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2 Days ago

Professional, Data Analyst

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Gurugram, Haryana, India
Information Technology
Other
Cotality

Overview

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description

Join the Cotality team working on cutting edge solutions for the industry, with next-gen technology such as cloud native applications, machine learning, artificial intelligence, augmented reality, drones, and more. We are constantly developing innovative solutions that make the real estate ecosystem smarter, more connected and more efficient.

As a Data Analyst – Data Engineering at Cotality, you’ll collaborate within a multi-disciplinary team of analysts, data engineers, data scientists and geospatial analytics. This role offers significant opportunities to learn, innovate, and create high-impact, market-shaping data solutions.

Job Responsibilities

  • Design, build, and maintain data pipelines and ETL workflows using GCP services (e.g., BigQuery, Cloud Storage, Dataflow) and Airflow DAGs.
  • Independently execute complex data engineering and analytic tasks according to established timelines, ensuring reliable and timely delivery of data products and reports.
  • Write, optimize, and maintain complex SQL queries for data extraction, transformation, validation, and performance-tuned analytics.
  • Maintain high-quality documentation for data pipelines, data models, and operational processes.
  • Support internal and external users by analyzing datasets, debugging issues in pipelines, examining logs, and providing accurate, timely responses.
  • Identify, troubleshoot, and resolve production issues related to data pipelines, data quality, and cloud workflows.
  • Perform in-depth data analysis to support operational needs, client inquiries, and project initiatives
  • Create structured datasets, dashboards, or analytical output that conveys trends and insights to business partners and leadership.
  • Recommend and contribute to improvements in data engineering processes, coding standards, monitoring, and automation best practices.
  • Collaborate across teams to support data-driven model performance monitoring and analytics.
  • Provide technical guidance and cross-training to team members when needed.

Job Qualifications

  • Bachelor’s degree required; concentration in Computer Science, Engineering, Mathematics, Statistics, Data Science, or related field preferred.
  • 3+ years of hands-on experience in data analysis, data engineering, or pipeline development.
  • Strong proficiency in SQL, including experience writing complex queries, optimizing performance, and working with large-scale datasets.
  • Experience building and maintaining Airflow DAGs or similar workflow orchestration tools.
  • Experience working in at least one major cloud environment (GCP preferred; AWS or Azure acceptable).
  • Hands-on experience with GCP data services (BigQuery, Dataflow, Cloud Composer, Cloud Storage) is highly preferred.
  • Proficiency in Python for scripting ETL tasks, data transformations, and automation.
  • Experience with DevOps practices, including CI/CD pipelines.
  • Strong understanding of data modeling, data quality validation, and debugging production dataset issues.
  • Experience working with Linux-based environments preferred.
  • Ability to communicate effectively—both written and verbal—with technical and non-technical stakeholders.
  • Demonstrated ability to work collaboratively in a team-oriented environment.
  • Strong attention to detail, ownership mindset, and commitment to delivering high-quality results.

Thrive with Cotality

At Cotality, we’re committed to supporting your whole self-- at work and beyond. Our India benefits package is thoughtfully designed to promote your well-being, financial security, and professional growth. From comprehensive health coverage to flexible leave, retirement planning, and mental health support, we help you thrive every step of the way.

Highlights Include

  • Health & Wellness: Company-paid Mediclaim Insurance, routine dental and vision care (including LASIK and cataract), annual health check-ups, and maternity benefits.
  • Mental Health: Access to 12 free sessions with top therapists and coaches for you and your dependents via Lyra.
  • Leave & Time Off: 11 paid holidays (state-specific), 10 well-being half days, paid sick, maternity, paternity, caregiving, bereavement, and volunteer time off.
  • Family Support: Coverage available for spouse, children, and parents or in-laws; includes maternity and parental leave.

Financial Benefits

  • ₹10,400 annual well-being account
  • ₹15,000 medical reimbursement allowance
  • ₹19,200 conveyance allowance
  • House Rent Allowance with tax benefits

Insurance & Protection

  • Group Term Life and Personal Accident Insurance at 5x annual salary (company-paid)

Retirement & Savings

  • Provident Fund with employer matching
  • Optional National Pension Scheme (NPS) contributions (pre-tax)

Extras: Performance bonuses, recognition rewards, and exclusive employee discounts.

Cotality's Diversity Commitment

Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.

Equal Opportunity Employer Statement

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace.

Please apply on our website for consideration.

Privacy Policy

Global Applicant Privacy Policy

By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.

Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

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