Full-Time Senior Data Manager

The ideal candidate will have:

• Ability to interact with business and IT departments in understanding user needs
• Able to translate the business needs to technical requirements in terms of data needs
• Be self-motivated and possess the ability to manage multiple priorities and meet deadlines.
• Possess the capacity to maintain confidentiality and work independently.
• Identifies opportunities for process improvements
• Coordinates with other teams to ensure all aspects of data needs are taken into account.
• Coordination and completion of projects on time and within scope
• Prepare data for reporting and analysis including visualizations to support business requirements.
• Experience in performing in-depth data analysis to derive insights that drives business outcomes and decisions.
• Exhibit strong written and verbal communication skills
• Be an innovative thinker with an innate curiosity around data
• Be self-motivated and possess the ability to manage multiple priorities and meet deadlines
• Experience in problem analysis and process documentation

Use your skills to make an impact

Required Qualifications

• Bachelor's degree
• Minimum 7 years of technical experience in data analysis using ETL tools and developing ETL packages using SSIS, ADF, and/or DataBricks
• Experience providing expert architecture guidance on Data Warehouse, Data Lake and Modern BI architecture concepts and technologies using Azure Synapse Analytics and/or Databricks
• Experience implementing scalable and maintainable Dimensional Data Models to meet business objectives, including construction of Azure Data Factory and automation of data architectures implemented
• Extensive experience developing stored procedures and dynamic SQL
• Experience taking complex data and making it more accessible, understandable and usable for leaders to derive insights
• Experiencing leading projects through entire life cycle, from design, coding, code review and deployment
• Proficient in root cause analysis
• Demonstrated ability to problem solve and provide solutions for business or data issues
• Good presentation skills to conduct demonstration meetings with clients to show progress on projects
• Experience working with deadlines and skills in addressing customer satisfaction