Senior Data Analyst

Full-time - Senior

New City, NY

About the position

The Senior Data Analyst will be responsible for creating customer-facing dashboards that deliver business insights tailored to each customer’s requirements. This role involves developing custom ad-hoc reports that are sent to customers on a scheduled basis, determining the content of these reports, and deciding on the best delivery channels for ease of access based on customer requests. The analyst will also provide training to customers on how to navigate the reporting packages, highlighting which metrics to focus on and explaining how these metrics are defined and calculated. Additionally, the analyst will build, review, and audit data systems and data storage to ensure compliance with SOC2, HIPAA, and other relevant standards. The role requires building and maintaining pipelines to transform production data into reporting data through data extraction and cleansing using Python and SQL. Furthermore, the analyst will build and maintain relationships with client data and business teams, managing proactive data reviews to understand client reporting needs and developing key performance indicators and reports that allow clients to measure the success of products. Conducting research, building industry relationships, and attending relevant seminars/sessions/conferences to stay updated on the latest trends and developments in analytics and AI for relevant industries is also a key responsibility to ensure that data products remain relevant and impactful.

Responsibilities

• Create customer-facing dashboards to deliver business insights specific to each customer’s requirements.
• Develop custom ad-hoc reports sent to customers on a scheduled cadence, determine reporting content and decide on best delivery channel for ease of access based on customer request.
• Provide training to customers on how to navigate the reporting packages, which metrics they should pay attention to, and explain how metrics are defined and calculated.
• Build, review, and audit data systems and data storage to ensure compliance with SOC2, HIPAA, and other relevant standards.
• Build and maintain pipelines to transform production data into reporting data through data extracting and cleansing using Python and SQL.
• Build and maintain relationships with client data and business teams, including managing proactive data reviews to understand client reporting needs and develop key performance indicators and reports that allow clients to measure success of products.
• Conduct research, build industry relationships, and attend relevant seminars/sessions/conferences to build understanding of latest trends and developments in analytics and AI for relevant industries.

Requirements

• Must have a Bachelor's degree in Computer Science, Medical Science or a related field.
• Four (4) years of experience in any occupation which includes the required experience and skills.
• In lieu of a U.S. Bachelor’s degree, employer will accept a three (3) year foreign Bachelor of Science degree in Computer Science, Medical Science or in a related field.
• 4 years of experience utilizing SQL to maintain data pipelines, create data repositories, and create ad-hoc reports.
• 4 years of experience utilizing ETL tools, such as FiveTran or DBT, to build and maintain data pipelines.
• 4 years of experience utilizing data visualization tools, such as Tableau, Mode, or PowerBI, to build reports and dashboards for use by internal users and customers.
• 4 years of experience using data warehousing tools, such as PostgreSQL or Redshift.
• 2 years of experience utilizing Python to create ad-hoc data-based queries and reports.