Data Analyst

Company Name:

Department:

Office Location:

Designation:

Job Type:

Job Level:

Industry:

Roles & Responsibility:-

Data Collection and Processing

• Source data from various internal and external sources such as client reports, surveys, databases, and online platforms.
• Clean, structure, and organize data for analysis, ensuring its quality and accuracy.

Data Analysis and Interpretation

• Conduct detailed data analysis using statistical and analytical methods to identify trends and patterns relevant to consulting projects.
• Interpret data findings to provide actionable insights and recommendations to support client objectives.

Report Generation and Visualization

• Create data-driven reports, presentations, and visualizations to communicate analysis finding effectively to both technical and non-technical audiences.
• Use data visualization tools such as Tableau, Power BI, or similar platforms to create insightful charts and graphs as per projects needs.

Collaboration with Consulting Teams

• Partner with consulting teams to understand project goals and data requirements, providing analytical support throughout project lifecycles.
• Assist with data-driven strategy development and decision-making for client engagements.

Research and Benchmarking

• Conduct research and benchmarking studies to compare client performance with industry standards.
• Provide data-driven insights to guide strategic recommendations for clients.

Data Quality Assurance

• Develop and maintain data documentation, including methodologies, data sources, and analytical processing discrepancies as needed.

Project Management and Documentation

• Manage data-related aspects of projects, ensuring timely delivery and alignment with internal team and client expectations.
• Document analysis processes and findings for future reference and knowledge sharing within the team.

Preferred Candidate Profile:-

Education:

Who Can Apply:

Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills, both written and verbal.
• Ability to work independently and as part of a team.
• Time and Task management skills.

Tools to Use:

• MS Office
• SQL, Python (with relevant libraries)
• Tableau
• Power BI