Business Intelligence Analyst

Jobgether

21h

About The Position

This role is ideal for a data-driven professional who thrives on turning complex datasets into actionable business insights. The Business Intelligence Analyst will own analytics strategy across key business areas, providing stakeholders with clear performance reporting, predictive insights, and actionable recommendations. You will build and maintain data pipelines, define KPIs, and develop dashboards that inform strategic decisions across Operations, Sales, Marketing, and Product teams. This role offers exposure to cross-functional projects, opportunities to leverage AI tools to accelerate analytics, and a chance to shape how the organization uses data to drive business growth. The environment is collaborative, fast-paced, and emphasizes practical, data-informed decision-making.

Requirements

5+ years of experience in business intelligence, analytics, or a related field.
Expert-level SQL querying skills and strong database knowledge.
Proficiency with modern BI platforms (Tableau, Metabase, AWS, dbt, VCS) and cloud data technologies.
Strong understanding of data modeling, dimensional modeling, and business metrics.
Solid foundation in statistical concepts and analytical methods for identifying trends and drivers.
Proven track record of influencing business decisions through data storytelling for executive audiences.
Experience leading cross-functional projects and aligning stakeholders around data-driven recommendations.
Familiarity with scripting languages (Python or R) and experience using AI/LLM tools to enhance workflows.

Nice To Haves

Experience in real estate, proptech, or hospitality industries is a plus.
Experience with operational analytics, including capacity planning, workforce forecasting, and support efficiency metrics, is desirable.

Responsibilities

Lead the design, development, and implementation of analytics solutions to answer complex business questions.
Build, maintain, and optimize data pipelines from multiple sources, ensuring data quality, accuracy, and accessibility.
Partner with leadership to define KPIs, performance metrics, and measurement frameworks for strategic initiatives.
Translate complex data into actionable insights, creating dashboards and reports for cross-functional stakeholders.
Identify trends, patterns, and opportunities across customer segments to guide growth strategies and business planning.
Support adoption of analytic tools and insights by effectively communicating results and enabling data-driven decision-making.
Leverage AI and LLM tools to enhance analytics workflows and improve efficiency.