Senior Data Analyst

Posted 14 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: Canada

💸 Salary: 106000.0 - 128000.0 CAD per year

🔍 Industry: Healthcare

🏢 Company: PurposeMed👥 101-250💰 $3,792,112 Seed almost 4 years agoPharmaceutical Personal Health Medical Health Care

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: SQLBusiness IntelligenceData AnalysisData engineeringCommunication SkillsAnalytical SkillsData visualizationData modelingData analytics

Requirements:

5+ years of hands-on experience in data analytics, with a strong foundation in analytics engineering, BI, and statistical analysis
Strong SQL skills and experience with modern data transformation tools (e.g., dbt, Airflow)
Experience with BI or data visualization tools like Looker, Tableau, or Power BI
The ability to partner with stakeholders, translate business needs into data solutions, and communicate insights effectively
Comfort with ambiguity—someone who is able to break down open-ended questions into structured analysis
Strong analytical and problem-solving skills, with the ability to analyze large and complex data sets
Excellent communication (verbal and written) and collaboration skills, with the ability to work effectively with cross-functional teams

Responsibilities:

Collaborating with business leaders to define core business metrics and creating dashboards and tools to monitor the health of the business
Being our visualization domain expert with BI platforms and other data visualization tools
Reconciling data across a diverse set of tools, ensuring accuracy, driving data flow improvements, and maintaining data quality and integrity in partnership with the Data Engineering team
Partnering directly with internal collaborators to understand data needs and performing in-depth analysis to understand the underlying causes of changes in business performance
Delivering results and managing projects on time with respect to business priorities
Utilizing statistical and analytical techniques to extract insights from large and complex data sets

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