DATA ANALYST (SUBSCRIPTIONS&PRICING) ID33722

80.000.000
Agileengine


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 DODeveloping 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 HAVESCollege 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 HAVESPrevious work experience with subscriptions and promotional offers data analysis is a plus.THE BENEFITS OF JOINING USProfessional 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. #J-18808-Ljbffr

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