- Gather data from several sources, including databases, spreadsheets, and APIs.
- Clean and validate data to ensure accuracy and consistency.
- Transform raw data into a suitable format for analysis.
- Use statistical techniques and data mining tools to analyze data and identify trends, patterns, and anomalies.
- Develop and implement data quality checks to maintain data accuracy and integrity.
- Conduct ad-hoc analysis to address specific business questions and support decision-making.
- Create visually appealing and informative data visualizations, such as charts, graphs, and dashboards.
- Maintain regular reports to track goals and metrics.
- Collaborate with team members to understand their reporting needs and tailor report accordingly.
- Follow data governance procedures to ensure data security and privacy.
- Stay up-to-date with industry's best practices and latest data technologies.
Requirements
- Bachelor's degree in computer science, Statistics,
Mathematics, Engineering or a related field.
- Fluent English is a must-have.
- Min 2 years of experience in Data analysis.
- Analytical skills.
- Proficiency in data analysis tools (e.g., SQL, Python, R, Power BI, Tableau).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of data warehousing and data modeling concepts.
- Relevant experience is supporting a sales organization with working knowledge of systems and tools like Anaplan, Microsoft Dynamics or Salesforce.
Hard Skills
- data analysis
- data cleaning
- data validation
- statistical techniques
- data mining
- data visualization
- data quality checks
- data warehousing
- data modeling
- analytical skills