AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions. If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :) WHAT YOU WILL DO Developing analytical and reporting database tables to facilitate subscription and promotional offers performance tracking through efficient querying of large databases. Produce reports and Tableau dashboards summarizing pertinent metrics and equipping various stakeholders with information for decision-making. Apply quantitative analysis on complex data to support the Insights team in efforts to understand customer behavior and impact of promotional offers. Ensure data accuracy through conscientious data collection and monitoring, development and execution of quality control processes, investigation and resolution of anomalies. Respond to a wide variety of ad hoc requests from Finance, Marketing, Distribution, Product, etc. Work closely with other members of the Insights & Analytics team to incorporate marketing and content data, creating a holistic understanding of customers and how they interact with our products. MUST HAVE College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent work experience. 1+ years of professional experience in an analytics role. Demonstrated proficiency in SQL through a SQL test, hands-on experience with CTEs, window functions, and date & time functions preferred. Experience with business intelligence tools like Tableau, Power BI, Microstrategy, etc. Familiarity with database models, experience working with unstructured data, and experience loading large datasets into databases. Skilled at transforming raw data into actionable columnar datasets. Basic knowledge of statistics and/or machine learning. Knowledgeable about (at least some of) Python, Snowflake, AWS/S3, SageMaker, R, Microsoft Office, Google Workspace. Good oral and written communication skills, including explaining the business implications of data analysis/reports and developing visualizations. Excellent problem-solving skills. Upper-Intermediate English level. NICE TO HAVES Previous work experience with subscriptions and promotional offers data analysis is a plus. THE BENEFITS OF JOINING US Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive. NEXT STEPS AFTER YOU APPLY The next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod, which will guide you through the process. #J-18808-Ljbffr