Business Intelligence Developer

Selby Jennings; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Selby Jennings is seeking an experienced data/BI professional to produce insightful reports and dashboards for business teams in a fast-paced environment. You will query data using SQL, validate it, and build robust Excel reporting files to support decision making.

Ideal candidates have 4+ years in data/BI roles, strong SQL and Excel skills, and experience with Tableau or Power BI. Financial services background and strong communication are a plus, with exposure to Python being a bonus.

Qualifications

• 4+ years in data, BI, or analytics roles.
• Strong SQL and advanced Excel skills.
• Experience with BI tools (e.g., Tableau, Power BI).
• Background in financial services preferred.
• Ability to connect data outputs to business use cases.
• Comfortable in lean, high-ownership environments.
• Strong communication and stakeholder management.
• Nice to have: Python and exposure to AI tools.

Responsibilities

• Produce reports, dashboards, and analyses for business teams.
• Query and validate data using SQL in a relational database.
• Build and maintain Excel models and reporting files.
• Partner with internal teams to refine reporting needs and logic.
• Support data quality, consistency, and documentation.

Skills

Data analytics

Stakeholder management

Communication

Analytical thinking

Tools

SQL

Excel

Tableau

Power BI

Python (nice-to-have)

Job description

• Produce reports, dashboards, and analyses for business teams
• Query and validate data using SQL in a relational database
• Build and maintain Excel models and reporting files
• Partner with internal teams to refine reporting needs and logic
• Support data quality, consistency, and documentation
  

Qualifications

• 4+ years in data, BI, or analytics roles
• Strong SQL and advanced Excel skills
• Experience with BI tools (e.g., Tableau, Power BI)
• Background in financial services preferred
• Ability to connect data outputs to business use cases
• Comfortable in lean, high-ownership environments
• Strong communication and stakeholder management
• Nice to have: Python and exposure to AI tools