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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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0-1 years of experience using data spreadsheets (MS Excel), database and statistical programs. Database experience using MS Excel, the ability to follow strict QA/QC procedures and strong attention to detail is required.
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Gathers and extracts data from all pertinent databases using a variety of common commercially available tools including MS Excel, MS SQL and Tableau to assist clients in identifying potential solutions to business needs.
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Advanced proficiency with MS Excel (Macros, VBA, V-Lookup, Pivot Tables, etc. Bachelor’s degree in Data Science, Economics, Finance, Accounting, or Computer Science with a focus in quantitative methodologies.
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3-4 years of proven experience as a Data Analyst or Business Data Analyst (Finance and Accounting experience a plus). Sr. Financial Data Analyst. Take lead in Data Cataloging, Lineage, Security and Controls for entire data marketplace.
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As a member of the Data and Analytics team, the Sr. Financial Data Analyst role will contribute to the success in both the daily operations and long-term strategy of the organization s data assets.
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Experience with Data Cataloging, Lineage, KPI's. 8+ years of data analysis experience and strong experience writing complex queries. Experience helping in building Data artifacts such as Data Dictionary, Standards, and Definitions.
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Bachelor’s degree in quantitative field preferred (e.g. mathematics, Economics, Statistics, Computer/Software Science, Data Science). I am looking for a Data Analyst with 1-3 years of experience that is fluent in Japanese and can take data sets and tell a story.
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Fixed Indexed Annuity product experience preferred Experience with MS Excel / Word / PowerPoint. Familiarity with data analytics tools (SQL, Python, R, Tableau, etc.) SUPERVISORY RESPONSIBILITIES : NA Direct Reports: 0 General Description of Indirect Reports (2 and 3-downs ): 0 EDUCATION AND/OR EXPERIENCE : Bachelor’s degree in actuarial science, finance, mathematics, statistics or other related field of study; or related field of study; plus six (6) years of progressively responsible actuarial/financial analysis or related experience; or equivalent combination of education and/or experience is required.
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The position will work across many different data formats, including Excel, CSV, and MS SQL, and experience in these formats and capabilities like SSAS and SSIS will be valuable. Knowledge of principles of clinical data collection and reporting; demonstrated ability to use systems and tools (e.g., Word, Excel, PowerPoint, etc.
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Collaborate with data engineers and business teams to improve data models that feed Power BI and increase data accessibility. Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
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Primary Skills R, Data Analyst, research, MS Excel, statistical, education, and workforce. The role of the Data Analyst is to provide data analysis support for the Office of Education Through Employment Pathways.
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Familiarity with HR systems and data sources (e.g., Workday, data warehousing and other cloud platforms)Relevant industry experience a plusKnowledge, Skills and AbilitiesProficiency with MS Office including Outlook, Word, Excel and PowerPoint.
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O Make arithmetic computations using whole numbers, fractions and decimals, rates, ratios, and percentages; o o MS Access - advanced skills including relational table joins, data transformation through joins, filtering, updates, and summarization, reporting (preferred); o Reporting (Cognos, OBIEE, Crystal) - advanced skills in standard columnar reporting, requirements gathering, data preparation requirements, report creation, testing, scheduling, and deployment.
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Experience in gathering data/reporting requirements from business stakeholders. 4+ years of data management experience. Must Have: Senior level (8+ years analyst experience). Keen eye to identify problems, ideate potential solutions, and ultimately resolve problems.
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data science ms excel jobs Title: data analyst
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