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Data Analyst

Posted 2 days agoViewed

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πŸ’Ž Seniority level: Middle, 3 years

πŸ“ Location: United States, Canada, EST, PST

πŸ” Industry: Pet Health

πŸ—£οΈ Languages: English

⏳ Experience: 3 years

πŸͺ„ Skills: PythonSQLData AnalysisETLMicrosoft Power BISnowflakeData scienceREST APIAnalytical SkillsData visualizationData modelingData analyticsData management

Requirements:
  • Working knowledge of SQL
  • Current or prior experience working with MS PowerBI
  • Experience using Snowflake or similar cloud-based platforms (Redshift, Azure SQL)
  • Experience using Python a plus
Responsibilities:
  • Collaborates with stakeholders to understand and define business requirements for operational and analytical reports.
  • Collects, analyzes, and interprets data from various sources to identify trends, patterns, and insights.
  • Performs data cleansing, validation, and document data definitions. Establishes business rules and quality checks to ensure accuracy and reliability of reports.
  • Designs, develops, and maintains interactive dashboards, visualizations, and reports using business intelligence tools.
  • Uses analytics and metrics to improve processes and provide data-driven forecasts of potential costs, risks, and profiles of new business initiatives.
  • Queries and manipulates data using SQL to extract and transform data from databases.
  • Collaborate with cross-functional teams to support ad-hoc data analysis requests.
  • Presents findings and recommendations to stakeholders in a clear and concise manner.
  • Performs other duties and responsibilities as assigned.
  • Analyzes large datasets, identifies trends, and extracts insights to support decision-making processes
  • Develops and maintains data models and schemas to ensure data accuracy, consistency, and efficiency
  • Builds and refines predictive and prescriptive models to support forecasting, optimization, and data-driven recommendations
  • Applies statistical techniques to analyze data and conducts hypothesis testing, when necessary
  • Implements data quality checks and validation processes to ensure data integrity and reliability
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