Advanced Data Analyst

Honeywell Technologies; Bengaluru; On-site; INR 700,000 - 1,300,000; Full time

Job summary

Honeywell Technologies in Bengaluru, Karnataka seeks an Advanced Data Analyst responsible for delivering high-quality analytics solutions that support data-driven decision-making. The ideal candidate should possess strong expertise in data analytics, reporting, and business intelligence.

The chosen individual will be tasked with developing dashboards, reports, and ensuring data quality standards while engaging with stakeholders effectively. A Bachelor’s or Master’s degree in a relevant field is required. This role promises a challenging and rewarding work environment.

Responsibilities

• Strong experience in data analytics, reporting, or BI development.
• Proven track record of delivering end-to-end analytics solutions.
• Experience working in a GBS/shared services environment is preferred.

Skills

Data analytics

SQL

Data visualization

Power BI

Stakeholder management

Process improvement

Education

Bachelor’s or Master’s Degree in Data Analytics, Computer Science, Engineering, or a related discipline

Job description

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 analyst acts as a trusted analytics partner, ensuring solutions are aligned with business objectives, governed by strong data quality standards, and remain stable and scalable after deployment.

Job Title

Advanced Data Analyst

Responsibilities

• Strong 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

Education

• Bachelor’s or Master’s Degree in Data Analytics, Computer Science, Engineering, or a related discipline

Key Responsibilities and Skills

AI Prompting – Proficient – 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 – Proficient – Analyze and interpret data, generate insights, and support data‑driven decision‑making; strong SQL and data modeling techniques.

Data Visualization & Reporting – Proficient – Develop dashboards and reports that effectively communicate business insights; proficient with Power BI.

Data Engineering & Transformation – Proficient – Prepare, clean, and transform data for analytics; build scalable datasets using data transformation techniques and understanding of data warehousing.

Data Quality & Governance – Proficient – Ensure accuracy, consistency, and reliability of data through validation and governance practices; knowledge of data validation methods and data quality frameworks.

Stakeholder Management – Proficient – Engage stakeholders, gather requirements, and ensure alignment on deliverables and outcomes; strong communication and requirement‑gathering skills.

Process Improvement – Proficient – Identify inefficiencies and implement improvements to enhance analytics delivery; knowledge of process optimization approaches and workflow tools.

Change Management – Intermediate – Support adoption of new solutions through stakeholder coordination and communication; track change and communicate practices.