Mid-level Business Intelligence Engineer

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3 hours ago

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Parser

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Artificial Intelligence • SaaS • Enterprise

Parser is a technology solutions company that elevates organizations through innovative AI-driven strategies and expert engineering services. The company partners with technology leaders to achieve key business goals, focusing on adaptability, customization, and collaboration. With a commitment to fostering innovation and long-term partnerships, Parser delivers comprehensive solutions in software engineering, AI and data utilization, product design, and digital transformation consulting.

201 - 500 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Design, build, and deploy new dashboards in AWS QuickSight, using parameters, controls, calculations, and optimized visual design. • Create reusable datasets, calculated fields, and dashboard logic using both SPICE and Direct Query to Redshift. • Apply advanced analytical features such as period-over-period comparisons, level-aware calculations, ranking, and user-driven interactive elements. • Ensure reporting clarity, performance, and business value, turning business needs into insightful dashboards. • Leverage GenAI capabilities (e.g., Amazon Q within QuickSight or other GenAI tools) to speed up development, improve analysis, and enhance user experience. • Work daily with the Data Engineering team, consuming prepared datasets primarily from Amazon Redshift. • Understand data models and business logic to write efficient SQL queries powering dashboards. • Validate data quality and consistency in collaboration with Data Engineering and business stakeholders. • Participate fully in team rituals—standups, planning sessions, and ongoing stakeholder discussions.

🎯 Requirements

• 3+ years of experience in BI development and dashboard creation using QuickSight • Strong experience building dashboard in other major tools (Tableau, Power BI, Looker, MicroStrategy, etc.). • Strong SQL skills and ability to write efficient queries for reporting layers. • Experience with Amazon Redshift or similar cloud data warehouses. • Solid understanding of data modeling, business reporting, and visualization best practices. • Hands-on experience in reporting migrations or transitions is a plus (e.g. from Tableau to QuickSight). • Ability to collaborate with Data Engineering to build reporting on top of pre-modeled datasets (no heavy pipeline work required). • Experience working inside the AWS ecosystem (S3, Athena, IAM, Glue). • Experience with GenAI tools for analytics, BI development, or workflow optimization is highly appreciated. • Strong communication skills for working directly with business teams and participating in daily collaboration.

🏖️ Benefits

• Join a top-tier engineering community solving meaningful real-world challenges. • Work on impactful Android products and features used across regional markets. • Competitive salary structure with medical coverage. • Dynamic and inclusive work culture centered on ownership, innovation, and growth. • Global presence with offices and relocation pathways aligned to your career goals.