Advanced Business Analyst (Data Analysis with Business Analytics)

About the Role:

advanced analytics

You will work on key strategic analytics activities in Carriers aftermarket business, ensuring timely execution and profitable contribution to top-and-bottom-line financial performance.

Key Responsibilities:

• Innovate by designing and developing advanced analytical tools and models to support strategic initiatives
• Utilize data analytics tools to analyze price actions, market trends, and customer behavior
• Track, analyze, and maintain Power BI dashboards to report business KPIs
• Coordinate strategic pricing initiatives with internal domestic and international business units
• Identify opportunities for revenue growth and cost optimization through data analysis
• Prepare and present analytical findings and recommendations to senior management and key stakeholders
• Stay updated on industry trends, best practices, and emerging technologies
• Continuously assess and refine analytical methodologies to improve the accuracy and relevance of insights.

Required Qualifications:

• Bachelors degree in

  Data Analytics, Mathematics, Business, or a related field; advanced degree preferred

• 10years to 15 + total experience of with 3+ years of experience in Business analytics; proficiency in data analysis, statistical modeling, and data visualization

• Financial literacy: ability to understand and analyze financial statements
• Strong logic and critical thinking skills to problem-solve
• Excellent skills in Microsoft applications:

  Power BI

  , Excel, and PowerPoint
• Highly motivated to make an impact in the organization - action and results-oriented individual.

Preferred Qualifications:

• Knowledge of B2B pricing strategies and tactics
• Experience with advanced statistical models: Machine Learning
• Competitive analysis and customer segmentation skills
• Ability to work and resolve complex problems
• Cross-functional collaboration, negotiation, problem-analysis, and resolution skills

• Python programming

  (data wrangling & ML)
• Comfortable working in a global role and a dynamic environment
• Have a professional presence and ability to communicate at all levels.