Senior Business Intelligence Analyst

$133,000 - $153,000/Yr

Octave - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Ambulatory Health Care Services

About the position

The Senior Business Intelligence Analyst at Octave plays a crucial role in enhancing the company's data-driven decision-making processes. This position involves collaborating with various department leaders to understand their reporting needs and developing actionable insights through analytics. The analyst will be responsible for creating and maintaining dashboards, teaching stakeholders how to utilize these tools effectively, and driving growth and innovation through data analysis.

Responsibilities

• Partner closely with cross-functional teams, including product managers, analysts, engineers, and business stakeholders, to identify key business problems and develop analytic solutions that drive growth and innovation.
• Communicate sophisticated analyses and results to a wide array of business partners with varying levels of technical expertise.
• Create and maintain operational dashboards in Tableau to understand company performance over time and enable partners with self-serve tools.
• Develop efficient and scalable end-to-end workflows and identify opportunities to improve existing processes.
• Translate business operations and processes into scalable data and reporting.

Requirements

• Minimum 4 years experience in business intelligence or analytics (or related role).
• Minimum 4 years developing reports and dashboards for different audiences.
• Minimum 4 years of SQL fluency.
• Minimum 2 years creating and analyzing the results of A/B experiments.
• Minimum 2 years experience using a programming language (Python, R, etc.).
• 2+ years supporting performance marketing functions with experience building and maintaining marketing specific models/analyses (attribution, LTV, churn, etc.).
• 4+ years working in analytics/data science preferably with experience at a startup.
• 4+ years hands-on technical analysis work with SQL experience performing complex data transformations.
• Experience manipulating large data sets and uncovering insights utilizing disparate data sources and tools.
• 2+ years coding in analytical programming languages (Python, R, SAS, etc.).
• Strong analytical skills with the ability to apply business strategy to data analysis and recommendations.
• Expert in data visualization (Tableau/Looker/etc.).
• Strong communication skills. Ability to tell a story with data and explain the nuance to stakeholders.
• Ability to think strategically (interfacing with senior leaders), while also enjoying being hands-on with the data.
• A knack for asking the right questions, then answering them with sound data and analysis.

Nice-to-haves

• Experience with dbt/git/aws is a plus.

Benefits

• Company sponsored life insurance, disability and AD&D plans.
• Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options.
• Generous Paid Time Off and paid parental leave benefits.