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Keywords: Bank Loans, Domain Knowledge, Data Engineer, Data Process, Fund Performance, Excel, VBA, SQL Query, Python, Reporting, Dashboards. Must have data analysis technical skills: Excel, VBA, SQL, Python.
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Skills: - 3 years of experience performing data extraction, manipulation, and visualization using Python - Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
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Experience using Python for data automation/ETL automation (e.g. Pandas, git, SQL, Airflow/Prefect/Dagster). Experience working with and delivering data visualization and reporting using enterprise tooling (e.g. Sigma, Tableau, Power-BI) (*Preferred.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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At least five (5) years of analytics development experience for a health provider, health plan or accountable care organization including:Experience working in a health plan and/or Health Delivery System focused on medical economicsExperience working in healthcare provider analytics related to managed care contracting, population management, clinical or financial decision supportStrong data mining skills using tools like SQL, R, Python, SAS, etc.
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Proficiency in data analysis tools (, Python, R, or similar) Excellent analytical and problem-solving skills Comprehensive knowledge of at least one substantive area of compliance, such as banking regulations, anti-money laundering, or anti-corruption Added bonus if you have:Effectively communicates with all levels of technical and non-technical personnel.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Microservices; Apache Kafka; J2EE; Jenkins; Spring; Hibernate; Java; Javascript; Python; SQL; REST; SOAP; Maven; JSON; Dynatrace; Splunk; GIT; Cucumber; Junit; Automated Testing; Manual Testing; Regression Testing; System Integration Testing; and Unit Testing.
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. 5+ years of SQL & Python programming experience leveraging strong software development principles.
$247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency with statistical and data analysis and programming tools such as R, SAS, SQL and Python. The Credit Risk – Risk Analyst will provide complex support and expertise to the business (1st line of defense) and credit risk (2nd line of defense) units through credit research, data gathering, developing, and executing risk procedures.
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Experience with statistical tools such as R, Python, SPSS, etc. Bachelor's degree in Data Science, Statistics, HR Analytics or a related field preferred. Strong experience in data analysis, statistical modeling, HR analytics and reporting.
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Developing predictions models in R/Python, and operationalizing prediction models created by data scientists' team, implementing enterprise data catalog, full data lineage, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting the Enterprise Data Warehouse.
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Knowledge of data warehouse strategies, ETL processes and in using the following tools: Tableau, SQL and Python/R is also required. 3+ years of related, hands-on experience with Python, R or similar analytical programming language.
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) Knowledge of further Cloud technologies (Redshift, S3, EC2, EMR, Talend/Pentaho/Snowflake.
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C#, developer, perl, php, python, sde, software developer. Professional or personal experience with Java, Kotlin, TypeScript, SQL, and/or AWS (this is a strong plus) c#, developer, perl, php, python, sde, software developer.
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5 years of relevant experience, which can include a combination of management consulting, commercial analytics, and/or real-world evidence generation within the pharmaceutical industry; using common analytic toolsets (e.g., R, Python, SQL.
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Js, Python (Django/Flask), RESTful and GraphQL APIs Databases: PostgreSQL, MongoDB DevOps & Cloud: Docker, Kubernetes, AWS/GCP, CI/CD pipelines Version Control: Git, GitHub/GitLab Other Tools: Redis, WebSockets, OAuth, Jenkins.
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python job Company: Deloitte in Jersey City, NJ
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