Data Analyst | Hybrid | W/ Tableu Experience

Qualifications

• Bachelors degree (or equivalent) in mathematics, computer science, economics, or statistics
• Three or more years of experience mining data as a data analyst
• Proven analytics skills, including mining, evaluation, and visualization
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Advanced Excel Skills, with aptitude for learning other analytics tools
• Proficiency in Tableau Ability to maintain confidentiality based on access to proprietary financial, operational and competitive information.
• Familiarity with data warehouse systems, specifically Snowflake, is a huge plus.

Responsibilities

• Collaborate with the Business Analytics team to gather requirements, provide status updates, and build relationships
• Gather, analyze and interpret data to help supported business units solve problems and allow for operational process improvements
• Use tools and techniques to develop and visualize data in easy-to-understand formats, such as diagrams and graphs
• Data Cleaning and Validation: Ensure data quality by fixing errors, duplicates, and outliers while ensuring the accuracy of the data
• Process Improvement: Identify process inefficiencies and recommend improvements to streamline operations. Collaborate with cross-functional teams to implement best practices and standardize workflows.
• Identify trends and opportunities for growth through analysis of complex datasets
• Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
• Proactively analyze data to address key questions for stakeholders and yourself, focusing on what drives business performance.
• Investigate and communicate which areas require improvement in efficiency and productivity