Data Scientist

Data Analyst

Team culture/work environment: Small team, 2 partners and PSPs, collaborative

Key projects: Looking at data, looking at the trends in the store

Daily Responsibilities:

• Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data
• Employs scaling & automation to data preparation techniques
• Determines analytics approach to solve business problems; incorporates machine learning algorithms where appropriate
• Connects insights to business decision making options and next steps testing or research opportunities
• Understands business initiatives and serves as primary analytic resource in discussions with business partners to define business questions
• Drives creation of final insights package and recommendations; leads presentation
• Directs analytic component of implementation of insights into business processes and ensures appropriate testing takes place
• Develops project proposals, gains stakeholder buy-in, and ensures timelines are met
• Promotes and advocates value of advanced analytics to solve business problems within department
• Mentors data analysts in descriptive and predictive analytics

Technology requirements:

• Tableau
• Power BI
• ServiceNow
• Python (Not a lot)
• Splunk

Years experience?: 5+

Required background? Skills?: People skills, visual story telling, stakeholder cross functional, identify trends

Nice-to-Haves: Experience in developing dashboards