Sr. Data Analyst - Transport
New
Based in United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6–8 years
- Required Skills
- PythonSQLETLPostgresPandasMicrosoft ExcelData visualizationData modelingdbtLooker
Requirements
- 6–8 years of experience in data analytics, data science, or a similar individual contributor role using modern programming and analytics tools.
- Strong proficiency in Python (especially Pandas), SQL, and experience working with dbt/Postgres-based data systems.
- Proven experience building ETL pipelines, dashboards, and data visualizations that support business and customer decision-making.
- Demonstrated ability to communicate complex analytical concepts clearly to both technical and non-technical audiences, including clients.
- Strong problem-solving skills with the ability to define requirements, prioritize needs, and navigate ambiguity effectively.
- Experience delivering high-quality analytics work at a fast cadence in a dynamic or startup environment.
- Curiosity about complex systems (such as claims or transportation workflows) and a strong desire to continuously learn and improve.
- Ability to work independently while collaborating effectively across cross-functional teams.
Responsibilities
- Work hands-on with modern data stacks including Python (Pandas), SQL, Postgres/dbt, Looker, and Excel to build, analyze, and maintain scalable data workflows.
- Lead customer-facing analytical discussions, translating complex datasets into clear insights and actionable recommendations.
- Develop, optimize, and maintain reporting systems, ETL processes, and data models to support evolving customer and business needs.
- Tackle ambiguous, open-ended analytical problems, helping define the right questions and solutions where none are pre-defined.
- Produce high-quality written documentation, specifications, and analytical outputs to communicate findings clearly across teams.
- Collaborate closely with engineering, product, and operations teams to improve data infrastructure and decision-making frameworks.
- Influence analytical culture and best practices within a fast-growing, evolving technical organization.
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