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The Financial Analyst Associate works under the direction of the Team Manager of Financial Planning & Analysis and plays a key role in Quarterly Results summarization, Reinsurance data prep, and monitoring risk for the organization.
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Members of the Baseball Systems Team at the Boston Red Sox are focused on designing, building, and refining the software and data pipelines used within Baseball Operations. These tools and applications are an integral part of the decision-making process, are directly integrated in the workflows of all departments within Baseball Operations, and provide an efficient, consistent, and accessible experience when interacting with our internal data sources and applications.
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Expected Qualifications: Demonstrated knowledge and teaching experience in at least one of the following areas: Statistics, Data Analytics, Data Visualization with different tools, Python, Data Management & SQL, Data Engineering, R Programming, and/or Machine Learning.
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Our team works on diverse industry areas such as generation – thermal, hydropower and other renewable sources of energy, transmission and distribution, oil and gas, and mining. Experience in the design of civil infrastructure such as site planning, roads, drainage, grading, earthworks, containments, deep excavations, ponds, storm water management and erosion and sedimentation control water systems, sanitary sewer systems and other municipal infrastructure.
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The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results.
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Experience with pharmaceutical data sources (e.g., IQVIA or Symphony claims, specialty pharmacy data, and Syndicated data sources); Deep understanding across various pharmaceutical data facets/processes, including data creation and acquisition, management, governance, data quality, integration, visualization and statistical modelling.
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Experience with hydraulic/hydrology modeling software such as HEC-RAS, HEC-HMS, SWMM. Strong understanding of civil earthworks, grading and stormwater drainage design including environmental and geotechnical requirements.
$93,400 - $135,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Help implement data governance policies wherever the data is accessed (Databricks, Snowflake, Spotfire). Azure Data Factory, Databricks (PySpark) and Snowflake preferred. Familiarity with both batch and streaming data operations.
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Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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More specifically, this person will participate the design of genomic studies in preclinical and clinical research, implement cutting-edge informatics and statistical methods and tools to analyze the data including WGS/WES/targeted sequencing, RNAseq, proteomics data, metabolomics data, etc, and perform integrative analysis of genomic data and available clinical data in clinical trials.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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This candidate will be responsible for implementing state-of-the-art data visuilization algorithms, developing real-time large scale rendering capabilities, and discovcering novel ways to interact with large Computational Fluid Dynamics (CFD) data sets.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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data mining jobs Title: financial analyst in Boston, MA
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