Data Science - Freelance

Requirements

• Education & Experience
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• Minimum 2–4 years of experience developing BI dashboards or reporting solutions.
• Proven experience using Metabase for dashboard development and business reporting.
• Technical Skills
• Strong proficiency in SQL, including writing and optimizing complex analytical queries.
• Solid understanding of Data Warehouse concepts and analytical data structures.
• Experience working with ClickHouse or other analytical databases.
• Strong knowledge of data aggregation, filtering, grouping, joins, and calculated metrics.
• Understanding of dashboard design principles, data visualization best practices, and user experience.
• Experience performing data validation and reconciliation to ensure reporting accuracy.
• Ability to translate business requirements into effective dashboards and analytical reports.
• Familiarity with dashboard performance optimization and query tuning.
• Experience working within structured software development projects using defined timelines and requirements.
• Soft Skills
• Strong analytical thinking and problem-solving skills.
• Excellent attention to detail with a focus on data accuracy.
• Good communication and stakeholder collaboration skills.
• Ability to manage multiple reporting requests and meet project deadlines.
• Proactive mindset with a continuous improvement approach.
• Key Responsibilities
• Develop and maintain interactive dashboards and reports using Metabase.
• Write, optimize, and maintain complex SQL queries to support dashboard and reporting requirements.
• Connect and retrieve analytical data from ClickHouse using the native ClickHouse driver.
• Design and build various data visualizations, including tables, charts, KPI cards, trend analysis, comparisons, and summary reports.
• Create dashboards that align with business and financial reporting requirements.
• Implement filters, parameters, drill-down capabilities, and interactive dashboard features.
• Ensure dashboard data accurately reflects defined business rules and calculation logic.
• Perform data validation and reconciliation between dashboards and source data.
• Optimize dashboard performance through SQL tuning and visualization improvements.
• Troubleshoot issues related to queries, data accuracy, and dashboard visualizations.
• Collaborate with Backend/Nexus Developers, Data Engineers, and Business/Finance Analysts to deliver reliable reporting solutions.
• Support User Acceptance Testing (UAT), defect resolution, and dashboard deployment to production.