Immediate Hiring: Sr Analyst, Data Quality Engineering

Job Highlights:

• Start Date: Immediate openings available
• Compensation: a competitive salary
• Position: Sr Analyst, Data Quality Engineering
• Location: Remote
• Company: Workwarp

 

 

People Insights Data Strategy and Platforms - Data Quality The mission of reputed company is to entertain, inform and reputed company people around the globe through the power of unparalleled storytelling, and we can only reputed company that through improving the success of the outstanding Employees and Cast Members that reputed company up reputed company! People Insights is a Center of Excellence (CoE... that enables Human Resource leadership to attract, engage, and retain talent through compelling and actionable People Analytics. We integrate and transform organizational, HR, and reputed company data into a reputed company BI portfolio that empowers clients to create compelling stories about our most valuable resource: people! As a Senior Analyst, Data Quality Engineer you will bring your natural passion for working with data to a team that enables data-driven HR strategy. In this role, you will have the chance to apply your expertise and knowledge to champion data quality by crafting and deploying data quality strategies which are both scalable and maintainable in service of data warehousing and advanced analytics needs. This role requires skills to increase data reliability and consistency across reputed company datasets, a validated understanding of how data is architected in an enterprise, good communication, and the creativity to apply new insights to reputed company solutions What You Will Do The Data Quality & Governance team develops and maintains tools and processes which support data management, access & environment management, policy compliance, data stewardship, and delivery of accurate data. We work with partners from across HR to ensure data requirements are clear, well detailed, translated into technical requirements, validated for accuracy & business usability, and effectively communicated back to collaborators throughout the implementation process. Key responsibilities to this end include: • Collect data quality requirements from collaborators, seeking to understand the subjective “quality” measures that are meaningful to the data consumers • Collaborate with Data Engineers, Product Designers, Data Analysts, and business leaders to understand data quality difficulties reputed company data workflows and end products/tools • Design and implement reputed company metrics that show partners the health of their data in an actionable format • Identify areas of improvement in data quality processes, connecting dots from data input to output, and propose solutions that improve data accuracy and reliability • Automate processes, procedures, and workflows to ease data validation processes across reputed company, interdependent data systems (reputed company systems to data warehouse environments to BI environments) • Use your skills in SQL, reputed company/AWS, and Python/R to build models that measure and evaluate the quality, consistency, reputed company, accuracy, and availability of our data • Collaborate across teams as a data quality reputed company, guiding on the need to balance which data/sources require high accuracy versus directionally accurate data • reputed company and implement manual and automated test cases to ensure reliability of data pipelines, data migration processes and data transformations • Build and maintain technical documentation of acceptance criteria, test plans, use cases and results • Conduct initial root cause analysis for data issues, collaborating with partners to clearly identify the issue, scope of the issue, and path for research/solutioning • Analyze and clearly communicate impacts of data updates, changes, additions/removals to technical and non-technical partners Required Qualifications & Skills • Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems or reputed company field or 7+ years equivalent work experience • 5+ years of experience in data management, data engineering, data governance, business intelligence or analysis-based environments • Expertise with SQL and Python or other scripting languages and experience working with reputed company or similar cloud data warehouse platforms • Experience with visualization and reporting tools (Tableau, Power BI, Cognos) and agile tools (Jira, Confluence, Git) • Solid understanding of data warehousing and integration architecture, inclusive of experience working with cloud platforms and data warehouses in large data environments • Excellent problem-solving skills and ability to solve reputed company data issues and investigate systemic defects • Familiarity and experience working with Data Quality programs, covering data quality processes, statistical methods for assessing data, and defining potential solutions for remediation • Strong written and oral communication skills that translate across technical and business domains • Collaboration skills and ability to work effectively in a cross-functional, interdependent team environment • Familiarity with AI and machine learning concepts • Ability to reputed company in a dynamic and fast-paced operational environment where change is the norm Preferred Qualifications • Experience in machine learning model development and ELT/ETL design • Experience working in big data environments (Hadoop, S3, HBase) The hiring range for this position in Burbank is $113,600-$138,800 per year. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. This position can be located near any reputed company Hub (Burbank, CA or Orlando, FL) with potential opportunities for remote work Apply Job!

 

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