---
title: "Arya Goel - Senior Associate Analyst in Seattle | Tal"
description: "Meet Arya Goel, Senior Associate @ ANS Growth Advisors | Ex-Data Analyst @ Blue Tokai Coffee Roasters | Backend Software and Data Engineer | Ex-Data Engineering Intern @ AT&T | ECE Grad with Machine Learning Expertise based in Seattle. AI stack includes claude code, claude, and ChatGPT."
image: "https://tal.club/meet/arya-goel/share-image"
---

# Arya Goel on Tal

## Headline

Senior Associate @ ANS Growth Advisors \| Ex\-Data Analyst @ Blue Tokai Coffee Roasters \| Backend Software and Data Engineer \| Ex\-Data Engineering Intern @ AT&amp;T \| ECE Grad with Machine Learning Expertise

## About

Hey, I'm Arya\! A financial analyst and data professional with experience spanning investment banking, FP&amp;A, and data engineering — bridging the gap between complex data and high\-stakes commercial decisions\. I currently lead the investment banking vertical at ANS Growth Advisors, managing a $35M\+ live deal portfolio across 8 mandates in Healthcare, Education, Fashion, F&amp;B, and Consumer sectors\. My work covers end\-to\-end deal execution — valuations, deal structuring, business plan development, and strategic advisory — having closed $5M in deal value within 7 months of joining\. Previously at Blue Tokai Coffee Roasters, I worked directly with the CFO, Founders, and Directors as Assistant Manager — Data Analyst, Finance, leading financial analytics and reporting across AOPs, P&amp;Ls, MIS, and board\-level presentations\. I designed Tableau dashboards that accelerated decision\-making by 30%, automated SQL and Python data pipelines cutting manual reporting by 40%, and built 5\-year business plans and cohort/SSG frameworks used directly in strategic decisions\. Earlier, as a Data Engineering Intern at AT&amp;T, I built 50\+ cloud\-based ETL pipelines optimising 100\+ TB of data, designed 200\+ relational database tables achieving a 30% reduction in query response times, and managed automation across 500\+ data sources\. I hold dual degrees from the University of Washington — a B\.S\. in Electrical &amp; Computer Engineering \(Machine Learning\) and a B\.S\. in Data Science — with GPAs of 3\.6 and 3\.7 respectively\. What I bring: A rare combination of investment banking deal experience, CFO\-level financial analytics, and hands\-on data engineering capabilities — making me equally comfortable in a boardroom conversation and a Python environment\. SKILLS: Financial — Valuation, DCF, AOP, P&amp;L, MIS, Business Planning, Deal Structuring, Market Sizing, EBITDA Analysis Data &amp; Analytics — Python, SQL, R, Tableau, PowerBI, Excel, Pandas, NumPy Data Engineering — ETL Pipelines, AWS, Databricks, PySpark, PostgreSQL, MySQL, DBeaver, Teradata SQL, Docker, Git 📩 aryagoel1@gmail\.com

## Location

Seattle

## AI stack

claude code

claude

ChatGPT

ChatGPT Images

## Work experience

Senior Associate Analyst at ANS Growth Advisors, Nov 2025 \- Present · 1 yr, Gurugram, Haryana, India, · Lead the investment banking vertical managing a $35M\+ live deal portfolio across 8 mandates in Healthcare, Education, Fashion, F&amp;B, and Consumer sectors, with individual deal sizes ranging from $1M to $10M\. · Closed $5M in deal value across 3 transactions within 7 months, driving end\-to\-end execution including company valuations, deal structuring, and negotiations for businesses with revenues of ₹40Cr – ₹100Cr\+ ARR\. · Developed comprehensive 5\-year business plans and Annual Operating Plans \(AOPs\) for portfolio clients across consumer\-facing sectors, enabling founders to drive strategic decisions\. · Built 3 comprehensive business plans for portfolio clients encompassing MIS enhancement, cohort planning, SSG analysis, and profit improvement strategies — including a ₹100Cr to ₹500Cr ARR growth roadmap\. · Supported the advisory and consulting practice by delivering financial models, market sizing frameworks, and strategic roadmaps — directly advising founders on business structuring, capital allocation, and long\-term value creation\.

Assistant Manager Data Analyst \- Finance at Blue Tokai Coffee Roasters, Oct 2024 \- Oct 2025 · 1 yr 1 mo, New Delhi, Delhi, India, Spearheaded and executed key financial and business intelligence projects, partnering closely with the Chief Financial Officer \(CFO\) and senior leadership to drive revenue optimization, business scaling, and profitability enhancement\. Key Achievements &amp; Responsibilities: 1\. Financial &amp; Strategic Planning: \- Led multiple high\-impact data analytics and financial reporting initiatives, including Annual Operating Plans \(FY 25\-26, FY 24\-29\) by coordinating with HODs and Directors across verticals to model revenue, cost projections, and profitability targets\. \- Conducted Sales Growth Analysis to evaluate revenue trends across existing store locations, enabling targeted expansion and performance strategies\. 2\. Executive &amp; Investor Reporting: \- Developed and standardized Investor Presentations, Monthly MIS Reports, and Board Meeting Decks, ensuring precision, clarity, and actionable insights for leadership and investors\. \- Collaborated directly with the CEO and CFO to perform investor\-requested analyses, including detailed Revenue and EBITDA trend analysis using Excel\. \- Delivered Company Growth &amp; Townhall Presentations, providing in\-depth insights to guide long\-term business strategy and expansion plans\. 3\. Cost Optimization &amp; Profitability Initiatives: \- Partnered with teams from Zomato Hyperpure to analyze café\-level and company\-level cost savings, identifying opportunities to improve profitability and efficiency\. \- Designed automated Food Cost Analysis Models based on live sales data, reducing food cost variance by 10% and improving cost efficiency\. 4\. Built key dashboards including: \- P&amp;L Dashboard \(MIS\): Designed and deployed Tableau Dashboards providing real\-time visibility into financial and operational performance, accelerating decision\-making by 30%\. \- Automated data pipelines with SQL, Python, and Google Sheets, cutting manual reporting by 40% and boosting accuracy\. \- Channel\-wise Sales \(Target vs\. Achieved\): Enabled data\-driven sales strategy refinements\.

Data Science Minor Advisory Board Member at Data Science Board, iSchool UW, Aug 2022 \- Sep 2023 · 1 yr 2 mos, Seattle, Washington, United States, Prepare students for later educational experiences by encouraging them to explore learning opportunities and to persevere with challenging tasks\. Plan and conduct orientation programs and group conferences to promote the adjustment of individuals to new life experiences such as starting college\.

Data Engineer Intern at AT&amp;T, Jun 2022 \- Aug 2022 · 3 mos, Seattle, Washington, United States, Supported the team in Mobile Broadband Network Services in the following areas: Data Engineering \(set up cloud based ETL pipelines\) Also handled a relational Database table design and dealt with software automation and data ingestion processes\. Used Power BI/Python/R for data visualization and statistical analysis \(regression and hypotheis testing\)

Cyber Security Analyst at Batman's Kitchen, Sep 2021 \- Aug 2022 · 1 yr, Seattle, Washington, United States, Represented UW at the CCDC \(National Collegiate Cyber Defense Competition\)\. Worked with a team of skilled cyber security specialists to build projects based and revolving around the honeypot concept\.

## Education

Bachelor of Science \- BS, Electrical and Computer Engineering \(ML\), University of Washington

Bachelor of Science \- BS, Data Science, University of Washington

[View the original profile](https://tal.club/meet/arya-goel)

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