Data Analyst

4 weeks ago


india MWIDM Staffing Services Full time

Job Title : Data Analyst (Contractual)

Location : Pan India (Hybrid Work Model)

Experience : 8+ Years

About the Role :

We are seeking a highly skilled and experienced Data Analyst to join our team on a contractual basis.

The ideal candidate will have a strong foundation in data warehousing, data modeling, and data analysis techniques.

This role requires a blend of technical expertise and analytical skills to extract meaningful insights from complex datasets.

Key Responsibilities :

- Analyze business requirements and translate them into effective data solutions.

- Design and develop data models, including dimensional and Data Vault 2.0 models.

- Conduct data profiling, data quality assessments, and data cleansing activities.

- Perform data analysis and generate insightful reports and visualizations.

- Develop and maintain ETL/ELT pipelines using Azure Data Factory.

- Extract, transform, and load data from various sources into data warehouses (Snowflake).

- Optimize data pipelines for performance and scalability.

- Work with relational and cloud databases (MS SQL Server, Oracle, Snowflake).

- Write and optimize complex SQL queries and PL/SQL scripts.

- Leverage DevOps tools (Octopus, Jenkins, GitLab) for CI/CD and automation.

- Implement and maintain data pipelines and processes using automation techniques.

- Effectively communicate technical concepts to both technical and non-technical audiences.

- Collaborate with cross-functional teams to deliver data-driven solutions.

Required Skills :

- Strong understanding of data warehousing concepts and data modeling techniques.

- Expert-level skills in PL/SQL scripting.

- Experience with Azure Data Factory.

- Good working experience with relational/cloud databases (MS SQL/Oracle/Snowflake).

- Proficiency in Python scripting.

Good to Have Skills :

- Data Vault 2.0 experience(Trainable)

- Experience with data visualization tools (Power BI, Tableau).

- Knowledge of cloud computing platforms (Azure, AWS, GCP).

- Experience with Agile methodologies

(ref:hirist.tech)
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