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Knowledge of analytics tools like Tableau, Power BI, Excel VBA Macros, RSPSS, SAS is an added advantage. Generate business insights using BI dashboards that shall provide clear directions/actions to senior managers to support decision-making.
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Data Visualization Tools: Tableau, Power BI, ggplot2 (in R) Bachelor's or Master's degree in Health Informatics, Statistics, Public Health, Epidemiology, or a related field. Statistical Software: SAS, R, Python.
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Our ideal candidate has experience with data visualization tools like Power BI, IBM Cognos Analytics, IBM Planning Analytics, SQL, and advanced Excel skills. 3+ years of reporting/dashboarding on modern analytical systems like IBM Cognos Analytics, IBM Planning Analytics, Power BI, Tableau etc.
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Knowledge of data visualization tools such as Tableau, Power BI, or QlikView for creating interactive and meaningful visualizations. Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake.
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Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services. Fixed Income Investment Technology (“FIIT”) group builds software that the Fixed Income business of AB uses in performing functions such as Fundamental Research, Quantitative research, Portfolio Management, Order Generation, Trading and Middle office and BackOffice operations.
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Our ideal candidate has a strong understanding of the legal industry and is proficient in using Aderant, Elite Legal Billing system, SQL, Excel, and Power BI. Strong knowledge of SQL, Excel, and Power BI.
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Proficiency in data analysis tools (e.g., Excel, SQL, Power BI) and familiarity with ERP and demand planning software. Attend and actively participate in supply chain meetings, providing insights and recommendations based on demand planning analysis.
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Experience in using business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data (SSRS, Power BI, Tableau) Strong understanding of statistical probability distributions, bias, error, and power as well as sampling and resampling methods.
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Knowledge of analytical tools such as Business Objects, Tableau, and Power BI. Our associates also get to help us make a difference in our communities through our Zero Hunger | Zero Waste and Framework for Action: Diversity, Equity and Inclusion plans.
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Experience using market BI tools such as Power BI, Tableau, MicroStrategy, QlikView, etc., a plus. Coordinates intake through established pipeline with HIM team members, IT BI, IT Data Science, IT Product Development, and other stakeholders.
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Specialized Skills and Experience: At least two years of logistics, supply chain, or finance analysis Proven experience in data analysis, preferably within a logistics or supply chain context Previous experience with JD Edwards, Microsoft Excel, and Power BI. Strong understanding of logistics and supply chain operations Excellent problem-solving and critical thinking skills Project management experience is a plus.
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Familiarity with data visualization tools (e.g., Tableau, Power BI) Experience with Databricks for data engineering and analytics preferred. Knowledge of big data technologies such as Apache Spark.
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Assists in administration of HIM Business Intelligence (BI) reporting tools, sites, adhering to content publishing standards set forth by established governance bodies. Completes projects in collaboration with HIM department team members, IT BI, IT Data Science and other various roles to evaluate outcomes across enterprise.
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Advanced/Expert level proficiency in MS Excel is required with experience in Power Query, Power Pivot, Power BI, SQL or Teradata, and Alteryx preferred. Advanced/Expert level proficiency in MS Excel is required with experience in Power Query, Power Pivot, Power BI, SQL or Teradata, and Alteryx preferred.
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Map business requirements to source data structures and develop visualizations and models from data located within multiple data stores utilizing data solutions such as Power BI, Oracle and Qlik.
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