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The Data Analyst works to articulate a story, find key insights, and summarize our products through data integration from upstream departments and transforming the data set into actionable deliverables to downstream stakeholders.
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Bachelor’s Degree in Mathematics, Computer Science, or related coursework, or 3+ years in a Data Analyst/Data Mining role. The HMIS is the central database to collect, track, analyze and report uniform client and activity data regarding the provision of shelter, housing, and services to individuals and families experiencing homelessness or who at risk of homelessness within the Contra Costa CoC region.
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The general requirements of this regulation are written into the responsibilities that will be required of this data analyst, and the specific requirements will be written into the Scope of Services upon hire.
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Garner key insights from data and communicate these findings to key stakeholders to help make data-driven decisions; key technologies include SQL, Python, R, Tableau, Microsoft, and Google suite of tools.
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Mohawk is looking for a Sustainability Data Analyst who can do more with Mohawk. Lead project-based work that could include but is not limited to projects specific to gathering and validating data for regulatory reporting (EU CSRD, EU Taxonomy, California Climate Rules), voluntary frameworks (GRI, TCFD, SASB), surveys (CDP Climate, CDP Water, CSA), and any additional needed data for the annual ESG report in the global ESG data platform.
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The Master Data Analyst is responsible for working with a cross functional team to set up new materials and maintain all fields and processes associated with them. The analyst will also manage any changes needed and to audit any master data issues that arise.
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We now need a Data Warehouse Analyst to help in our growth journey! Data Warehouse Analyst. Experiences with the design, development, and operations management for on-premise, cloud, SaaS-based data warehousing and analytics solutions such as Microsoft Azure (must have), AWS, SAP, and Snowflakes.
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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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The Senior Data Analyst will have experience in consolidating data by designing and developing methods and processes. Bachelor’s degree in data analytics, computer science, electronics engineering or other engineering or technical discipline and 8 -12 years of relevant experience.
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Working under the direction of the Senior Manager for Data Services, the Planning Data Analyst will provide data analysis and visualization support to 60staff related to the Community Development Department.
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The Research Data Analyst I (Bioinformatics) will be responsible for conducting bioinformatics or statistical analyses in R, Python, SAS, or some other statistical software package under supervision of Principal Investigators from the Gastrointestinal Oncology (GI) Program.
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As a Data Analyst/Technical Marketing Specialist, you will play a critical role in optimizing marketing strategies, improving performance, and driving revenue growth through data-driven decision making and technical expertise.
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We are seeking a highly motivated Business Analyst to join our team in the data quality space. - Define data mapping and lineage to produce accurate reconciliations across multiple sources.
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Treasury Data Analyst (W2 Contract) The primary responsibility of this role is to provide critical thought-leadership using data and analytics on Interest Rate Risk (IRR), Liquidity Risk, Funds Transfer Pricing (FTP), Valuation, and Financial Forecasting utilizing measures such as Net Interest Income (NII), Earnings at Risk (EAR), Economic Value of Equity (EVE), and other Key Risk Indicators.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Title: data analyst Company: Itemize
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