Job Role : Advanced Data Analyst
Salary : Rs 7,25,000 per year.
Location : Hyderabad, Telangana
Company : Honeywell
Qualifications : Bachelor’s degree
Experience : 2-3 Years
ABOUT HONEYWELL
Honeywell International Inc. Is a multinational conglomerate with a various portfolio that consists of aerospace, constructing technology, performance materials, and safety solutions. Founded in 1906, the employer is based in Charlotte, North Carolina.Honeywell designs and manufactures products ranging from aircraft engines and avionics to smart building structures and private defensive system. It serves diverse industries along with aerospace, automobile, power, and production, aiming to decorate performance, safety, and sustainability.
With a sturdy consciousness on innovation, Honeywell invests considerably in research and development to pressure advancements in technology. The enterprise is likewise dedicated to sustainability, looking for to reduce its environmental impact through eco-friendly answers and practices. Honeywell operates globally, leveraging its good sized knowledge and sources to address complex demanding situations and enhance great of existence for human beings round the world.
Job Description
An Advanced Data Analyst at Honeywell is answerable for studying complicated records sets to drive business insights and choice-making. This role involves growing information models, utilizing advanced statistical techniques, and creating visualizations to talk findings. The perfect candidate need to have sturdy proficiency in records evaluation gear, programming languages like Python or R, and experience with large datasets. The role also calls for collaboration with cross-purposeful teams to make certain information-pushed strategies align with Honeywell’s business goals and final goals.
Qualifications and Skills For a Advanced Data Analyst:
Educational Background:
- A bachelor’s or grasp’s diploma in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline.
Technical Skills:
- Proficiency in Data Analysis Tools: Advanced abilities in gear inclusive of SQL, Tableau, Power BI, and Excel for records manipulation and visualization.
- Programming Languages: Expertise in programming languages including Python, R, or comparable, for records analysis and automation tasks.
- Statistical and Analytical Techniques: Deep understanding of statistical techniques, predictive modeling, system learning algorithms, and statistics mining techniques.
Experience:
- Relevant Experience: Several years of revel in in records analysis, preferably inside an industrial or technology- centered surroundings.
- Project Management: Experience in managing and turning in complicated information-pushed tasks on time and inside scope.
- Domain Knowledge: Familiarity with Honeywell’s industry-particular facts desires and operational processes is high-quality.
Analytical Skills:
- Problem-Solving: Ability to tackle complex issues with progressive solutions and to investigate huge volumes of facts to extract actionable insights.
- Attention to Detail: Precision in records analysis and ensuring the accuracy and integrity of records.(Advanced Data Analyst)
- Business Acumen: Strategic thinking to align data insights with business targets.
Communication Skills:
- Reporting and Visualization: Skilled in creating clear and compelling statistics visualizations and reviews to provide findings to stakeholders.
- Cross-Functional Collaboration: Ability to efficaciously talk technical facts to non-technical stakeholders and work collaboratively across departments.
Business Acumen:
- Strategic Thinking: Understanding of the way facts insights can influence business method and operational enhancements.
- Decision Support: Ability to provide actionable recommendations that align with Honeywell’s business targets.
- Analytical Skills: Strong trouble-fixing skills, attention to element, and revel in with complicated facts.
- Communication Skills: Proficient in growing statistics visualizations, reporting, and cross-purposeful collaboration.(Advanced Data Analyst)
Additional Skills:
- Data Engineering: Knowledge of information warehousing, ETL procedures, and statistics integration can be useful.
- Software Tools: Experience with information engineering systems and cloud-based totally analytics gear (e.G., AWS, Azure) is a plus.
- Continuous Learning: A commitment to staying updated with the latest enterprise traits, technologies, and nice practices in facts analytics.
- Additional Skills: Familiarity with records engineering, cloud analytics tools, and dedication to ongoing getting to know.
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