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Support the data warehouse in identifying and revising reporting requirements as well as initiatives for data integrity and normalization. Experience using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
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The Lead Data Analyst will support delivery across multiple data platforms including the cloud-based Data Analytics Layer (DAL) and the on-prem Enterprise Data Warehouse (EDW.
$164,010 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Architecture experience with AWS Database / Data Warehouse / Data Platforms (Kinesis, Glue, Redshift, S3,) - They have no interest in folks with just Azure or GCP. Data streaming / Realtime data transfer.
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Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g., Eagle, State Street Alpha platform.
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8 years of experience in data, analytics, AI/ML, insights, business intelligence, data warehouse products, platforms and applications. 5 years of experience in working as Solution/Data Architect on cloud platforms 4 years of experience with ETL/ELT design and development.
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Experience with cloud-based data warehouse/lake platforms, such as AWS data technologies, Databricks, and Snowflake. Broad experience with portfolio and order management systems (e.g. Factset, CRD/State Street Alpha), Investment data warehouse solutions (e.g. Eagle), modern cloud based data warehouses/lakes technology, BI tools, investor client reporting systems and client facing systems a strong plus.
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Expertise in Data Mapping: Proficiency in transitioning data from transactional applications to a data warehouse. ETL Process Development: Design and sustain ETL processes tailored to meet specific business and technical requirements, alongside the overall enterprise data integration strategy.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with dimensional modeling and knowledge of proper data structures for analytical reporting from an enterprise data warehouse. Understand data warehouse concepts and needs.
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The successful candidate will bring expertise with data management and business intelligence technologies and serve as a design and technical Subject Matter Expert on movement of data across transaction systems, extraction of same for use in data warehouse, and exposure in constructs (“universe”, “BISM”, cube) with the purpose of enabling an enterprise self-service environment at the firm.
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This person will assist in expanding equitable access to data by facilitating the accessibility and understanding of Edwin, the state's education data warehouse, to education agencies and researchers.
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Big Data / Data Lakehouse / traditional RDBMS/data warehouse/mart. Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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3+ years in Cloud Data Warehouse applications Snowflake, IICS, AWS and GitHub. 5+ years of experience in Database administration and Data Warehouse applications on AWS. Administer, configure & support Data Platform applications Informatica Cloud (IICS), Tableau, Cognos, SAS, GitHub and MOVEit MFT.
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Hands-on experience with data warehouse architectures, data modeling, ETL design, SOAP/REST API and cloud-based data integration techniques. Reporting to the Manager of Data Engineering, you will help define and support iRobot’s Enterprise Data Warehouse function and expand its capabilities to service a growing and diverse business user community.
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Contribute to platform ownership tasks such as permissioning, metadata management, and maintenance for the data warehouse and Looker platform. As a Principal Data Analytics Engineer at CarGurus, you will be responsible for transforming raw data in the data warehouse into clean, reliable, organized data models that allow our organization to make informed data-driven decisions.
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warehouse job Title: data in Watertown, MA
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