- "your margin is my opportunity" - bezos
- I applied for the Senior Data Analyst position last month! Was wondering if there's been any follow up on my application
- I think the links are down :(
- Location: Remote / Bay Area (US citizen)
Remote: Open to remote, prefer in-person
Willing to relocate: anywhere in the Bay Area
Technologies: SQL, Python, Jupyter, Bash, ETL design, Snowflake, Aurora, Airflow (equivalent orchestration), Excel automation, Tableau, Looker, Power BI, dashboard QA, AWS (Aurora, S3)
Resume: can send via email
Email: yaminisdasu@gmail.com
Role: Data Analyst / Product Data Scientist / Analytics Engineer
Experience: 4+ years
Data Analyst with 4+ years of experience translating data into product and business impact. I've built end-to-end analytics workflows at Nevro and Qualcomm — from SQL/Python pipelines to stakeholder-facing dashboards and KPI frameworks. I specialize in experimentation, A/B testing, data visualization, and making messy data useful for product and growth teams. Looking for in-person (in the Bay Area) or remote-friendly roles in product analytics, data science, or analytics engineering where I can work cross-functionally and ship insights that move the needle.
- Just applied to this!
I have a lot of experience (5 years) building and optimizing data pipelines from diverse sources using Python, SQL, Snowflake, and AWS Aurora that supported compliance and performance monitoring. I'm an SF native, and can start immediately.
- Just applied to this!
I have a lot of experience (5 years) building and optimizing data pipelines from diverse sources using Python, SQL, Snowflake, and AWS Aurora that supported compliance and performance monitoring. I live in San Francisco and can start immediately.
- Just applied to this!
I have a lot of experience (5 years) building and optimizing data pipelines from diverse sources using Python, SQL, Snowflake, and AWS Aurora that supported compliance and performance monitoring. I'm an SF native, and can start immediately.
- Just applied to this!
I have a lot of experience (5 years) building and optimizing data pipelines from diverse sources using Python, SQL, Snowflake, and AWS Aurora that supported compliance and performance monitoring.
I've implemented schema-drift detection, null tracking, reconciliation layers, and metric QA. I've built automated QA layers in Python and SQL, and have ample experience aligning with Product, QA, compliance, and analytics teams on metric definitions and data products.
Please let me know if I'm a good fit!
- Hello!
I saw the position for the GTM Data Analyst, and think I'm a good fit. I have 4+ years of relevant experience (Python, SQL, Tableau, Snowflake) building data pipelines and dashboards for healthcare and semiconductor companies. I also live in San Francisco about half a mile away from CloudTrucks HQ, and don't require any sponsorship.
Would love to chat about the role!
- Location: Remote / Bay Area (US citizen) Resume: can send via email
Email: yaminisdasu@gmail.com
Role: Data Analyst / Product Data Scientist / Analytics Engineer
Experience: 4+ years
Data Analyst with 4+ years of experience translating data into product and business impact. I've built end-to-end analytics workflows at Nevro and Qualcomm — from SQL/Python pipelines to stakeholder-facing dashboards and KPI frameworks. I specialize in experimentation, A/B testing, data visualization, and making messy data useful for product and growth teams. Looking for in-person (in the Bay Area) or remote-friendly roles in product analytics, data science, or analytics engineering where I can work cross-functionally and ship insights that move the needle.
- Location: Remote / Bay Area (US citizen)
Resume: can send via email
Email: yaminisdasu@gmail.com
Role: Data Analyst / Product Data Scientist / Analytics Engineer
Experience: 4+ years
Data Analyst with 4+ years of experience translating data into product and business impact. I've built end-to-end analytics workflows at Nevro and Qualcomm — from SQL/Python pipelines to stakeholder-facing dashboards and KPI frameworks. I specialize in experimentation, A/B testing, data visualization, and making messy data useful for product and growth teams. Looking for in-person (in the Bay Area) or remote-friendly roles in product analytics, data science, or analytics engineering where I can work cross-functionally and ship insights that move the needle.
It's crazy how wrong Chomsky was about machine learning. Maybe the real truth is that humans are stochastic parrots who have an underlying probability distribution - and because gradient descent is so good at reproducing probability distributions - LLMs are incredibly good at reproducing language.