Data Analytics Manager

About Airship

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.

To learn more about us, visit www.airship.com, read our blog or follow us on LinkedIn.

About Gummicube, an Airship Company

Gummicube develops powerful app discovery technology, enabling anybody with an app to quickly optimize for the most organic search visibility. Gummicube's DATACUBE software leverages proprietary big data for mobile to understand App Store search trends and the competitive landscape. Using DATACUBE, mobile search data and user behavior is no longer a black box -- resulting in greater visibility, more high-quality organic downloads and a lower overall cost of user acquisition.

Together, Gummicube and Airship enable brands, marketers, product owners and developers to optimize their entire mobile app experience — from the point of discovery to loyalty.

To learn more about Gummicube, visit www.gummicube.com. 

About the Role

We are looking for a Data Analytics Manager to join our growing Data Analytics team. Gummicube works with top brands around the world, helping optimize search and mobile growth for their apps in the App Store and Google Play.   As part of the Data team, you will have the opportunity to impact the success of some of the biggest brands in the Google Play and Apple App Store. 

What You'll Do

• Prioritize and manage team tasks/deliverables to hit company goals and align with company vision
• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
• Define and implement consistent measurement standards and reporting process, leveraging data to inform business decisions, and make recommendations for improvement
• Build and maintain strong relationships with key stakeholders, identifying business needs and carrying out necessary processes and practices to monitor progress and results
• Collaborates with others to support use of visualization reporting tools to provide more effective decision-making and accountability at the service line level
• Support relationships with key stakeholders to deliver solutions include resolving issues, answering questions, obtaining information, and providing documentation
• Serve as the analytics subject matter expert, providing clear, data-driven insights and recommendations in a consistent format
• Provides recommendations to business stakeholders to solve complex business issues through data
• Contribute to strategic discussions, collaborating with the BD team to develop innovative product positioning approaches
• Stay updated on ASO trends, ensuring the insights provided remain cutting-edge and align with client needs
• Define key metrics for assessing the impact of ASO performance offerings on potential clients
• Interpret data, analyze results, provide and improve ongoing reports on Looker
• Develop and implement Big Query tables and Looker reports for internal and external use
• Acts as a liaison to support business planning, implementation, validation and scalability of current data warehousing
• Provide mentorship and support in hiring, training, and retaining a high-performing analytics team

What We're Looking For

• 2+ years of experience leading a team of analysts in a fast-paced environment
• 5+ years of experience manipulating large complex data sets, doing quantitative analysis, statistical modeling and visualization
• Expert regarding best practices around data manipulation, building data pipelines, feature engineering and creating dashboards
• Ability to lead initiatives across multiple pro