Berkadia is Hiring Associate Data Research Analyst | Hyderabad | 0 - 3 Years

Job Description

Berkadia's Associate Data Research Analyst opening is a genuinely accessible entry point specifically for candidates interested in commercial real estate data and market research — a distinctive domain not commonly covered on this site. Berkadia is a joint venture between Berkshire Hathaway and Jefferies Financial Group, operating across commercial real estate services (multifamily, retail, office, industrial, hotels, and more), meaning this role supports data operations for a genuinely large, established financial/real estate services company.

Worth flagging clearly upfront: this role has a specific split shift — 3:00 PM to 12:00 AM (midnight) — stated directly in the posting, not a vague "rotational shifts" description. This is a fixed, evening-into-night schedule likely aligned with US business hours given Berkadia's real estate market focus (commercial real estate research often ties to US market data). Worth being fully clear with yourself about comfort with this specific schedule before applying, since it's stated as a defined term of the role, not something that varies.

The role's core work is research and data quality, not analysis or reporting in the typical BI sense — you'd be conducting research on commercial real estate companies, performing data cleansing/standardization tasks (fuzzy matching, linking, mapping), and improving data accuracy within Berkadia's data management platform. This is closer to a research analyst/data quality specialist function than a typical "data analyst" role building dashboards — worth understanding this distinction, since the work is more manual research and data curation than statistical analysis or visualization.

Our Take:

Good for: any bachelor's degree holder (genuinely broad eligibility — CS, IT, MBA, or others) with strong attention to detail, MS Office proficiency, and comfort with the specific 3 PM-12 AM shift, interested in commercial real estate or data quality/research work
Not ideal for: those seeking a typical BI/analytics role building dashboards and visualizations, or unable to commit to the fixed evening-night shift
Selection difficulty: likely moderate — the broad degree eligibility widens the pool, but genuine research experience with real estate databases (LoopNet, CoStar, LexisNexis, Yardi) would be a real differentiator given how specialized and uncommon this specific database familiarity is
Career trajectory: commonly leads into Senior Data Research Analyst, Data Quality Lead, or Data Governance Analyst roles, with genuine commercial real estate domain knowledge being valuable for future roles in real estate finance, PropTech, or data governance functions specifically

Compensation Context: Berkadia hasn't disclosed pay for this role. Associate Data Research Analyst roles at commercial real estate services companies in Hyderabad typically range around ₹3.5–5.5 LPA for freshers, based on general market data for comparable entry-level data research/quality roles — this is an estimate only, and the detailed benefits package mentioned (free transportation, family medical insurance, wellness programs) is worth factoring into total compensation value.

Application Strategy: Since the listing specifically names real estate research databases (LoopNet, LexisNexis, Yardi, Axio, CoStar) as valuable experience, even brief self-directed exploration of any of these platforms' free/demo resources before applying would be worth mentioning; and given the emphasis on data quality tasks like fuzzy matching and data standardization, any coursework or project involving data cleaning would be directly relevant to highlight, even if not real-estate-specific.

Roles & Responsibilities

The responsibilities center on hands-on data research and quality improvement work supporting Berkadia's data platform, under close collaboration with a team lead.

- Conduct data research on companies in the commercial real estate industry

- Create and modify information in the data management platform based on research findings

- Review datasets to enhance data quality through fuzzy review, linking, mapping, cleansing, and standardization

- Work closely with the team leader to ensure timely, accurate data research

- Identify patterns and trends to improve data quality and integrity
Create reports/datasets to communicate research findings to stakeholders

Qualifications & Eligibility

Genuinely broad academic eligibility, with a wide experience range similar to a few other listings covered.

- Any bachelor's degree (CS, IT, MBA, or others all qualify)

- 0–3 years of experience in Data Collection, Data Research, Data Analysis, or Data Entry

- Split shift: 3:00 PM to 12:00 AM (fixed, stated term of the role)

Skills Required

Core requirements emphasize accuracy, MS Office proficiency, and communication; specialized real estate database experience is a notable differentiator.

- Proficient in MS Office (Excel, PowerPoint, Word)

- Strong attention to detail and data quality understanding
Advanced Excel, SQL, or Power BI knowledge (valuable, likely differentiating)

- Research experience on real estate databases (LoopNet, LexisNexis, Yardi, Axio, CoStar) — valuable, specialized

- Excellent communication and collaborative working style