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Senior Financial Data Analyst in Reading, PA

Senior Financial Data Analyst Job Description

Companies look for senior data analysts with at least three years of related experience and a bachelor’s degree in accounting, finance, economics or business. Advanced knowledge of Excel and other technical tools, as well as strong aptitude in data analysis and the ability to identify patterns and trends in data, are required. Top candidates have a strong work ethic, are organized and detail-oriented, and exhibit excellent writing and verbal skills.

Typical senior financial data analyst duties:

Analyzing complex business problems and issues using data from internal and external sources to provide insight to decision-makersIdentifying and interpreting trends and patterns in datasetsCreating specifications for reports and analysis based on business needs and required or available data elementsPerforming reconciliations on financial data for accuracyResearching system data exceptions for resolution by supervisors or directors

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Salary for Senior Financial Data Analyst in Reading, PA
90431 - 127725
Low
90431
The candidate is new to the role or has limited experience and is building necessary skills.
Mid
112125
The candidate has moderate experience in the role, meets most requirements or has equivalent transferable skills, and may also have relevant certifications.
High
127725
The candidate has extensive experience and advanced skills for the role, and may also have specialized certifications.
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Our starting salary projections come from a rigorous, multistep process so that our numbers accurately reflect the marketplace. They are based on actual compensation for professionals Robert Half has matched with employers across the country and third-party job posting data from Textkernel that we use to independently validate the salary levels. Starting compensation—pay for someone new to a role—can vary significantly based on a candidate’s skills, experience and certifications, as well as other factors including industry, company size and revenue, and demand for the role. To reflect this variability, we report our salary data in three levels: low, mid and high.