Business Analyst

ISA Consulting is an IT company offering end-to-end solutions in Digital Transformation, Digital Consulting and Business Process Services - supporting all Tech Stacks. Collectively we service a multitude of clients across industries and company verticals. We are a culmination of some of the brightest Full Stack Developers, Data Engineers, Architects, Project Managers, Quality Analysts, Strategists, spanning across multiple time zones. Job Summary The Business Analyst is a key quantitative contributor of the Product Strategy team, helping to answering the questions that matter most through data analysis: why we win some deals and lose others, which accounts are at risk and why, what it actually costs to serve a customer, and whether we're tracking to our OKRs. This is an outbound-facing analytical role. The analyst lives in data, models, and leader-ready narratives — not in backlog grooming, story writing, or sprint ceremonies. Candidates seeking a traditional product owner track will find this a poor fit; those who want to own the numbers that shape what the product team builds and prices will find it an excellent one. Key Responsibilities Commercial & Competitive Analytics Maintain core commercial metrics: win/loss rates, renewal and churn, net and gross revenue retention, expansion and downgrade activity. Quantify competitive displacement — share of lost business attributable to specific named competitors, by segment, product, and deal size — and track how those patterns shift. Move beyond description into explanation: form hypotheses about why patterns exist, test them, and draft causal analyses that separate correlation from causation and state assumptions explicitly. Unit Economics & Cost Modeling Analyze cloud infrastructure spend by product and workload — storage, compute, search/indexing, data transfer —and translate it into cost-to-serve per customer, per matter, and per unit of data under management. Build and maintain gross margin models by product line, tier, and cohort; project margin forward under different growth, pricing, and utilization assumptions. Develop cost sensitivity and scenario models showing how margin responds to changes in usage, infrastructure pricing, storage tiering, discounting, and product mix. KPI / OKR Reporting Own several Power BI dashboards used by senior product leaders. Maintain a documented metric dictionary so a number means the same thing in every meeting. Produce recurring monthly and quarterly reporting with commentary that explains movement. Supply the analytical foundation for market and segment sizing, competitive positioning, launch performance, and pricing and packaging decisions. Provide and validate the data behind battlecards, competitive claims, and ROI/TCO justifications. Source and reconcile data across CRM, product analytics, billing, and cloud cost tooling. Preferred Experience 2–5 years at a Big Four or comparable advisory firm — at the Consultant, Senior Consultant, Associate, or SeniorAssociate level. A top-tier strategy firm is equally welcome. Practice background in Strategy & Transactions, Commercial Due Diligence, Valuation & Modeling, Business Transformation, Forensic & Integrity Services, or Data & Analytics. Demonstrated ability to build a model from a blank workbook — cohort, unit economics, or scenario/sensitivity — and defend the assumptions when an executive pushes back. Exposure to SaaS metrics (ARR, NRR/GRR, CAC payback, gross margin, Rule of 40) and to cloud cost management or FinOps concepts (cost allocation, storage tiering, tagging, showback/chargeback). Legal technology or eDiscovery experience is a meaningful plus. Qualifications Bachelor's degree in a relevant field such as Business, Economics, Finance, Mathematics, Financial Markets, Statistics, Computer Science, Information Technology, Legal Studies, or a related discipline. Strong analytical and problem-solving skills, with the ability to structure and interpret data from multiple imperfect sources. Advanced Excel is required — complex modeling, Power Query, pivot architecture, etc. Working proficiency with Power BI (or Tableau/Looker), including data modeling. Not required but a plus--Familiarity with SQL, R, or Python sufficient to pull and manipulate data independently. Experience with AI-assisted analysis tools such as Claude for research synthesis, drafting, model prototyping. Basic understanding of the software development lifecycle and product development. Understanding of eDiscovery processes or legal technology is a plus. Familiarity with Salesforce, Gong, Pendo, or HubSpot is a plus. Deep experience with Jira, Azure DevOps, or ProductBoard is helpful but not required. Excellent written and verbal communication, with the ability to compress a complex analysis into a clear recommendation — and the attention to detail to ensure the numbers hold up. Ability to work with team across the isle from Product - Finance, Sales, Customer Success, and Engineering - while managing multiple concurrent workstreams. Hiring Policy This job description may evolve over time. ISA Consulting is dedicated to diversity and inclusion, ensuring a fair workplace for all, regardless of race, color, religion, gender, national origin, age, disability, or any other protected status. (RV) #J-18808-Ljbffr