Sr Data Analyst

algoleap is hiring a Sr Data Analyst in Hyderabad, Telangana, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• ‒ Review property, availability, tenancy and comp data as it moves through the Bronze, Silver and Gold layers, and flag quality issues before they reach downstream users
• ‒ Build data validation checks, including AI-assisted checks such as anomaly detection, that catch bad data automatically rather than after the fact
• ‒ Standardize CRE data fields, such as property type, rent type, rate type and lease structure, so the same term means the same thing across every source system
• ‒ Define and track data quality metrics, including completeness, consistency, accuracy, timeliness and duplication rate, and report them to stakeholders on a regular cadence
• ‒ Investigate discrepancies between internal systems, external data feeds and source documents, and trace root causes back to the pipeline stage that introduced them
• ‒ Analyze property, availability, tenancy and comp data to surface patterns: vacancy trends, rent growth, tenant turnover, lease expirations and comparable sales activity
• ‒ Translate findings into business insights for brokers, researchers and leadership: build dashboards, write clear summaries and answer ad hoc questions
• ‒ Partner with data engineers and AI engineers on upstream fixes, so quality issues get solved at the source, not patched downstream
• ‒ Document data lineage, transformation logic and quality rules, so the team can audit and reproduce every number
• ‒ Recommend AI and machine learning approaches to automate data validation work: anomaly detection, deduplication, document classification and similar

What they are looking for

• What You Bring
• ‒ 6+ years of experience as a data analyst, ideally in commercial real estate, financial services or another data-heavy industry
• ‒ Strong SQL skills and hands-on experience with Snowflake or a comparable cloud data warehouse
• ‒ Experience with a Medallion (Bronze, Silver, Gold) or similar layered data architecture
• ‒ Experience applying AI or machine learning to data quality work: anomaly detection, entity resolution, document extraction or similar
• ‒ Comfort working with property, availability, tenancy and comparable sales (comps) data, or the ability to learn the domain quickly
• ‒ Proficiency with a business intelligence (BI) tool such as Power BI or Tableau, and Python for analysis and automation
• ‒ Experience with a data catalog or data governance tool

Pay and dates

The listing does not state pay. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “2 weeks ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Sr Data Analyst at algoleap. We found this listing via linkedin.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.