Senior Marketing Manager driving growth and visibility for Physical Sciences portfolio at Wiley. Overseeing marketing strategy, team management and cross - functional collaboration across several channels.
About the role
- Data and Analytics Analyst at Regions transforms data into insights guiding operational decisions. Collaborates with teams to analyze trends, impacts, and opportunities.
Responsibilities
- Creates reports that are valuable, readable, and presentable to stakeholders
- Prepares visual reports/presentations to present analysis to management
- Interprets, analyzes, and provides insights to teams and managers to determine operational impact, trends, and opportunities
- Performs data analysis to help achieve data automation
- Creates and maintains databases to help classify & store information
- Completes day-to-day deliverables and ad-hoc data reports to support business needs/projects and answer data related questions
- Ensures compliance by performing quality data audits, mining, and management
- Monitors data and analytics trends and seeks opportunities for continuous improvement
- Offers guidance to junior analysts, ensuring proper training and tools are provided
- Partners with the centralized Data Governance team to implement and support data governance and data quality requirements
Requirements
- Master's degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field and six (6) years of experience in a data analytics or related role
- Or, a Bachelor’s degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field and eight (8) years of experience in a data analytics or related role
- Two (2) years of proven experience utilizing analytical software such as Structured Query Language (SQL), Statistical Analysis System (SAS), SAS Enterprise Miner, and applicable Microsoft Office applications
- Working knowledge of business intelligence software (e.g. Tableau, Power BI)
- Experience in Machine Learning, Deep Learning, or Artificial Intelligence
- Programming experience in Machine Learning, Deep Learning, or Artificial Intelligence
- Programming experience in Python, Ruby, R, MATLAB, Scala, or Java
- Experience in Big Data Technology in Hadoop, Hive, Impala, SPark, or Kafka
Benefits
- Paid Vacation/Sick Time
- 401K with Company Match
- Medical, Dental and Vision Benefits
- Disability Benefits
- Health Savings Account
- Flexible Spending Account
- Life Insurance
- Parental Leave
- Employee Assistance Program
- Associate Volunteer Program
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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