Data Analyst Role at Novel Office:
Join Novel Office as a Data Analyst and play a crucial role in driving data-driven decision-making across our organization. As a Data Analyst, you will leverage your analytical skills to interpret complex data, provide actionable insights, and support strategic initiatives.
Data Analyst Role at Novel Office Details:
Role: Data Science & Analytics – Other
Industry Type: Real Estate (Co-working)
Department: Data Science & Analytics
Employment Type: Full-Time, Permanent
Role Category: Data Science & Analytics – Other
Data Analyst Role at Novel Office Qualifications:
- Educational Background: Bachelor’s, Undergraduate, or Postgraduate degree in a relevant field such as Data Science, Computer Science, Statistics, or a related discipline.
- Data Analytics Certification: Completion of any Data Analytics course certification that demonstrates a solid understanding of data analysis techniques and tools.
- Technical Proficiency: Proficiency in key data analysis tools and languages including Excel, SQL, and Python. Ability to use these tools for data manipulation, querying, and programming.
- Communication Skills: Strong communication skills with the ability to clearly articulate complex data insights and findings to both technical and non-technical stakeholders.
- Experience Level: 0 to 1 year of relevant work experience in data analysis or a related field, with a willingness to learn and adapt to new challenges.
- Gender Requirement: Only male candidates are being considered for this position.
- Shift Timing: Availability to work from 1pm to 9pm, ensuring alignment with operational requirements and project deadlines.
Job Highlights:
- Gender Requirement: This position is open to male candidates only.
- Shift Timing: The role requires working hours from 1pm to 9pm.
- Educational Qualifications: Candidates should hold a Bachelor’s, Undergraduate, or Postgraduate degree in a relevant field.
- Certification: Completion of any Data Analytics course certification is required to demonstrate expertise in data analysis techniques and tools.
Key Skills:
- Communication Skills: Strong ability to convey complex data insights and findings clearly to both technical and non-technical stakeholders. Effective verbal and written communication is essential for collaboration and reporting.
- Excel: Proficiency in Excel for data manipulation, analysis, and visualization. Ability to use advanced functions and formulas to perform detailed data analysis and create reports.
- Analytical Skills: Strong analytical capabilities to interpret data accurately and extract meaningful insights. Ability to assess trends and patterns to support decision-making processes.
- Data Interpretation: Expertise in interpreting data to provide actionable insights. Ability to translate raw data into comprehensible reports and recommendations.
- Problem Solving: Skilled in identifying data-related issues and implementing effective solutions. Strong problem-solving skills to address challenges and optimize data processes.
- Data Analysis: Proficiency in analyzing large datasets using various techniques to identify trends, correlations, and anomalies.
- Data Collection: Experience in collecting and organizing data from various sources to ensure completeness and accuracy.
- Reporting: Ability to create and present detailed reports and dashboards that summarize key findings and support business objectives.
- SQL: Proficiency in SQL for querying and managing databases. Ability to write complex queries to extract and analyze data.
- Python: Proficiency in Python for data analysis, including using libraries such as Pandas and NumPy for data manipulation and analysis.