Key skills
PythonSQLTableauMachine LearningData EngineeringAnalyticsLookerBIPower BICommunication
About this role
Role Overview
- Design, build, and maintain scalable data models, datasets, and analytical solutions , with a strong focus on correctness, performance, and reusability.
- Write, review, and own production‑quality SQL and Python code used in data pipelines, transformations, and analytical workflows.
- Partner closely with data engineering and platform teams to influence data architecture, modeling standards, and tooling choices.
- Ensure analytics solutions are built on well‑architected, trusted, and well‑governed data foundations.
- Lead the development of high‑impact dashboards, metrics, and analytical products that support strategic and operational decision‑making.
- Translate complex business problems into clear analytical approaches , data models, and technical solutions.
- Apply advanced analytical techniques (e.g., predictive analytics, statistical modeling, machine learning where appropriate) to identify trends, risks, and opportunities.
- Drive automation and standardization of reporting and analytics workflows to reduce manual effort and improve scalability.
- Hire, mentor, and develop a team of analysts, setting a strong technical bar and fostering hands‑on skill growth.
- Provide technical guidance through code reviews, design discussions, and modeling best practices.
- Work directly with business stakeholders to align analytics solutions to business outcomes, while maintaining strong technical rigor.
- Contribute to analytics roadmaps and prioritization, balancing near‑term delivery with long‑term architectural health.
Requirements
- 8+ years of experience in data analytics, data engineering, or related technical roles, with demonstrated hands‑on delivery.
- Strong experience designing data models (e.g., dimensional, semantic, or analytical models) that support scalable analytics.
- Advanced proficiency in SQL and Python; comfort owning and maintaining complex analytical codebases.
- Experience working closely with data engineering teams on data pipelines, architecture, and platform design.
- Deep understanding of analytics and BI concepts, with experience using tools such as Power BI, Tableau, Looker, or similar.
- Proven ability to translate ambiguous business problems into well‑designed technical solutions.
- Strong communication skills, with the ability to explain technical concepts to both technical and non‑technical audiences.
Tech Stack
- Python
- SQL
- Tableau
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities