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Data visualization with a tool like Tableau or Looker to build dynamic/scalable dashboards and reports. Experience with data extraction, manipulation, and blending across different data sources (Google Analytics, DoubleClick for Publishers, SQL Server, Snowflake, AWS, Salesforce, flat files, etc.
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Bachelor’s degree in Business Analytics, Data Analytics, or Business Management and Analysis, or three (3) or more years of Business Analyst or Warehouse/Inventory Analyst experience. This position’s primary responsibility is to provide administrative and analytical support to the Charlotte Fire Department Logistics division as the Inventory Data Analyst.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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The Data Scientist – Electric Vehicles is a key role on the Energy Storage Data Science Team. Energy Storage Data Science is a collaborative and impactful team of engineers, scientists, problem-solvers, and strategic thinkers.
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2+ years of data warehousing experience (Redshift or Snowflake) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
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Work at Home Data Entry. Work from home as data entry clerk and take surveys to earn Money. Get a first look at new products and services as a data entry clerk, participating in product testing or providing valuable feedback.
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The ideal candidate will have a strong background in data analysis, proficiency in PowerBI, expertise in data modelling, and hands-on experience with Microsoft Dynamics 365 Finance and Operations (F&O), D365.
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Experience using Modern Data Platforms & Tools; Azure Data Lake, Databricks, Delta Lake. Experience using scripting tools/languages for data manipulation/analysis; Python, SQL preferred but experience in other languages acceptable.
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Ability to obtain or currently hold one or more of the following certifications: SAS Certified Big Data Professional, SAS Certified Data Scientist, Certification of Professional Achievement in Data Sciences, Certified Analytics Professional, CFE, CIA, CISA, CPA, CAMS, or CRCM.
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Field Data Specialist ESSENTIAL SKILLSAttention to detail and accuracy: Following client-specific instructions, find, survey, and enter data without errors to ensure quality and credibility of site survey property inspection plans.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Hands-on experience with data security tools and technologies, such as encryption, data loss prevention (DLP), hardware security modules, and managing a hybrid environment inclusive of public cloud, private cloud, and traditional on-prem.
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Title: data in Charlotte, NC
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