Data Analyst

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$/yr - $/yr

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 , read our blog or follow us on Linked In.

You are an experienced data analyst with a track record of extracting insights and actionable information from structured data. You have built dashboards for daily review, summarized results for executive stakeholders, and explained nuanced findings for non-technical audiences. You work with diverse teams who come to you with half-formed problems to refine their needs into answerable questions, answer those questions, and work with them until they understand the implications.

• Build dashboards using business intelligence software on large relational databases, both customer-facing and for internal customers
• Develop, support, and optimize semantic data layers used for self-service reporting
• Perform ad-hoc analyses for stakeholders on a variety of teams, including product, marketing, and engineering
• Use LookML to describe dimensions, aggregates, calculations and data relationships in a SQL database
• Collaborate with product and engineering to ensure that the requisite data is being collected to answer questions, drive business decisions, and inform the market
• Inform schema design and ETL process decision making
• Improve the end user's experience through documentation, webinars, and hands‑on training
• Support administration of our business intelligence software
• Investigate data integrity issues and propose solutions

• 3+ year of data analysis or analytics experience
• Demonstrated experience in querying large data sets and relational databases (SQL)
• Understanding of the concepts of conditional logic and language syntax of programming languages
• Experience with web-based business intelligence tools such as Looker, Tableau, Chartio, or similar
• Strong communication skills
• Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn!

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.

Airship's compensation is determined by a variety of factors including market data, business needs, and geography. 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. The starting base pay range for this position is $100,000 - $120,000 USD per…