Job Description:

Pickaxe is looking for a talented and experienced data analyst who has technical skills for data interrogation, loves storytelling and knows that true insights aren’t just explaining the importance of data correlation but about what a customer can do with that information.

More specifically you will:

• Work closely with our clients over time to understand their pain points and help translate those into requirements for queries and models you can run against their data to provide them with actionable insight
• Design tables and views that provide our analyst customers with ongoing data in the most useful formats for them to take action 
• identify key insights that aren’t being tracked and predicted in our software platform and predicted and help broaden our coverage of what we analyze.
• Assist Dev and QA with making sure what we show our clients is impeccably accurate and easily understandable and passes the common sense test
• Collaborate with the design and development team to make adjustments to current models, presentation layers, and queries running in production

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Essentials:

• You’re proactive, entrepreneurial, and collaborative; you can work well with cross functional teams of Product/Dev/QA and clients, you can spot gaps, and can manage your own work stream
• You’ve got 8+ years of experience in data analysis, including defining KPIs for various businesses (subscription, ecommerce, publishers, apps, etc)
• You understand the realities of data collection and have strong familiarity with tools like Adobe Analytics/Omniture, Mixpanel, Heap, Amplitude, Google Analytics 360, GA4, Google Search Console, Billing systems, etc. You won’t use all those systems but you have to feel comfortable understanding how different data collection systems work and how you might match up data between multiple systems.
• Experience with database analysis required (SQL, R, Python, BigQuery, Snowflake, Airflow, etc)

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Requirements:

• Clear understanding of concepts and application of statistics, predictive analytics and machine learning, and an ability to explain these to our customers in easy to grasp ways that illustrate why they’re useful.
• Experience in business analytical you’ve reported on and evaluated site performance, marketing campaigns, programmatic media platforms, optimization tests, CRM, and social analytics
• Interest in using AI to solve business challenges, including Natural Language Processing, machine vision, and deep learning techniques