Senior Data Analyst

As a Senior Data Analyst, you will use your skills to

• Create, build, and manage highly scalable and efficient data pipelines for processing and integrating data from various internal and external sources.
• Design and maintain data infrastructure to support high-volume data processing, ensuring reliability, scalability, and performance to contribute significantly to the company's success.
• Collaborate closely with cross-functional teams, including Data Science, Product, and Engineering, to understand their data requirements and deliver robust solutions, emphasizing the need for solid communication and collaboration skills.
• Conduct data profiling, cleansing, and transformation to ensure data accuracy, integrity, and availability across systems.
• Identify opportunities to automate data processes and optimize existing pipelines to improve performance and reduce costs.
• Develop and maintain detailed documentation for data pipelines, data models, and workflows, ensuring alignment with industry best practices and company standards.
• Contribute to developing internal tools and frameworks that enhance data accessibility and usability across the organization.
• Support data governance initiatives by ensuring compliance with data quality standards and contributing to data stewardship efforts to maintain the integrity and reliability of our data.
• Stay abreast of the latest technologies and industry trends, continuously improve data engineering practices within the team, and cultivate a culture of continuous learning and growth.
• Develop and implement optimized data models for data warehouses and data marts to meet the needs of analytics and reporting teams.
• Drive operational excellence through a metrics-driven approach.

You will come to the Endpoint with

• 5+ years of Python expertise: Specializing in data engineering tasks like building, optimizing, and automating data pipelines. Proficiency in essential Python libraries and frameworks for data processing.
• Code quality & efficiency: Focus on writing clean, maintainable, and efficient Python code with strong practices in error handling, logging, and performance optimization for scalable solutions.
• 5+ years of SQL experience: Advanced skills in SQL, including performance tuning.
• Cloud platform proficiency: Extensive experience with AWS, GCP, or Azure, using Python to automate and optimize cloud infrastructure operations, including resource provisioning, security management, and cost control.
• Data pipeline development: Proven ability to design and maintain scalable, high-performance data pipelines, utilizing tools like Prefect and dbt alongside Python.
• Technical leadership: Ability to work closely with cross-functional teams to translate complex business needs into effective technical solutions, leveraging Python for impactful, data-driven decision-making.
• Data orchestration: Experience in orchestrating ETL and reverse ETL processes using Python, with experience in tools like Prefect, Airflow, and Dagster to design complex data workflows.
• Reliability & scalability focus: Commitment to ensuring the reliability and scalability of data systems through proactive monitoring, logging, and alerting, driven by Python solutions.
• Data modeling & warehousing: Strong understanding of designing efficient data models and managing data warehouses, particularly on platforms like Snowflake, Big Query, and Redshift.

Nice to have

• Hands-on experience with DBT for data transformation and modeling, enhancing the efficiency and maintainability of data workflows.
• Experience with BI tools like ThoughtSpot, enabling you to support the creation of impactful data visualizations and self-service analytics.
• Familiarity with implementing and managing Data Catalog tools to organize and govern data assets across the organization.

Why work at Endpoint?

• You’ll join a fast-growing company where you can make an impact.
• You’ll work alongside industry experts and the brightest minds in tech to transform an industry.
• We foster a vibrant, welcoming, and inclusive company culture.
• You’ll be entrusted with responsibility and autonomy in your day-to-day work.
• You’ll have opportunities to advance your career from within or for internal mobility.
• Customizable benefits including Health, Dental, Vision, and 401K Match
• Flexible work options for specific roles
• Virtual and in-person team events
• We offer competitive compensation; Base pay is one part of your total compensation package in addition to annual bonus. This role pays between $125,000 and $170,000, and your actual base pay will depend on your skills, qualifications, and experience.