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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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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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Job Summary The Data Analyst assists with managing and analyzing data within the Office of Institutional Success and Decision Support (OISDS). Assist with collecting survey, focus group, and interview data for the assessment and evaluation of institutional effectiveness, university programs, and student success initiatives.
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Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis. · Technical projects and upgrades · Business functional projects QUALIFICATIONS Knowledge & Experience · Working technical experience with designing, building, installing, configuring and supporting multi-terabyte data warehouses.
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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Requirements: Requires a Master’s degree (or foreign equivalent), in Statistics, Business Analytics, or related field and 2 years of experience as Data Analyst, Statistical Analyst, Data Scientist, Pricing Analyst, Predictive Analyst, Modeler, Lead Consultant or related position performing Big Data Analytics.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) Understanding and being highly proficient at querying a wide variety of healthcare data and related population data (medical/pharmacy claims, behavioral health claims, health care management (HCM) records, electronic medical records (EMR), provider databases (AMA, NPI, DEA, etc.
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The Role: The Director of Data Engineering, owns the data strategy, architecting the right data platform, and serving analytics ready data products to meet business needs.
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Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries.
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As a premier IT-staffing agency, our specialist recruiters are trained to review, interview, and assess candidates in the fields of Artificial Intelligence, Data Science, Cloud Computing, DevOps, Cybersecurity, AR/VR, and other future-forward IT parallels.
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Job Title: GCP Data Engineer( With Teradata) Location: Irving, TX Duration: Long-term Technical Skills GCP Services: DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis Programming languages: Java, Python Database: Teradata, BigQuery/BigTable Should have GCP Certification.
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You will work with product owners, architects, developers to build real time/ near real time scalable data integration solutions to enable our Data & Analytics platform in providing relevant, timely and accurate data to self-service BI tools, web platforms via APIs and Data science tools.
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Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Proficiency in working with modern columnar data warehouses, such as Snowflake, Redshift, or BigQuery.
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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Experience with DBMS, Data Warehouses, designing and implementing complex data transformations to build real-time data pipelines and provide the business users with the most accurate, actionable data to make decisions.
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data science jobs Title: data analyst business intelligence in Highland Park, TX
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