Junior/ Senior Data Analyst

13 hours ago

Chennai, India Product Based Company Full time
Must Have Experience in Health care

Job Role and Responsibilities: Data Analyst

Junior Data Analyst (1-2 years of experience)

Job Role:

A Junior Data Analyst is responsible for collecting, cleaning, and analyzing data to help the organization make informed decisions. They are expected to handle data-related tasks using tools like SQL, Python, and Excel, and generate basic reports.

Key Responsibilities:

1. Data Collection and Cleaning:

- Gather data from multiple sources and clean datasets for analysis.- Ensure data integrity and accuracy.

1. Data Analysis and Reporting:

- Perform basic data analysis to identify trends and insights.- Create and maintain dashboards and reports using Excel and Python.

1. SQL Queries:

- Write and execute SQL queries to extract data from databases.- Perform data validation and transformation using SQL.

1. Excel Analysis:

- Use Advanced Excel for data summarization, pivot tables, and formula-based analysis.- Create visual reports and charts to present findings.

1. Collaboration:

- Work with senior analysts and other departments to understand data requirements.- Support ad-hoc data requests and analyses.

Mandatory Skills:

- Proficiency in Python (data manipulation and basic visualization).- Advanced Excel (Pivot Tables, VLOOKUP, IF conditions, charts).- Basic to intermediate SQL (joins, aggregate functions, subqueries).

Senior Data Analyst (3-6 years of experience)

Job Role:

A Senior Data Analyst is responsible for leading data-driven projects, performing complex analyses, and providing actionable insights to stakeholders. They mentor junior analysts and drive the development of advanced reporting solutions.

Key Responsibilities:

1. Advanced Data Analysis:

- Conduct in-depth analyses to solve business problems and recommend solutions.- Perform predictive modeling and trend analysis using Python.

1. SQL and Database Management:

- Write optimized SQL queries for data extraction and manipulation.- Work with large datasets and complex data structures.

1. Visualization and Reporting:

- Design and develop interactive dashboards and reports using Excel and Python-based libraries.- Present insights in a clear and actionable format to stakeholders.

1. Data Quality and Governance:

- Ensure the accuracy, consistency, and reliability of data across all systems.- Implement and maintain data quality frameworks.

1. Mentorship and Leadership:

- Mentor junior team members and review their work.- Drive collaboration between teams and act as a key point of contact for data-related queries.

1. Stakeholder Collaboration:

- Work with management to identify opportunities for process improvement and provide data-backed recommendations.- Collaborate with technical teams for data architecture improvements.

Mandatory Skills:

- Advanced Python (data analysis, visualization, and scripting for automation).- Advanced Excel (macros, VBA, advanced formula usage).- Advanced SQL (stored procedures, optimization, indexing).

Interview Process

1. First Round: SQL Assessment

- Objective: Test proficiency in SQL.- Format: Online assessment.

2. Second Round: Technical Discussion

Evaluate technical skills and practical knowledge.

3. Third Round: HR Face-to-Face Round

Assess cultural fit, communication skills, and discuss compensation.

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