Remote Senior Business Intelligence Analyst

Description:

• The Senior Business Intelligence Analyst will work closely with department leaders to understand reporting needs and develop plans to empower stakeholders with necessary metrics and insights.
• This role involves implementing and teaching stakeholders how to utilize their dashboards effectively.
• The analyst will be dedicated to the Product team and will join a small, growing team.
• Responsibilities include partnering with cross-functional teams to identify key business problems and develop analytic solutions that drive growth and innovation.
• The analyst will communicate complex analyses and results to a diverse range of business partners with varying technical expertise.
• The role requires creating and maintaining operational dashboards in Tableau to track company performance over time and enable self-service tools for partners.
• The analyst will develop efficient and scalable workflows and identify opportunities to improve existing processes.
• Translating business operations and processes into scalable data and reporting is also a key responsibility.

Requirements:

• A minimum of 4 years of experience in business intelligence or analytics (or a related role) is required.
• Candidates must have at least 4 years of experience developing reports and dashboards for different audiences.
• Fluency in SQL for a minimum of 4 years is necessary.
• At least 2 years of experience creating and analyzing the results of A/B experiments is required.
• A minimum of 2 years of experience using a programming language (such as Python or R) is needed.
• Candidates should have 2+ years of experience supporting performance marketing functions, including building and maintaining marketing-specific models/analyses (like attribution, LTV, churn, etc.).
• A minimum of 4 years of experience working in analytics/data science, preferably with experience at a startup, is required.
• Candidates must have 4+ years of hands-on technical analysis work with SQL, performing complex data transformations and manipulating large data sets.
• At least 2 years of coding experience in analytical programming languages (Python, R, SAS, etc.) is necessary.
• Strong analytical skills with the ability to apply business strategy to data analysis and recommendations are essential.
• Expertise in data visualization tools (Tableau/Looker/etc.) is required.
• Strong communication skills are necessary, with the ability to tell a story with data and explain nuances to stakeholders.
• Candidates should be able to think strategically while also enjoying hands-on data work.
• A knack for asking the right questions and answering them with sound data and analysis is important.
• Experience with dbt/git/aws is a plus.

Benefits:

• Octave offers a competitive salary range based on location and experience, with starting pay for qualified applicants depending on job-related factors.
• The expected salary range varies by zone, with additional eligibility for equity in the form of stock options.
• Benefits include company-sponsored life insurance, disability, and AD&D plans.
• Voluntary benefits such as 401k retirement plans, medical, dental, vision, FSA, HSA, dependent care, and commuter/parking options are available.
• Octave provides generous Paid Time Off and paid parental leave benefits.