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Data Analytics Analyst 2 Jobs

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Senior Business Operations Analyst
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United States , New York
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76500.00 - 90000.00 USD / Year
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Figure
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Revenue Cycle Analyst
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United States , Tulsa
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Robert Half
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Cost Analyst
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United States , Collierville
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Robert Half
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Credit Portfolio Analyst
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India , Haryana; Mumbai
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Citi
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Credit Portfolio Analyst
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India , Haryana; Mumbai
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Citi
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Credit Portfolio Analyst
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India , Haryana; Mumbai
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Citi
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Senior Product Manager - AI Workflows (Hedge Funds)
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United States , New York
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177000.00 - 256000.00 USD / Year
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AlphaSense
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Junior Financial Analyst
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United States , Rock Hill
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HARTMANN
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Analyst, Sales Compensation
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Armenia , Yerevan
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ServiceTitan
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IT Sr Software Engineer
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United States , Englewood
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49.78 - 74.05 USD / Hour
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American Nursing Care
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Financial Analyst
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United States , West Palm Beach
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Robert Half
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Pricing Analyst
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Israel , Petah Tikva
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Global-e
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Digital Advertising Analyst
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United States
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60000.00 - 87000.00 USD / Year
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Fullpath
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Governance Reporting & Analysis Intermediate Analyst
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Costa Rica , Heredia
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Citi
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OSINT/PAI Targeting Analyst – Expert
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United States , Fort Bragg
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Barbaricum
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Senior Financial Analyst
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Canada , Cambridge
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ATS Automation Tooling Systems Inc.
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Network Systems Analyst
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United States , New York
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65000.00 - 75000.00 USD / Year
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Rowan
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AP Accountant
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Bulgaria , Sofia
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Hewlett Packard Enterprise
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Credit Portfolio Analyst II
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India , Mumbai; Pune
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Citi
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Business Analyst
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Japan , Tokyo
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5000000.00 - 7500000.00 JPY / Year
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Randstad
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Explore a world of opportunity with Data Analytics Analyst 2 jobs, a pivotal mid-level role for professionals ready to deepen their impact in the data-driven landscape. A Data Analytics Analyst 2 is a developing professional who acts as a crucial bridge between raw data and actionable business strategy. This position is a natural career progression for those with foundational experience, focusing on applying specialized analytical knowledge to monitor, assess, and evaluate complex processes and datasets. Individuals in these roles are tasked with transforming information into insight, directly influencing operational efficiency and strategic direction. The common responsibilities for a professional in these jobs are diverse and impactful. Typically, they involve interpreting complex data sets to identify trends, patterns, and anomalies. A key function is defining ambiguous business issues and formulating data-backed recommendations on policies, procedures, or practices. They are responsible for identifying inconsistencies in data or results, ensuring the integrity of the analysis that drives business decisions. Furthermore, a Data Analytics Analyst 2 integrates established knowledge from their specialty area, such as finance, marketing, or operations, with a growing understanding of broader industry practices. Their work often includes preparing reports and presentations that exchange information in a concise and logical manner, being sensitive to the diverse needs of their audience, from technical teams to executive leadership. When searching for Data Analytics Analyst 2 jobs, candidates will find a consistent set of skills and requirements. Employers typically seek professionals with 2-4 years of relevant experience, where they have honed their ability to use tools for statistical modeling and analysis of large data sets. Proficiency in SQL, data visualization platforms like Tableau or Power BI, and statistical programming languages such as R or Python is highly valued. Beyond technical prowess, success in these jobs hinges on strong interpretive thinking and the ability to provide in-depth analysis to define problems and develop innovative solutions. Excellent interpersonal, verbal, and written communication skills are non-negotiable, as the role requires translating complex findings into understandable and persuasive narratives. A bachelor's degree in Data Science, Statistics, Mathematics, Economics, or a related field is standard, with many professionals pursuing advanced certifications or degrees. For analytical minds ready to take the next step, Data Analytics Analyst 2 jobs offer a challenging and rewarding path to shape the future of business through the power of data.

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