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Expertise in some of the following leading data and analytics technology stacks, such as Azure (ADF, Functions, Event Hub/Grid, Streaming, Synapse), AWS (Kinesis, Firehouse, Glue) Snowflake, DBT, Databricks, Informatica, DBT, Denodo.
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Experience with data visualization tools like Tableau, Power BI, or similar. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics.
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Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc. Data Technology leader and subject matter expert with deep knowledge for a given set of Data technologies and applications as well as related processes.
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Strong commercial experience with Python and data visualization, along with proficient knowledge of Python, R, and Scala, with an emphasis on sports data. MSc or PhD level education in STEM subjects, with a strong focus on sports analytics or a related field.
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QualificationsBasic Qualifications:> 5 years of experience in data, data management, reporting, business intelligence, product development> 5 years of experience across the entire enterprise data center stack from the hardware to the application layer> 4 years' experience on Data visualization (Tableau/PowerBI)> 3 years' experience on Data modeling (SQL, Excel)Skills Desired:> Proficiency in MS Office applications, i.e., Excel, PowerPoint.
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JOB DESCRIPTION AND POSITION REQUIREMENTS:We are searching for a Visualization Technology Lead Engineer to join our Visualization and Decision Support Division in the Applied Research Laboratory (ARL) at Penn State University (PSU.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000’s of candidates get jobs at technology clients like apple, google, Paypal, western union, bank of america, visa, walmart labs etc to name a few.
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Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools (Python, R, SQL, Tableau, Microsoft Office. Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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We are looking for a self-directed professional to support Digital Health Technology [DHT] (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Biomeasures Endpoints and Study Technologies (BEST) projects.
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Experience with Tableau, PowerBI, or similar data visualization software. Familiarity with Ellucian Banner or other higher education student information system. This position will work collaboratively to support the Enrollment Management leadership team and campus partners (Information Technology, Financial Aid, Provost Office, Institutional Research, etc.
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Proficiency in data-oriented programming languages (e.g., Python, R, SQL) and visualization tools (e.g., Tableau, Power BI). This role requires expertise in data-oriented programming languages and visualization software, as well as proficiency in data mining, data modeling, natural language processing (NLP), and machine learning (ML) to extract and analyze information from large structured and unstructured datasets.
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Description Manager Visualization, Data Engineering to oversee and enhance our data visualization infrastructure and ensure the highest standards of data integrity.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Train users on how to use the Qlik Sense tool for reporting and data visualization to include communicating best practices. Manage data connections and extensions to select and load data using security rules.
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education technology data visualization jobs Title: senior manager Company: Amazon
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