Vetted Business Analysts

David McGrouther

Screened

Senior Solutions Engineer specializing in SaaS demos, technical validation, and customer-facing engineering

San Francisco Bay Area, CA10y exp

“Solutions Associate / technical support professional with experience assessing and fixing multi-script JavaScript issues, providing timelines, and managing scope changes with customers. Has supported customers by diagnosing recurring campaign issues, running technical demos with stakeholder feedback loops, and enabling self-service so customers can resolve problems independently.”

“Operations-focused analytics candidate with hands-on experience turning messy production and QA data into clean reporting tables using SQL and Python. They have built repeatable Excel-based KPI workflows, defined practical manufacturing performance metrics, and used machine/shift segmentation plus stakeholder-friendly dashboards to reduce defects and improve production efficiency.”

“Healthcare product leader at Banner Health building human-centered AI tools for patient access and triage. They’ve launched an internal LLM/ML triage chatbot, redesigned Salesforce-based scheduling workflows, and manage a 3-person team whose output improved 20% through coaching and cross-training. Particularly strong in balancing AI innovation with clinical trust, operational usability, and HIPAA/PHI compliance.”

“Analytics professional with hands-on experience spanning enterprise supply chain data and workforce analytics. They’ve worked on a Manhattan Active WMS implementation for a pharmaceutical client integrating MAWM, JD Edwards, and Boomi, and also built SQL/Python/Tableau solutions for BankUnited/FIU to standardize retention and engagement reporting. Strong fit for roles requiring messy data wrangling, KPI operationalization, and stakeholder-trusted dashboards.”

Luke McConnell

Screened ReferencesModerate rec.

Executive product leader specializing in digital products and FinTech

Naperville, IL11y exp

“Product leader with deep experience building and modernizing complex systems in regulated industries, especially banking and logistics. They led a major core banking platform rebuild, introduced AI-driven operational features, and drove a mobile UX change that increased app usage by roughly 200%. Also brings people leadership experience from building a product team from scratch and a personal connection to education through ESL program work and a family background in special education.”

“Healthcare analytics professional with hands-on experience turning messy claims, eligibility, and utilization data into validated BI-ready models using SQL and Python. They combine strong data engineering and KPI design skills with stakeholder-facing delivery, including Power BI prototyping, retention metric operationalization, and analyses that supported care management interventions and cost-control decisions.”

“Quality/process professional with hands-on supplier quality experience across consumer hardware (electric skateboards) and construction/field services. Uses rigorous statistical and root-cause methods (Ishikawa, 5 Whys) to drive CAPA closure with overseas suppliers, adding inspection gates and IQC, and validating fixes through multi-month sampling follow-up.”

“BI/analytics candidate with healthcare and product analytics experience spanning Honor Health and ASU. They’ve worked on messy multi-system hospital supply data and also owned analytics for an AI-powered tax assistant, with quantified outcomes including 97% faster search, 92% retrieval accuracy, 30% fewer ad hoc procurement requests, and 15% lower operational cost.”

“Marketing analytics candidate who combines strong SQL data engineering with Python automation to turn messy GA4, Instagram, and Postgres data into reliable reporting and decision tools. They’ve built cohort- and retention-based measurement frameworks that shifted teams away from vanity metrics, improved campaign allocation, and drove roughly 30% better two-week retention.”

Sonam Chhatani

Screened

Mid-level AI Engineer specializing in causal inference and LLM research

New York, USA8y exp

“LLM engineer who has deployed a production system combining LLMs with causal inference (DoWhy) to enable counterfactual “what-if” analysis for experimental research, including a robust variable-mapping/validation layer to reduce hallucinations. Also partnered with non-technical operations leadership at Irriion Technologies to deliver an AI-assisted onboarding workflow that cut onboarding time by 50% and reduced manual errors by ~40%.”

“Analytics candidate with hands-on experience turning messy retail/customer data into clean reporting tables using SQL and PostgreSQL, then extending the work into Python-based reusable analysis workflows. They have applied segmentation, cohort analysis, and retention metric design to support dashboards and improve targeting, engagement, and repeat purchase performance.”

“SMB outbound sales candidate with cold-calling experience focused on restaurants and bars, making roughly 60-80 calls per day across shared markets. Stands out for strong rapport-building with owners and gatekeepers, using personalization and Atlanta market familiarity to win meetings, and shows initiative by applying prospecting tactics to her own job search.”

Panita Vaishnavi Kanaguduru

Screened

Mid-level Business Analyst specializing in retention, churn, and revenue analytics

Remote4y exp

“Early-career data analyst with hands-on experience at SuperWorld building SQL and Python analytics pipelines for product and growth use cases. They stand out for turning messy event and transaction data into validated funnel datasets, automating reporting to cut manual effort by ~40%, and partnering with product and marketing teams on conversion and engagement metrics.”

Sarah Johnson

Screened

Senior Software Engineer specializing in web applications for aerospace and insurance

8y exp

“Frontend engineer with hands-on experience building complex React/TypeScript workflows in insurance and interactive Cesium-based geospatial applications. Stands out for combining UI implementation with business-rule enforcement, shared component library improvements, and pragmatic performance decisions across both frontend behavior and database design.”

“Product/BA-oriented builder who combines AI tools, lightweight web delivery, and workflow design to turn ambiguous needs into usable solutions. Has experience spanning GitHub content intelligence dashboards, AI-agent customer training prototypes, federal healthcare cloud onboarding at the VA, and modernization of a black-box MS Access process into a transparent online workflow for the Millennium Challenge Corporation.”

“Operations/IT leader who has supported venture capital firms by rebuilding and consolidating their tech stacks and improving internal technology usage through training. Previously served as VP of Operations/IT at a VC (AlliedUP), owning IT plus HR and payroll and communicating tech improvements to investors; motivated to found a company and committed to entrepreneurship.”

“Growth-stage accounting/fintech operator at ClearBooks CPA who evolved from executing client onboarding and reporting to building AI-enabled operating infrastructure. They used Claude and ChatGPT to automate data validation and executive financial narratives, cutting onboarding time by 30% and reporting turnaround by 25%, while also introducing team cadence and CRM-based accountability that helped drive a 15% lift in client conversion.”

“Built and launched his own free-to-play mobile trivia games (Unity/Xcode/Android Studio), monetizing through IAPs and multiple ad networks (AppLovin/Chartboost/AdMob). Combines hands-on implementation with growth and analytics rigor—Facebook Ads + ASO, and daily tracking of retention, crashes, conversion, and LTV:CAC—plus a clear approach to A/B testing and live events tooling.”