Position: Senior Data Analyst – Data Discovery & Analytics

Location: Pune or Bangalore or Hyderabad

Work Mode: Hybrid- Need to work 2-3 days from Office

We are seeking a highly analytical and technically strong Senior Data Analyst to drive data discovery, business analysis, and insights across enterprise data platforms. The ideal candidate will bridge the gap between business and technology teams, transforming complex business requirements into scalable data solutions that support strategic decision-making.

Key Responsibilities

- Lead data discovery sessions with business stakeholders to understand requirements, identify data sources, and define analytical solutions.
- Analyse large, complex datasets to uncover trends, patterns, risks, and opportunities that drive business value.
- Perform root cause analysis and deep-dive investigations to support strategic initiatives and critical business decisions.
- Partner closely with Data Engineering, Software Engineering, Architecture, and Product teams to design scalable and reliable data solutions.
- Define business rules, data mappings, data lineage, and source-to-target transformations to ensure high-quality data delivery.
- Drive metadata management, data governance, and data catalog adoption through platforms such as Databricks .
- Collaborate in the design and validation of data pipelines built on modern cloud-based data platforms.
- Establish and monitor KPIs, performance metrics, and reporting frameworks to measure business outcomes.
- Ensure data quality, consistency, and accuracy through reconciliation, validation,



and impact assessment activities.
- Create clear documentation, including business requirements, data dictionaries, STTM documents, data lineage, and process flows.

Required Skills

- Strong experience in Data Discovery, Business Analysis, and Data Analytics .
- Hands-on experience with Databricks , Delta Lake, and up-to-date data platforms.
- Experience with Datahub , metadata management, data cataloguing, and data lineage.
- Advanced SQL skills with the ability to work on large-scale enterprise datasets.
- Good understanding of data engineering concepts , data modelling, ETL/ELT processes, and data architecture principles.
- Experience defining business metrics, KPIs, and analytical frameworks.
- Strong stakeholder management and communication skills with the ability to engage both business and technical teams.
- Experience working in Agile delivery environments.

Preferred Qualifications

- Exposure to cloud data ecosystems (Azure, AWS).
- Knowledge of data governance, master data, and data quality frameworks.
- Experience supporting enterprise-wide analytics and digital transformation initiatives.

Ideal Candidate Profile: A strong communicator with hands-on Databricks and Datahub experience , capable of leading data discovery, collaborating with engineering teams, and translating business problems into scalable data solutions. This role requires a blend of analytical thinking, technical expertise, and stakeholder engagement rather than traditional reporting or Excel-focused analysis.

📌 Senior Data Analyst – Data Discovery & Analytics (Pune)
🏢 APRIDEN
📍 Pune