Business Intelligence Analyst I

Yes Energy•Boston, MA

2d•$70,000 - $90,000•Hybrid

About The Position

We are looking for a curious, detail-oriented data professional who is excited to turn raw data into clear, trustworthy insights for the business. This role will build semantic views in our Snowflake-based enterprise data warehouse and use them to develop analytics and dashboards in Sigma, our BI platform. You'll work closely with business stakeholders to understand their questions, then translate those questions into clean, well-modeled data and intuitive visualizations. This is a junior-to-mid level role, ideal for someone who wants to build a strong foundation in data analytics with a clear path toward analytics engineering, including tools like dbt and Dagster, as they grow.

Requirements

1-3 years of experience in data analysis, BI, or a related analytics role
Bachelor's degree in a quantitative field (e.g., economics, computer science, data science, mathematics, statistics) or equivalent experience
Solid SQL skills, ideally with experience in Snowflake or a similar cloud data warehouse
Experience building dashboards or reports in a modern BI tool (Sigma experience a plus)
Comfortable working with large datasets and translating business logic into queries
Strong analytical thinking and attention to detail
Ability to balance speed and rigor in a fast-paced environment
Comfortable asking questions and digging into ambiguity rather than waiting for perfect requirements
Enjoys working on a highly collaborative, fast-paced team
Ability to communicate technical concepts clearly to non-technical stakeholders
Self-directed and able to manage priorities with support from senior team members

Nice To Haves

Familiarity with version control (Git) a plus
Exposure to dbt, Dagster, or similar data pipeline/transformation tools
Interest in Python for data analysis

Responsibilities

Build and maintain semantic views in Snowflake that make curated data easy to query and understand
Perform data validation and error analysis to catch and resolve data quality issues
Collaborate with the EDA team to ensure semantic views meet business reporting needs
Document data definitions and logic so datasets are self-serve friendly
Design and build dashboards and reports in Sigma
Translate ambiguous business questions into clear, structured analyses
Partner with stakeholders to define requirements and iterate on deliverables
Communicate findings clearly to both technical and non-technical audiences
Work closely with data engineers, data scientists, and business stakeholders in a fast-paced, highly collaborative team
Participate in code reviews and incorporate feedback to improve data and dashboard quality
Contribute to a learning-oriented team environment
Pursue growth opportunities into analytics engineering, this could include activities such as working with established tooling such as dbt and Dagster to working on special projects with senior staff from other teams and/or departments.