Johnson Controls Recruitment Drive; Hiring Data Analyst – Apply Now

Data Analyst Job Openings in Pune 2025!!!

Johnson Controls announced job vacancy for the post of Data Analyst. The place of posting will be at Pune. Candidates who have completed Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company	Johnson Controls
Required Qualifications	Graduate
Skills	Excel, Python, R, Power BI, Tableau
Category	Information Systems
Work Type	Onsite

Johnson Controls is seeking a detail-oriented Data Analyst with 1 to 3 years of experience to join our analytics team in Pune. The successful candidate will be responsible for collecting, analyzing, and interpreting data to support decision-making processes and drive business improvements.

Θ Positions: Data Analyst

Θ Job Location: Pune

Θ Salary: As per company Norms

Θ Job Type: Full Time

Θ Requisition ID: WD30237250

Required Skills & Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• 1-3 years of experience in data analysis or a related role.
• Strong proficiency in SQL and experience with data analysis tools (e.g., Excel, Python, R).
• Familiarity with data visualization tools (e.g., Power BI, Tableau).
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong communication skills to present findings to stakeholders effectively.

Preferred:

• Experience working in a fast-paced environment and ability to manage multiple tasks.
• Knowledge of machine learning techniques is a plus.
• Ability to work collaboratively within a team and across departments.

Responsibilities:

• Gather and process data from various sources to support business analysis and reporting.
• Utilize statistical techniques to analyze data and identify trends, patterns, and anomalies.
• Create and maintain dashboards and reports to facilitate data-driven decision-making.
• Collaborate with cross-functional teams to understand business requirements and deliver actionable insights.
• Assist in the development and implementation of data collection systems and other strategies to optimize statistical efficiency and data quality.
• Perform ad-hoc analyses to identify opportunities for process improvement.

 

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