Kanishk Gupta

Business Development Executive

Seattle, Washington, United States6 yrs 2 mos experience

Key Highlights

Built KPI reporting systems for Amazon's operational analytics.
Developed forecasting workflows for product and growth analytics.
Expert in ETL pipelines and data modeling across multiple platforms.

Stackforce AI infers this person is a Business Intelligence and Analytics expert in the SaaS and E-commerce sectors.

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Skills

Core Skills

Operational AnalyticsKpi ReportingProduct AnalyticsGrowth AnalyticsExperimentationCustomer Experience Analytics

Other Skills

SQLAmazon RedshiftAirflowAWSTableauSLA AnalyticsForecastingA/B TestingRoot Cause AnalysisMachine LearningPythonSnowflakeDatabricksdbtSegmentation

About

Outcome-driven business intelligence and analytics professional (M.S. Data Science, Syracuse University) with 6+ years of experience building KPI reporting systems, ETL workflows, dashboards, forecasting models, and experimentation analytics across e-commerce, operational analytics, product analytics, and growth analytics. At Amazon, I built operational analytics and reporting infrastructure for business reviews, SLA tracking, and root cause analysis. Previously, I built product, growth, and marketing analytics workflows across Snowflake, Databricks, dbt, BigQuery, and Tableau, supporting funnel analytics, attribution, segmentation, and forecasting use cases across multiple business functions. Passionate about building analytics infrastructure that improves decision-making speed, standardizes metric definitions, and helps teams act on reliable data. Business Intelligence, Analytics Infrastructure, Operational Analytics, Product Analytics, Growth Analytics, KPI Reporting, WBR Reporting, ETL Pipelines, ELT, Data Modeling, SQL, Spark, Airflow, Tableau, Python, Forecasting, Experimentation, A/B Testing, Attribution, Funnel Analytics, Root Cause Analysis

Experience

6 yrs 2 mos

Total Experience

1 yr 3 mos

Average Tenure

11 mos

Current Experience

Amazon

Senior Business Analyst - Business Intelligence / Analytics Engineer

Jun 2025 – Present · 11 mos · Seattle, Washington, United States · On-site

I support operational analytics and business intelligence infrastructure at Amazon, building KPI reporting systems, ETL workflows, and analytics products used by business, product, and engineering teams for business reviews, SLA performance tracking, and root cause analysis.
Own recurring business review (WBR) reporting workflows, including KPI definitions, metric governance, reporting logic, and standardized reporting outputs for operational performance management
Built and maintain ETL pipelines, data models, and reporting tables using SQL, Airflow, AWS (S3, EMR), and automated data quality checks for SLA analytics, lead time tracking, and TTR monitoring
Collaborated with program managers and engineering teams to translate business requirements into Tableau dashboards, semantic metric layers, validation rules, and scalable analytics workflows for decision support
Focus areas: Operational Analytics, WBR Reporting, KPI Frameworks, Metric Definitions, ETL Pipelines, Data Modeling, SQL, SparkSQL, Airflow, AWS, CloudWatch, Tableau, SLA Analytics, TTR Monitoring, Forecasting, XGBoost, Experimentation, A/B Testing, Root Cause Analysis, GTM

SQLAmazon RedshiftAirflowAWSTableauSLA Analytics+6

Iconsult collaborative at syracuse university

Senior Data Analyst - Product & Growth Analytics

Aug 2023 – Jun 2025 · 1 yr 10 mos · Syracuse, New York, United States

I supported product analytics, growth analytics, and demand generation analytics by building analytics datasets, KPI reporting pipelines, and decision-support workflows across product, web, CRM, and conversion data.
Built and maintained analytics tables and reporting datasets in Snowflake and Databricks for funnel analytics, customer journey analytics, conversion tracking, and business review reporting.
Developed forecasting, segmentation, and audience analytics workflows in Python and SQL for inventory planning, demand generation, lead scoring logic, and growth performance analysis.
Designed attribution-ready data models and multi-touch attribution reporting outputs to support channel performance analysis, funnel drop-off analysis, and marketing budget decisions.
Built dbt ELT models and Tableau dashboards to support product analytics, acquisition reporting, retention analysis, and recurring KPI monitoring across growth teams.
Focus areas: Product Analytics, Growth Analytics, Demand Generation Analytics, Marketing Analytics, KPI Reporting, Funnel Analytics, Customer Journey Analytics, Attribution Modeling, Multi-Touch Attribution, Snowflake, Databricks, dbt, ELT, Data Modeling, SQL, Python, Tableau, Forecasting, Segmentation, GTM

Machine LearningPythonSQLSnowflakeDatabricksdbt+5

Ugam

Business Intelligence Analyst - Growth Analytics & Experimentation

Dec 2020 – Jul 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India

I worked on business intelligence and growth analytics initiatives, building KPI dashboards, segmentation pipelines, experimentation reporting, and performance analytics workflows for marketing and business teams.
Developed Tableau dashboards, KPI definitions, and cohort reporting frameworks for conversion analytics, payback analysis, campaign performance monitoring, and weekly business reviews.
Built segmentation pipelines and reporting workflows in Snowflake and Airflow for audience prioritization, behavioral scoring, lifecycle segmentation, and outreach analytics.
Supported experimentation and A/B testing programs by defining hypotheses, success metrics, guardrails, and test readouts for landing page and checkout optimization.
Built analytical tables in BigQuery and SQL and applied Python/PySpark for forecasting, performance analysis, and growth planning workflows across campaign and product analytics use cases.
Focus areas: Business Intelligence, BI Dashboards, Growth Analytics, Marketing Analytics, KPI Dashboards, Cohort Analytics, Conversion Analytics, Payback Analysis, Segmentation, Behavioral Scoring, Snowflake, Airflow, BigQuery, SQL, Tableau, Experimentation, A/B Testing, Forecasting, PySpark, Performance Reporting

SQLMachine LearningTableauSnowflakeAirflowBigQuery+4

Juniper networks

Data Analyst - Customer Experience Analytics

Jan 2020 – Jun 2020 · 5 mos · Bengaluru, Karnataka, India · On-site

I supported customer experience analytics and retention analysis by working on customer satisfaction data, churn-risk indicators, and feedback trend reporting.
Analyzed customer experience datasets using SQL and Python to support NPS analytics, CSAT reporting, churn-risk analysis, and customer health trend monitoring.
Built repeatable analysis workflows for customer feedback segmentation, trend analysis, and issue pattern identification.
Partnered with PMs and engineering to translate customer analytics findings into retention and service improvement recommendations.
Focus areas: Customer Experience Analytics, Customer Insights, NPS Analytics, CSAT Analytics, Churn Analysis, Retention Analytics, Feedback Analysis, SQL, Python, Trend Analysis

SQLPythonTableauCustomer Experience Analytics

Poly products

Data Analyst - Product & Customer Analytics

Jul 2018 – Dec 2019 · 1 yr 5 mos · Delhi, India

I supported product analytics and customer analytics by building dashboard reporting and recurring metric views for product usage, customer feedback, and adoption tracking.
Built Tableau dashboards and SQL reporting views for product usage analytics, customer feedback analytics, and product performance monitoring.
Standardized recurring reporting metrics and dashboard views to improve consistency in stakeholder reporting and product review workflows.
Analyzed product adoption and customer feedback trends to support product prioritization, reporting needs, and feature planning discussions.
Focus areas: Product Analytics, Customer Analytics, Product Usage Analytics, Customer Feedback Analytics, Adoption Analytics, Dashboard Reporting, Tableau, SQL, KPI Reporting, Reporting Automation

SQLPythonTableauProduct Analytics