At AgileEngine, we're one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. Our mission is to create award-winning custom software solutions that positively impact millions of people across various industries. Job Overview We're seeking an Analytics professional to join our team where you'll be challenged to learn and experiment every day, working alongside talented individuals who share your passion for data-driven insights. Key Responsibilities 1. Data Analysis: Develop analytical database tables to track subscription and promotional offers performance through efficient querying of large databases; 2. Reporting: Produce reports and Tableau dashboards summarizing key metrics to inform stakeholders' decision-making; 3. Quantitative Analysis: Apply complex data analysis to support the Insights team in understanding customer behavior and offer impact; 4. Data Quality: Ensure accuracy through diligent data collection, monitoring, and quality control processes; 5. Ad Hoc Requests: Respond to various requests from Finance, Marketing, Distribution, Product, etc.; 6. Team Collaboration: Work closely with the Insights & Analytics team to incorporate marketing and content data, providing a comprehensive understanding of customers. Requirements MUST HAVES 1. Educational Background: College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent work experience; 2. Professional Experience: 4+ years of experience in an Analytics role; 3. SQL Proficiency: Demonstrated proficiency in SQL through a SQL test, with hands-on experience in CTEs, window functions, and date/time functions preferred; 4. Business Intelligence Tools: Experience with tools like Tableau, Power BI, Microstrategy, etc.; 5. Database Models: Familiarity with database models and experience working with unstructured data; 6. Data Transformation: Skilled at transforming raw data into actionable columnar datasets; 7. Statistics/Machine Learning: Basic knowledge of statistics and/or machine learning; 8. Technical Skills: Knowledgeable about Python, Snowflake, AWS/S3, SageMaker, R, Microsoft Office, Google Workspace; 9. Communication: Good oral and written communication skills to explain data analysis implications and develop visualizations; 10. Problem-Solving: Excellent problem-solving skills; 11. Language: Upper-Intermediate English level. NICE TO HAVES 1. Subscription/Promotional Offers Experience: Previous work experience with subscriptions and promotional offers data analysis is beneficial. Benefits 1. Professional Growth: Accelerate your career with mentorship, TechTalks, and personalized growth roadmaps; 2. Competitive Compensation: We match your skills, talent, and contributions with competitive USD-based compensation and education budgets; 3. Exciting Projects: Join projects with modern solution development and top-tier clients, including Fortune 500 enterprises and leading product brands; 4. Flextime: Enjoy flexible scheduling for optimal work-life balance, with options to work from home or the office.