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As a paid Data Analyst intern in the IT Enterprise Platform Department, you will have the opportunity to gain hands-on industry experience while being immersed into Abt’s organizational culture.
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The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.
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Provide guidance and direction for business intelligence capabilities for the DCRI Lead efforts in data mining and analytics in support of BI efforts and projects for the organization; continually look for opportunities to diversify and draw from multiple disparate data sources, both structured and unstructured Identify and apply BI tools and software to perform data engineering and data analysis.
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DE designing large data sets and implementing pre-aggregations to avoid data consolidation as a part of larger data strategy initiatives; processing and preparing data for analytical insights using Snowflake modeling patterns; planning, designing, and implementing diverse Business Intelligence (BI) dashboards to visualize data using OBIEE, Power BI, Tableau, and MS Excel.
$60 - $65 an hourExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Developing and implementing data entry and data management training programs and resources is helpful but not required. For studies reporting to the FDA, coordinate the CDISC and CDASH data standard setup and the CDISC dataset transformation tasks.
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1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked Minimum Education Bachelor Additional Qualifications: Field of Study Biology Computer Science Statistics and Decision Science Software R Python Linux Shiny HTML Skills Scientific Data analysis Data visualization Data processing Data integration Machine learning Apply now.
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Familiarity with using Databricks or a similar platform for data engineering & data science. Databricks data engineering certification preferred. 4+ years of experience covering Big Data, Streaming, and Data Engineering related technologies such as spark, using scripting languages such as Python and using object-oriented languages such as Java/Scala/C.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expertise with data warehousing and database systems such as Amazon Redshift, Google BigQuery, Snowflake, or similar tools. Be an expert on Adwerx's reporting systems and data flows (currently Tableau, Amazon Redshift, DBT, and Apache Airflow), including troubleshooting data issues and implementation of new data streams.
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OBIEE and Power BI; preforming data profiling and analysis using Informatica Data Quality (IDQ); pre-processing data to identify macro trends or information. DE performing ETL operations, using Informatica Power Center and Metadata Manager; developing data masking solutions using Unix shell script; and creating functional and technical design mapping templates and solutions for data migrations using Workday I Loads.
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Experience with preferred cloud data technologies such as Oracle, Snowflake, PostgreSQL, GoldenGate, PowerBI/Tableau. You will be responsible for developing data architecture, data blueprints, hands on data modeling, design, data movement, master data management, analytics and enabling data science.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with data management practice including data integration, data security, data warehousing, data analytics, metadata management and data quality. In this leadership role you will drive innovation in the Data Strategy space for the Workplace Investing (WI) division of Fidelity Investment.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) performing data engineering and data warehousing development, using Oracle PL/SQL, Snowflake, AWS, NIFI, Python, and Informatica Power Center.
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We are currently seeking a Principal Data Analyst/Data Modeler with Cryptocurrency experience for our client in the Financial Services domain. Duration: 6+ Months ContractRole: Principal Data Analyst/Data Modeler with Cryptocurrency experiencePrimary Skills: CryptocurrencyRole Description: The Principal Data Analyst/Data Modeler must have at least 10+ years of experience.
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Marken is currently seeking an experienced Data Scientist to join our team, someone who is passionate about data-driven insights and has expertise in problem-solving, programming, statistics, machine learning, data analysis, data visualization, and exceptional storytelling skills.
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Primary Skill: Data Modeling, SQL, Snowflake, AWS, Hadoop, ERD/ Data Modeling, OBIEE, Power BI. Understanding of different database platforms (e.g. Oracle, Snowflake, Hadoop, Microsoft SQL Server) usages (OLTP Recordkeeping, ODS, MDM, Warehousing, and Data Lakes.
ExpandApply NowActive JobUpdated 7 days ago
Title: data entry Company: Data Entry Work in Durham, NC
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