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In the role of Data Analyst, you will work across Data Analytics, Data Engineering, BI Engineering related tasks, exercising excellent problem solving, data wrangling and analytical storytelling You will be responsible for helping to transform data from our services and existing reports and Tableau dashboards into consumable data Explores and dashboards in our platform.
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This position will sustain a key role in the design, implementation, and documentation of profitability solutions, streamline report development and production, integrate financial systems and data, and sustain and navigate ongoing evolution of financial reporting needs.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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Must have experience in: Performing advanced statistical analysis techniques and leveraging BI tools (e.g. Looker, Tableau); Utilizing Google Analytics, GA360, GA4, and/or Adobe Analytics to perform data mining and analysis; Facilitating the collection and sharing of data between various technologies/mediums using tagging tools (ie: Google Tag Manager, Tealium, and/or Adobe); and Tracking complex data and consolidating customer profiles utilizing data warehouse or.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Deliver insights to help our clients turn data into action as a Data Analyst Senior at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission.
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Knowledge, Skills, and Abilities (KSAs): Data Integration; SAS Tools; SQL/SAS; Web Report Studio; Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management.
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This role requires expertise in PySpark, Airflow, DBT, and Databricks to drive high-performance data processing and analytics. Optimize Databricks for seamless data integration and high-performance analytics.
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Experience with machine learning methods and data mining, utilizing advanced analytical techniques, algorithms, and methodologies (Python, R, SAS, etc. Advanced degree or certification preferred, in Data Mining/Science, Statistics, Computer Science, Analytics, or related field.
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5+ years of experience in Business Intelligence/Decision Support/Data Engineering/Data Warehousing roles working with multiple disparate, large, complex datasets requried. Experience working with Python, R, particularly for ETL or Data Science related tasks.
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This role will be based on site at either of our locations: Los Angeles, CA or New York, NY. About the Role We are seeking a highly analytical and data-driven Digital Media Analyst to join our Brand Partnerships team in Los Angeles on a contract basis for four months.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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This role utilizes data both internal and external to AHF to show the impact of AHF’s work and guide a path forward. Providing reports on new data releases from the CDC and other trusted resources, creating reports on AHF’s impact in our local jurisdictions, and communicating with other teams and departments across AHF to ensure public health interests are highlighted and data is accurate.
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Master's degree in Student Affairs, Higher Education Administration, statistics, data analysis, or related field is preferred. Familiarity with software and tools common to large-scale data collection, assessment and evaluation, statistical analysis, and data visualization: Qualtrics, SPSS, R, Excel, Tableau, D3, Plotly, etc.
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data mining jobs Title: data analyst Company: Inspyr Solutions in Los Angeles, CA
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