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You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
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Experience developing or contributing to Data Strategy and knowledge of 2nd and transparent 3rd party (non-DMP) data sources for the purposes of data partnerships and audience building.
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Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights, content and creative production, communications and strategy, finance and marketing, and sociology, psychology, and other liberal arts disciplines.
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Develop roadmap for data strategy for Quote to Cash leveraging processes and key tools (including BI, Data Engineering, Data Literacy, Data Governance, and Data Science.
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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
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Recruit and activate volunteers to drive a major gifts strategy as part of the individual giving program. Activate and lead a comprehensive individual giving program that facilitates donor acquisition and retention at all giving levels through the implementation of donor strategy plans and stewardship processes that support a culture of philanthropy.
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Support land, greenfield and development teams in siting strategy and support decision-making and negotiations with robust quantitative data. You will work closely with the business development and greenfield teams on early development prospects for wind, solar and storage development to ultimately fulfill the company's renewable energy aspirations and growth strategy within North America.
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The role reports to the Head of Strategy , and Analytics within Morningstar’s People & Culture (HR) function and will work closely with technical /systems experts in Workday, Tableau, PowerBI , and Qualtrics to maintain and advance data/analyt ics cap abilities within an articul ated people analytics strategy you’ll help to develop.
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Work cross functionally with the Field Sales team, Shopper Marketing, Media, Category Insights, DCOE, Compliance, National Accounts Sales Analysts, the Distributor Network, and outside agencies to align chain specific program goals and go-to-market strategy.
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Familiarity with Azure Resources like Key Vault, Data Factory, Azure Databricks and Storage Accounts is a plus. Instrumentation strategy and Site Reliability Engineering (SRE) As their trusted advisor, we support our clients to deliver on their strategic business initiatives as they unify, automate, and modernize their data and operations to increase efficiency, reduce costs, and enhance their customer's experience.
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Which is a Senior Manager level position) this means a client-facing engagement, managing escalations, and serving as a the owner of a workstream; maintaining expertise in your domain; meaningfully contributing to the sales process through a mix of RPI development, client presentations, financial modeling, pricing strategy, and flawless delivery; creating service offerings and/or client partner training materials; and contributing to People Care initiatives, recruiting, and mentoring.
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To support this vision, Kimberly-Clark North America (KCNA) is investing in the growth of our high-performance Data Science and Advanced Analytics Strategy team and we are looking for entrepreneurial-minded innovators to join us in our journey.
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Proven Experience working with CIO/ Chief Data / Analytics officers to shape data strategy, implementation and build of data platforms on newer tech stack on the cloud. Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Data Strategy: Experience developing or contributing to Data Strategy and knowledge of 2nd and transparent 3rd party (non-DMP) data sources for the purposes of data partnerships and audience building.
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To deliver this we provide customer strategy, technology implementation, data solutions, business change management, user experience design and development, marketing activation and advanced analytics services to help clients achieve rapid time-to-value from Adobe technology.
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data strategy jobs in Chicago, IL
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