Analyst- Data Science and Advanced Analytics
Raytheon Technologies Corporation (RTX) (company site, opens in a new tab)0–2 yrsBengaluruOn-siteDirect career pageEst. 7–12 LPA
Posted on 17 Sept
Reach people at Raytheon Technologies Corporation (RTX)
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Raytheon Technologies Corporation (RTX) you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, deploy, and maintain interactive dashboards and reports (e.g., Power BI) to drive data-driven decisions and improve business performance.
- Develop and manage data flows and pipelines for efficient reporting and analytics solutions.
- Collaborate with stakeholders to translate business needs into analytics insights, including data storytelling and presentations for non-technical audiences.
Minimum Requirements
- Eligible to work in India.
- Bachelor’s degree in data science, analytics, business intelligence, statistics, computer science, software engineering, or a related field; Master’s degree in a related field.
- 0-2 years of experience in data science or related analytics roles.
- Proven programming skills in Python, Spark, and SQL; familiarity with Databricks, Power BI, Azure DevOps, Git, and Confluence.
Ideal Candidate Profile
- Experience working within Agile and DevOps methodologies and disciplined software engineering practices (e.g., automated testing, code reviews).
- Comfortable collaborating in multidisciplinary teams across operations, digital technology, and business units in a hybrid work environment.
- Ability to communicate complex data insights effectively to non-technical stakeholders and support forecasting or optimization with statistical/machine learning techniques.