Data Analyst Advisor - Data Governance & Architecture Optimization

Remote Full-time
Join the Team: Data Analyst Advisor - Data Governance & Architecture Optimization at Workwarp Are you a detail-oriented and proactive data professional looking for a new challenge? Do you have a passion for data governance, architecture, and stewardship? Look no further! Workwarp is seeking a highly skilled Data Analyst Advisor to join our Decision Analytics team. As a key member of our team, you will play a crucial role in managing and optimizing our data architecture, ensuring the accuracy and quality of our data stewardship practices, and supporting the overall data governance framework across the organization. About Workwarp At Workwarp, we are committed to harnessing the power of data to drive business success. Our team of data professionals works tirelessly to ensure that our organization's data is accurate, reliable, and secure. We are a dynamic and collaborative team that values innovation, creativity, and teamwork. Our company culture is built on the principles of transparency, accountability, and continuous learning. Job Summary We are looking for a highly skilled Data Analyst Advisor to join our Decision Analytics team. The successful candidate will have a strong understanding of data management principles, as well as hands-on experience with data quality, metadata management, and data governance processes. The ideal candidate will be able to collaborate with cross-functional teams, including Data Engineers, Data Scientists, IT, and Business Analysts, to ensure that data is effectively governed and leveraged to drive strategic decision-making. Key Responsibilities Data Architecture Support: Assist in the design and implementation of data architecture frameworks that support efficient data storage, access, and retrieval across multiple systems. Ensure that data models and schemas are aligned with organizational goals and business requirements. Work with data engineers to optimize the flow of data between systems, ensuring consistency and accuracy across platforms. Data Stewardship: Collaborate with business and technical teams to define and manage data definitions, data quality standards, and data classifications. Monitor and validate data quality, identifying discrepancies and recommending corrective actions. Support the creation and maintenance of data catalogs, ensuring proper documentation and metadata management. Ensure that data is used responsibly and consistently across the organization. Data Governance: Assist in the implementation and monitoring of data governance policies, including data access, data privacy, and security protocols. Support compliance with regulatory requirements and internal data governance frameworks. Track and report on key performance indicators (KPIs) for data governance, ensuring adherence to governance guidelines. Engage with data owners and stakeholders to promote data governance best practices across the business. Collaboration & Communication: Work closely with business leaders, data engineers, and data scientists to ensure alignment between data governance policies and business objectives. Provide training and guidance to data stewards, business analysts, and other stakeholders on data management best practices. Prepare reports and presentations on data governance, stewardship, and architecture activities for executive leadership. Continuous Improvement: Identify opportunities for process improvements related to data governance, stewardship, and architecture. Stay up to date with industry best practices and emerging trends in data management, architecture, and governance. Requirements Essential Qualifications: Bachelor's degree in Information Systems, Computer Science, or a quantitative discipline such as Mathematics, Engineering, Operations Research, Economics, or Finance. Seven (7) years of experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics. Strong understanding of data governance principles, data quality metrics, and metadata management. Experience in data processing techniques to scrub, combine, and manage data from relational and NoSQL sources. Proficiency in SQL and experience with data querying and reporting. Strong analytical, problem-solving, and critical-thinking skills. Strong collaboration skills, translating business needs to analytic requirements, and developing recommended approaches. Preferred Qualifications: Familiarity with data governance tools such as Ab Initio Metadatahub, Collibra, Purview, and/or Alation. Proficiency in Power BI DAX and data modeling. Azure database experience. Understanding of APIs, ETL/ELT processes, and Agile PM methodologies. Detail-oriented with a passion for maintaining data integrity and accuracy. Strong communication skills with the ability to influence and collaborate with diverse teams. Proactive and self-driven, with a continuous improvement mindset. What We Offer At Workwarp, we offer a competitive salary and a comprehensive benefits package, including: Competitive salary: $7,488.36 - $12,533.00 per month Health, vision, and dental insurance Retirement plan Why Join Us? At Workwarp, we are committed to creating a work environment that is inclusive, diverse, and supportive. We value our employees' growth and development and offer opportunities for career advancement. Our company culture is built on the principles of transparency, accountability, and continuous learning. As a Data Analyst Advisor at Workwarp, you will have the opportunity to work on complex data governance and architecture projects, collaborate with cross-functional teams, and contribute to the development of our data strategy. You will also have access to training and development programs to help you grow in your career. How to Apply If you are a motivated and detail-oriented data professional looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role. We look forward to hearing from you! Apply for this job
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