Data Analyst
Job Title: Data Analyst
Location: Remote
We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for gathering, analyzing, and interpreting large datasets to provide actionable insights that drive business and technical decisions. This role requires proficiency in data visualization, statistical analysis, and business intelligence tools, as well as a strong understanding of technology trends and their impact on business operations.
Key Responsibilities:
• Collect, process, and analyze large datasets from multiple sources to identify trends and insights.
• Develop and maintain dashboards, reports, and visualizations using BI tools such as Tableau, Power BI, or Looker.
• Work closely with cross-functional teams, including product management, engineering, and business stakeholders, to support data-driven decision-making.
• Utilize SQL, Python, R, or other data manipulation languages to query and transform data.
• Identify opportunities for process improvements and automation within data workflows.
• Monitor key performance indicators (KPIs) and develop predictive models to support business objectives.
• Ensure data accuracy, integrity, and security by implementing best practices in data governance.
• Stay updated with emerging technologies and industry best practices to enhance data analytics capabilities.
Required Qualifications:
• Bachelor's or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, or a related field.
• 4+ years of experience in data analysis
• Proficiency in SQL, Python, or R for data analysis and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong understanding of database management, ETL processes, and data warehousing concepts.
• Ability to translate complex data into clear, actionable insights.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to present findings to both technical and non-technical stakeholders.
Preferred Qualifications:
• Experience working with cloud-based data platforms such as AWS, Google Cloud, or Azure.
• Knowledge of machine learning concepts and statistical modeling.
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
• Experience in agile development environments.
Job Title: Data Analyst
Location: Remote
We are seeking a highly analytical and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for gathering, analyzing, and interpreting large datasets to provide actionable insights that drive business and technical decisions. This role requires proficiency in data visualization, statistical analysis, and business intelligence tools, as well as a strong understanding of technology trends and their impact on business operations.
Key Responsibilities:
• Collect, process, and analyze large datasets from multiple sources to identify trends and insights.
• Develop and maintain dashboards, reports, and visualizations using BI tools such as Tableau, Power BI, or Looker.
• Work closely with cross-functional teams, including product management, engineering, and business stakeholders, to support data-driven decision-making.
• Utilize SQL, Python, R, or other data manipulation languages to query and transform data.
• Identify opportunities for process improvements and automation within data workflows.
• Monitor key performance indicators (KPIs) and develop predictive models to support business objectives.
• Ensure data accuracy, integrity, and security by implementing best practices in data governance.
• Stay updated with emerging technologies and industry best practices to enhance data analytics capabilities.
Required Qualifications:
• Bachelor's or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, or a related field.
• 4+ years of experience in data analysis
• Proficiency in SQL, Python, or R for data analysis and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong understanding of database management, ETL processes, and data warehousing concepts.
• Ability to translate complex data into clear, actionable insights.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to present findings to both technical and non-technical stakeholders.
Preferred Qualifications:
• Experience working with cloud-based data platforms such as AWS, Google Cloud, or Azure.
• Knowledge of machine learning concepts and statistical modeling.
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
• Experience in agile development environments.
