Data Analyst

Data Analyst - Arsenault | Career Page

Data Analyst

Houston, Texas, United States

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Job Openings Data Analyst

About the job Data Analyst

Main Purpose of Job

The Data Analysts role will be to partner with stakeholders across the Arsenault organization to build reporting solutions to guide decisions and provide insights

Key Responsibilities and Accountabilities

• 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

Knowledge and Experience

• 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

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