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Data Analyst - Finance United States, Chicago Jobs (Hybrid work)

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Senior Customer Operations Data Analyst
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Join Scribd as a Senior Customer Operations Data Analyst. Shape the analytics function by analyzing support data to enhance user experience and decision-making. Utilize SQL, Python, and BI tools to uncover insights and drive improvements. Enjoy top benefits like full healthcare coverage and remot...
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United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City
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115000.00 - 148000.00 USD / Year
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Scribd
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Senior Manager, Data Analyst
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Seeking a Senior Manager, Data Analyst in Chicago to drive data-backed decisions. You will extract insights from large datasets using platforms like Adverity and Amazon Marketing Cloud. This role requires 2+ years in data analysis and expertise in Tableau or Power BI. Enjoy flexible vacation, par...
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United States , Chicago
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110000.00 - 120000.00 USD / Year
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Flywheel Digital
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Solutions Data Analyst
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Join our team in Chicago as a Solutions Data Analyst. You will analyze, design, and present automated system solutions using data analysis and simulation tools like FlexSim. The role requires a Bachelor's in Engineering, SQL knowledge, and experience in industrial logistics. We offer full benefit...
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United States , Chicago
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75000.00 - 90000.00 USD / Year
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E80 Group
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Solutions Data Analyst
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Join our team in Chicago as a Solutions Data Analyst. You will analyze, design, and present automated system solutions using data analysis and simulation tools like FlexSim. The role requires a Bachelor's in Engineering, strong analytical skills, and experience in SQL and data visualization. We o...
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United States , Chicago
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75000.00 - 90000.00 USD / Year
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E80 Group
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Until further notice
Explore a world of opportunity in Data Analyst - Finance jobs, a dynamic and critical profession at the intersection of data science and financial strategy. Data Analysts in the finance sector are the architects of insight, transforming vast quantities of raw financial data into the clear, actionable intelligence that drives sound business decisions, manages risk, and fuels growth. These professionals are essential in today's data-driven economy, serving as the vital link between complex numbers and strategic business outcomes. A Data Analyst in finance typically engages in a cycle of data collection, processing, analysis, and communication. Their core responsibilities involve designing and maintaining data pipelines from various sources such as transactional systems, market data feeds, and internal databases. They perform rigorous data cleaning and validation to ensure the utmost accuracy and integrity of financial information, which is paramount in a highly regulated industry. Using statistical techniques and analytical tools, they identify trends, forecast performance, and build models to answer key business questions. A significant part of their role is to then translate these complex findings into digestible reports, interactive dashboards, and compelling visualizations for stakeholders across the organization, from executives and portfolio managers to risk and compliance officers. They are often tasked with monitoring key performance indicators (KPIs), conducting root cause analysis for data discrepancies, and supporting regulatory reporting by ensuring data is fit-for-purpose and thoroughly documented. To excel in these finance jobs, a specific set of skills and qualifications is generally required. A strong analytical mindset with exceptional problem-solving abilities is non-negotiable. Technically, proficiency in SQL for querying databases is a fundamental skill, often complemented by experience with programming languages like Python or R for more advanced statistical analysis and automation. Expertise in data visualization tools such as Tableau, Power BI, or Qlik is highly valued for creating insightful dashboards. From an educational standpoint, a bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field is typical, with many senior roles preferring a master's degree or relevant professional certifications (e.g., CFA, FRM). Crucially, these roles demand more than just technical prowess; they require sharp business acumen to understand financial products, markets, and the regulatory landscape. Excellent communication skills are essential to articulate complex data stories to non-technical audiences, and a meticulous attention to detail is critical to maintain data integrity in all reporting. If you are a curious, detail-oriented professional with a passion for finance and data, exploring Data Analyst - Finance jobs could be the perfect career path for you.

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