Data Insight Analyst

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE TYPE: None

TRAVEL: No

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is seeking a Data Insight Analyst for our Program Management Analytics Team within our Insights and Intelligence Solutions organization.  The person hired into this role will sit in our Falls Church, VA location but we may also consider part or full-time remote as well.   

Insights and Intelligence Solutions is a team of data scientists, behavioral research scientists, insight analysts, data engineers, and technologists who use science to drive insight and data strategy within the business. As a member of Program Management Analytics, you will be responsible for guiding the organization with strategic analysis and providing meaning behind data.   

As an analyst, you will be curious, detail-oriented, and ethically conscious. You seek to ask questions about people, the business, and how we can use data to find solutions. You are a strategic thinker that can translate data to create well-informed people decisions to enable better business outcomes. You want to drive positive change for our people, are candid and collaborative in taking on our most difficult analytics projects as well as the process and culture changes that accompanies them. You will collaborate across the enterprise and business to uncover data-driven insights to solve business challenges across the talent life-cycle and enable transformational change. 

Responsibilities will include, but are not limited to: 

• Creating strategic analysis by forming a structured hypothesis, identifying patterns in data using quantitative methods, and deriving insights that drive decision making. 

• Driving projects from initial concept through deployment, leveraging opportunities for automation. 

• Synthesizing and communicating results for executive audiences by capturing meaningful insights and takeaways from data. 

• Working directly with a wide range of stakeholders, including executive leaders to understand organizational needs and business questions. 

• Translating these questions into an analytical framework to form testable hypotheses. 

• Partnering with analytics organizations to drive digital transformation strategy throughout sector functions and objectives. 

Your work will involve: 

• Creating data visualizations using common visualization capabilities (R or Python libraries, Tableau, Cognos, Planisware Explorer, PowerBI etc). 

• Using scripting languages like SQL to integrate, wrangle, and manipulate large datasets. 

• Using statistical computing languages like R Studio to perform analysis and visualization. 

• Using lightweight markup languages like Quarto Markdown to craft insights and strategic analysis. 

• Leveraging basic version control practices to publish your work internally. 

This role can be filled at either a level 2 or 3 depending on the qualifications below.  

Basic Qualifications: 

• Level 2: Bachelor’s degree with 2 years of related experience OR a Master’s degree.

• Level 3: Bachelor’s degree with 5 years of related experience OR a Master’s degree with 3 years of related experience.

• Ability to extract and manipulate data from databases using SQL and write custom queries. Familiarity with common table expressions and building views. 

• Ability to apply quantitative and statistical approaches to answer questions using data. 

• Proficient using an object-oriented programming language (e.g., Python) to conduct analysis and create visualizations. 

• Proficient in data visualization using Tableau or similar visualization tool. 

• Experience in executive data storytelling, building compelling, concise, and insightful presentations to co