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Analytics Engineer

Posted 8 days agoViewed

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💎 Seniority level: Junior, 1-3 years

🔍 Industry: Marketing

🏢 Company: Power Digital👥 1001-5000💰 Secondary Market about 3 years agoDigital MarketingAdvertisingSEOMobile AdvertisingBrand MarketingMarketingMarketing Automation

🗣️ Languages: English

⏳ Experience: 1-3 years

Requirements:
  • 1-3 years of experience in designing and implementing basic data models for analytics and business intelligence, focusing on supporting centralized and accessible data structures within data warehouses
  • 1-3 years of experience in SQL-based data transformations using tools like dbt, with exposure to ETL/ELT processes and a willingness to learn best practices for optimizing data structures
  • 1+ years of experience working with data warehousing principles and BI tools (e.g., Looker, Tableau, Power BI), assisting in the creation and maintenance of analytics-ready datasets
  • Strong problem-solving skills with the ability to troubleshoot data discrepancies, monitor data pipelines, and support performance optimizations under guidance
  • Experience working with or supporting cross-functional teams, including data engineers, product teams, and business stakeholders, to understand data needs and contribute to analytical solutions
  • Some experience or coursework in documenting data models, definitions, and transformations, with a willingness to improve documentation and maintain data quality standards
  • Exposure to new tools and methodologies in analytics engineering, with a proactive approach to learning and improving data transformation and delivery processes
  • Bachelor's degree (or equivalent experience) in Computer Science, Information Technology, Data Analytics, or a related field
Responsibilities:
  • Assist in developing and maintaining clean, analytics-ready data models (e.g., star, snowflake schemas) under guidance from senior engineers
  • Write and optimize SQL queries and transformations, ensuring efficient data retrieval and accuracy, while reviewing best practices with senior team members
  • Monitor and maintain data pipelines, assisting in debugging issues and working with senior engineers to implement fixes
  • Implement data quality checks using predefined validation rules and work on resolving flagged issues
  • Collaborate with business stakeholders and senior analytics engineers to translate data requirements into structured models
  • Support data marts and curated datasets, ensuring that business users have accurate, up-to-date, and accessible information
  • Handle support tickets, troubleshooting data-related issues and escalating more complex problems to senior engineers
  • Maintain documentation for data models, transformations, and business definitions to help improve transparency and consistency
  • Develop and maintain Looker dashboards and reports, ensuring they meet business needs and provide actionable insights
  • Participate in identifying and suggesting process improvements for data pipelines and transformation tools
  • Employ AI technologies to enhance and optimize business processes
  • Utilize and leverage Power Digital's Nova ecosystem as it relates to your department
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