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Entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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A passion for solving business problems using data driven methods and information (data discovery, data visualization and data mining) This person will be the subject matter expert for the Arby’s brand team and be experienced in identifying research methodologies, conducting consumer research, executing product tests, and turning data into actionable recommendations for maximum impact.
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Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field. Assist with data consolidation and organization to create a searchable innovation knowledge center.
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Familiarity with data visualization tools, such as Tableau or Looker. Provide on-call technical assistance to data engineering teams, responding to inquiries relating to query optimization, reporting anomalies or complex data pipeline issues.
$82,000 - $108,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description Computer Data Entry Work from Home Part Time Job Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
$39,382 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau.
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Proven ability to perform analytic tasks (including but not limited to data mining, segmentation, randomized test design, forecasting, data visualization, etc.) Must be proficient in the use of Microsoft Power BI desktop, with advanced knowledge and experience loading and transforming data within the tool, and writing and editing DAX programming.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Be it implementing core MDM solutions, or establishing platforms for operational management, that collects and provides critical data, as Product Director, you get to shape the product strategy and vision, while delivering value for the stakeholders.
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Write program/code in SQL and / or leverage Cloud Technologies such as Snowflake or Databricks to cleanse, apply business logic and standardize the data according to business rules, enabling more effective data governance along with clear and efficient end-user reporting.
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Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users. Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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