Data AnalystAmpcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented team.
Location: Culver City, CA.Job Details:Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made Client Earth's most customer-centric company. This would not be possible without the tools and expertise we use to understand customer behavior.The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior necessary to guide the evolution of business strategy.At client, understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets.
As a Senior Business Intelligence Engineer with Prime, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers.You will meet with business owners to formulate key questions, leverage vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable.If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity working with one of the world's largest datasets.We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.Key Responsibilities:Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retentionStatistical testing of A/B and multivariate experimentsDesign, build and maintain metrics and reports on program healthRespond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysisEmploy data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer baseParticipate in strategic and tactical planning discussionsTop Skill Set:Technical experience SQL/AWS – 5yrsWorking with large-scale complex data sets – 5yrsExperience building data visualization (Tableau, QuickSight, or similar) – 5yrsRequired Skills/Exp:Experience working with large-scale complex datasetsStrong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questionsStrong working knowledge of SQLBackground (academic or professional) in statistics, programming, and marketingPreferred Skills/Exp:Ex- company is bonus? --- BIG BONUS (especially if previously worked as BIE)Past industry preference?
--- N/AJob Qualifications:7 years of experience working with large-scale complex datasetsStrong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questionsStrong working knowledge of SQLBackground (academic or professional) in statistics, programming, and marketingSAS experience a plusGraduate degree in math/statistics, computer science or related field, or marketing is highly desirable.Excellent communication skills, equally adept at working with engineers as well as business leadersDegree or Certification:Bachelor's degree required / (Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable)Advanced Technical Knowledge of:SQLAWSTableauYears of Experience:5-7 years.SAS experience a plusExcellent communication skills, equally adept at working with engineers as well as business leadersAmpcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.