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Experience with data analysis tools and programming languages (e.g., Python, R, SQL) preferred. Experience with data analysis tools and programming languages (e.g., Python, R, SQL) preferred.
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Possess ability to extract and manipulate data in relational databases, SAS, SQL, R or Python preferred. ACAS or FCAS designation preferred but not required. WHAT WE ARE SEEKING We have assignments available to help our insurance carrier clients in Actuarial Analyst positions.
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Strong quantitative skills; advanced statistical programing skills; knowledge of R or Stata is a plus. The applicant's Master's degree must be in one of the following areas or closely related: Public Health, Medical Librarianship, Kinesiology, Epidemiology, Statistics, Economics/Econometrics, Quantitative Methods.
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Robust technical skill set (ie: SQL, Oracle, Teradata, Power BI, Tableau) or equivalent. This area works in partnership with Operational Leaders, Technology Operations and IT to provide meaningful and actionable reporting that is used to streamline prescription delivery and influence the technology roadmap.
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The qualified candidate will act provide quality assurance support quality systems and compliance activities working cross-functionally with R&D, Product/Process Development, Manufacturing, Supply Chain, QC and QA.
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Expertise in SQL with capability to connect and perform backend data analysis on various relational tables using SQL queries. Must have good knowledge and experience in master data management (MDM) / PIM environment (such as Informatica P360) Expertise in working with data syndication tool (such as Syndigo) Capable of analyzing the table schemas and perform grain analysis.
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As an R&D Senior Associate, you will: Provide tax consulting services as it relates to the Research and Development Tax Credit and the capitalization and amortization rules under IRC Section. The R&D Senior Associate will have the opportunity to work hybrid from any of our office locations or remotely from within the United States.
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Financial systems experience including SQL and/or relational databases, data modeling, and report building required. The position is eligible to participate in FM Global'sprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.
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Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems.
$38 - $50 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Lead design and development of back-end services in C#, Docker, Kubernetes, and SQL Server and front-end applications in React, Next.js and Node.js. Proven track record in building distributed microservices at scale, coupled with expertise in relational databases, preferably SQL Server.
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Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc. ), MLFlow, Experimentation, Tracking, Productionizing and proficient in SQL.
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At least five years’ experience working with relational databases (Oracle, IBM DB2 LUW, Snowflake, SQL Server, etc). If so, join our Financial Intelligence Unit (FIU) Analytics team and embrace this exciting and unique opportunity to learn about and interact with data from across the enterprise, including customer, transaction, and fraud metrics.
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Proficient in Power BI, SQL, Excel, and Access. ArcGIS, R or other data management and statistical software. The ideal candidate will have strong Power BI and SQL skills. Use SQL programming skills to perform data transformations, merge datasets, filter data, create tables, and perform basic to advanced analytics.
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In this role you'll be instrumental in shifting the company from on-prem to GCP, building out backend code and APIs using Python/Flask and SQL. There is opportunity to informally lead as the team is further built out over the next several months.
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Intermediate to advanced knowledge of one or more of the following: SQL, SAS, Alteryx, Python, Tableau or related tools. The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology.
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