Data Analytics & BI Analyst building dashboards, models, and reporting for CoVet’s AI tools supporting veterinary professionals. Partnering across teams to improve business decisions and data quality.
Responsibilities
Pull together and analyze data from multiple systems and sources to create a reliable, consolidated view of business performance
Build and maintain scalable dashboards and reporting for MBRs/QBRs, Sales, Marketing, funnel performance, customer trends, and product usage
Partner with cross-functional teams to understand business questions and identify meaningful metrics
Develop and maintain data models and reporting structures
Establish data validation and quality-control processes
Work with Data Engineers and technical partners to identify data gaps and improve data collection and availability
Translate complex datasets into clear insights, trends, and actionable recommendations
Query and manipulate data using SQL and other analytical tools
Build dashboards and visualizations for teams and leaders
Define, document, and standardize business metrics and reporting methodologies
Investigate data discrepancies and improve data quality
Support recurring executive and leadership reporting, including monthly and quarterly business reviews
Respond to ad hoc analytical requests and turn repeat questions into scalable reporting solutions
Continuously improve dashboards, reporting workflows, and analytical processes
Requirements
5+ years of experience in data analytics, business intelligence, business analytics, or a related role, ideally within a SaaS or technology environment
Strong SQL skills and experience working with large or complex datasets
Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar platforms
Experience building dashboards and reports using BI and visualization tools such as Looker, Tableau, Power BI, Sigma, Metabase, or similar
Strong understanding of data modeling, metric definitions, and reporting best practices
Experience combining and reconciling data across multiple business systems such as CRM, product analytics, marketing, billing, finance, or customer success platforms
Strong analytical judgment and ability to determine meaningful information
Ability to translate ambiguous business questions into structured analytical approaches
Strong attention to detail and high standards for data accuracy and reliability
Excellent written and verbal communication skills, with ability to explain data and insights clearly to non-technical stakeholders
Comfortable working cross-functionally with technical and business teams
Ability to manage competing priorities in a fast-moving environment
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