Job Description AgileEngine is one of the Inc. 5000 fastest-growing companies in the US 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 HAVES - College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent work experience; - 4+ 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. Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process. Good luck! We're rooting for you! Requirements - 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.