

Data Analyst
Job Title: Data Analyst
Job Type: Contract
Open to all visa types
Key Responsibilities:
• Collect, clean, and analyze large datasets from various sources.
• Develop and maintain dashboards, reports, and data visualizations to present insights to stakeholders.
• Identify trends, patterns, and correlations within data to drive business strategies.
• Work closely with cross-functional teams to understand business needs and provide data-driven recommendations.
• Utilize SQL, Python, R, or other analytical tools to extract and manipulate data efficiently.
• Ensure data integrity and accuracy by implementing best practices for data governance and validation.
• Support ad-hoc data requests and provide insights for business improvement.
• Stay updated with the latest industry trends, tools, and technologies in data analytics.
Required Qualifications:
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in data analysis, business intelligence, or a related role.
• Proficiency in SQL and experience working with relational databases.
• Hands-on experience with data visualization tools (Tableau, Power BI, or similar).
• Strong analytical skills with experience in statistical analysis and data modeling.
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
• Excellent communication and presentation skills to translate complex data into actionable insights.
• Ability to work independently in a remote environment and manage multiple tasks effectively.
Preferred Qualifications:
• Experience working with cloud-based data warehouses (AWS Redshift, Google BigQuery, or Snowflake).
• Knowledge of machine learning concepts and predictive analytics.
• Familiarity with ETL processes and data pipeline development.
• Experience in a specific industry such as healthcare, finance, e-commerce, or technology.
Job Title: Data Analyst
Job Type: Contract
Open to all visa types
Key Responsibilities:
• Collect, clean, and analyze large datasets from various sources.
• Develop and maintain dashboards, reports, and data visualizations to present insights to stakeholders.
• Identify trends, patterns, and correlations within data to drive business strategies.
• Work closely with cross-functional teams to understand business needs and provide data-driven recommendations.
• Utilize SQL, Python, R, or other analytical tools to extract and manipulate data efficiently.
• Ensure data integrity and accuracy by implementing best practices for data governance and validation.
• Support ad-hoc data requests and provide insights for business improvement.
• Stay updated with the latest industry trends, tools, and technologies in data analytics.
Required Qualifications:
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in data analysis, business intelligence, or a related role.
• Proficiency in SQL and experience working with relational databases.
• Hands-on experience with data visualization tools (Tableau, Power BI, or similar).
• Strong analytical skills with experience in statistical analysis and data modeling.
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
• Excellent communication and presentation skills to translate complex data into actionable insights.
• Ability to work independently in a remote environment and manage multiple tasks effectively.
Preferred Qualifications:
• Experience working with cloud-based data warehouses (AWS Redshift, Google BigQuery, or Snowflake).
• Knowledge of machine learning concepts and predictive analytics.
• Familiarity with ETL processes and data pipeline development.
• Experience in a specific industry such as healthcare, finance, e-commerce, or technology.