Senior Data Analyst

As a Data Analyst, you will harness the power of data to drive informed decision-making and strategic initiatives. Your responsibilities include collecting, cleaning, analyzing, and visualizing data, ensuring its accuracy and relevance to provide actionable insights. Your expertise will transform raw data into meaningful information, supporting business goals and maintaining data governance and compliance.

Key Responsibilities -

As a Data Analyst, you will play a crucial role in driving data-informed decisions and strategies.

Your main responsibilities include:

• Gathering accurate and complete data from various sources.
• Cleaning and preprocessing data to prepare it for analysis.
• Applying statistical methods to uncover trends, patterns, and correlations.
• Creating visual representations of data to effectively communicate insights.
• Generating regular and ad-hoc reports summarizing analysis results.
• Writing SQL queries to extract and manipulate data.
• Ensuring compliance with data governance policies and regulations.
• Using analytical skills to address business challenges with data-driven solutions.

This position requires a keen analytical mindset, strong technical skills, and a proactive approach to problem-solving. If you are passionate about leveraging data to drive business success, we encourage you to apply.

Skills Required -

Mandatory

1. Data Collection: Gather data from various sources and ensure its accuracy and completeness.

2. Data Cleaning and Preprocessing: Prepare data for analysis by identifying and correcting errors, handling missing data, and transforming data formats as needed.

3. Data Analysis: Apply statistical methods and tools to interpret data and uncover trends, patterns, and correlations.

4. Data Visualization: Create visual representations of data (charts, graphs, dashboards) to communicate findings effectively.

5. Reporting: Generate regular and ad-hoc reports to stakeholders, summarizing analysis results and insights.

6. Database Querying: Write SQL queries to extract and manipulate data from databases.

7. Problem-Solving: Use analytical skills to address business questions and challenges using data-driven approaches.

8. Tools and Technologies: Utilize software tools such as Excel, SQL, Python, R, Tableau, Power BI, etc., to conduct analysis.

9. Data Governance: Ensure compliance with data governance policies and regulations regarding data handling and protection.

Desirable -

1. Data Pipeline Development: Create and maintain efficient pipelines to collect, process, and transfer data.

2. Data Integration: Integrate data from various sources into a cohesive system while ensuring quality and reliability.

3. Database Management: Manage and optimize databases (SQL and NoSQL) for performance and scalability.

4. Data Modeling: Design and maintain data models for databases and data warehouses.

5. ETL (Extract, Transform, Load): Develop processes to transform raw data into usable formats for analysis.

6. Data Architecture Design: Collaborate on designing data systems that meet business needs and support analytics.

7. Data Security: Implement policies and measures to protect data and ensure compliance.

8. Performance Optimization: Monitor and optimize data systems for efficiency and scalability.

9. Data Quality Management: Ensure data accuracy, completeness, and consistency.

10. Cloud Platforms (GCP): Utilize cloud services for building and deploying data solutions.

11. Automation and Orchestration: Automate data pipelines and infrastructure management.

Qualifications -

• B.Tech in Data Science or related streams from premier institutions
• Experience: Proven expertise 6+ years
• Good communication and interpersonal skills
• Ability to thrive in a fast-paced and high-performing environment.
• Self-starter who can operate autonomously in a dynamic environment by being well organized and detailed oriented.
• Ability to work with cross-functional teams to understand data needs and provide insights to support decision-making.
• Drive to Stay updated with industry trends and advancements in data analysis techniques and tools.
• Able to work with teams, document processes, and provide technical support.

Please note - We are looking for immediate joiner and interested candidates can share their cv at anjali.tyagi@mpslimited.com