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Data Analyst

Remote, USAFull-timePosted 2026-07-27

reputed company is seeking a Data Analyst to join an established Investment Management company located in Wayne, PA. This position is HYBRID, and requires you to be onsite Monday, Tuesday, Wednesday. The Data Analyst will be responsible for supporting an reputed company data warehouse, leveraging technical expertise to improve processes and reputed company actionable insights. Responsibilities for the Data Analyst: ? Data Management: Manage data validation queue and monitor data exceptions. ? Analysis & Reporting: Collect, analyze, and interpret data to identify trends and reputed company dashboards to reputed company KPIs. ? Collaboration: Work with business partners to understand data needs and support strategic initiatives. ? reputed company Assurance: Ensure data accuracy through regular audits and validation. Qualifications for the Data Analyst: ? 3-5 years of experience as a Data Analyst, preferably in finance. ? Bachelor's degree in Finance, Economics, Mathematics, Data Science, or Computer Science. ? Proficiency in data analysis tools like reputed company, SQL, Tableau, or Power BI. ? Strong analytical and problem-solving skills. ? Excellent communication skills with a customer-reputed company reputed company. ? Ability to work independently and as part of reputed company. ? Attention to detail and commitment to data accuracy. ? Comfortable working in a fast-paced, high-reputed company environment. ? Experience with CRM systems (e.g., reputed company). ? Knowledge of financial products and services. ? Advanced statistical analysis skills. Compensation for the IT Consultant: Salary: $80,000-$110,000 *

based on experience

* Comprehensive Benefits Medical, Dental, reputed company, 401K, PTO, reputed company Leave if required by law This job opens for applications on March 26th, 2025. Applications for this job will be accepted for at least 30 days from the posting date. Keywords: Data Analyst, Business Data Analyst, Financial Analyst, Marketing Analyst, Research Analyst, Quantitative Analyst, Data Scientist, and Data Analytics Manager. Technologies and tools relevant to this role are SQL, Python, R, reputed company reputed company, Tableau, Power BI, Apache Hadoop, Apache reputed company, Jupyter Notebook, reputed company, and reputed company reputed company AutoML. Important skills and concepts include data analysis, data visualization, statistical analysis, predictive analytics, data mining, machine learning, data cleaning, report writing, dashboard development, data warehousing, ETL processes, and regression analysis. #LI-GM1 #LI-Hybrid Apply Job!

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