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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Deep understanding of distributed computing principles, data management concepts, and big data ecosystem components (e.g., Hadoop, Spark, Kafka, Apache Delta Lake ). Hands-on experience with cloud platforms ( e.g., AWS, Azure, GCP ) and containerization technologies ( e.g., Docker, Kubernetes ), code management tools and frameworks ( e.g., Ci/CD, Git ) for understanding and managing big data solutions.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Advanced Data Analytics: Perform complex data analysis involving predictive modelling, regression analysis, and statistical testing to inform business decisions and strategy.
$85,000 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaboration: Collaborate with cross-functional teams, including data science, analytics, and IT, to ensure seamless integration of data solutions. Expert-level knowledge of SQL (ideally DataBricks), dbt, and Python is required.
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Data/Analytics: Splunk, Tableau, Power BI, Click. Data Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS. Security: Okta, Crowdstrike, Palo Alto, Proofpoint, Cyber Ark, Sailpoint, Fastly, Fire-Eye, Fortinet.
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Demonstrated interest in AI technologies and willingness to learn how AI can enhance HRIS platforms like Workday, including basic understanding of machine learning concepts, natural language processing, and predictive analytics.
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As a Client Advisor, you will primarily focus on driving conversations with technology C-levelsin digital transformation/agility and cybersecurity, leading these conversations with our professional services and solutions.
$100,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python. Lead data driven predictive techniques/analysis to ensure quality before product manufacturing.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Strong analytic skills and proficiency in data analysis tools (e.g., Google Analytics, Google Digital Marketing and E Commerce, Meta Certified Marketing Associate, Certified in Creative Strategy, Solid Creative knowledge and application.
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Bachelors or Masters in engineering, math, physics, computer science, economics or equivalent Preferred Skills Experience with Snowflake, Azure Power BI Certifications Experience in an Agile environment Experience with Python for data analysis and automation tasks.
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Utilize data analytics to monitor and measure the effectiveness of growth initiatives. CRM (Email Marketing, SMS marketing) and proficiency with Shopify, Google Analytics, Looker and other analytics.
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big data python r predictive analytics jobs in Dallas, PR, France
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