Movable Ink is a software company that provides marketers with technology and expert services to create unique customer experiences. Founded in 2010, Movable Ink pioneered contextual experiences in email and has powered over 1.5 trillion content impressions worldwide. More than 700 of the world’s most innovative brands rely on Movable Ink to create unique, relevant, and compelling visual experiences across email and web at the moment of engagement.

We are looking for a Data Analyst (AI/ML) who will work with our Data Scientists, Product and Engineering teams to create artificial intelligence based recommendations and insights extracted from modeling and analysis of very large sets including Movable Ink’s historical data. The ideal candidate is an expert at using large datasets of various kinds. This data may include images, text and hypertext to find opportunities for client decision making, computer vision, and natural language processing. This candidate should have a passion for discovering solutions hidden in large data sets and working with stakeholders to create value for our clients.

This role will be reporting to the Senior Data Scientist.

Responsibilities:

• Mine and analyze data from our data warehouse to drive improvements in product development, marketing campaigns, and business strategies
• Design and development of insights and reports based on customer and market datasets
• Identify patterns and trends in datasets by collaborating with various stakeholders throughout the organization to understand opportunities for leveraging domain knowledge and data to create new features in our reporting and AI products
• Collaborating with various stakeholders and engineers to develop a data dictionary and schema for product development use cases
• Assess the quality, accuracy, and effectiveness of developed data tables, views, and schemas being developed within the data warehouse. Recommend new data sources and data gathering techniques when necessary
• Run SQL queries to conduct data profiling and interpret data
• Determining the best data visualization techniques based on user requirements, data dependencies, and tool set capabilities
• Develop processes and tools to monitor and analyze data accuracy

Qualifications:

• 2+ years of data analytics experience, including with business intelligence platforms and data warehouse solutions
• Advanced proficiency in SQL, proficiency in Python and Excel, and ability and willingness to learn new systems
• Experience with data visualization tools such as ggplot2/seaborn, Tableau, Looker, and D3
• Strong cross-functional collaboration, project management, and communication skills
• Able to effectively and efficiently translate operational and “big picture” understanding into metrics-driven thinking; aka a Data Storyteller
• Excellent attention to detail, including ability to identify, dig into, and remedy errors
• Strong understanding of experimental design and analysis (randomized control trials, A/B Testing, optimization) as well as statistical modeling (generalized approaches to regression, dimensionality analysis and reduction, data transformation, standardization) 
• Experience working at a tech product or SaaS company is a plus