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Posted: Tuesday, February 6, 2018 5:12 PM

Job Description
Community Veterinary Partners (CVP) owns and operates veterinary hospitals and is committed to providing world:class treatment and health services to animals. CVP is a growing family of animal hospitals with a presence across many states on the East coast. With an accelerating rate of acquisitions, CVP offers a fast paced, exciting, and true entrepreneurial work environment.
The Data Analyst will work with CVPs financial and operations teams as well as third:party vendors to maximize the usability of and value derived from the available data sets. The Data Analyst will lead data aggregation and cleanup efforts across the various source systems and develop and implement scalable processes for data analytics, benchmarking, ad hoc and standard reporting, decision support, predictive modeling, and metric/KPI development. The Data Analyst will play a key role in defining and automating CVPs data and reporting strategies, while collaborating with key CVP stakeholders to understand the heart of the business and provide recommendations for improvement.
Essential Duties and Responsibilities
:Work closely with management to prioritize the companys business and information needs
:Aggregate data from multiple primary or secondary data sources and maintain databases to ensure data reconciliation
:Explore current and past operational and financial data and performance to identify, analyze, and interpret trends or patterns
:Use statistical techniques to interpret data and analyze results
:Conduct root cause analysis and collaborate with vendors to diagnose data inconsistencies and develop strategies to improve data accuracy
:Drive Data Governance and Data Quality initiatives to maximize data value and address required data corrections as appropriate
:Determine best methods to reliably produce desired financial and operational metrics/KPIs from available data
:Assemble and summarize data to structure sophisticated financial and operational reports and dashboards
:Collaborate with finance and operations functions to review findings, further explore identified performance trends, and assist with supplemental data gathering and analysis needed to formulate recommendations for improvement
:Drive continuous improvement in data structure and reporting to support a rapidly scaling business
Preferred Education and Experience
The ideal candidate should have knowledge of complex statistical analysis and familiarity with large complex data sets. Desired experience includes:
:2:4 years of data management, analysis, and reporting experience
:Bachelors in Accounting, Finance, Management,
Mathematics/Statistics, Computer Science, or Engineering
:Experience in SQL and/or SQL Server, including data modeling and ETL principles, is a MUST
:Experience developing use cases or user stories and translating business needs into technical solutions
:Ability to collect, organize, and analyze significant amounts of information quickly
:Technical skills in data mining, segmentation, and statistical modeling
:Experience building reports and dashboards that include complex logic and calculated fields using standard BI tools
:Attitude of continuous improvement with ability to incorporate knowledge of industry trends in Analytics and Information Management
:Ability to work independently and take initiative to identify, analyze, and resolve issues with minimal direction or oversight
:Curiosity, drive, and critical thinking skills to dig deep and make connections between data trends and business outcomes
:Strong communication skills with the ability to present findings, communicate complex topics, and translate data into digestible formats for many different audiences
:Ability to build a compelling business case and influence stakeholders at various levels
:Experience is the following is also a Plus: Payroll and Time Keeping systems, Microsoft Office (particularly Excel and Access), NetSuite, one or more leading BI Solutions (Power


• Location: South Jersey

• Post ID: 53783897 newjersey is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2018