Lead Data Analyst

Lead Data AnalystWe are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners, and community. Our goal is to enable employees to dream, grow, and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values-driven organization. You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry, and community.Role: Lead Data AnalystLocation: Atlanta, GA (Hybrid)Job Type: 3 to 6 Months contract to hireJob ResponsibilitiesDesign and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics.Develop secure, high-quality production code and data pipelines on Databricks, reviewing and debugging processes implemented by others.Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications and implement the right ER Model with right fact and dimension tables.Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput.Implement data quality checks and validation processes to ensure accuracy and reliability of data.Cloud FunctionsDesign and implement end-to-end data solutions using Databricks Pipelines and Azure Data Lake Storage (ADLS), Azure Databricks.Develop, monitor, and maintain scalable data pipelines to support analytics and data science projects.Understand and perform Data Integrity checks and Data Quality checks. Research and utilize Databricks test suites and make them absorbed into data ecosystem.Utilize Azure Databricks to perform complex data transformation, aggregation, and machine learning tasks.Assist with designing the architecture and workflow for an Enterprise Data Lakehouse in Databricks who wish to build their own Data MartsRequired Knowledge, Skills, & Abilities:Understanding of reporting and/or visualization tools (e.g., Tableau, SSRS, SQL Server)Knowledge of a variety of technologies, data models, and insights across all relevant data sourcesUnderstanding of Governance principlesUnderstands concepts like data mining, extraction, and analysis as it pertains to a specific bank pillar (e.g., Commercial, Retail, Wealth)Analytical and critical thinking skillsAbility to quickly shift between technology stacksAbility to mentor and train team membersStrong verbal and written communication skills