
Senior Data Analyst
1 week ago
This position will support all aspects of data analysis and reporting requirements related to operational needs, including manufacturing, customer care, clinical operations, and revenue cycle management.
Key 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.
Requirements:
- Bachelor's 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.
We offer a dynamic work environment with opportunities for professional growth and development.
How To ApplyPlease submit your resume and cover letter for consideration.
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