Data Analyst

About Us

Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We enable clients to maximize their potential and achieve greater market reach with a wide array of technology services, including Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of Things (IoT). Founded in 2004 and headquartered in Houston, TX, USA, Techwave leverages expertise in Digital Transformation, Enterprise Applications, and Engineering Services to help businesses accelerate growth. We foster a culture of growth and inclusivity, challenging our team at every step and providing opportunities to excel.

About the Role

The Data & Analytics function is dedicated to designing and delivering robust global data platforms that enable business solutions and high-quality analytics. As a Data Analyst, you will interpret and analyze data from complex sources like ERP, HCM, and CRM to support data-driven decision-making. This role ensures the accuracy, integrity, and usability of information within the organization’s Data Lakehouse. You will focus on requirements translation, source-to-target mapping, dimensional modeling support, ELT/ETL validation, testing, and data quality.

Working closely with Business teams, Data Architects, and Engineers, you will transform business processes into well-structured, secure, and reliable data models and pipelines. This enables the Data Lakehouse to serve as a trusted foundation for analytics, reporting, and AI products.

Responsibilities

• Work closely with business stakeholders to gather, validate, and clarify data and reporting requirements.
• Translate business needs into detailed functional and technical requirement documents.
• Develop comprehensive Source-to-Target Mapping (STTM/STM) documents capturing field-level data logic.
• Create detailed Business Rules, Data Definitions, and Data Transformation documentation.
• Perform complete data lineage analysis across Snowflake, APIs, upstream sources, and reporting layers.
• Assist in data modeling and design aligned with Medallion architecture (Bronze/Silver/Gold layer separation).
• Conduct data profiling, validation, and reconciliation using Snowflake SQL.
• Work with REST API data integrations, including reading API specifications, understanding payloads, and mapping to Snowflake tables.
• Collaborate with data engineers, ETL/ELT developers, and QA to ensure accurate interpretation of requirements.
• Support UAT and resolve data-related gaps through iterative testing and validation.
• Mentor and guide more junior team members.

Skills

• Proven experience with programming languages such as SQL and Python for data validation, profiling, reconciliation, and analytics.
• Strong hands-on Snowflake experience, including:
  • Ability to construct and optimize complex SQL queries.
  • Variant/JSON parsing.
  • Schema and stage understanding.
  • Performance analysis and troubleshooting.
• Working experience in Medallion Architecture (Bronze, Silver, Gold data layers), including mapping data flows across layers.
• Proven experience with API-based data ingestion (REST APIs, JSON/XML).
• Ability to interpret API documentation and create field mappings for Snowflake ingestion.
• Experience building Source-to-Target mapping documents and transformation rules.
• Strong understanding of data lineage, metadata traceability, and impact analysis.
• Experience writing BRDs, FRDs, mapping documents, and business rule specifications.
• Effective communication skills with the ability to work directly with business stakeholders.
• Excellent analytical and problem-solving skills.

Qualifications

• Bachelor of Science (BS) in Computer Science or Information Systems (or equivalent work experience).
• 5+ years of Data Analyst or Business Data Analyst experience in enterprise data environments.
• Preferred: Experience in professional services, accounting industry, or client service/consultative technology roles.
• Experience with ETL/ELT tools (Informatica, DBT).
• Experience with BI/reporting tools (Power BI, Tableau, Excel).
• Experience with data modeling methodologies (Dimensional modeling, Data Marts, Data Warehousing, Star/Snowflake schema).
• Familiarity with cloud data platforms (Azure, AWS, GCP).
• Exposure to API testing tools (Postman, Swagger).
• Agile/Scrum delivery exposure.

Location: Hyderabad