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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. 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.

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 Collaborate 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 Provide 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 Act 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 product areas and communicate findings with leadership and product teams to quickly turn insights into actions Ability to effectively communicate complex analytical results or issues to internal and/or external stakeholders Experience with online ads or mobile marketing Expertise in data analytics and visualization and experimentation Expertise in SQL; experience with Python or R Experience with data warehouses and big data technologies such as Looker Studio, Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT Understanding the importance of delivering value to our clients, not just completing tasks to specs Excellent communication skills, both written and verbal to both technical and non‐technical partners Ability to speak to measurable impacts you have made with insights derived from you and your team Ability to think creatively and critically and thrive in a fast‐paced, dynamic, and often ambiguous work environment Experience experimenting with AI tools in your personal or professional life — or an eagerness to learn! Work Location & Travel Requirements Airship's 'Digital First' approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones.

Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely. This position is fully remote and may require up to 10% travel based on business needs or as requested by your manager. Compensation The starting base pay range for this position is: $108,000 - $135,000 USD per year .

Base pay is part of your total compensation package and is dependent on multiple factors, including: relevant skills, work experience, business priorities, market demands, and location. All offers include stock options so employees have the opportunity to benefit from Airship's success. Competitive medical, dental, and vision insurance options for you and your dependents Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off Support for your overall wellbeing with mental health and wellness resources Employer‐subsidized life insurance as well as short‐term and long‐term disability A digital‐first work environment and a monthly stipend to support remote work Mentorship and growth opportunities to build skills and accelerate professional development And more!

California residents can view the CCPA disclosure notice here . Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with "@airship.com". By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge.

I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal. Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable. #J-18808-Ljbffr