Skills Required: This position requires three (3) years of experience with the following: Wrangling, cleaning, organizing, aggregating, transformation and enriching large and unstructured data; Designing and developing interactive Excel or PPT reports with advanced functions including VLOOKUP, index match, data analysis add-ons, pivots, VBA, and VBScript; Executing data quality and validation checks and delivering analytical reports aligned with business objectives; Translating technical concepts to product managers, user design researchers, and software engineers, and perform descriptive and inferential statistical analysis on large datasets; Performing data manipulation, data structuring, data design flow, query optimization, CTE, Windows functions, and automating and optimizing business processes using SQL and Python; Performing data extraction and transformation, analyzing datasets, and building data pipelines using relational databases such AWS Redshift, Oracle, or Snowflake; Providing analytical solutions, designing data pipelines, and delivering summarized reports within consumer financial services. QUALIFICATIONS: Minimum education and experience required: Bachelor's degree in Computer Engineering, Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Information Systems or related field of study plus 5 years of experience in the job offered or as Quant Analytics, Business Intelligence Engineer, Automation Test Analyst, Technology Analyst, or related occupation.