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Sr. Technical Data Analyst (U.S.)
PulsePointUnited States, United StatesRemotefull_timeVerifiedPosted 22 Apr 2026
💰 $120,000/yr($110,000/yr – $120,000/yr)
About the role
Position Title
Job Title: Sr. Technical Data Analyst
Description
There's likely a reason you've taken the time out of your busy day to review this opportunity at PulsePoint. Maybe you're in need of a change or there's “an itch you're looking to scratch.” Whatever the reason, ask yourself the following questions:
- Do you want to work for a company that helps you navigate your career and invests in your development?
If you answered yes to the above questions, you are in luck… PulsePoint is hiring!
Description
There's likely a reason you've taken the time out of your busy day to review this opportunity at PulsePoint. Maybe you're in need of a change or there's “an itch you're looking to scratch.” Whatever the reason, ask yourself the following questions:
- Do you want to work for a company that helps you navigate your career and invests in your development?
If you answered yes to the above questions, you are in luck… PulsePoint is hiring!
Position Overview
With growing demand for granular data in our platform this role will try to get ahead of client demands by keeping cloud/AI usage costs in check and project capacity under multiple scenarios. It will sit at the intersection of engineering/planning and vendor strategy and use historical patterns - query volume/client consumption and platform activity to anticipate growth and demand before it becomes a bottleneck, as well as identify waste and potential improvement opportunities in existing flows.
Responsibilities
- Model client growth trajectories and translate them into infrastructure/capacity scaling scenarios
- Monitor API/AI agent usage across platform new initiatives (internal/external dataset usage patterns, flush out future client needs, assist in dataset knowledgebase creation)
- Monitor and optimize query performance across Trino, Spark SQL, and BigQuery; track query cost trends over time
- Own product analytics reporting — usage, utilization, and growth
- Track and reconcile usage across AWS, GCP, and AI/ML tooling; flag anomalies and cost overruns
- Partner with engineering and product on DB scaling decisions driven by client demand
- Maintain documentation on query optimization wins, capacity thresholds, and vendor contract utilization
Qualifications
- 3-5+ years in a data/analytics, capacity planning, or BI role
- Bachelor's degree in Computer Science, Analytics, Statistics or related field
- Experience working cross-functionally with Engineering, Product, Finance and Sales teams
Preferred skills:
- Hands-on experience with GCP (BigQuery, GCP Billing console, cost monitoring)
- Strong SQL skills required; experience with Trino and/or BigQuery required
- Tableau or Looker for self-serve dashboards and operational reporting: BI Tools
- Ability to independently scope and execute analytical work end-to-end
- Strong communication skills — able to translate technical findin
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