Sr IT Analyst
About the Role
Honeywell Sundyne is seeking a Senior IT Business Analyst for its Pune office. This global role connects business teams with IT across enterprise applications, business processes, data, reporting, and analytics. The analyst will understand complex business issues, explain them in clear, practical language, and convert them into well-defined business and project requirements. The role coordinates stakeholders, priorities, solution design, testing, implementation, and support across global business applications while also contributing to the Data & Analytics roadmap.
Key Skills for This Role
Full Job Posting
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.
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.
Responsibilities
- 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.
- 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.
- 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.
About Honeywell
Honeywell is a global industrial technology company that provides products, software and solutions for building, process and industrial automation. Its technologies help customers improve safety, productivity, energy efficiency and operational reliability.
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