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    Sr Finance Analyst - bangalore, India - Honeywell

    Honeywell
    Honeywell background
    Description

    Responsibilities

    :
  • Interpret, validate, and refine business rules and logic to align with engagement objectives, ensuring technical perspectives support business strategies.
  • Assess data for accuracy, completeness, and relevance, produced by the Data Engineering, Data Science, and Business Intelligence teams, with a focus on application integration within engagement platforms.
  • Develop, track, and report key performance indicators (KPIs) to effectively gauge and communicate the performance of engagement strategies and project progress.
  • Administer Smartsheet and Jira to optimize new project onboarding, workflows, and notifications for the Engagement Team, enhancing project management and communication.
  • Develop quick prototypes using tools such as Excel and PowerApps to demonstrate engagement concepts and solutions to stakeholders and internal teams, providing tangible previews of projects.
  • Champion the adoption of self-service analytics tools within the organization, empowering team members to conduct their data analyses and enhance decision-making capabilities.
  • Conduct analyses, such as pipeline efficiency and trend analysis, to provide strategic insights that support the Engagement Team's objectives.
  • Qualifications:

  • Bachelor's or Master's degree in Data Analytics, Statistics, Computer Science, or a related field.
  • Proficiency in project management tools and advanced data analysis software.
  • Experience:

  • A minimum of 5 years of experience in a data analysis role, with a strong focus on engagement or customer relationship management.
  • Demonstrated expertise in managing multiple data-centric projects and driving them to successful completion.
  • Essential Skills:

  • Exceptional verbal and written communication skills.
  • Ability to thrive in a fast-paced, dynamic work environment.
  • Strong analytical and problem-solving skills.
  • Proficiency in Excel and familiarity with databases, OLAP, and data cube technology.
  • Strong programming skills in Python, particularly in data transformation and analysis.
  • Desired Skills:

  • Proficiency in data visualization tools such as Power BI and Tableau.
  • A customer-centric mindset with a commitment to understanding and meeting the needs of stakeholders.

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