Job Summary:

We are seeking a skilled Data Analyst with 2 to 5 years of experience to join our team. The ideal candidate will have expertise in data analysis, ETL processes utilizing tools such as AWS Glue, Redshift, Apache NiFi, Google Cloud Dataflow, Azure Data Factory, or custom ETL pipelines. Proficiency in either Tableau or Power BI for data visualization and familiarity with Big Data tools like Hadoop or Spark is essential. This role focuses on delivering actionable insights to support strategic decisions and enhance business outcomes.

Key Responsibilities:

Data Analysis & Insights:

Perform in-depth analysis of structured and unstructured data to extract trends, patterns, and actionable insights.

Develop and execute statistical and predictive models to solve complex business challenges.

Communicate insights effectively through clear visualizations and storytelling.

Data Visualization:

Design and maintain interactive dashboards and reports using Tableau or Power BI.

Present key metrics and data trends through impactful visualizations tailored to stakeholder needs.

Optimize dashboards for performance and scalability.

ETL & Data Management:

Build and maintain ETL pipelines using tools like AWS Glue, Redshift, Apache NiFi, Google Cloud Dataflow, Azure Data Factory, or custom solutions.

Process, clean, and integrate large-scale datasets from diverse sources.

Collaborate with data engineering teams to ensure data quality, consistency, and efficient workflows.

Big Data Tools:

Utilize tools such as Hadoop, Spark, or Hive to process and analyze large datasets.





Implement best practices for handling and managing big data in cloud environments.

Collaboration & Stakeholder Engagement:

Partner with cross-functional teams (e.g., marketing, finance, operations) to gather data requirements and provide tailored solutions.

Deliver clear and actionable insights to support business objectives.

Process Improvement:

Identify opportunities to enhance data workflows and implement automation where feasible.

Develop and enforce best practices for data integrity and security.

Experience:

2 to 5 years of experience in data analysis, visualization, and ETL processes.

Technical Skills:

ETL Tools:

Hands-on experience with AWS Glue, Redshift, Apache NiFi, Google Cloud Dataflow, Azure Data Factory, or custom ETL pipelines.

Data Visualization:

Proficiency in Tableau or Power BI for creating and optimizing dashboards.

Big Data Tools:

Familiarity with Hadoop, Spark, or Hive for large-scale data processing.

Programming & Databases:

Strong knowledge of SQL for querying and data manipulation.

Familiarity with Python or R for data analysis and automation.

Cloud Platforms:

Experience working with AWS, Google Cloud, or Azure for data storage and analytics.

Soft Skills:

Strong analytical and problem-solving capabilities.

Excellent communication and presentation skills.

Ability to prioritize and manage multiple tasks in a fast-paced environment.

High attention to detail and commitment to accuracy.

Positive to have:

Certifications in tools such as AWS Glue, Tableau, Power BI, or Big Data technologies.

Experience with NoSQL databases like MongoDB or Cassandra.

Knowledge of machine learning techniques and frameworks.

📌 Data Analyst (India)
🏢 HashStudioz Technologies
📍 India