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Advanced Data Analyst

Job in Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listing for: Honeywell
Full Time position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

Job Description | GBS Finance – Transformation

Job Title:

Advanced Data Analyst Role Purpose

The Advanced Data Analyst is responsible for delivering high-quality analytics solutions that enable data-driven decision-making across the organization. This role combines technical expertise, business understanding, and stakeholder collaboration to design, develop, and support dashboards, reports, and data models. The role acts as a trusted analytics partner, ensuring solutions are aligned with business objectives, governed by strong data quality standards, and remain stable and scalable post deployment.

Experience
  • 4+ years of experience in data analytics, reporting, or BI development
  • Experience working in a GBS/shared services environment is preferred
  • Proven track record of delivering end-to-end analytics solutions
Key Responsibilities and Skills
  • AI Prompting – Leverage AI to accelerate development and ensure high-quality, end-to-end delivery from development to deployment. Familiarity with AI tools for analytics automation and solution development.
  • Data Analysis & Modeling – Analyze and interpret data, generate insights, and support data-driven decision-making. Strong SQL, data modeling techniques.
  • Data Visualization & Reporting – Develop dashboards and reports to effectively communicate business insights using Power BI.
  • Data Engineering & Transformation – Prepare, clean, and transform data for analytics; build scalable datasets using data transformation techniques and understanding of data warehousing.
  • Data Quality & Governance – Ensure accuracy, consistency, and reliability of data through validation and governance practices. Data validation methods; data quality frameworks.
  • Stakeholder Management – Engage stakeholders, gather requirements, and ensure alignment on deliverables and outcomes using communication and requirement-gathering tools/methods.
  • Process Improvement – Identify inefficiencies and implement improvements to enhance analytics delivery using process optimization approaches, workflow tools.
  • Change Management – Support adoption of new solutions through stakeholder coordination and communication. Change tracking and communication practices.
Education
  • Bachelor’s or Master’s Degree in Data Analytics, Computer Science, Engineering, or a related discipline.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectionate or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

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