
Data Analyst
2 days ago
Position : Data Analyst.
Location : Remote.
Duration : 6 month contract with extension.
Responsibilities include :
- Contribute in projects relating to client or internal product requirements involving developing or reviewing business specifications followed by testing.
- Extract, analyze, and interpret large datasets to provide actionable insights for business decision-making.
- Utilize statistical techniques and data mining tools to identify trends, patterns, and anomalies.
- Develop and maintain dashboards and reports using tools like Tableau, Power BI, or similar platforms.
- Present complex data in a clear and concise manner to stakeholders across various departments.
- Implement data validation processes to ensure accuracy, consistency, and reliability of data.
- Conduct regular data audits and address data quality issues promptly.
- Work closely with cross-functional teams, including IT, marketing, finance, and product management, to understand their data needs.
- Participate in global project meetings and contribute to strategic planning.
- Create and maintain detailed documentation of data processes, methodologies, and analysis results.
- Ensure documentation is aligned with corporate standards and accessible to global teams.
- Stay updated on emerging data technologies, tools, and industry trends.
- Proactively seek opportunities to enhance data processes, performance, and scalability.
Your skills and experience that will help you excel :
- Strong analytical and problem-solving skills, attention to detail
- Ability to multitask and work under pressure is a must
- Highly developed organizational and interpersonal skills
- SQL and basic UNIX command is an advantage
years of experience as a Data Analyst, preferably within the HR domain.
- Should have a good understanding of HR systems especially Workday; experience and understanding of HR workday data.
- Experience with functional document creation.
- Experience on SQL is a must, with prior experience on snowflake DB a plus.
- Sound analytical and reporting skills combined with excellent communication skills.
- Experience working with Data dictionaries and working with Data Owners/Stewards on Business Glossary etc. on a day-to-day basis.
- Proven ability to work effectively in a global environment with people at all levels, preferably in a professional services organization.
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