Data Analyst

The Data Analysts role will be to partner with stakeholders across the Arsenault organization to build reporting solutions to guide decisions and provide insights, * Translate business goals into appropriate strategies and technical requirements

• Provide clear requirements and development plans to the onsite and offshore teams
• Build dashboards and visualizations to provide data access and insight to the business stakeholders
• Define, populate, and maintain user groups and user access within analytics tools
• Assist in user adoption and enablement activities such as delivering training sessions or writing instructional content
• Support data validation efforts

Data Analysis, Data Analysis, Technical Strategy, Offshoring, Reporting Dashboards, Data Visualization, User Groups, Customer Acquisition, Training/Teaching, Data Quality, * Experience with interactive visualization development using one or several of the following: Python, R/Shiny, Tableau, Power BI

• Experience with SQL and other modern data storage technologies
• Experience telling a story through data and building visualizations and dashboards that can be interpreted by non-technical audiences
• Strong interpersonal and oral and written communication skills, and the ability to build and maintain relationships with customers and colleagues
• Experience implementing one or several of the following statistical techniques: linear regression, time series analysis, experimental design, hypothesis testing, and A/B testing
• Experience with Python and Python-based data analysis and manipulation packages

Desired Skills and Abilities

• BS/MS degree in Business, Operation Research, Economics, Statistics, or related fields
• Fluent in SQL
• Ability to work independently with minimal Engineering support
• Extensive experience with data visualization tools (Power BI preferred)
• Proficient in Excel and Power Query
• Working knowledge of DAX
• Working knowledge of relational databases, ETL tool, data conversion and data cleansing methods
• Ability to work with large and complex datasets
• Ability to write clear and thorough technical documentation
• Ability to work effectively with people at all levels in an organization
• Ability to handle multiple projects in a fast-paced environment
• Ability to adapt quickly to changes in the work environment and priorities
• Ability to manage frequent requirement changes
• Ability to work collaboratively in a team environment