Data Analyst

About The Role : for

Data Analyst (Level 9)

Position Title: Data Analyst

Location: India

Employment Type: Full Time

Must have skills

Data Integration, ETL/ELT Pipelines, Data Visualization


Good to have skills

Cloud-Based Data Architectures, CI/CD Practices for Data Workflows, Python, SQL, Data Governance

Job

Summary

As a

Data Analyst, you will be responsible for designing, developing, and maintaining data pipelines to ensure the continuous and efficient flow of reliable data. You will collaborate closely with stakeholders to gather requirements, cleanse and transform data to meet governance standards, and deliver actionable insights through dashboards and visualizations. This role demands strong technical expertise in ETL/ELT processes, data integration, and analysis, coupled with effective communication skills for bridging technical and business domains.

Roles & Responsibilities

ETL/ELT Pipeline Development

Develop, maintain, and optimize robust ETL/ELT pipelines to facilitate seamless data flow from multiple sources.

Implement best practices around data cleansing, transformation, and loading while adhering to quality and governance standards.

Data Quality & Integration

Cleanse, validate, and integrate diverse data sets to ensure accuracy and consistency across systems.

Monitor data integrity, identifying anomalies and resolving issues in collaboration with relevant teams.

Stakeholder Collaboration

Engage with business users and technical stakeholders to clarify data requirements and translate them into analytical solutions.

Provide regular updates on project status, pipeline performance, and key insights to inform decision-making.

Visualization & Reporting

Design and create dashboards, reports, and data visualizations using tools like Tableau or Power BI.

Present findings in a clear, compelling way that drives data-driven decisions and action.

Performance Monitoring & Continuous Improvement

Continuously track pipeline performance and data accuracy, implementing enhancements as necessary.

Stay informed on emerging trends in data integration, cloud architectures, and CI/CD to recommend improvements to existing workflows.

Professional & Technical Skills

Data Integration & Scripting

Proficiency in SQL for data querying and manipulation, along with solid experience in Python for scripting and automation.

Familiarity with data integration tools (e.g., Informatica, Talend, or similar) and version control systems.

Data Visualization & Reporting

Expertise in creating insightful dashboards and reports using platforms like Tableau, Power BI, or equivalent.

Strong attention to design and usability, ensuring visuals effectively communicate analytical insights.

Analytical & Critical Thinking

Ability to dissect complex data sets and derive actionable insights that align with business objectives.

Meticulous about data quality, applying logical methods to identify and resolve inconsistencies.

Collaboration & Communication

Effective interpersonal skills for interacting with cross-functional stakeholders, translating technical processes into business-friendly language.

Experience in agile or iterative work environments, coordinating tasks and feedback loops efficiently.

Cloud & CI/CD Exposure

Familiarity with cloud-based data architectures (e.g., AWS, Azure, GCP) and containerization technologies is preferred.

Knowledge of continuous integration and delivery (CI/CD) practices for automating data workflows is a plus.

Qualifications

Experience

6+ years in data analysis or related roles


Educational Qualification

Bachelors in Data Science, Computer Science, or a related field