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Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Under moderate supervision, the Master Data Analyst responsible to perform data entry in SAP, extract Data from SAP, perform data validation and analysis, make recommendations to improve data accuracy monitoring and reporting, perform data clean up, create documentation, and proactively engage in standardization on business processes.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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Exception reporting tools, data mining tools, online sales vehicles and remote video to drive investigations pertaining to external theft and fraud in assigned market. Under the general supervision of the Lead Loss Prevention Manager (ORC), the Loss Prevention Manager - ORC is responsible for the analysis of Loss Prevention system data, produced through various software applications and video systems, for possible fraud, procedural violations, and training opportunities pertaining to external theft focused on Organized Retail Crime in an assigned market.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs. Mammography Tech II - Breast Imaging Center Location: Baylor University Medical Center- DallasUnit: Baylor Breast Imaging CenterShift: Monday- Friday, 8a- 4:30p.
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We are seeking candidates experienced in Digital Transformation, particularly those proficient in Data (SME), and skilled in forming Strategic Partnerships with data platform companies like Snowflake and Databricks.
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Familiarity with big data / visualization tools such as Power BI, Tableau, and the core concepts of relational data. Research and analyze data to identify trends, patterns, and insights that inform business decisions.
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Our U.S. Texas and lower central region Planning & Asset Management business has seen consistent growth driven by our clients needs to address challenges stemming from population growth, aging infrastructure, system reliability and resilience concerns, the need to improve operational efficiency, water quality regulations, integration of water and wastewater systems, and the use of big data to help guide decision making.
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Experience with RDBMS, Data warehouse/Data Lake platforms like Oracle, Teradata, Snowflake, BI and ETL tools DataStage, Tableau. Detailed understanding of the Cloud Infrastructure for building & maintaining large data enterprise in cloud platforms like GCP (BigQuery, BigTable, DataFlow, DataProc, DataPrep, Pub/Sub, Machine Learning.
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Technical background/experience (minimum 5 years) with implementing projects centered around ESRI based Geographic Information Systems (GIS) technologies for managing linear referencing systems (LRS) and other transportation, roadway or civil engineering data.
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Data Center construction experience preferred. This individual will be responsible for the day-to-day coordination of all aspects of the mechanical, electrical, plumbing, fire/life safety, low voltage system, and fire sprinkler scopes of a project(s.
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Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy and Data Governance.
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data entry jobs Company: Health Ecareers in Dallas, FL, Germany
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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