Business Intelligence Analyst

Maleda Tech

20d • $75 - $89 • Onsite

About The Position

Maleda Tech is hiring a Business Intelligence Analyst to join the revenue operations team of a fast-growing consumer services business. This role is central to shaping how the team measures, manages, and accelerates performance. You'll build core dashboards and data frameworks that enable the team to operate with clarity, speed, and confidence — and your insights will directly inform strategic decisions and help define how the business scales.

Requirements

• Advanced proficiency in SQL for querying and transforming large datasets.
• Experience navigating complex data infrastructure.
• Strong Excel/Google Sheets skills and familiarity with business intelligence tools (e.g., Tableau, Looker, Superset).
• Comfortable leveraging AI tools to accelerate analysis, querying, and reporting.
• Strong analytical and critical thinking skills, with the ability to translate data into clear business insights in writing.
• Excellent written and verbal communication skills, able to tell the story behind the numbers.
• Proven ability to distill complex analyses for non-technical, senior stakeholders.

Nice To Haves

• 4+ years of experience in business analytics, data, business operations, or a related field.
• Prior experience in a high-growth environment, multi-sided marketplace, or platform business.
• Comfort working independently in a fast-paced, ambiguous environment where speed and clarity matter.
• Bachelor's or Master's degree in Business Analytics, Data, Economics, or a related field.

Responsibilities

• Design, build, and maintain dashboards that track business performance.
• Develop and maintain KPIs that provide real-time visibility into business health and funnel performance.
• Analyze funnel conversion rates, drop-off points, and program effectiveness, making recommendations to improve impact and efficiency.
• Partner with cross-functional teams to identify the right metrics and reporting for pilots and new initiatives.
• Synthesize complex data into clear, actionable insights for leadership.
• Deliver concise, data-backed narratives that frame opportunities, challenges, and outcomes.
• Own SQL-based querying, data wrangling, and transformations for complex datasets.
• Streamline and automate recurring reporting to reduce manual effort and increase accuracy.
• Partner with engineering and data science teams as needed to resolve data quality or access issues.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level