Senior Data Analyst (Full Stack)
Blacklane
Seniority
Senior
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
As a Senior Data Analyst (Full Stack) at Blacklane, you will play a pivotal role in driving our data-led strategies, turning complex data into meaningful insights that shape business decisions. You will design and maintain dashboards, reports, and visualizations, partner with cross-functional teams to address their data needs, and perform advanced analyses. Your commitment to data quality and accuracy will be essential, as will your ability to clearly communicate findings and help steer the strategic direction of our data division within the engineering department.
What you'll do
- Analyze complex datasets to identify trends, patterns, and actionable insights
- Perform advanced statistical analyses and predictive modeling to inform strategic decisions
- Design, build, and maintain dashboards, reports, and data visualizations to monitor key metrics
- Take ownership of our data transformation layer, applying data modeling techniques (using dbt) to convert raw data into valuable analytical assets
- Partner with cross-functional teams to understand business objectives and translate them into clear data requirements
- Uphold data integrity and accuracy through thorough validation and rigorous quality checks
- Build deep expertise in specific business domains (such as Product, Marketing, Operations, or Sales) to serve as a trusted advisor to stakeholders
- Clearly communicate findings and recommendations to stakeholders at all levels
What you'll need
- Senior level experience (4+ years) in data analytics, with expert-level proficiency in SQL and dbt
- Proficiency in data visualization tools (e.g., Tableau, Metabase, Looker)
- Strong analytical and problem-solving skills with the ability to interpret complex datasets
- Strong project management skills: highly organized, self-driven, and experienced in owning large-scale analytical projects
- Excellent communication and presentation skills

