Data Analytics, BI Analyst

atCoVetRemoteCA flagCanadaFull-timeUncategorizedMid-levelSeniorC$90k – C$105k/year

Posted Sep 19

This is a fully remote position, open to applicants in Canada.

📋 Description

• Gather and analyze data from various systems and sources to create a dependable, consolidated view of business performance.

• Develop and manage scalable dashboards and reports for MBRs/QBRs, Sales, Marketing, funnel performance, customer trends, and product usage.

• Collaborate with cross-functional teams to comprehend business inquiries and pinpoint significant metrics.

• Create and sustain data models and reporting frameworks.

• Implement data validation and quality-control measures.

• Work alongside Data Engineers and technical partners to identify data deficiencies and enhance data collection and accessibility.

• Convert complex datasets into clear insights, trends, and actionable recommendations.

• Use SQL and other analytical tools to query and manipulate data.

• Design dashboards and visualizations for teams and leadership.

• Define, document, and standardize business metrics and reporting practices.

• Investigate data inconsistencies and enhance data quality.

• Facilitate recurring executive and leadership reporting, including monthly and quarterly business reviews.

• Address ad hoc analytical requests and transform recurring questions into scalable reporting solutions.

• Continuously enhance dashboards, reporting workflows, and analytical processes.


⛳️ Requirements

• Over 5 years of experience in data analytics, business intelligence, business analytics, or a related field, preferably within a SaaS or technology setting.

• Proficient SQL skills and experience handling large or complex datasets.

• Familiarity with cloud data warehouses such as Snowflake, BigQuery, Redshift, or equivalent platforms.

• Experience in building dashboards and reports using BI and visualization tools like Looker, Tableau, Power BI, Sigma, Metabase, or similar.

• Strong grasp of data modeling, metric definitions, and reporting best practices.

• Experience in merging and reconciling data across various business systems such as CRM, product analytics, marketing, billing, finance, or customer success platforms.

• Strong analytical judgment with the ability to identify meaningful information.

• Ability to transform ambiguous business inquiries into structured analytical methodologies.

• Keen attention to detail and high standards for data accuracy and reliability.

• Excellent written and verbal communication skills, capable of explaining data and insights clearly to non-technical stakeholders.

• Comfortable collaborating across technical and business teams.

• Ability to manage competing priorities in a dynamic environment.


🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible working arrangements.

• Opportunities for professional development and career advancement.

• A vibrant and inclusive company culture.

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