Data Analyst

• As a Data Analyst, you will be playing a pivotal role in interpreting data, analysing results, and providing various reports for accounting & financial domain.
• You will work closely with stakeholders to understand their data needs, develop analytical solutions, and present findings in a clear and actionable manner.

Key Responsibilities:

• Data Collection and Analysis:

  Collect, clean, and analyse large datasets using statistical techniques and data visualization tools to identify trends, patterns, and correlations.

• Data Interpretation:

  Interpret data and translate findings into meaningful insights and actionable recommendations for business stakeholders.

• Reporting:

  Develop and maintain dashboards, reports, and data visualizations to communicate insights to stakeholders effectively.

• Data Quality Assurance:

  Ensure data integrity and accuracy by conducting data validation, quality checks, and troubleshooting data-related issues.

• Stakeholder Collaboration:

  Collaborate with cross-functional teams including marketing, finance, operations, and product development to understand their data needs and provide analytical support.

• Documentation:

  Document data analysis methodologies, assumptions, and findings to maintain transparency and facilitate knowledge sharing within the organization.

Skillset Requirements:

• Proven experience as a Data Analyst or similar role, with a focus on data migration and conversion projects.
• Proficiency in MySQL, Excel and PHP for data extraction, transformation, and manipulation.
• Strong SQL skills with the ability to write complex queries for data extraction and
  manipulation.
• Solid understanding of data conversion methodologies, techniques, and best practices.
• Excellent attention to detail and analytical skills, with the ability to troubleshoot and resolve
  data-related issues.
• Effective communication skills with the ability to collaborate and coordinate with cross-
  functional teams.
• Prior experience in any Accounting Financial Projects, Clients or Any such would be a plus.

Bachelor s degree in computer science, Statistics, Information Technology, or related field (or equivalent work experience).