Data Analyst

Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross‑channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more.

Airship’s no‑code, AI‑powered platform was designed with non‑technical, growth‑focused teams in mind, making it easy to create, test and orchestrate hyper‑personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships.

We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day.

Airship is recruiting for a Data Analyst to join our dynamic ASO Team. We work with top app developers around the world, and this role offers the opportunity to impact the success of some of the biggest brands in the Google Play Store and the Apple App Store! Successful candidates will have a huge impact on our business and can become key leaders on their teams.

• Lead cross‑functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
• Undertake data collection and implement business product solutions
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions
• Design and build technical processes to address business issues
• Identify, analyze, and interpret trends or patterns in complex data sets
• Perform data consolidation/data analysis and communicate findings in a clear manner to external clients
• Communicate directly with internal stakeholders as well as clients to translate business/data challenges into reports, insights, and analysis
• Create and maintain dashboards to track partner’s KPI in data visualization software (Data Studio, Power
  
  BI, Tableau)
• Develop and implement data collection systems, data analyses and new strategies to measure campaign performances
• Create documentation for various types of reports including methodologies, templates in Excel, slides, and/or sheets for training purposes
• Work closely with clients, programmers, and functional teams to design business intelligence and operational reporting solutions for decision making and compliance monitoring
• Research industry changes & provide insight on how to proceed with new processes
• Train, develop and assist on supervising analyst‑level employees
• Ad‑hoc special projects

• Strong understanding of client needs to deliver logical business conclusions
• Strong critical thinking skills and creativity regarding methodology to measure business success
• Proficient in managing and writing performant queries to a data warehouse/database (MySQL, Big Query)
• Experience with reporting, analyzing, and delivering data
• Highly proficient in Microsoft Excel, Google Workspace and Microsoft Power Point
• Proficient in generating reports in data visualization software (Data Studios, Power
  
  BI, Tableau)
• Excellent project management skills, ability to multitask and meet tight deadlines
• Proactive and effective communication for internal/external stakeholders
• Attention to detail and follow‑through
• Can think outside the box and improve on existing processes
• Ability to thrive with minimal direct supervision/management (Gummicube is a startup and everyone wears multiple hats)
• Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn!

• Experience with in the Mobile Industry
• Experience with App Store Optimization
• Interest in both iOS and Android apps and the mobile gaming space
• Experience running digital campaigns or working with UA data sets
• Passionate about data and willing to explore new and out of the box ways of approaching data sets and analyses.
• Understand in…