Senior Analytics Engineer

About the Role

We are looking for a Senior Analytics Engineer to help scale and optimize Business Intelligence at Nayya. This role requires a strong technical foundation in data modeling, business intelligence, and data governance while also collaborating with stakeholders to ensure data-driven decision-making.

You will play a key role in managing and optimizing our data warehouse by owning its governance, schema design, documentation, and integration with BI tools. Working closely with product, analytics, and data engineering teams, you’ll help shape a best-in-class data strategy that powers our benefits guidance products.

We are seeking a candidate who thrives in an environment that prioritizes impatience, excellence, resilience, and courage—someone who is excited about making an immediate impact while pushing the boundaries of what’s possible.

Objectives and Responsibilities

• Use business intelligence expertise to build models and strategies that generate actionable opportunities aligned to business stakeholder objectives.
• Oversee data warehouse management, ensuring best practices in data modeling are followed for efficient data storage and retrieval.
• Own data governance, ensuring data is properly structured, documented, and governed across the organization.
• Maintain documentation on data warehouse usage, including how to add data, integrate with BI tools, and optimize performance.
• Design and implement data visualization reporting solutions for business stakeholders to enable delivery of key performance metrics and ensure they are maintainable and scalable to changing business needs.
• Interface with key business stakeholders to ensure data fluency needs are being met and support the adoption of self-service analytics.
• Work closely with cross-functional teams to identify and prioritize business intelligence needs that drive growth and innovation in product development.
• Identify opportunities to enhance and further automate current data collection, visualization, and reporting techniques to better manage the business.
• Contribute to an efficient and effective data architecture that enables us to collect, store, analyze, model and report data for their software solutions and digital platforms.

Required Skills and Qualifications

• 5+ years of experience in business intelligence, data analytics, or analytics engineering.
• Strong experience with Redshift, Snowflake, or similar data warehouses to enable BI needs.
• Deep understanding of data warehouse governance, schema design, environment management, data modeling and transformation
• Expertise in SQL & dbt for data modeling and transformation.
• Hands-on experience developing and optimizing dashboards in Tableau, Looker, Power BI, Qlik, or Sigma.
• Ability to partner with cross-functional teams to deliver innovative data and analytics solutions.
• Mastery in interpreting and presenting data analysis, organized and unstructured data analysis, and data visualization.
• Ability to convert data into usable information and insights that are easy for a non-technical audience to understand.
• Critical thinking skills, plus the intellectual curiosity to question/test assumptions.
• Excellent communication and collaborative skills - able to influence across multiple areas of the business.

Preferred

• Experience with Python & PySpark for automation and advanced analytics.
• Familiarity with data orchestration tools (Airflow, Prefect, etc.).

The salary range for New York based candidates for this role is $140,000- $175,000. We use a location factor to adjust this range for candidates that are located outside of geographic region of our New York office. Placement within the salary band is determined based on experience. 

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