| Open Requirements||Data Analyst||USA Remote at Remote, Remote, USA |
| Email: [email protected] |
| Hi, Please take a look at the below requirements and if you have any consultant on bench for this please share updated resume with SR number. SR Title Must Have Job Description 1 Data Analyst SQL, Snowflake Responsible for data mapping new client implementations Gather/validate requirements with stakeholders and the project team Discuss issues and questions related to claims data analysis, issue documentation; work with business stakeholders to review and resolve these issues Perform data analysis, using in-depth knowledge of databases and healthcare data Support all phases of the software development lifecycle (SDLC) Work as part of an Agile team Map data from one format to another. Strong SQL, Healthcare claims, Snowflake experience. 2 Data Analyst Python. PySpark. SQL Expertise to design and create Data Pipelines in Azure Cloud using Azure Data factory, ADLS, Azure Databricks, Log Analytics , Application Insight, Azure Monitor Expertise in writing python and SQL Scripts. Familiarity with Terraform or other Infrastructure as code Software. Writing Data quality automation tests using test framework. Tools and Languages: Python, PySpark, SQL. Cloud Technologies: Azure. Azure Data Factory. Azure DevOps. Snowflake. Databases: Snowflake, SQL Server. Logging and Documenting: Confluence, GitHub. 3 Data Analyst Python, PySpark, SQL, Azure Data, Snowflake, SQL Server. Expertise to design and create Data Pipelines in Azure Cloud using Azure Data factory, ADLS, Azure Databricks, Log Analytics , Application Insight, Azure Monitor. Expertise in writing python and SQL Scripts. Familiarity with Terraform or other Infrastructure as code Software. Writing Data quality automation tests using test framework like Great Expectations.Tools and Languages: Python, PySpark, SQL.Cloud Technologies: Azure, Azure Data Factory, Azure DevOps, Snowflake, Databases. Snowflake. SQL Server. Logging and Documenting: Confluence, GitHub. 4 Data Analyst AWS , Spark, Python Primary Skill AWS, Spark, Python Secondary Skill- Orchestration (Airflow or MWAA preferred), SQL, CI (Git preferred) . DevOps. Healthcare Domain & Data Standards. Nice to Have Azure, Shell scripting. Experience 8+ years of experience as Data Analyst. 3+ Years of experience in AWS, Spark, Scala. 2+ Years of experience in Python. Expert level (broad and wide) understanding of health care data relevant to both payers and providers. Validating and transforming health care claims, membership, provider, and enrollment data. Experience with SQL writing data transformations. Experience as an individual contributor, hands-on developer, non-manager role executing on engineering projects as a primary job responsibility. Demonstrated knowledge of data management best practices Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Good knowledge in AWS, Spark, Python, Orchestration (Airflow or MWAA preferred) SQL, CI (Git preferred) . DevOps. Healthcare Domain & Data Standards. Nice to Have - Azure . Shell scripting 5 Data Analyst Python, SQL Apache Spark, PySpark API, Primary Responsibilities: Demonstrable senior proficiency level and knowledge of the Elasticsearch/AWS-OpenSearch stack. Experience Building dashboards and user interfaces using Kibana/OpenSearch Dashboard or other visualization tools. Programming experience, including solid Python experience, following software engineering best practices. Experience with distributed data processing frameworks such as Spark or MapReduce. Experience building and maintaining ETL Bigdata pipelines and data assets. Experience as an individual contributor, hands-on developer, non-manager role executing on engineering projects as a primary job responsibility. Demonstrated knowledge of data management best practices Main Technologies: Currently the main technologies we are using are Apache Spark, Hadoop, Hive, Luigi, Python (and a little bit of Scala) and the platform we use is the AWS cloud. Candidates should be solid with at least some of these technologies, and follow good engineering practices, such as testing, code reviews and putting in place monitoring systems like dashboards or alerts. Preferred Qualifications: Experience with dashboard development in Elasticsearch/AWS-OpenSearch. Experience with Python programming and PySpark framework. Experience with data pipeline frameworks such as Airflow, Luigi or Oozie Experience with cloud-based computing (AWS) Familiarity with EHR data and standards (HL7 or FHIR) Experience with non-relational data bases. Experience with code and process documentation Experience with explaining, educating, presenting and/or training non-engineers on engineering concepts and processes Experience with continuous integration and delivery tools like Jenkins, Terraform. 6 Data Analyst IRIS. SQL. Splunk. Primary Skill IRIS, SQL, Splunk. Secondary Skill- HL7, UAT, Azure. 6+ years of experience as Data Analyst. Expert level (broad and wide) understanding of health care data relevant to both payers and providers. Validating and transforming health care claims, membership, provider, and enrollment data. Experience with SQL writing data transformations. Experience as an individual contributor, hands-on developer, non-manager role executing on engineering projects as a primary job responsibility. Demonstrated knowledge of data management best practices Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Good knowledge in IRIS, SQL, Splunk, HL7, UAT, Azure. 7 Data Analyst ETL ingestion. C. .Net. SQL. SQL Server Primary Skill - ETL ingestion, C, .Net, SQL, SQL Server Secondary Skill- Claim and member data knowledge. 6+ years of experiences as Data Analyst. Expert level (broad and wide) understanding of health care data relevant to both payers and providers. Validating and transforming health care claims, membership, provider, and enrollment data. Experience with SQL writing data transformations. Experience as an individual contributor, hands-on developer, non-manager role executing on engineering projects as a primary job responsibility. Demonstrated knowledge of data management best practices Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Good knowledge in ETL ingestion. C. .Net. SQL. SQL Server, SSIS, SSRS, Shell scripting. Claim and member data knowledge. ETL ingestion knowledge. C. .Net. SQL. SQL Server.. 8 Data Analyst ETL ingestion, C, .Net. SQL. SQL Server. SSIS. SSRS Primary Skill - ETL ingestion, C, .Net. SQL. SQL Server. SSIS. SSRS Secondary Skill- Claim and member data knowledge. ETL ingestion knowledge. C. .Net. SQL. SQL Server. SSIS. SSRS. Shell scripting. 6+ years of experience as Data Analyst. Expert level (broad and wide) understanding of health care data relevant to both payers and providers. Validating and transforming health care claims, membership, provider, and enrollment data. Experience with SQL writing data transformations. Experience as an individual contributor, hands-on developer, non-manager role executing on engineering projects as a primary job responsibility. Demonstrated knowledge of data management best practices Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Good knowledge in ETL ingestion, C, .Net. SQL. SQL Server. SSIS. SSRS 9 Data Analyst MS SQL. ETL SSIS. Python Roles and responsibilities Responsible for data mapping new client implementations, Gather/validate requirements with stakeholders and the project team, Discuss issues and questions related to claims data analysis, issue documentation; work with business stakeholders to review and resolve these issues, Perform data analysis, using in-depth knowledge of databases and healthcare data, Support all phases of the software development lifecycle (SDLC), Work as part of an Agile team, Map data from one format to another Expert level (broad and wide) understanding of health care data relevant to both payers and providers. both financial and clinical. Validating and transforming health care claims, membership, provider, and enrollment data. Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Experience 8+ years of experiences as Data Analyst. Expert level (broad and wide) understanding of health care data relevant to both payers and providers. Validating and transforming health care claims, membership, provider, and enrollment data. Experience with SQL writing data transformations. Experience as an individual contributor, hands-on developer, non-manager role executing on engineering projects as a primary job responsibility. Demonstrated knowledge of data management best practices Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Good knowledge in S SQL. ETL SSIS. Python. Alteryx. Shell Scripting Primary Skill - MS SQL. ETL SSIS. Python Secondary Skill- MS SQL. ETL SSIS. Python. Alteryx. Shell Scripting 10 Data Analyst MS SQL. ETL SSIS. Python Roles and responsibilities Responsible for data mapping new client implementations, Gather/validate requirements with stakeholders and the project team, Discuss issues and questions related to claims data analysis, issue documentation; work with business stakeholders to review and resolve these issues, Perform data analysis, using in-depth knowledge of databases and healthcare data, Support all phases of the software development lifecycle (SDLC), Work as part of an Agile team, Map data from one format to another Expert level (broad and wide) understanding of health care data relevant to both payers and providers. both financial and clinical. Validating and transforming health care claims, membership, provider, and enrollment data. Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Experience 12+ years of experience as Data Analyst. Expert level (broad and wide) understanding of health care data relevant to both payers and providers. Validating and transforming health care claims, membership, provider, and enrollment data. Experience with SQL writing data transformations. Experience as an individual contributor, hands-on developer, non-manager role executing on engineering projects as a primary job responsibility. Demonstrated knowledge of data management best practices Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Good knowledge in MS SQL. ETL SSIS. Python. Alteryx. Shell Scripting knowledge. Primary Skill - MS SQL. ETL SSIS. Python. Secondary Skill- MS SQL. ETL SSIS. Python. Alteryx. Shell Scripting knowledge. 11 Data Analyst ETL Roles and responsibilities Responsible for data mapping new client implementations, Gather/validate requirements with stakeholders and the project team, Discuss issues and questions related to claims data analysis, issue documentation; work with business stakeholders to review and resolve these issues, Perform data analysis, using in-depth knowledge of databases and healthcare data, Support all phases of the software development lifecycle (SDLC), Work as part of an Agile team, Map data from one format to another Expert level (broad and wide) understanding of health care data relevant to both payers and providers. both financial and clinical. Validating and transforming health care claims, membership, provider, and enrollment data. Effectively create Data Transformation that addresses business requirements. Build, optimize and manage data processing to support data integration for reporting and analytics. Experience Functions may include database architecture. engineering. design. optimization. security and administration as well as data modeling. big data development. Extract. Transform. and Load ETL development. storage engineering data warehousing data provisioning and other similar roles. Responsibilities may include Platform as a Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services. providing sizing and configuration assistance. ensuring strict data quality and performing needs assessments. Analyzes current business practices. processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas. write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects develops and evaluates personnel to ensure the efficient operation of the function. Good knowledge in SQL. ETL Primary Skill - ETL Secondary Skill- MS SQL. ETL Regards, Shweta Sharma 732-743-7013 [email protected] 379 Thornall Street, 9th Floor, Edison, NJ-08837 www.i3nfotek.com -- Keywords: cprogramm continuous integration information technology microsoft New Jersey |
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| Wed Oct 18 20:02:00 UTC 2023 |