Data Analyst: Insights & BI (Mid-Level, Looker)

Tillster

San Diego (CA)

Vor Ort

USD 90.000 - 130.000

Vollzeit

vor 6 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health benefits
Paid holidays
PTO and vacation days
401(k)

Zusammenfassung

Tillster is seeking a Mid-Level Data Analyst to drive analytics across multiple business areas. You will own end-to-end analyses, from scoping to presentation, while collaborating with Marketing, Product, Finance, and Account Management to interpret outputs and surface insights.

This role emphasizes proactive identification of trends and data-driven recommendations, with growing autonomy in experimental work.

Qualifikationen

  • Bachelor's degree or equivalent in a quantitative field.
  • 2–4 years of data analytics or BI experience.
  • Strong SQL with window functions and CTEs.
  • 2+ years in Looker/LookML development.
  • Experience with AWS or Google Cloud data warehouses (Redshift/BigQuery).
  • Proven ability to build dashboards for non-technical users.
  • Knowledge of Git, PR reviews and code style guides.
  • Familiarity with agile processes.

Aufgaben

  • Deliver end-to-end analytics for assigned business areas and present findings to stakeholders.
  • Support ad-hoc analyses for Marketing, Product, Finance, and Account Management with interpretation of outputs.
  • Identify trends and anomalies and surface insights proactively.
  • Assist with A/B test experiments, building toward independent design.

Kenntnisse

SQL
Looker
LookML
Python
Data viz
Stakeholder comms

Ausbildung

BA/BS in quantitative field

Tools

BigQuery
Redshift
Excel

Jobbeschreibung

Tillster is seeking a Mid-Level Data Analyst to drive analytics across multiple business areas. You will own end-to-end analyses, from scoping to presentation, while collaborating with Marketing, Product, Finance, and Account Management to interpret outputs and surface insights.

This role emphasizes proactive identification of trends and data-driven recommendations, with growing autonomy in experimental work.

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