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Lead Data Analytics and Reporting Jobs (On-site work)

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Asphalt Plant Leader
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United States , Denver
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110000.00 - 145000.00 USD / Year
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Owens Corning
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Turnaround Lead Scheduler
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United States , Superior
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Airswift Sweden
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General Manager
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Italy , Milan
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Fever
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Facilities Investment Manager
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United States , Quantico
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70000.00 - 90000.00 USD / Year
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CBRE Government & Defense Services
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Continuous Improvement Manager
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United States , Grand Prairie
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Assessfirst
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Copperton Lead Technician
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South Africa , Copperton
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Nordex Group
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Maintenance Planner Scheduler
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Ireland , Cork
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BioMarin Pharmaceutical
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Program Manager (CapEx)
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United States , Boston
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130000.00 - 185000.00 USD / Year
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Whoop
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Business Analyst
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Musemind
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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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Lead Captain
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United States , St. Paul
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200000.00 - 215000.00 USD / Year
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Clay Lacy Aviation
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Presales Consultant
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India , Bangalore
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Hewlett Packard Enterprise
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Product Engineer PRMO Manufacturing
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United States , Aguadilla
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Hewlett Packard Enterprise
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Java Full Stack Developer
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India , Chennai; Pune
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Citi
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.NET Solution Architect
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India , Pune
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Citi
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CFO
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United States , Denver
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Robert Half
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Lead Data Analytics and Reporting jobs represent a critical senior-level function at the intersection of data management, strategic insight, and business leadership. Professionals in this role are not just data experts; they are strategic partners who translate complex data into actionable intelligence that drives an organization's most important decisions. They are responsible for the entire data-to-insight lifecycle, ensuring that data assets are accurate, reliable, and effectively communicated to stakeholders. A Lead Data Analytics and Reporting professional typically oversees the design, development, and implementation of an organization's reporting and analytics framework. Their common responsibilities are multifaceted. A core duty involves establishing and enforcing robust data governance and data quality standards. This includes designing and monitoring data quality rules, conducting root cause analysis for data issues, and ensuring compliance with internal data policies and external regulatory requirements. They lead the creation of complex reports, dashboards, and scorecards that provide a clear view of business performance, risks, and opportunities. This goes beyond simple reporting; they use advanced analytical techniques to identify trends, patterns, and insights that would otherwise remain hidden. Furthermore, they often manage projects and reengineering efforts aimed at improving data processes and methodologies, and they act as a coach or advisor to junior analysts, fostering a data-literate culture. The typical skill set for these jobs is a blend of deep technical expertise and strong business acumen. Technical proficiency is a must, with common requirements including advanced SQL for data extraction and manipulation, programming languages like Python or R for statistical analysis and automation, and expertise in data visualization tools such as Tableau, Power BI, or Qlik to create compelling reports. A comprehensive understanding of data governance frameworks and data quality methodologies is essential. From a business perspective, they must possess exceptional strategic thinking and problem-solving abilities to tackle complex business challenges. Influential communication skills are paramount, as they must convey sophisticated data findings in a clear and impactful way to both technical teams and non-technical executives. Strong project management and collaboration skills are also critical, as they frequently partner with business units, technology teams, and senior leadership. Candidates exploring Lead Data Analytics and Reporting jobs will generally find that employers seek individuals with a bachelor's or master's degree in a quantitative field and a significant track record of experience, often 6-10 years, in progressively responsible data-centric roles. This profession is ideal for those who are not only passionate about data but also about leading, influencing strategy, and delivering tangible business value through informed, data-driven decision-making.

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