Technical Data Analyst

This role sits at the convergence of product management, BI, and analytics engineering. You'll

own dashboards end-to-end - scoping the business needs with stakeholders, collaborating on

the underlying data models, and building and shipping the final dashboard.

You'll bridge the gap between high-level data vision and tactical execution, turning complex

datasets into product capabilities that drive growth. You don't need to be a data engineer, but

you will own the end-to-end data product lifecycle - partnering closely with Data Engineering

and Design to ship data products that stakeholders find indispensable.

This is a foundational role on a brand-new team, giving you a rare opportunity to help define

how we build, measure, and trust data from the ground up. Strong dashboard-building instincts

and a sharp eye for the right metrics are core here - what you establish in your first year will

shape the team's standards.

Core Responsibilities:

• Break down stakeholder requests into clear requirements, translating them into KPIs and

dashboards - this will require learning the underlying product and business context

• Build new dashboards from scratch, and iterate on them as stakeholder needs evolve

and the data program matures

• Coordinate with developers on row-level security and embedding

• Identify data gaps and translate them into clear technical requirements for data

engineers

• Analyze data and dashboard usage to promote data-backed decision-making, both

internally and for our customers

• Understand data sources, data models, and data pipelines, and help uphold proper data

3+ years in analytics, business intelligence, data-focused product work, or a similar technical role

o Strong SQL skills

o Hands-on experience building dashboards, reports, and KPIs in a modern BI tool

o Experience creating new reporting capabilities from scratch

o Understanding of data models, schemas, and pipelines

o Excellent stakeholder-management and communication skills

o Ability to translate business questions into clear metrics and reporting requirements o Snowflake, dbt, data marts, or MongoDB

o Sigma Computing, Looker, or similar self-service BI tools

o Python or experience building lightweight data pipelines

o Marketing or product analytics

o Experience working in a fast-moving SaaS environment