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As a Product Marketing Manager, you'll collaborate closely with our Marketing, Growth, Partnerships, Product, Data, and Engineering teams to help us define a GTM strategy that helps achieve our ambitious growth goals.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.
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Experience: 10+ years of IT experience with minimum of 5+ years of hands-on Project Management experience with at least 3 years in Data warehouse, big data (Cloudera or AWS, etc), Business Intelligence (MicroStrategy or Tableau or Cognos or Business Objects, etc), or Analytics projects.
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Your experience must include experience applying technical knowledge of servers, data, security, contracting, funding, workload identification and development, work requests, storage systems, software applications, IT approval processes and Internal Revenue Service (IRS) applications such as Case Built File System, Specialist Referral System, DataMart, Large Business and International (LB&I) Workload Identification System, and Compliance Data Warehouse.
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Extensive experience with Salesforce and at least one marketing automation platform (e.g. Marketo, Pardot, Hubspot), data warehouse, and reverse ETL. Keep our Salesforce and Hubspot data clean and organized, ensuring our marketing database is accurate and up-to-date.
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This role will work as a member of a team of data warehouse professionals, under the direct leadership of the Data Warehouse Competency Center Team Lead. As the Data Warehouse Architect, the person will be expected to provide forward-thinking to the VWoA enterprise data warehouse and solidify this asset as one that provides high business value, flexibility, and usability for all business areas.
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Experience with data warehouse platforms (e.g. Redshift, BigQuery, Databricks, Experience with a workflow manager such as Airflow. You will help develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service.
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Proficient with Excel and SQL and prior experience with data warehouse and analytical tools (e.g. Looker). Own the consumption of financial data from Affirm's proprietary systems for financial reporting; champion data accuracy, integrity, transferability, and ease of use from system to system (e.g. disbursements system, front office ledger, back office ledger.
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Oversee the administration and data transformation of onboarding data into our Enterprise Data Warehouse Platform; 3rd party submissions; vendor or customer needs. Database and Query Languages - CCL, SQL, Nomad, Oracle, Vertica, SnowflakeVisualization tools - Tableau (preferred), Spotfire, Sisense, Qlik or Microsoft PowerBIData Visualization Server Administration tools - Tableau Core and Data Management ServerData Prep/Transformation tools - Tableau Prep, Hadoop, Alteryx, Paxata, Trifacta, Altair, TalendStatistical tools - R, SAS, SPSS, Matlab, MinitabData Science tools - R, Python, SAS, dataiku, DataRobot, Cnvrg, Anaconda.
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Knowledge of database concepts and SQL.Experience with data ingestion tools like Apache Kafka or Apache NiFi. Familiarity with data warehouse concepts and technologies. Experience with cluster management tools like Apache Ambari or Cloudera Manager.
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Experience as a Business Analyst leading or participating in the technical implementation ofpension/retirement-related software development projects - especially Business Intelligenceand Data Warehouse solutions including the following areas of focus.
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ComExperience working with large diverse teams of Data Engineers, Modelers and Architects co-located in multiple geographiesUnderstanding of concepts such as Data Lake, Data Warehouse and Data MartsFamiliar with tool set - Informatica, Vertica, EDW, Tableau and MicrostrategyBasic understanding of Cloud services such as S3, EMR, EC2 in AWS ecosystem.
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To support ERP & Application Manager in implementing and maintaining an integrated ERP, MES, LIMS, EPIMS, CMMM, CRM, LMS, other satellite systems, data warehousing integrating relevant data from all the systems to provide business reporting to the business users.
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Reporting to the Data Engineering Manager, the Data Engineer (Data Modeling)will work closely with the Data Architect to implement the Data Model. Work with the Data Architect to define and enforce data warehouse standards that align with the larger data management guidelines in place.
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Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling. Additionally, provides direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.
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