Hybrid Senior Data Analyst – Business Intelligence

Posted 1 minute ago

Apply now

About the role

  • Transform complex datasets into actionable insights
  • Build and maintain analytics infrastructure
  • Partner with cross-functional teams to drive data-informed decision-making and product improvements
  • Own the end-to-end analytics lifecycle—from data modeling and dashboard creation to experimentation and KPI development
  • Ensure stakeholders have timely, accurate information to optimize operations and enhance customer experiences

Requirements

  • Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Business Analytics)
  • 4+ years of experience in a data analysis or business intelligence role
  • Proficiency in SQL, Python, Scala, Pyspark, and other data analyst languages and standards for data querying and manipulation
  • Experience working in a collaborative coding environment (e.g., GitHub)
  • Experience with data science, analysis, and visualization tools (e.g., Databricks, Looker, Spark, Power BI, plotly)
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to communicate insights clearly and concisely to a variety of stakeholders
  • Understanding of data lakes and data warehousing concepts and experience with data pipelines
  • Knowledge of business systems is a plus (e.g., CRMs, demand gen tools, etc.)

Benefits

  • Parental leave
  • Diversity and inclusion working groups
  • Flexible working practices

Job title

Senior Data Analyst – Business Intelligence

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job