Data Analyst - Remote / Telecommute

• Design, develop, and maintain scalable data pipelines for ingesting, transforming, and storing large datasets across on-premises and cloud platforms.
• Ensure data integrity, accuracy, and availability for analytical and operational use.
• Collaborate with software engineers, data scientists, and business stakeholders to define data requirements and implement solutions.
• Optimize and enhance existing ETL processes and data workflows.
• Implement data governance, security standards, and best practices.
• Manage data storage solutions including data lakes and data warehouses.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop and maintain dashboards, reports, and visualizations using BI tools such as Power BI and Tableau.
• Conduct statistical analysis and modeling to support business decision-making.
• Communicate insights and recommendations clearly to stakeholders.
• Extract, manipulate, and analyze data using SQL and other query languages.
• Develop data models and strategies to improve service delivery and performance tracking.
• Deliver service metrics, dashboards, and analytical outputs aligned with business goals.
• Support Agile teams by promoting data literacy and enabling data-driven decision-making.
• Contribute to continuous improvement initiatives and evolving data strategies.

• Strong expertise in data engineering and analytics concepts, including ETL and data modeling.
• Proficiency in SQL, NoSQL, and data querying techniques.
• Experience with BI tools such as Power BI, Tableau, and data visualization libraries.
• Knowledge of cloud platforms including Azure, AWS, and GCP.
• Experience with SSIS, Azure Data Factory (ADF), and API-based data integration.
• Familiarity with CI/CD pipelines, Git, Docker, Kubernetes, and Infrastructure as Code tools (Terraform, Client, CloudFormation).
• Strong analytical, problem-solving, and communication skills.
• Ability to work collaboratively in Agile environments.

• Bachelor's degree in Computer Science, IT, or a related field.
• 5+ years of experience as a Data Engineer and/or Data Analyst.
• 3+ years of experience in dimensional modeling (star and snowflake schemas).
• 3+ years of experience building dashboards and reports using Power BI, Tableau, DAX, or Python libraries.
• 3+ years of experience in data quality, security, and governance practices.
• 5+ years of experience handling data from on-premises and cloud sources.
• 2+ years of experience with data migrations across environments.
• 2+ years of experience with DevOps practices including CI/CD and containerization.

• Must be able to obtain and maintain required security clearances, including enhanced and potentially higher-level clearances.
• Willingness to comply with background verification and client security requirements.
• Ability to provide project examples demonstrating relevant experience and technical expertise.

• Experience in advanced analytics such as predictive modeling and data mining.
• Experience with Azure Databricks.
• Experience with AI/ML technologies including NLP.
• Experience in public sector or large-scale enterprise environments.
• Proficiency in programming languages such as Python or other scripting languages.

Cynet Systems