Senior Data Analyst responsible for developing business analyses, automating reporting, and providing decision support using large datasets. Requires strong SQL skills and 4-6 years of analytical experience.
106k – 125k/yr
Remote4+ YOEData Analytics
About the role
Responsibilities
Own and scale performance and revenue reporting tools for internal customers to drive data-informed decisions
Lead automation and optimization of Finance data pipelines and reporting processes
Deliver impactful ad-hoc analysis and reporting to support teams across the company
Develop, lead, and execute deep dive quantitative analyses that translates data into actionable insights
Provide analytical and decision-making support for key company initiatives
Present analysis and share findings with both technical and non-technical stakeholders
Requirements
4-6 years of analytical work experience, preferably within a business intelligence, corporate finance or strategic planning role
Experience working with large data sets
Bachelor’s degree in a quantitative field (such as Mathematics, Statistics, Finance, Economics)
Superior analytical abilities and the ability to form key, succinct insights and recommendations from analyses involving large amounts of complex data
Prior experience with relational database systems; strong SQL skills required
Strong quantitative skills and proficiency with MS Office and Google suite of applications
Outstanding written and verbal communication skills
Ability to interface with and effectively present to multiple levels of management
Extremely proactive with a strong bias for action; naturally inquisitive; desire to continuously improve current business practices/processes
Organized, detail-oriented, and ability to multi-task
Nice-to-Haves
Master’s degree in a quantitative field
Previous experience with Google BigQuery
Prior experience with scripting languages (such as Python)
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