Vice President of Business Intelligence & Corporate Analytics

Overview

Marcum LLP is now part of CBIZ and CBIZ CPAs, a partnership that unites us with one of the nation's top accounting and advisory providers. You will continue to work with the same dedicated team and receive the same high-quality service you've come to rely on.

CBIZ, Inc. is a leading professional services advisor to middle market businesses and organizations nationwide. With expertise in accounting, tax, advisory, benefits, insurance, and technology, CBIZ delivers forward-thinking insights and actionable solutions to help clients anticipate what's next and discover new ways to accelerate growth. CBIZ has more than 10,000 team members across more than 160 locations in 21 major markets coast to coast.

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.

• Transform internal corporate data reporting resources and tools, to improve efficiency and effectiveness
• Develop and implement data-driven strategies to support organizational decision-making
• Enhance benchmarking capabilities to provide actionable insights for client service
• Identify opportunities to serve clients better through enhanced corporate data repositories and reporting
• Based on data governance and security standards, identify areas where data may be used to benchmark client businesses, foster client growth, and enhance client profitability
• Transform data insights into a competitive market differentiator for the organization
• Define internal data requirements and establish data processes to achieve ultimate data objectives
• Collaborate with cross-functional teams to identify and implement data analytics solutions
• Stay current with emerging trends and technologies in business intelligence and data analytics

• 10 years of experience in professional services, with a preference in accounting, tax, audit, consulting, and insurance, and a strong focus on data analytics and reporting.
• Proven track record of leading teams and delivering data-driven solutions
• Industry expertise in accounting (Tax, Audit, and Advisory) is preferred.
• Expert knowledge of enterprise information / data repositories (such as Oracle), as well as Microsoft applications and Salesforce. Knowledge of audit and tax platforms that generate large volumes of client data annually is a huge plus.
• Expertise in data visualization techniques and best practices for presenting complex information
• Advanced hands-on proficiency in a wide range of data analytics and business intelligence tools, to design solutions and to oversee and mentor technical team members to ensure accuracy
  • Microsoft Power BI:
    Expert-level experience; for designing and creating interactive dashboards, implementing DAX measures, and developing complex data models
  • SQL:
    Proficient in writing complex queries, stored procedures, and optimizing database performance
  • Python or R:
    Experience with data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, ggplot2)
  • ETL Tools:
    Expertise in data integration and transformation using tools like SSIS, Alteryx, or Talend
  • Cloud Platforms:
    Familiarity with cloud-based analytics services (e.g., Azure Synapse Analytics, AWS Redshift, Google Big Query)
• Strong background in Microsoft Data analytics technologies, including:
  • Azure Data Factory for data integration and workflow orchestration
  • Azure Databricks for big data analytics and machine learning
  • Power Apps and Power Automate for creating custom business applications
• Proficiency in optimizing Oracle and other database management and analytics tools
• Knowledge of data integrations and reporting with Salesforce, including Salesforce Analytics (Einstein Analytics) and Salesforce Integration
• Experience with strategizing and leading data migration efforts
• Experience directing and driving data governance, data quality management, and data security best practices
• Extensive experience with Data Lake technologies and architectures, including:
  • Data Lake storage solutions:
    Azure Data Lake Storage, Amazon S3, Google Cloud Storage
  • Data processing frameworks:
    Apache Hadoop, Apache Spark, Apache Flink
  • Data cataloging and metadata management tools:
    Azure Data Catalog, AWS Glue Data Catalog
  • Data governance and security for Data Lakes: data encryption, access control, data lineage tracking
  • Data Lake query engines:
    Apache Hive, Presto, Apache Drill
  • Data Lake integration with BI tools and data warehouses
• Implementation of data lake best practices: data zoning (raw, cleaned, curated zones), data partitioning strategies, and optimization techniques
• Education and Certifications
  • Bachelors degree or higher, with a preference of Computer Science, Information Systems, Business Analytics, Data Science,…