Data Analyst Supporting Big Data Projects SQL Python

Position Title: Data Analyst - Supporting Big Data Projects - SQL, Python (must) - Data Bricks (Nice Have) Location: Seattle, WA (Onsite) Job Type: Full-Time About The AES Group: The AES Group is a premier technology consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create a positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, and other emerging technologies. About the Role: This job contributes to our success by guiding business decisions through utilizing data analysis and consulting that results in predicting directional outcomes, understanding complex data relationships, and developing a quantitative return on investment. This position partners on a cross-functional team of innovation leaders supporting strategic initiatives that help shape and define the future. Key Responsibilities: Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data. Applies basic statistical concepts and descriptive statistics to understand and describe relationships in data. Builds predictive models and complex descriptive analytics, such as clustering and market basket analysis. Participates in discussions with business partners to define business questions and to consult. Creates impactful visual representations of analytic insights and concise summaries of methodology geared to audience needs; presents selected portions to stakeholders. Provides analytic support (code documentation, data transformations, algorithms, etc.) to implement analytic insights and recommendations into business processes (e.g., automation of process to level up Lab analytics). Contributes to analytic project proposals. Promotes and advocates for the value of analytics and data among peers. Provides knowledge share and mentorship to team in databases, tools, access, data prep techniques. Qualifications: Minimum of 1 year of experience within the data analysis field or discipline. Experience with content management systems. Familiarity with putting together process documents for finance team activities and job aids. Familiarity with project management principles. High Level Knowledge of regulatory compliance in the finance sector is Nice to Have. Microsoft Office tooling. Exposure and business-applicable experience in several data ETL (SQL, Python, DataBricks, Java, Ruby, Pig, Teradata, Oracle). SQL and Python are priority, Data Bricks preferred. Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities. Exposure and business-applicable experience in several Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.). Preferred Skills: Retail, customer loyalty, and eCommerce experience, preferred. Data Bricks experience. Larger data sets experience. Supply chain or UX background. Innovation and supply chain experience preferred. Smart sheets. What we offer: Competitive pay with a focus on your performance and outcomes. Professional growth opportunities that enable you to connect and collaborate with industry leaders and drive business value for some of the world's most innovative and forward-thinking companies. Open and collaborative environment where your contributions help shape The AES Group into something that works for you, not just a company you happen to work for. #J-18808-Ljbffr

Created: 2025-03-05