Analytics Engineer/Data Analyst at DataMaxis - ScoutJobs - The AI-curated global job board
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DataMaxis
Posted 7 hours ago

Analytics Engineer/Data Analyst

DataMaxis

Requirements

Strong proficiency in SQL, Hands-on experience with Snowflake and dbt, Experience with Tableau dashboards, Understanding of data modeling and analytics architecture, Data validation and quality assurance, Analytical and problem-solving skills, Ability to work independently in a contract environment

Skills

SQLSnowflakeDBTTableauData Modeling

About the role

Responsibilities

  • Design, build, and maintain scalable data models and analytics pipelines using Snowflake and dbt
  • Develop, optimize, and maintain SQL-based transformations and reporting datasets
  • Support and enhance Tableau dashboards, reports, and data sources
  • Monitor, validate, and improve data quality across analytics workflows
  • Investigate and resolve data pipeline issues, discrepancies, and reporting challenges
  • Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions
  • Create and maintain documentation for data models, business logic, transformations, and validation processes
  • Contribute to best practices for analytics engineering, data governance, and reporting standards

Requirements

  • Strong proficiency in SQL for data transformation, analysis, and reporting
  • Hands-on experience with Snowflake and dbt
  • Experience developing or supporting Tableau dashboards and reporting solutions
  • Strong understanding of data modeling concepts and analytics data architecture
  • Experience with data validation, quality assurance, and troubleshooting data issues
  • Excellent analytical, problem-solving, and communication skills
  • Ability to work independently and manage deliverables in a contract environment

Preferred Qualifications

  • Experience with modern data stack tools and end-to-end analytics workflows
  • Familiarity with ELT/ETL processes and data warehousing best practices
  • Experience working with cross-functional business and technical teams
  • Exposure to cloud-based analytics ecosystems and reporting platforms
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