Salary
≈ $15k – $30k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 8+ years exp
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 30, 2026. Honeywell scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Founded in 1906, Honeywell is a major multinational conglomerate specializing in aerospace, industrial automation, building safety, and performance materials. Headquartered in Charlotte, North Carolina, the Fortune 100 enterprise develops advanced hardware and software solutions designed to enhance operational efficiency, safety, and sustainability. Through its diverse business segments, the company serves commercial aviation, defense, energy, and manufacturing sectors worldwide.
Backed by Global Brain, Gryphon Investors, Branford Castle Partners
Key Responsibilities
Global Business Applications & Business Analysis
- Partner with global business and IT stakeholders to understand objectives, processes, application needs, pain points, and operational challenges.
- Analyze complex business issues and explain them in clear, non-technical language for business leaders, users, and project teams.
- Translate business needs into well-defined project scope, business requirements, user stories, process flows, functional specifications, acceptance criteria, and implementation plans.
- Coordinate cross-functional stakeholders, technical teams, vendors, and application owners from discovery through delivery and support.
- Lead workshops, solution reviews, business QA, user acceptance testing, change readiness, and implementation activities.
- Identify opportunities to simplify processes, improve applications, strengthen controls, and increase operational efficiency.
Business Applications, Intelligence & Analytics
- Support and improve global business applications and integrations across functions such as finance, sales, supply chain, manufacturing, service, and operations.
- Design, develop, and support Power BI dashboards, reports, scorecards, KPIs, and executive reporting using DAX, Power Query, drill-through, bookmarks, and interactive visualizations.
- Build and support multidimensional and tabular models using the Microsoft SQL Server BI stack, including SSIS, SSRS, and SSAS.
- Use SQL to curate, query, and analyze large datasets; create custom views and convert raw data into actionable insights.
- Develop analytical models, data-mining solutions, and AI/ML initiatives; assess new data sources and techniques.
- Test, optimize, reconcile, and support deployed dashboards, scripts, cubes, datasets, and recurring reports.
Data Engineering, Governance & Support
- Design, develop, document, and maintain data warehouse, ETL, integration, migration, and transformation processes.
- Maintain data models, mappings, dictionaries, specifications, algorithms, parameters, data flows, and transformation documentation.
- Ensure data quality, confidentiality, integrity, traceability, availability, security, and appropriate sensitivity controls.
- Advance Master Data Management and data governance practices across systems and datasets.
- Manage and coordinate the support queue for business applications, data, BI, reporting, SharePoint, and Power Automate requests.
- Recommend improvements to enterprise applications and BI platforms and contribute to the global Business Applications and Data & Analytics roadmaps.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Statistics, Business Analytics, Data Analytics, Engineering, or a related field.
- 8+ years of experience across IT business analysis, enterprise applications, business process improvement, project delivery, data, reporting, or analytics.
- Experience supporting global business applications and coordinating requirements, priorities, testing, implementation, and support across business and technical teams.
- Ability to break down complex business problems, communicate them in plain language, and convert them into clear, actionable project requirements.
- 3+ years of hands-on Power BI experience, including dashboards, data visualization, DAX, and Power Query.
- Advanced SQL skills and experience with relational and dimensional modeling, data warehouses, ETL, and data integration.
- Experience with requirements management, process mapping, functional specifications, user stories, acceptance criteria, business QA, and user acceptance testing.
- Strong analytical, communication, presentation, and collaboration skills, with the ability to manage multiple priorities in a global environment.
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