Technical Operations and Data Analyst

The Data Analyst plays a crucial role in supporting the data analysis needs of the organization. This position is designed for individuals who are starting their careers in data analytics and are eager to learn and grow within the field. The Data Analyst will work closely with senior team members to develop their skills and contribute to the organization’s data-driven decision-making processes.

The primary objective of the Data Analyst is to assist in collecting, analyzing, and reporting data. This role aims to provide accurate and actionable insights that support the organization’s strategic initiatives. The Data Analyst will focus on building foundational skills in data analytics while contributing to various data projects.

• Collect, clean, and transform data from diverse sources (BigQuery, PostgreSQL, MongoDB) using Python libraries such as Pandas, Polars, and NumPy to prepare datasets for analysis.
• Design robust data models and analytics workflows to support reporting in BigQuery and visualizations in Tableau.
• Write efficient and reliable SQL queries in PostgreSQL and MongoDB to extract and transform complex datasets.
• Collaborate closely with data analysts, product managers, and engineering teams to understand data needs and deliver trusted data products.
• Apply domain knowledge of healthcare, HIPAA compliance, and patient data privacy in all data engineering practices.
• Optimize performance, data quality, and reliability of pipelines handling large-scale healthcare data.
• Document data sources, transformations, and analytical workflows to ensure reproducibility and transparency.

• Support senior analysts in building KPIs, metrics, and dashboards, ensuring consistency in reporting across the organization.
• Use Python (Pandas, Polars, NumPy) for advanced data wrangling, outlier detection, and exploratory data analysis.
• Ensure data integrity and accuracy by following established data governance and company security protocols in handling data.
• Assist in developing and maintaining documentation for data analysis processes and methodologies.
• Participate in training sessions to enhance data analysis skills and knowledge.
• Contribute to team meetings and provide input on improving data-related processes.
• Support Customer Success and Sales teams with reporting and dashboard needs.
• Assist Customer Success in organizational setups and user management tasks.
• Investigate and resolve bugs, ensuring smooth operation of data processes.

• Strong experience with PostgreSQL and Python, especially using Pandas for data manipulation.
• Hands-on experience working in the Google Cloud Platform (GCP) ecosystem, particularly with BigQuery and Cloud SQL.
• Familiarity with MongoDB and unstructured/semi-structured healthcare data.
• Solid understanding of HIPAA regulations and best practices for handling patient data securely.
• Experience building or supporting dashboards and reports in Tableau.
• Strong problem-solving and communication skills, with an ability to work independently in a fast-paced, collaborative environment.
• Prior experience working in the healthcare domain is strongly preferred.

• SMART metrics are defined and given to new hires during the first few weeks and are targeted to be achieved and reviewed by the 3rd month appraisal. There will be annual performance reviews.
• Training materials, including process documents and videos, are provided.
• Walkthroughs and additional support are available when needed.
• The Technical Manager, with the assistance of senior team members, will be the primary point of contact during the training period.

• Equity in a series A startup
  
• Healthcare and vision
• Fully Remote
• Salary Range of 85-105k

The Data Analyst position offers opportunities for career growth and development. With the right mentorship and training, a Data Analyst can progress to more senior roles within the data analysis field, such as a Senior Data Analyst or Data Scientist.