Knowledge BS with strong quantitative coursework (engineering, MIS, computer science, etc.) or equivalent years of related work experience required. Data Science experience preferred.
Work Experiences:
3-5 years in business intelligence, data engineering, analytics, or related IT roles.
Skills:
4+ years of hands-on experience working in Python/R, SQL
4+ years of practical experience in using enterprise level database - Teradata/DB2 or 3 years w/ GCP (BQ is a plus)/Azure/AWS
3+ years of experience in enterprise grade data visualization tools (e.g., Tableau, Power BI, Looker, MicroStrategy)
3+ years of experience performing advanced analytics, exploratory data analysis (e.g., linear/logistic regression, Cluster analysis)
3 year of experience in application of statistical methods and analytical frameworks
Experience with retail analytics + omnichannel will be a plus
Excellent communication skills, detail-oriented, with the ability to interact with all levels of end users and technical resources
Excellent analytic skills with the ability to use tools & data to dive deep and provide analysis consistently on performance metrics
Strong interpersonal, written, and verbal communication skills to interface effectively with individuals at various levels.
Ability to work well under pressure while consistently meeting time sensitive deadlines.
Analytical with strong problem-solving abilities and creative resolution skills.
Ability to remain organized, pay attention to detail, and meet critical deadlines.
Ability to work well independently, as well as effectively contribute to a team environment.
Ability to prioritize workload, meet multiple deadlines simultaneously in a fast paced, frequently changing environment
Strong Microsoft office program experience including Excel, Word, PowerPoint and VBA
Ability to Program in R, Python and SQL
Responsibilities:
Coordinate with the Data Analytics Lead to gather requirements from Ecommerce stakeholders to Extract, Transform, Load (ETL) data from varied sources, including databases (DB2, Netezza), vendor APIs (Listrak, Yext, BazaarVoice, etc), and files (.csv, Excel)
Execute and coordinate the connection with Microstrategy to data warehouse sources to create interactive, subscribable, dashboards for at-a-glance KPI metrics and graphs
Day-to-day maintenance creating and maintain fit-for-purpose data warehouse model for Ecommerce’s data analytics requirements, eliminating data-redundancy and data duplication
Automate ETL jobs to load data into data warehouse for Ecommerce analysis
Query data to produce datasets for automated KPI dashboards and ad hoc reporting
Build, automation, and maintenance for Key Performance Indicator (KPI) dashboards
Utilize R and Python programming languages to automate updates of KPI reports
Utilize scheduling tool (Windows Scheduler) to automate data ETL jobs
Troubleshoot data integrity issues with cross functional stakeholders in Analytics, BI, Marketing and Product teams
Create and deliver effective and tailored analyses to department leadership & other stakeholders
Utilizing data-science techniques, explore the data to uncover patterns and correlations, predict customer behavior, and pre-emptively identify potential problems
Utilize Google BigQuery Machine Learning for statistical analysis and prediction of customer behavior.
Define and document data and process workflow models
Operate as the subject matter expert on Ecommerce data analytics
Lead by example to build a culture of accountability and rigor to substantiate proven business impact with data; provide guidance to other analysts on the team
Duties may change and associates may be required to perform other duties as assigned
Physical Requirements & Attendance
Acceptable level of hearing and vision to perform job duties
Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
Regular attendance required
** Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.
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