Data Analyst (Contractor)

Confidential is seeking a Data Analyst to build and maintain analytics solutions for business users. The role develops predictive analytics, visualizations, and workflows, communicates insights, and collaborates with business and technical stakeholders to support data-driven decisions.

Responsibilities:

• Actively collaborate with business leaders to understand their business goals and objectives and provide them with new data analytics solutions to enable them to expand markets and grow membership, sales, investments, and charitable giving through the following:
• Enhancing existing; as well as developing new predictive analytics work product, visualizations and workflows to analyze complex business issues, offering actionable insights and solutions for driving operational enhancements and enterprise growth through strategic data-driven decisions
• Identifying and enhancing valuable data sources (within the organization and externally) through the enrichment of existing in-house data with third party data sources
• Communicating insights through the development and implementation of data visualizations, dashboards, and reports for internal and external use
• Collaborating with Department managers, IT, IT Security, Data Warehouse, vendors, and contractors with regards to enterprise and departmental data needs
• Remaining current on new analytical trends, practices, technologies, and solutions, where appropriate to ensure their timely introduction for competitive advantage
• Grow a culture of data analytics by providing training, awareness and other events such as “data days” for employees in the business whose duties encompass data and analytics
• Meeting with stakeholders and making communication easy and transparent regarding project issues and decisions
• Other related duties as assigned

Requirements:

• Analyze, interpret, and present data using industry relevant software i.e. Snowflake, Alteryx, Tableau, Power BI, ArcGIS or other industry software
• Effective oral and written skills
• Being comfortable talking about technical matters with businesspeople and business matters with technical people
• Ability to come up with previously uncovered analysis on business improvement based on new data sets
• Ability to verbally articulate complex analysis and insight simply
• Ability to analyze information to find trends or diagnose problem areas
• Be decisive – ownership of the data gathered and the ability to make informed, critical decisions quickly
• Understanding of CRM, ERP and Data Warehouse/Data Lake applications and structures
• Understanding of cloud-based application architectures
• Expert understanding of project management
• Excellent interpersonal, analytical, and problem-solving skills
• Relates well to others, engages people, and helps them understand change, provides and looks for feedback, articulates clearly, and actively listens
• Teamwork skills with the ability to work in complex cross-functional settings
• Comfortable working in a constantly changing work environment with multiple competing projects and priorities; able to work well with complexity and ambiguity
• Understanding of change management principles
• Ability to gather data, compile information, and prepare reports
• BA or BS degree with emphasis in Business, Statistics, Analytics, or Marketing
• 3 to 5 years of Data analysis, predictive modeling, statistical modeling. Working within a business function to support the data building and analysis for business units
• Record of business process improvement using data and statistical analysis
• Experience using advanced data analytics and geo-spatial applications including, Snowflake, Tableau, Alteryx, AQT, and ArcGIS
• Strong SQL programming skills
• Experience with predictive analytics using R and/or Python
• Proficiency in several areas of data modeling, statistical analysis, data engineering and data visualization Experience with databases and similar applications
• Experience in Access/Excel with VBA scripts, PowerPoint
• Master's degree in Business, Statistics, Computer Science, or Marketing