Open to business analyst & data opportunities

Turning business needs into clear data solutions.

Business Analyst with 5+ years of experience across data, reporting, requirements, UAT, process improvement, and stakeholder delivery — with hands-on expertise in Power BI, Snowflake, SQL, Oracle, Python, and Advanced Excel.

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📍 New Jersey ✈ Open to Relocation ✉ shubhamtambe457@gmail.com
5+Years delivering business, reporting, and technology initiatives
8+Core analytics and delivery tools across BI, databases, and SDLC
360°Requirements → analysis → UAT → implementation support
Cross‑functionalBusiness, engineering, operations, finance, sales, and technology
Experience

Where I’ve delivered impact.

I combine business analysis discipline with hands-on data and reporting capability to move initiatives from discovery through validation and implementation.

Feb 2025 — Sep 2026
New York, NY · Hybrid

Business Analyst — Data & Analytics

Federal Home Loan Bank of New York
  • Gathered and documented business and functional requirements, data requirements, business rules, scope, success criteria, and acceptance criteria.
  • Developed Power BI dashboards and reports using Snowflake, Oracle, SQL, and Excel for business and management stakeholders.
  • Performed data validation, reconciliation, and root-cause analysis across multiple sources to resolve reporting and data-quality issues.
  • Created data-flow, mapping, reporting logic, process, and business-rule documentation for repeatable reporting processes.
  • Supported UAT and implementation by validating outputs, identifying defects, communicating findings, and confirming business outcomes.
  • Partnered across business, engineering, operations, and technology teams to improve processes and communicate risks, issues, findings, and recommendations.
May 2019 — Dec 2022
Aspen, CO · Hybrid

Business Analyst — Sales & Marketing Analytics

Hotel Jerome · Auberge Resorts Collection
  • Partnered with Sales, Marketing, Finance, and Operations to translate business needs into reports, dashboards, KPIs, and analytical solutions.
  • Developed SQL-based reporting, Power BI dashboards, KPI reporting, and operational metrics for leadership decision-making.
  • Analyzed customer, revenue, sales, and operational data using SQL, Python, and Advanced Excel to identify trends and performance drivers.
  • Improved recurring reporting through automation, workflow standardization, validation, and stronger documentation.
  • Communicated analytical findings, project updates, business issues, and recommendations to technical and non-technical stakeholders.
Master Skill Set

Business + data + delivery.

A portfolio-ready master view of the capabilities represented in my resume, organized for hiring managers and recruiters.

Business Analysis

Requirements GatheringRequirements ElicitationBRDsFunctional RequirementsUser StoriesAcceptance CriteriaGap AnalysisBusiness RulesProcess MappingProcess Improvement

Data & Reporting

Power BISnowflakeSQLOraclePythonPandasAdvanced ExcelTableauKPI ReportingData ReconciliationData QualityRoot-Cause Analysis

Testing & Delivery

UATTest ScenariosAcceptance TestingDefect TrackingData Validation TestingImplementation SupportProduction ReadinessIssue Resolution

Documentation

Data FlowsReporting LogicSource-to-Target MappingProcess DocumentationData SourcesReporting RequirementsTechnical Documentation

Stakeholder & Project

Stakeholder ManagementCross-Functional CollaborationProject CoordinationWork RequestsRisk & Issue CommunicationRecommendationsExecutive Presentations

Tools & Methodologies

Azure DevOpsJiraConfluenceMicrosoft OfficeAgileScrumSDLC
Portfolio Highlights

How I approach the work.

Three recurring strengths across my experience: translate needs clearly, validate the data deeply, and deliver outputs stakeholders can actually use.

01 · Reporting

Business needs → decision-ready dashboards

Translate reporting requirements and business rules into structured Power BI dashboards, SQL-based reports, and KPI views.

Focus: clarity, repeatability, stakeholder usability
02 · Data Quality

Discrepancies → root cause

Reconcile source data, validate outputs, isolate errors, and partner with technical teams to improve reporting accuracy and data quality.

Focus: validation, reconciliation, issue resolution
03 · Delivery

Requirements → UAT → implementation

Support the full lifecycle through requirements, documentation, UAT scenarios, defect communication, production readiness, and implementation validation.

Focus: traceability, quality, business outcomes
Education

Analytics foundation.

Master of Science in Business Analytics

Quinnipiac University · Jan 2023 — May 2025 · GPA 3.5

Coursework: Machine Learning, Predictive Analytics, Python, R, Data Mining, Statistical Analysis, and Data Visualization.

M.S.
Business Analytics

Let’s build something useful.

I’m open to Business Analyst, Data & Reporting, Analytics, and related opportunities where strong requirements, data validation, reporting, and stakeholder collaboration matter.

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