familiarity with SDLC and CI/CD for data/ML pipelines. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Required Education and Training | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Education Bachelor's Bachelor's degree in finance, computer science, mathematics, information systems, or business. | Not stated | Yes B.S. (A past date (2020) is listed; the resume doesn’t say “expected”, so this is treated as completed.) (Parsed from lower-quality page text; check it against the original posting.) | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Details can vary by role. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
Left out 2 sentences about equal-opportunity or legal wording: they describe the employer, not what you need.
How the match was worked out
Coverage: what the job asks, what the résumé shows, what is left
33% of the weighted requirements are covered by résumé evidence. preferred: met 2, partly 0, missing 4 · required: met 3, partly 0, missing 6 · unknown: met 0, partly 0, missing 1
weight = 3 required / 2 preferred / 1 unknown, +1 emphasis (expert, strong, extensive…), +1 named in the job title, +½ per repeat (max +1); rating = 3 met, 2 partially met with the term in described work, 1.5 partially met (listed or mentioned), 0 unknown or mismatch; coverage = Σ weight×rating/3 ÷ Σ weight over rows that can be judged (work-authorization, location and clearance rows need your answer and are left out).
Missing from the résumé
- required r10 Strong communication skills (weight 4.0) missing: Communication
- required r5 Experience building and deploying ML models (Python, or similar). (weight 3.0)
- required r7 Ability to debug end-to-end data flows in a Data Warehouse environment — identify breakpoints in staging, transformation, and presentation layers. (weight 3.0) missing: Presentation found: Data warehousing
- required r8 Familiarity with finance data domains (GL, AP, AR, fixed assets, cost accounting) or SAP Finance. (weight 3.0) missing: GL, AP, AR, Accounting, SAP found: Finance
- required r11 ability to present AI concepts to non-technical finance stakeholders. (weight 3.0) missing: AI, Stakeholder management found: Finance
- required r14 Required Education and Training (weight 3.0) missing: Training
- preferred r4 hands-on experience with Snowflake (Snowpark, Cortex AI, ML functions preferred). (weight 3.0) missing: Snowpark, AI, Machine learning
- preferred r12 Knowledge of finance portfolio management, FP&A, or treasury analytics. (weight 2.0) missing: FP&A found: Finance, Data analysis
- preferred r13 Familiarity with SDLC and CI/CD for data/ML pipelines. (weight 2.0) missing: SDLC, CI/CD, Machine learning, ETL / ELT
- preferred r16 Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination agains (weight 2.0) missing: Intuitive, COVID
- unknown r1 Design, build, and maintain AI/ML models and pipelines that support finance analytics use cases (forecasting, anomaly detection, classification, NLP on financia (weight 1.0) missing: Design, AI, Machine learning, ETL / ELT found: Finance, Data analysis, Forecasting
Only partly shown
Nothing is only partly shown.
Needs your answer
Nothing depends on an answer.
Sentences the rules cannot check (not counted)
- preferred r17 Details can vary by role. (weight 2.0)
Lines under a requirements heading the rules could not turn into an item
- Preferred Qualifications: Experience with LLM-based applications, RAG architectures, or Snowflake Cortex Agents.
- Preferred Qualifications: Additional Information:
- Preferred Qualifications: Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard
- Preferred Qualifications: Mandatory Notices
What the role does (not weighted)
On the résumé: Healthcare, Finance, Data analysis, Forecasting, Data warehousing
Not on the résumé: Intuitive, Vinci, Ion, Collaboration, AI, Analyt, Design, Machine learning, Enterprise Analytics, hands-on experience in AI, translating business requirements into intelligent, automated insights, ETL / ELT, NLP, Data modeling, Snowflake, Cortex, Problem solving, EDW, Stakeholder management, Manufacturing, LLMs / generative AI
Job title terms: Finance (found), AI (not found)
What the résumé says (as the rules read it)
Skills: Python (supported by outcome), SQL (supported by outcome), Tableau (supported by outcome), Excel (supported by outcome), pandas (supported by outcome), PostgreSQL (used in task), A/B testing (listed), Git (listed), Matplotlib (listed), NumPy (listed), Power BI (listed)
Roles: Data Analyst at Harborline Logistics (Jun 2022 – Present); Junior Data Analyst at Cedar Ridge Health Network (Jul 2020 – May 2022); Data Analytics Intern at Lakeshore State University, Office of Institutional Research (May 2019 – Aug 2019)
Years in dated roles: 6.7
Education: B.S. in Statistics (completed)
Certifications: Tableau Desktop Specialist, Google Data Analytics Professional Certificate
Quantified achievements: 4
On the résumé but not asked by this job: Operations, Healthcare, Reporting, Dashboards, SQL querying, Supply chain, Data cleaning, Active Directory, Research, Spreadsheets, Statistics
Résumé terms the rules don't know: OH, Server, Network, Office, Access, NYC, Taxi Trip Analysis, Tableau Public, Harborline, Economics, Professional Certificate (matched by plain text only; tell us if one should be a skill)
Job description
Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here. Job Description: Primary Function of Position The Finance AI Analyt will design and deploy AI/ML-driven analytics solutions within the Finance franchise of Enterprise Analytics. This role combines deep data engineering skills with hands-on experience in AI/ML techniques applied to financial data, translating business requirements into intelligent, automated insights. Roles and Responsibilities - Design, build, and maintain AI/ML models and pipelines that support finance analytics use cases (forecasting, anomaly detection, classification, NLP on financial documents). - Develop and optimize data models in Snowflake, leveraging Cortex or equivalent tool AI functions. - Debug and troubleshoot complex data models across the Enterprise Data Warehouse (EDW) stack — trace data lineage, validate transformations, and resolve discrepancies at the model layer. - Partner with Finance stakeholders to identify high-impact AI opportunities and translate them into production-grade solutions. - Evaluate and integrate emerging AI tools (LLMs, generative AI, vector search) into the analytics ecosystem. - Establish best practices for model monitoring, versioning, and governance. Qualifications: Qualifications Required Skills and Experience - 2+ years of experience in data engineering, analytics engineering, or applied AI/ML roles. - Strong SQL proficiency; hands-on experience with Snowflake (Snowpark, Cortex AI, ML functions preferred). - Experience building and deploying ML models (Python, or similar). - Ability to debug end-to-end data flows in a Data Warehouse environment — identify breakpoints in staging, transformation, and presentation layers. - Familiarity with finance data domains (GL, AP, AR, fixed assets, cost accounting) or SAP Finance. - Experience with BI tools (Tableau preferred). - Strong communication skills; ability to present AI concepts to non-technical finance stakeholders. Preferred Qualifications - Experience with LLM-based applications, RAG architectures, or Snowflake Cortex Agents. - Knowledge of finance portfolio management, FP&A, or treasury analytics. - Familiarity with SDLC and CI/CD for data/ML pipelines. Required Education and Training - Bachelor's degree in finance, computer science, mathematics, information systems, or business. Additional Information: Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Mandatory Notices U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. Accommodation & Accessibility Notice: Intuitive is committed to providing reasonable accommodations to qualified individuals with disabilities. If you require assistance or an accommodation during any part of the application or interview process, please contact People Services at [email protected]. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.