‒ 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 You Bring

‒ 6+ years of experience as a
data analyst, ideally in commercial real estate, financial services or another
data-heavy industry.

‒ Robust 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.

‒ A track record of building and
improving data quality and validation frameworks, not just running o

📌 Sr Data Analyst (Hyderabad)
🏢 Algoleap Technologies
📍 Hyderabad