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Location
In office (Hyderabad, Bengaluru)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Weekday scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.
Backed by Y Combinator

This role is for one of Weekday’s clients

Min Experience: 12+ years

Location: Bengaluru, Hyderabad

JobType: full-time

We are looking for an experienced Lead Business Systems Analyst with strong expertise in business systems analysis, enterprise data initiatives, and Azure cloud platforms. The role involves bridging the gap between business stakeholders and technology teams by translating business requirements into clear functional specifications for Azure-based data platforms.

The ideal candidate should have a strong understanding of Azure Data Lake Storage (ADLS), Azure Databricks, SQL, data modelling, data quality, and metadata management, along with the ability to independently drive requirements and ensure alignment between business and technical teams.

Requirements

v, walkthroughs, and presentations with business and technical stakeholders.

  • Ensure effective communication and coordination throughout the data platform development lifecycle.

Must-Have Skills & Qualifications

  • 12-15 years of experience in Business Analysis or Business Systems Analysis.
  • Strong experience working on enterprise data and cloud-based initiatives.
  • Familiarity with Microsoft Azure data services, particularly:
    • Azure Data Lake Storage (ADLS / ADLS Gen2)
    • Azure Databricks
    • SQL
  • Understanding of data modelling and data architecture, including raw, curated, and consumption layers.
  • Experience with data quality management, metadata management, and data governance.
  • Knowledge of KPI definition, data inputs and outputs, and monitoring frameworks.
  • Strong expertise in gathering, analysing, and translating business requirements into functional specifications.
  • Experience preparing BRDs, FSDs, process flows, and other business and technical documentation.
  • Ability to work effectively with business stakeholders, data engineers, architects, and technical teams.
  • Excellent written and verbal communication, stakeholder management, and presentation skills.

Good-to-Have Skills

  • Experience with large-scale enterprise data transformation initiatives.
  • Familiarity with regulatory compliance, audit requirements, and data control frameworks.
  • Exposure to Azure cloud-based data architecture and data engineering processes.
  • Experience working in Agile delivery environments.
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