Job Description#LI-DNI
ResponsibilitiesEssential Functions and Primary Duties- Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
- Complete the gathering and cleaning processes for data from various sources, ensuring data integrity and quality
- Use statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
- Develop and maintain dashboards, reports, and visualizations to communicate data findings effectively
- Identify KPIs and develops metrics to track and measure business performance
- Collaborate with data engineers and IT professionals to optimize data collection, storage, and retrieval processes
- Maintain expertise in industry trends, emerging technologies, and best practices related to data analytics, business intelligence, visualization, and reporting.
- Gather, cleanse, transform, and integrate data from multiple internal and external sources while maintaining data integrity and governance standards.
- Design, develop, and maintain dashboards, reports, and visualizations that effectively communicate insights to technical and business stakeholders
- Translate complex analytical findings into clear, concise, and actionable business recommendations for audiences at all organizational levels.
- Build scalable tableau reporting using parameters, actions, filters, LODs, drilldowns and interactive visualizations.
- Develop and maintain Tableau Prep workflows to automate data cleansing, transformation, integration, and preparation of data from multiple sources
- Communicate effectively to convey complex data findings to both technical and business executives
- Other duties as assigned.
Preferred Qualifications- Experience with programming languages such as SQL, Python scripting, and Power Query for data manipulation and analysis
- Experience using REST APIs integrations, and automation of data extraction and transformation workflows.
- Knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
- Experience developing and maintaining dashboards and reports using Tableau, Power BI, and Microsoft Excel, or comparable business intelligence platforms.
- Proven experience with ServiceNow and Snowflake or Data Lake for data retrieval and extraction
- ServiceNow Incident and Operational analytics including performance metrics.
QualificationsMinimum Qualifications Bachelor's degree in data science, statistics, mathematics, information science or related field plus three (3) years of experience as a data analyst, data scientist, BI analyst, or related profession OR a combination of education and experience equal to seven (7) years.
About UsCBIZ, Inc. (NYSE: CBZ) is a leading professional services advisor to middle-market businesses nationwide. With industry knowledge and expertise in accounting, tax, advisory, benefits, insurance, and technology, CBIZ delivers actionable insights to help clients anticipate what is next and discover new ways to accelerate growth. CBIZ has more than 9,500 team members across 23 major markets coast to coast.
CBIZ strives to be our team members' employer of choice by creating an environment where team members are appreciated, recognized for their contributions, and provided with opportunities to grow, both personally and professionally, throughout their careers.
Together, CBIZ and CBIZ CPAs are ranked as one of the top providers of accounting services in the United States. CBIZ CPAs is an independent CPA firm that provides audit, review and attest services, while CBIZ provides business consulting, tax and financial services. In certain jurisdictions, CBIZ CPAs operates under its previous name, Mayer Hoffman McCann P.C.
