Amazon offers a 6-month finance internship in Madrid, involving data analysis, financial modeling, and process automation, with a notable focus on AI solutions. The internship's differentiator...
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Amazon offers a 6-month finance internship in Madrid, involving data analysis, financial modeling, and process automation, with a notable focus on AI solutions. The internship's differentiator lies in its start-up culture within a multinational environment, risking the typical corporate monotony. You may be led astray by the promise of career growth potential, but beware—it's an internship, not a guarantee of job security. The role emphasizes large datasets and AI, with the typical corporate benefits; salary details are not explicitly provided.
Product and Workflow Integration Consulting Manager, Command Center International
@ gehealthcare
ES | 2025-12-27
GE HealthCare seeks a Product Owner and Workflow Integration Consulting Manager who fuses analytics prowess with product leadership to deliver Command Center software for hospital operations. The...
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Product and Workflow Integration Consulting Manager, Command Center International
gehealthcare
(ES) FULL TIME | JOB LISTED
GE HealthCare seeks a Product Owner and Workflow Integration Consulting Manager who fuses analytics prowess with product leadership to deliver Command Center software for hospital operations. The role demands real-world expertise in hospital data interfaces, HL7 and FHIR, API data sources, and back-end HIS integration, plus hands-on work in predictive modeling, simulations, and real-time data optimization. You translate business needs into clear product specs and user stories, steer data collection and validation, and guide cross-functional teams toward measurable outcomes. Mentorship and senior stakeholder influence are core, and the job implies heavy travel (up to 75%) and a blend of consulting with product management. Strengths include exposure to enterprise healthcare data, data governance challenges, and practical analytics-to-product delivery. Watch for scope creep, regulatory nuance, and the tension between advisory leadership and hands-on delivery in a large corporate setting.
Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.
Wood Mackenzie presents itself as a seasoned global analytics partner for energy markets; the Data Analyst role puts that claim to the test by handling large, cross-asset datasets (renewables,...
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Wood Mackenzie presents itself as a seasoned global analytics partner for energy markets; the Data Analyst role puts that claim to the test by handling large, cross-asset datasets (renewables, conventional, storage) to forecast revenue and model power dispatch. Expect to automate workflows, fight data quality battles, and translate messy signals into actionable insights alongside research, product, and data engineering. Core tools center on SQL and Python for data handling, ETL and API integration, with visualization via Sisense, Power BI, or Streamlit; Snowflake is an advantage. The role rewards independent analysis and governance-minded collaboration, offering a tangible path to impact asset performance and revenue strategies. But the energy-domain complexity, governance demands, and plate-spinning between analytics and engineering keep it more craft than glamour, and compensation and growth signals aren't spelled out.
Fever seeks a senior analyst with a top-tier data-driven approach to shape business strategy using tools like SQL, Excel, Tableau, and Power BI; a unique opportunity to influence a global...
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Fever seeks a senior analyst with a top-tier data-driven approach to shape business strategy using tools like SQL, Excel, Tableau, and Power BI; a unique opportunity to influence a global entertainment platform, with the risk of high organizational exposure and demanding stakeholder management. The role offers direct interaction with executives, but the position's success hinges on translating complex data into actionable insights in a fast-paced environment.
Fever seeks a business-centric analyst with an emphasis on strategic and operational metrics, offering high visibility with executives as a key stakeholder; a potential risk is overreliance on...
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Fever seeks a business-centric analyst with an emphasis on strategic and operational metrics, offering high visibility with executives as a key stakeholder; a potential risk is overreliance on data-driven approaches that could overlook qualitative insights. The role involves designing performance frameworks and guiding growth initiatives in a fast-paced, international environment, with differentiator being direct collaboration with C-Level leadership. Exact salary not specified.
Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe...
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Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe Analytics, Piwik Pro), and visualization (Looker Studio, Power BI, Tableau). It asks for SQL, Python, and Google Cloud, with a bias toward BigQuery; evident focus on measurement plans, data quality audits, and cross-functional collaboration with developers. Strengths: solid exposure to end-to-end data flows, client-facing analytics strategy, and a chance to shape KPI ecosystems across multiple brands. Weaknesses: the title may overpromise on data engineering breadth; ambiguity in salary and career progression; agency pace can erode deep technical work; reliance on external data sources may complicate governance. Location options broaden access but imply travel or remote flexibility. Overall: practical in-market role for analytics engineers, not a unicorn.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
Publicis Groupe's Key Account Manager role centers on translating client aims into data-driven media strategies with a heavy emphasis on biddable channels. For data pros, the job offers exposure...
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Publicis Groupe's Key Account Manager role centers on translating client aims into data-driven media strategies with a heavy emphasis on biddable channels. For data pros, the job offers exposure to programmatic, search, and social buying via Google Ads, Meta (Facebook), and DSPs, plus measurement stacks like Google Analytics, Adobe Analytics, Looker, and Power BI. The role sails between strategy, budgeting, and executive storytelling, owning the performance narrative across English-speaking markets. The challenge is balancing global governance with local activation, ensuring time-to-market, and turning raw platform data into actionable insights. It stands out for its analytics-forward tilt in an agency setting, but it risks being more politics than code, with success tethered to client relationships and cross-functional coordination. Not a pure data engineering path; real value comes from turning dashboards into decisions.
Amazon offers a 6-month finance internship in Madrid, involving data analysis, financial modeling, and process automation, with a notable focus on AI solutions. The internship's differentiator lies in its start-up culture within a multinational environment, risking the typical corporate monotony. You may be led astray by the promise of career growth potential, but beware—it's an internship, not a guarantee of job security. The role emphasizes large datasets and AI, with the typical corporate benefits; salary details are not explicitly provided.
Product and Workflow Integration Consulting Manager, Command Center International
gehealthcare
(ES) FULL TIME | JOB LISTED
GE HealthCare seeks a Product Owner and Workflow Integration Consulting Manager who fuses analytics prowess with product leadership to deliver Command Center software for hospital operations. The role demands real-world expertise in hospital data interfaces, HL7 and FHIR, API data sources, and back-end HIS integration, plus hands-on work in predictive modeling, simulations, and real-time data optimization. You translate business needs into clear product specs and user stories, steer data collection and validation, and guide cross-functional teams toward measurable outcomes. Mentorship and senior stakeholder influence are core, and the job implies heavy travel (up to 75%) and a blend of consulting with product management. Strengths include exposure to enterprise healthcare data, data governance challenges, and practical analytics-to-product delivery. Watch for scope creep, regulatory nuance, and the tension between advisory leadership and hands-on delivery in a large corporate setting.
Wood Mackenzie presents itself as a seasoned global analytics partner for energy markets; the Data Analyst role puts that claim to the test by handling large, cross-asset datasets (renewables, conventional, storage) to forecast revenue and model power dispatch. Expect to automate workflows, fight data quality battles, and translate messy signals into actionable insights alongside research, product, and data engineering. Core tools center on SQL and Python for data handling, ETL and API integration, with visualization via Sisense, Power BI, or Streamlit; Snowflake is an advantage. The role rewards independent analysis and governance-minded collaboration, offering a tangible path to impact asset performance and revenue strategies. But the energy-domain complexity, governance demands, and plate-spinning between analytics and engineering keep it more craft than glamour, and compensation and growth signals aren't spelled out.
Fever seeks a senior analyst with a top-tier data-driven approach to shape business strategy using tools like SQL, Excel, Tableau, and Power BI; a unique opportunity to influence a global entertainment platform, with the risk of high organizational exposure and demanding stakeholder management. The role offers direct interaction with executives, but the position's success hinges on translating complex data into actionable insights in a fast-paced environment.
Fever seeks a business-centric analyst with an emphasis on strategic and operational metrics, offering high visibility with executives as a key stakeholder; a potential risk is overreliance on data-driven approaches that could overlook qualitative insights. The role involves designing performance frameworks and guiding growth initiatives in a fast-paced, international environment, with differentiator being direct collaboration with C-Level leadership. Exact salary not specified.
Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe Analytics, Piwik Pro), and visualization (Looker Studio, Power BI, Tableau). It asks for SQL, Python, and Google Cloud, with a bias toward BigQuery; evident focus on measurement plans, data quality audits, and cross-functional collaboration with developers. Strengths: solid exposure to end-to-end data flows, client-facing analytics strategy, and a chance to shape KPI ecosystems across multiple brands. Weaknesses: the title may overpromise on data engineering breadth; ambiguity in salary and career progression; agency pace can erode deep technical work; reliance on external data sources may complicate governance. Location options broaden access but imply travel or remote flexibility. Overall: practical in-market role for analytics engineers, not a unicorn.
Publicis Groupe's Key Account Manager role centers on translating client aims into data-driven media strategies with a heavy emphasis on biddable channels. For data pros, the job offers exposure to programmatic, search, and social buying via Google Ads, Meta (Facebook), and DSPs, plus measurement stacks like Google Analytics, Adobe Analytics, Looker, and Power BI. The role sails between strategy, budgeting, and executive storytelling, owning the performance narrative across English-speaking markets. The challenge is balancing global governance with local activation, ensuring time-to-market, and turning raw platform data into actionable insights. It stands out for its analytics-forward tilt in an agency setting, but it risks being more politics than code, with success tethered to client relationships and cross-functional coordination. Not a pure data engineering path; real value comes from turning dashboards into decisions.
