ConsumerAffairs

AI Native, Business Intelligence Analyst

ConsumerAffairs

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowApacheETLSQLTableau

About the role

  • Design, develop, and maintain dashboards and reports primarily using Tableau, ensuring scalable and reusable data models.
  • Collaborate closely with Data Engineering and Data Architecture teams to design optimized Snowflake data marts and ensure efficient, high-quality data pipelines.
  • Develop and manage common data source models in Tableau to promote consistency and scalability across multiple departments.
  • Partner with Engineering teams to automate data workflows and orchestrate data refreshes using tools like Airflow.
  • Lead initiatives to push automated report distribution (e.g., Slack notifications, scheduled email reports) and drive broader data accessibility across the organization.
  • Apply business knowledge to translate complex data into strategic insights.
  • Leverage AI and large language models (LLMs) to enhance reporting, analytics processes, and overall business intelligence capabilities.
  • Collaborate cross-functionally to gather requirements, prioritize initiatives, and deliver data-driven solutions that align with business objectives.
  • Manage tasks and project timelines using Atlassian Jira, ensuring high transparency and accountability across deliverables.
  • Continuously identify opportunities to improve data visualization best practices, driving a culture of data literacy throughout the company.

Requirements

  • Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field (Master’s a plus).
  • 3+ years of professional experience in business intelligence or analytics roles with demonstrated success in similar environments.
  • Advanced expertise in relational databases, with strong preference for Snowflake experience.
  • Proficient in BI platforms, specifically Tableau, with proven experience developing enterprise-level dashboards and data models.
  • Familiarity with project management and agile methodologies, with hands-on experience in tools like Jira.
  • Practical knowledge of AI/ML applications in data analysis, such as utilizing LLMs for data summarization, anomaly detection, and report generation.
  • Strong SQL skills and understanding of database design and optimization principles.
  • Experience collaborating with data engineering teams on ETL/ELT processes and orchestration frameworks like Airflow.
  • Excellent communication skills, with the ability to translate technical findings into actionable business insights.
  • A demonstrated eagerness for continuous learning, adaptability to emerging technologies, and a growth mindset.
  • Masters Degree or PhD a plus