We are looking for an experienced Business Analyst / Data Analyst who can bridge the gap between business and technical teams. The ideal candidate should have strong experience in requirements gathering, SQL, data analysis, data mapping, validation, reporting, and stakeholder management.
Key Responsibilities:
- Gather, analyze, and document business, functional, and data requirements.
- Conduct requirement discussions with business and technical stakeholders.
- Translate business requirements into BRDs, FRDs, User Stories, Use Cases, and Acceptance Criteria.
- Identify gaps, dependencies, assumptions, and requirement changes.
- Analyze data from multiple source systems to identify trends, gaps, and inconsistencies.
- Write SQL queries for data extraction, analysis, validation, and reconciliation.
- Prepare source-to-target data mappings, transformation rules, and business logic.
- Analyze data flows, integrations, and dependencies across systems.
- Support logical and physical data modeling based on business requirements.
- Define and validate data quality and business validation rules.
- Perform source-to-target reconciliation and investigate data discrepancies.
- Gather requirements for reports, dashboards, KPIs, and analytics.
- Work with BI/Data teams to ensure reporting requirements are accurately implemented.
- Support Power BI/Tableau reporting and dashboard validation.
- Prepare UAT scenarios, test cases, and validation criteria.
- Validate data, reports, dashboards, and business rules.
- Coordinate with Developers, QA, Data Engineers, BI teams, and business users to resolve issues.
- Conduct requirement walkthroughs and communicate solutions clearly to technical and non-technical stakeholders.
- Maintain data dictionaries, business definitions, metadata, naming conventions, and data lineage documentation.
- Support data quality, governance, traceability, and auditability initiatives.
Business & Requirement Analysis
Data Analysis & Mapping
Data Quality & Reporting
UAT & Stakeholder Management
Data Governance
Key Skills – Must Have:
- 5–6 years of experience as a Business Analyst / Data Analyst / Business Data Analyst.
- Strong SQL and data analysis skills.
- Experience in data mapping, transformation, validation, and reconciliation.
- Strong requirement gathering and documentation skills.
- Experience with BRD, FRD, User Stories, Use Cases, and UAT.
- Understanding of data models, data flows, databases, and reporting systems.
- Good understanding of Agile/Scrum and SDLC.
- Strong communication, analytical, problem-solving, and stakeholder management skills.
Good to Have
- Power BI / Tableau
- Excel / Power Query / Basic DAX
- Jira / Confluence
- ETL/ELT and Data Warehouse concepts
- API/Integration understanding
- Python/Pandas basics
- Cloud platforms such as Azure, AWS, or GCP
Ideal Candidate
A candidate who can effectively work across the complete lifecycle:
Business Requirement → Data Requirement → Data Mapping → SQL/Data Analysis → Data Validation → Reporting → UAT → Business Sign-off
Work Details:
Work Location: Hyderabad
Work Mode: Hybrid – 3 days per week from office
Working Hours: 2:00PM to 11:00 PM.
Role Type: Contract
Skills Required
- 8+ years of overall IT experience
- Strong hands-on experience with Databricks
- Strong experience with PySpark
- Python experience
- Strong SQL experience
- Experience with Delta Lake or Delta Tables
- Experience with ETL and ELT
- Data engineering experience
- Data modeling experience
- Data architecture and solution design experience
- Data pipeline development experience
- Data transformation and integration experience
- Performance tuning and optimization experience
- Data quality and validation experience
- Strong analytical and problem-solving skills
- Strong stakeholder communication skills
- Recent hands-on experience with Databricks and PySpark
- Experience with enterprise-scale data engineering projects
- Experience designing end-to-end data solutions
- Experience interacting directly with business and technical stakeholders
- AWS or Azure experience
- Azure Data Factory or AWS Glue experience
- Power BI or Tableau experience
- Kafka or streaming experience
- CI/CD and DevOps experience
- Git or Azure DevOps experience
- Databricks Unity Catalog experience
- Data governance, metadata, lineage, taxonomy, or enterprise data standards experience
What We Do
We built Trackmind to be the partner we always wished we’d had. We got our start 10 years ago, designing both physical products and software for leading companies. Along the way, we’ve experienced every possible headache that comes with bringing products to market -- hiring agency after agency, constantly taking three steps forward and two steps back. Our services are intended to simplify and accelerate growth for ambitious companies at different stages in their journey
