Data Analyst

Inorbit Malls (India) Private Limited
Hyderabad
₹45,000 - ₹65,000 monthly

Fixed

₹45,000 - ₹65,000

Earning Potential

₹65,000

Work from OfficeWork from Office
Full TimeFull Time
Any experienceAny experience
Good (Intermediate / Advanced) EnglishGood (Intermediate / Advanced) English

Job highlights

24 applicants

24 applicants

Benefits include:  Annual Bonus, 5 working days, One-way cab

Benefits include: Annual Bonus, 5 working days, One-way cab

Job Description

About the Role:

Inorbit Malls India Pvt. Ltd. is seeking a detail-oriented and analytical Data Analyst to support business operations through advanced data analysis, reporting, and customer insights. The ideal candidate should possess strong expertise in IBM SPSS, data visualization, statistical analysis, and MIS reporting to help improve mall operations, customer engagement, leasing performance, and strategic decision-making.

Key Responsibilities:

  • Analyze customer footfall, sales trends, tenant performance, and campaign effectiveness using IBM SPSS.
  • Prepare daily, weekly, and monthly MIS reports and dashboards for management review.
  • Conduct statistical analysis, predictive modeling, and trend forecasting to support business growth.
  • Interpret large datasets and generate actionable business insights.
  • Design and maintain data reports for marketing, leasing, finance, and operations teams.
  • Perform customer segmentation, satisfaction analysis, and behavioral analytics.
  • Ensure data accuracy, validation, and consistency across reporting systems.
  • Collaborate with cross-functional teams to identify KPIs and optimize mall performance.
  • Create presentations and analytical reports for senior management discussions.
  • Support automation and process improvement initiatives in reporting systems.

Required Skills:

  • Advanced Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, Power Query)
  • Knowledge of IBM SPSS , SQL and database management
  • Data visualization tools such as Power BI or Tableau
  • Statistical analysis and predictive analytics using IBM SPSS using IBM SPSS
  • Strong analytical and problem-solving abilities
  • Excellent communication and presentation skills

Preferred Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, or related field
  • Certification in IBM SPSS, Data Analytics, or Business Intelligence preferred
  • Experience in retail, mall management, real estate, or customer analytics is an advantage

Key Performance Indicators (KPIs):

  • Accuracy and timeliness of reports
  • Quality of business insights generated
  • Dashboard and MIS efficiency
  • Customer analytics effectiveness
  • Data-driven support for business decisions

Tools & Technologies:

  • IBM SPSS
  • MS Excel
  • Power BI / Tableau
  • SQL


Job role

Work location
Work locationHyderabad, Telangana, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceAny experience
Education
EducationGraduate
Skills
SkillsSQL, Advanced MS Excel, Tableau, Python, Machine learning, SPSS, Data science, Statistical computing
English level
English levelGood (Intermediate / Advanced) English
Age limit
Age limit18 - 40 years
Gender
GenderAny gender

About company

Name
NameInorbit Malls (India) Private Limited
Address
AddressHyderabad, Telangana, India
Job posted by Inorbit Malls (India) Private Limited

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You can expect a minimum salary of 45,000 INR and can go up to 65,000 INR. The salary offered will depend on your skills, experience and performance in the interview.

The candidate should have completed Graduate degree and people who have 0 to 31 years are eligible to apply for this job. You can apply for more jobs in Hyderabad to get hired quickly.

The candidate should have Good (Intermediate / Advanced) English skills and sound communication skills for this job.

Both Male and Female candidates can apply for this job.

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