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Data Quality Analytics & Reporting Lead Analyst Jobs

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Business Analyst
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Poland , Warsaw
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DCG Sp. z o. o.
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Energy Management Analyst
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United States , Houston
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EDP
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Enterprise Commercial Finance Manager
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South Korea , Seoul
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Microsoft Corporation
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Business Systems Analyst – Workday & HRIS
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India , Chennai
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Zuora
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Business System Analyst - Netsuite
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India , Chennai
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Zuora
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SAP FICO Functional Analyst
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Belgium , Aalst
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Ontex Peninsular
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Senior Financial Analyst
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ProNexus
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Senior Oracle PL/SQL Programmer
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Canada , Mississauga, Ontario
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120800.00 - 170800.00 USD / Year
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Citi
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Associate Director, Media Planning & Buying
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United Kingdom , London
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Blue State
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Project Coordinator
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Canada , Cambridge
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ATS Automation Tooling Systems Inc.
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Senior Manager, Consumer Experience Growth & Support
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United States , Englewood
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60.24 - 89.60 USD / Hour
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American Nursing Care
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IT Business Analyst
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United States , Columbus
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Revel IT
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Order-to-Cash UAT Lead – eCommerce Platform Program
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United States , Seattle
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Inabia Solutions & Consulting
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Senior Media Strategist
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United States , NY, DC, Oakland
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88000.00 - 101000.00 USD / Year
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Blue State
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Payments Data Transformation Head Director
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United States , Jersey City
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Citi
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Java Full Stack Developer
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India , Chennai; Pune
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Citi
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Test Analyst
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India , Gurgaon
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Citi
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Embark on a critical and high-impact career path with Data Quality Analytics & Reporting Lead Analyst jobs. This senior-level role sits at the strategic intersection of data management, business intelligence, and corporate governance. Professionals in this field are the guardians of an organization's data integrity, transforming raw information into trusted, actionable insights that drive sound business decisions and ensure regulatory compliance. If you are passionate about building a culture of data-driven excellence, these jobs offer a challenging and rewarding opportunity. A Data Quality Analytics & Reporting Lead Analyst is fundamentally responsible for the end-to-end health of an organization's data. Their primary mission is to manage and execute continuous data quality monitoring by overseeing firm-wide controls. This involves setting the parameters, guidelines, and metrics for measuring, evaluating, and communicating data quality and its associated risks. On a typical day, these leads design and analyze complex reports and sophisticated data quality rules to satisfy both internal management and external regulatory requirements. They develop broad-based business reporting solutions to resolve issues with multiple variables that could cause substantial operational or financial impact if left unaddressed. Common responsibilities for this profession include leading reengineering efforts to improve data-related methodologies and align them with organizational strategy. They manage significant projects aimed at acquiring, managing, and presenting data for reporting and statistical analysis. A key part of their role is to provide in-depth, sophisticated analysis with interpretive thinking to define complex problems and develop innovative solutions, often leveraging advanced tools and automation. Furthermore, they act as advisors and coaches to junior personnel, influencing strategic functional decisions through their expert counsel and ensuring that data governance policies are rigorously adhered to across the enterprise. To excel in Data Quality Analytics & Reporting Lead Analyst jobs, candidates typically possess 6-10 years of progressive experience, often within data-intensive sectors like finance, banking, or large-scale corporate environments. A comprehensive understanding of how data integrates across different business areas to achieve collective objectives is crucial. Strong technical proficiency is a must, including advanced skills in SQL, data profiling tools, and reporting platforms like Tableau or Power BI. Experience with data wrangling and automation tools such as KNIME, Python, or Alteryx is highly valued, as is a familiarity with project management methodologies like Agile. Beyond technical acumen, successful professionals are effective collaborators and communicators, able to build relationships and convey complex concepts to diverse audiences, from technical teams to senior executives. They are analytical problem-solvers with a keen eye for risk assessment and a steadfast commitment to upholding the highest standards of data quality and governance.

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