Position Overview

We are seeking a detail-oriented Data Analyst who will ensure that organizational data is accurately transformed, validated, and prepared for downstream consumption.

Key Responsibilities

Data Transformation &

- Integration

- Design, develop, and maintain ETL/ELT pipelines to consolidate data from disparate systems (databases, APIs, flat files)

- Apply business logic to normalize, enrich, and standardize incoming datasets

Data Quality Assurance

- Implement validation rules and automated tests to ensure accuracy, consistency, and completeness of data in the unified data store

- Monitor data pipelines for anomalies or failures and initiate corrective actions

Data Completeness &

- Ingestion Oversight

- Identify and flag missing or incomplete records prior to ingestion

- Collaborate with data engineering teams to resolve data gaps and reprocess source feeds as needed

Reporting &

- Analytics Support

- Produce ad-hoc analyses, dashboards, and visualizations to help stakeholders make data-driven decisions

- Translate complex data findings into clear, actionable recommendations

Documentation &

- Governance

- Maintain comprehensive documentation of data models, ETL processes, data definitions, and data lineage

- Contribute to data governance initiatives, including metadata management and glossary upkeep

Process Improvement &

- Automation

- Continuously evaluate and optimize existing workflows for efficiency, scalability, and reliability

- Develop scripts or lightweight tools to automate repetitive data-validation tasks





Cross-Functional Collaboration

- Partner closely with Business Analysts, Data Engineers, and Data Scientists to understand requirements and deliver high-quality datasets

Required Qualifications

- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field

- 8+ years of hands-on experience in data analysis, data engineering, or a similar role

- Proficiency in SQL for data extraction, transformation, and validation

- Experience with ETL/ELT tools or frameworks (e.g., Azure Data Factory, AWS Glue, Apache Airflow)

- Strong analytical mindset with meticulous attention to detail

Preferred Qualifications

- Familiarity with programming/scripting languages such as Python

- Experience with cloud data platforms (AWS, Azure, or GCP) and data warehousing solutions (Snowflake, BigQuery)

- Hands-on knowledge of BI tools (Tableau, Power BI, Looker) for dashboard development

- Understanding of data modeling, normalization, and dimensional design

- Prior exposure to big data technologies (Spark, Hadoop)

Skills &

- Competencies

- Analytical Thinking: Able to dissect complex problems and devise logical solutions

- Problem Solving: Proactively identifies issues and implements corrective measures

- Collaboration: Works effectively across teams to deliver shared objectives

- Adaptability: Thrives in fast-paced environments and embraces current technologies

- Documentation: Champions clear, concise, and up-to-date process documentation

📌 Data Analyst (Noida)
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📍 Noida