Customer Data Platform Engineer

Overview Customer Data Platform Engineer — Chicago, IL (Remote) • 6+ month contract Responsibilities Design, Develop and Operate Full Stack Cloud Solutions and Services in an AWS Cloud Environment using a serverless-first and managed-service-first approach. Collaborate with Product Manager and business partners to understand the go-to-market process, customer lifecycle, and customer strategy, and how customer data and the data platform can enable success. Develop customer analyses and use data to identify solutions to challenging customer problems (e.g. causes of customer churn, attributes of high-value customers, etc.). Build dashboards in BI tools for “always-on” customer trend monitoring. Support the organization and business partners with the right source data, new data assets, and destination connections to drive internal reporting and/or marketing execution. Lead analysis and reporting projects from start to finish, defining the necessary data, building a proof of concept in Sandbox, and deploying a new or updated data assets or attributes. Identify and tackle issues concerning data management to improve data quality and availability. Implement new automated recurring workflows, including automated ingest of new data source and/or egress of data into a downstream system while ensuring they are monitored and maintained. Identify trends, opportunities that help drive and measure incremental growth. Build scalable methodology and tools to accelerate CDP adoption. Ensure compliance with data privacy requirements as it relates to data in the platform. Qualifications Minimum 5 years’ experience in a consulting, business analytics, or data science role. Understanding of and experience working with relational databases and ETL tools. Proficient in SQL, to build workflows, queries, and segments within the CDP. The ability to write SQL from scratch including multiple table joins, summarizing data using GROUP BY expressions and window functions is desired. Experience creating executive-level dashboards using visualization tools. Can translate business use-cases (e.g. reporting needs and/or marketing execution needs) into necessary technical requirements. Understanding internal data systems, architecture, and data structures patterns. Excellent organizational skills and ability to multi-task across multiple streams of work. Direct experience with experimentation design and A/B test measurement. Proactive, resilient, and resourceful when solving complex problems. Strong data analysis skills. Ability to dig into customer data and extract insights for stakeholders. Knowledge of Marketing Technology stack including data platforms. Understanding of Change Management processes and methodologies. Demonstrated ability to plan and execute repeatable analyses and recommend actionable strategy. Strong communicator who easily bridges the gap between data and business owners. Creative thinker, adept at imagining new business use cases and identifying the data necessary to make them a reality. BA/BS in Math, Computer Science, Economics, Statistics, or another quantitative field. Ability to develop predictive models using a ML framework such as MLlib, H20 or scikit-learn a distinct plus. Working with data in AWS Environments and Toolsets is a plus. Experience with the Amperity CDP is a strong plus. Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries Hospitality #J-18808-Ljbffr