Candidates must be legally authorized to work for any employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Verification of employment eligibility will be required at the time of hire.
Job Duties
Engagement and completions of Analytics team projects (liaison, facilitator, owner, or support)
Monitor, receive and complete requests from business users to enhance reports from data lake
Support business users with reports and data questions
Collaborate with MyIT on data model solutions, definitions and decisions
Perform routine data audits to identify improvement opportunities
Assist with formulation of project teams and scope definition for data analytics projects
Formulate hypothesis and develop data views, dashboards, and queries to evaluate hypothesis
Create data sets from internal and external sources using multiple technical solutions
Identify and pursue opportunities to support business growth through use of data analytics and modeling
Create visualizations and dashboards to share analysis with non-technical users
Manage data alignment as needed due to business process changes
Ensure data alignment for regulatory compliance requirements
Communicate technical concepts to non-technical audience by creating a narrative from data and the key ideas
Remain current with analytics techniques and technology
Respond to ad-hoc data analytics requests
Monitor use of manual reporting across the organization
Provide direction on best data sets to utilize for decision making
Other duties as assigned.
Requirements:
Bachelor's degree in business, data analytics, statistics, logistics, etc. or equivalent work experience required
2+ years of relevant work experience required
Experience with SAP data, reports, terminology, and navigation required
Additional Knowledge, Skills, and Abilities
Fluent in MS Office (Excel, Word, Power Point)
Knowledge of advanced Excel, SQL, Python, Tableau, and SAP Analytics Cloud
Ability to expand technical skill set by becoming proficient with query and visualization tools
Strong analytical skills - Experience building complex data sets from multiple sources
Ability to prioritize to achieve deadlines in a fast-paced environment.
Self-starter; able to work under minimal guidance.
Attention to details and results orientated
Ability to educate others on statistical / machine learning methods
Clear communicator - both written and verbal
Ability to meet timelines and ask for assistance when needed
