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Python)Experience with data modeling (Eg. Kimball, Inmon), data warehousing, and working with ETLExperience working with large-scale, complex datasetsExperience with business intelligence tools (Eg. Power BI is highly preferred, Tableau)Skills, Abilities, Knowledge:Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
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Experience in ERP manufacturing systems and aptitude with Business Intelligence reporting software (Power BI, Tableau, etc). Forecast and manage expenses related to capital expenditures, operations, warehousing and logistics.
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Utilize programming languages like DataBricks, SQL, Python, and RDBMS and NoSQL databases and Cloud based data warehousing services such and Snowflake. This role will participate in these activities as well as build new automation using databricks, tableau, and enterprise tools.
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2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 5+ years of experience in application development including Python, SQL, Scala, or Java.
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Identify and supervise best practice techniques in our Data Team’s usage of our development, pre-production, and production platforms and tools, including Google Cloud Platform, BigQuery, Cloud Storage, Cloud Composer, Tableau, Apps Script, Jira, Bitbucket, Google Workspace, Professionalize the Team’s testing, deployment, and support practices with knowledge of CI/CD and SRE best practices.
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Basic knowledge of one or more business intelligence tools (e.g., Power BI, Tableau, Business Objects, QlikView, Oracle Business Intelligence, HPM, Minitab or similar.) Experience in Database Administration, Data Warehousing, Data Science, Big Data, Business Intelligence, Artificial Intelligence, Information Systems, Information Technology.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BL technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
$200,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data warehousing experience on platforms like BigQuery and Azure. Experience with data visualization tools like Tableau or Power BI. FanIQ partners with teams, schools, festivals, and venues to create custom content for use on social media platforms like Snap, TikTok, Meta, and Pinterest.
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Experience with Data Warehousing Solutions: Proven experience with Snowflake or similar platforms. Data Visualization Tools: Proficiency in using tools like Plotly, QlikSense, Tableau for data visualization.
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Proficiency in data visualization programs such as Tableau, Power BI, or Qlik. Advanced skills in interpreting and analyzing research data to compile and write technical reports and present findings.
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By leveraging cutting-edge tools like Snowflake for data warehousing and Tableau for data visualization, the Senior Data Analyst will drive the development of intuitive dashboard UIs, facilitating a seamless data-driven decision-making process across the organization.
$112,960 - $169,440Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Build a dashboard in Tableau or other BI tools that can be used by business stakeholders to track business KPIs and derive actionable insights to optimize their future strategy. You have good understanding of statistical analysis, data warehousing, data modeling.
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Senior Asset Liability Management Data Engineer page is loaded. Bachelor's degree in computer science, Data Science, Finance, Engineering, Financial Engineering, Quantitative Finance or related discipline required.
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Maintain technical proficiency in analytics and data warehousing technologies including, but not limited to, Tableau, Microsoft Stack(SSIS/SSAS/SSRS/PowerBI) and SAP Solutions (Crystal/Webi/Universe Design.
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
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