- 3+ years as Business analyst or similar experience
- Strong results orientation, with a focus on quality and attention to detail
- Effective time management and prioritization skills
- Excellent verbal and written communication skills and ability to transfer information easily to team members, stakeholders, and sr. managers.
- Demonstrated ability to evaluate and recommend effective, contemporary solutions that align with the Honeywell IT strategy and deliver exceptional user experiences.
- Demonstrated partnership abilities, interpersonal skills, and communication skills to collaborate and coordinate with various business and technical levels/organizations.
- Change agent: Ability to anticipate and execute action plans to proactively manage and drive change in an organization.
- Excellent collaboration & negotiation skills:Ability to understand customer needs, negotiate complex issues and total value offerings to our customers.
- Able to work independently as well as part of a diverse cross-functional team.
- Confident working in multicultural and fast-paced environments.
Data Management Analyst - Gurugram, India - Honeywell
Description
Responsibilities
include:Data Collection: Gather data from multiple sources, including databases, spreadsheets, and external sources.
Data Processing: Clean, organize, and preprocess data to ensure accuracy and consistency.
Data Analysis: Apply statistical techniques and analytical methods to interpret data and extract meaningful insights.
Data Visualization: Create visualizations such as charts, graphs, and dashboards to communicate findings effectively.
Reporting: Generate regular and ad-hoc reports to support decision-making processes across departments
Trend Identification: Identify patterns, trends, and correlations within the data to inform strategic initiatives and business goals.
Predictive Modeling: Develop predictive models to forecast future trends and outcomes based on historical data.
Data-driven Recomendations: Provide actionable recommendations based on data analysis to improve operational efficiency, enhance customer experiences, and drive business growth.
Colloboration: Collaborate with cross-functional teams, including IT, marketing, finance, and operations, to address data-related challenges and achieve business objectives.
Continuous Learning: Stay updated on emerging trends, technologies, and best practices in analytics and data science to enhance skills and capabilities.
YOU MUST HAVE
· Bachelor's degree in statistics, mathematics, computer science, economics, or related field. Master's degree or certification in data analytics or business intelligence is a plus.
· Proficiency in data analysis tools and programming languages such as SQL, Python, R, or MATLAB.
· Experience with data visualization tools such as Tableau, Power BI, or QlikView.
· Strong analytical and problem-solving skills with attention to detail.
· Excellent communication and presentation abilities to convey complex findings to non-technical stakeholders.
· Ability to work independently and collaborate effectively in a team environment.
· Prior experience in analytics, business intelligence, or data-driven decision-making roles is preferred.
WE VALUE