AI Native, Business Intelligence Analyst at ConsumerAffairs

We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

AI Native, Business Intelligence Analyst at ConsumerAffairs. Location Information: United States - Remote. . At ConsumerAffairs, we help brands build trust, protect their reputations, and drive meaningful customer connections. As a growing company, we pride ourselves on our entrepreneurial spirit, collaborative culture, and relentless focus on innovation. We're expanding our Business Intelligence capabilities and looking for a dynamic Business Intelligence Analyst to join our team.. In this role, you’ll work at the intersection of data, technology, and business strategy — developing scalable data visualizations, collaborating on data infrastructure, and applying cutting-edge AI tools to unlock actionable insights. If you thrive in a fast-paced environment, are passionate about data-driven decision-making, and are excited to grow alongside a team of experts, we’d love to meet you.. What you'll do: . . 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. What you need: . . 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. . Technical Skills:. . Advanced SQL: Writing complex queries, optimizing performance, and developing data models in relational databases (Snowflake strongly preferred).. . Tableau Development: Building scalable dashboards, managing data extracts, creating calculated fields, and designing custom visualizations.. . Data Modeling: Designing and implementing snowflake schemas and common data source models for analytics efficiency.. . ETL/ELT and Data Pipeline Orchestration: Collaborating with Data Engineers to design, monitor, and troubleshoot workflows in tools like Apache Airflow.. . AI/ML Integration for BI: Utilizing AI tools, including LLMs, for data preparation, report generation, anomaly detection, and insights automation.. . Prompt Engineering for LLMs: Crafting effective, context-aware prompts to optimize AI/LLM outputs for data analysis, summarization, and decision support.. . Version Control: Working knowledge of Git for managing Tableau workbooks, SQL scripts, and other analytical assets collaboratively.. . Project Management Tools: Proficiency in using Jira for sprint planning, task management, and progress tracking within agile frameworks.. . Domain Expertise in Digital Marketing and Consumer Technology: Applying industry-specific knowledge to interpret data trends, optimize lead generation, and support brand reputation strategies.. . Benefits. . Health Care Plan (Medical, Dental & Vision). . Retirement Plan (401k). . Life Insurance (Basic, Voluntary & AD&D). . Paid Time Off (Vacation, Sick & Public Holidays). . Family Leave (Maternity, Paternity). . Short Term & Long Term Disability. . Training & Development. . .