Founded in 2010, Rockbot empowers businesses to maximize their in-location experience through media. Offering Music, TV, and Digital Signage through an acclaimed single platform solution, Rockbot enables the world's largest companies, and thousands of SMBs, to deliver the best in-location customer experience, simpler.

The Data Analyst is responsible for providing data analysis, delivering meaningful insights, and making strategic recommendations across multiple subscription product lines, including advertising. This role will join forces with cross-functional teams across the company and help define and track business KPIs.

The ideal candidate will be a critical thinker, a competent problem solver, and brings a strong analytical mindset. They must be highly motivated, passionate, organized, and can operate effectively in independent and collaborative teams. Must have a deep understanding of SaaS-based subscription services and a willingness to work towards creative solutions to complex problems in a timely manner. It is a unique opportunity to be part of a growing Data Team at Rockbot.

The Rockbot team is committed to creating uniquely curated brand opportunities by changing the way content is experienced in businesses of every size and shape. We are technologists, music lovers, and content creators all focused on producing the most amazing customer experience possible - and we're having a great time doing it! If this sounds compelling, let's talk.

We're on a rocketship and expanding our business rapidly - reach out to jump aboard!

You Will:

• Collect, clean, and prepare data from various sources to conduct a deep analysis
• Benchmark and track progress against key operational performance goals and initiatives.
• Create reports, dashboards, and visualizations that effectively communicate data insights to internal stakeholders, including executives, product teams, and cross-functional teams.
• Integrate business intelligence tools into Rockbot's data stack that includes systems such as Salesforce CRM, Netsuite, Google BigQuery etc.
• Conduct data mining, regression and quantitative analysis while maintaining data documentation for both internal and external consumption.
• Ensure data accuracy, integrity, and compliance with relevant data protection and privacy regulations.
• Lead the business review process including executive level presentations that include key opportunities and recommendations

You Have:

• Bachelor's degree with a background in Math, Economics, Computer Science, Statistics, or other quantitative fields;
• 4 - 5 years experience in data analytics and reporting
• Expertise in pulling large and complex data using SQL, database management, writing data pipelines and knowledge of data modeling.
• Knowledge of Excel & Google sheet and hands-on experience in SQL
• Working proficiency in Business Intelligence tools, e.g., Tableau, Power BI, Looker, Domo etc.
• A deep understanding of data science programming languages (e.g., Python, R)
• Ambiguity; able to thrive with minimal oversight and process, while keeping leadership informed on progress against deadlines
• Strong communication, presentation & documentation skills