Power BI & Snowflake Developer

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or related field.
• 7+ years of experience supporting enterprise-level Power BI reporting and Snowflake data platforms.
• Relevant certifications (Power BI Certification, Snowfl

Benefits

Additional Information

Job Summary Synechron is seeking an experienced Power BI & Snowflake Data Analyst/Developer to design, develop, and optimize enterprise-level analytics and reporting solutions. This role involves creating high-quality dashboards, models, and data pipelines that enable data-driven decision-making across the organization. The ideal candidate will possess deep expertise in Power BI, SQL/PLSQL, and Snowflake, collaborating with cross-functional teams to deliver scalable, accurate, and secure business intelligence solutions aligned with organizational goals. Software Requirements Required: Strong hands-on experience with Power BI for creating dashboards, reports, and datasets. Advanced proficiency in SQL and PLSQL for complex query development, optimization, and data manipulation. Extensive experience working with Snowflake for data extraction, transformation, and performance tuning. Knowledge of data modeling concepts, including star and snowflake schemas. Experience integrating Power BI with various enterprise data sources and cloud platforms. Familiarity with ETL/ELT concepts and data pipelines. Skills with data security practices, role-based access, and governance standards. Preferred: Certifications in Power BI, Snowflake, or cloud analytics platforms. Knowledge of Azure or other cloud ecosystems for analytics deployment. Experience with data automation tools, e.g., Data Factory, SSIS. Overall Responsibilities Design, develop, and maintain impactful Power BI dashboards, reports, and datasets to meet business and leadership needs. Build optimized data models using DAX, Power Query, and best practices for data visualization. Write and optimize complex SQL/PLSQL queries to support reporting and analytics requirements. Leverage Snowflake data platform for efficient data extraction, transformation, and data warehouse management. Collaborate with business analysts, data engineers, and stakeholders to understand reporting needs and provide scalable BI solutions. Ensure data accuracy, consistency, security, and performance across all dashboards and reports. Implement and enforce BI governance, standards, and documentation. Continuously seek process improvements, performance optimization, and new features/dataset enhancements. Performance outcomes: High-quality, reliable, and scalable business intelligence solutions that support strategic and operational decision-making with accurate data insights. Technical Skills (By Category) Programming Languages: Essential: SQL (PLSQL, T-SQL), DAX, Power Query Preferred: Python for automation or advanced data manipulation Databases & Data Management: Essential: Snowflake, SQL Server, PostgreSQL, or similar databases Preferred: NoSQL systems (e.g., MongoDB) for additional data integrations Cloud Technologies: Preferred: Snowflake cloud data platform, Azure, AWS for analytics deployment Frameworks & Libraries: Essential: Power BI, DAX, Power Query, SQL Preferred: Azure Data Factory, Dataflows, Python for scripting Development Tools & Methodologies: Essential: Power BI Desktop, SQL Management Studio, Git, Agile/Scrum workflows Preferred: Data pipeline orchestration tools (Azure Data Factory, Prefect) Security & Governance: Understanding of role-based access control, data masking, and compliance standards such as GDPR and HIPAA. Experience Requirements Minimum of 7+ years of experience supporting enterprise BI, analytics, or data engineering initiatives. Proven track record developing and deploying Power BI dashboards and reports for large-scale organizations. Extensive experience working with Snowflake and complex SQL/PLSQL queries. Demonstrated ability to optimize data models and ensure data governance. Experience collaborating with cross-functional teams including business, data engineering, and architecture in Agile environments. Industry experience in finance, healthcare, retail, or enterprise analytics preferred; open to relevant large-scale projects. Day-to-Day Activities Develop and enhance Power BI dashboards, reports, and datasets to meet evolving business needs. Write, optimize, and validate complex SQL/PLSQL queries supporting reporting and analytics. Collaborate with stakeholders to gather requirements and translate them into effective BI solutions. Monitor data quality, improve data models, and implement best practices for security and governance. Support data collection, validation, and ad-hoc analytics requests from users across the organization. Perform performance tuning, troubleshoot issues, and implement enhancements to dashboards and underlying queries. Document architecture, data flows, and standards, ensuring compliance and ease of maintenance.

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