Business Intelligence Analyst

Position Overview:

This role is responsible for developing and scaling business intelligence and analytics capabilities. The individual will oversee both technical and strategic aspects of BI, including data modeling, architecture, reporting, and insights. This position is a key partner across multiple teams, delivering high-quality dashboards, data models, and actionable insights to support decision-making.

Key Responsibilities:

Business Intelligence Development:

-Data Modeling & Development: BI Analytics Engineer to build and maintain robust dbt models and data marts using advanced SQL, ensuring scalable and reusable solutions aligned with business needs.

-Version Control: Use Git to maintain collaborative workflows and ensure code quality and alignment.

-Upstream Data Integration: Collaborate with data warehousing teams to ensure seamless data integration and quality across systems.

Analytics & Insights:

-Dashboard Development: Design and manage dashboards using BI tools to provide clear, actionable insights into key metrics and business trends.

-Strategic Analysis: Conduct in-depth data analysis to identify trends, opportunities, and risks, delivering actionable recommendations.

-Data Storytelling: Present insights through compelling visualizations, reports, and narratives tailored to stakeholders.

Collaboration & Leadership:

-Business Partnering: Act as a BI liaison across teams, translating business needs into technical solutions.

-Process Optimization: Advocate for BI best practices, including automation, standardization, and governance improvements.

Qualifications:

-Bachelor’s degree in Computer Science, Data Science, Statistics, Business, or a related field.

-Minimum of 3+ years of experience in BI, Data Analysis, or similar roles.

-Proficiency in Tableau, dbt (with strong SQL), and Snowflake.

-Experience with ETL processes and creating/maintaining data models.

-Strong data storytelling and presentation skills.

-Experience supporting B2B and/or B2C environments, preferably in SaaS.

-Solid understanding of business functions and key metrics.

-This role requires domestic and international travel. All standard travel expenses will be covered in accordance with the company's travel reimbursement policy.

Nice to Have:

-Experience with Python or other scripting languages for data analysis and automation.

-Familiarity with statistical analysis and machine learning techniques.

-Experience in a high-growth startup environment.