Senior Data Informatics Analyst: Power BI & Data Automation

Saab, Inc.; New York (NY); On-site; USD 92,000 - 115,000; Full time

Benefits offered by this job

Medical, vision, and dental insurance

Generous paid time off

401(k) with employer contributions

Tuition assistance

Wellness resources

Employee stock purchase opportunities

Disability coverage

Job summary

Saab, Inc. is seeking a Senior Data Informatics Analyst to generate ad hoc reports and datasets, and to develop end-user information portals.

The role focuses on integrating data from multiple sources to deliver accurate insights and govern data quality. Responsibilities include building interactive Power BI dashboards, designing semantic data models, writing Python scripts for automation, and crafting advanced SQL queries, in partnership with Sales, Operations, and Finance.

Qualifications

• Bachelor’s degree in a quantitative field with 8+ years of experience, or a master’s with 6+ years.
• 3+ years hands-on Power BI dashboarding, data models, and publication.
• 2+ years Python for data analysis, automation, and scripting.

Responsibilities

• Design, publish, and maintain Power BI reports and dashboards.
• Model data and optimize semantic data models and data flows.
• Write Python scripts for data cleaning, API integration, and automation.
• Write and optimize complex SQL queries from relational databases.
• Collaborate with Sales, Operations, Finance to gather requirements and KPIs.
• Troubleshoot data refreshes and ensure data accuracy and security.

Skills

Power BI dashboards

Python scripting

SQL querying

DAX & Power Query

Analytical mindset

Data modeling

Education

Bachelor’s degree in Computer Science, Information Technology, Data Science, or related quantitative field; 8+ years experience or Master’s; 6+ years

Tools

Power BI

Power BI Desktop

Power BI Service

PostgreSQL

SQL Server

Snowflake

Pandas

NumPy

requests

Job description

Saab, Inc. is seeking a Senior Data Informatics Analyst to generate ad hoc reports and datasets, and to develop end-user information portals.

The role focuses on integrating data from multiple sources to deliver accurate insights and govern data quality. Responsibilities include building interactive Power BI dashboards, designing semantic data models, writing Python scripts for automation, and crafting advanced SQL queries, in partnership with Sales, Operations, and Finance.