Supports Factory of the Future and Industry 4.0 initiatives by leveraging data, analytics, and AI technologies to improve manufacturing efficiency, quality, and operational performance.
Compensation
$90,000 - $125,000 annual compensation
Responsibilities
Leads industry 4.0 and AI initiatives by identifying, prioritizing, and implementing data-driven solutions that optimize manufacturing processes across molding, assembly, and co‑extrusion processes.
Collaborates with cross‑functional teams including engineering, operations, IT, and automation teams to integrate digital technologies and analytics into production systems.
Develops and maintains data infrastructure including ETL pipelines, databases, SQL queries, and data environments to support manufacturing analytics and AI applications.
Collects, validates, and manages production data from multiple sources, including PLCs, HMIs, sensors, and enterprise systems, ensuring data accuracy and integrity.
Designs, develops, and optimizes machine learning and AI models to improve quality, productivity, predictive maintenance, process control, and operational efficiency.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or related discipline
Data Engineer to support data initiatives in automotive smart factory solutions
Compensation
Salary: Starting at $95,000 USD per year
Responsibilities
Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques (Data Modeling etc.)
Connect and build pipelines between various data sources
Support operational improvement and business decision making through ad-hoc statistical analysis of curated enterprise data and self-constructed data sets
Leading BI software development, deployment, and maintenance
Documenting contents in a data warehouse and meta-data storage
Strategic and analytical partner to Blizzard's International Marketing team, translating market, player, competitive, cultural, and performance data into decision-ready insights to guide international growth planning, investment priorities, and go-to-market decisions.
Compensation
incentive compensation is negotiable
Responsibilities
Partner with International Marketing, Strategy, Finance, Analytics, Business Development, Product Marketing, and regional teams to evaluate growth priorities, investment options, partnerships, and market opportunities.
Frame ambiguous business questions, define analytical approaches, and synthesize findings into clear recommendations for leadership.
Develop executive-ready narratives and materials that communicate trade-offs, assumptions, risks, and recommended actions.
Assess global markets, audience segments, cultural dynamics, competitors, and ecosystem trends to identify international growth opportunities.
Size opportunities using TAM/SAM/SOM, segmentation, and scenario analysis to inform prioritization and resource allocation.
In the U.S., the standard base pay range for this role is $20.00 - $50.00 Hourly. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role’s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.
Responsibilities
Apply quantitative methods to game data
Use SQL and statistical software to analyze player behavior
Provide insights to game developers and product managers
Lead Esko's global marketing operations function, managing a team of six professionals across multiple time zones, driving data enrichment, analytics, and automation to improve marketing performance and revenue contribution.
Responsibilities
Lead, mentor, and develop a global team of marketing operations, automation, and analytics professionals
Define and execute global marketing operations, data, analytics, and automation strategy
Own marketing and customer data quality, enrichment, normalization, governance, and hygiene
Lead data orchestration across CRM, marketing automation, digital, enrichment, BI, and integration platforms
Own marketing analytics and executive reporting across pipeline, revenue contribution, funnel and campaign performance
Requirements
Bachelor's degree in Marketing, Business, Information Systems, Computer Science, Analytics, or a related field
Lead research competitive intelligence for Zealand Pharma’s metabolic health portfolio, shaping strategy through data‑driven insights and quantitative analysis.
Responsibilities
Track and synthesize competitive intelligence across metabolic health and adjacencies
Rapidly internalize breaking external data and independently develop analyses, narratives, and implications
Apply quantitative methods to capture, analyze, and visualize complex datasets
Develop high‑impact communications (briefings, presentations, written summaries)
Partner across‑functionally with Research, Medical, Development, IR, and Commercial teams
Requirements
PhD (or equivalent advanced degree) in a relevant life sciences or quantitative discipline
Lead and support human factors research, usability testing, and validation activities across the design lifecycle, collaborating with cross‑functional partners to translate findings into actionable design recommendations.
Compensation
$96,800.00 - $145,200.00 Annual
Responsibilities
Lead and support human factors research, usability testing, and validation activities across the design lifecycle, from customer research and concept development through final evaluation
Collaborate with industrial design, UX research, engineering, product management, and other cross‑functional partners to understand use cases, plan studies, and translate findings into actionable design recommendations
Develop contextual test protocols, select appropriate methodologies, and conduct independent evaluations using advanced human factors, usability, and mixed‑methods research approaches
Evaluate emerging technologies and AI‑driven systems by applying human‑centered frameworks that address usability, trust, cognitive load, transparency, safety, fairness, and responsible AI principles
Analyze and communicate research findings through clear reports, presentations, metrics, and stakeholder readouts, including statistical analysis and human performance insights where appropriate
Requirements
Bachelor's or Master's degree (preferred) in HCI, Human Factors, Cognitive Psychology or equivalent
Business analysts act as advisors to the business and support sound decision making through the use of data driven insights, coupled with strong business acumen.
Responsibilities
Designs a limited variety of moderately complex reports using data from one or multiple systems to specifications
Delivers report in format to aid business stakeholder interpretation (pivot tables, graphs, etc.)
Uses data methodologies and business acumen to generate recommendations to moderately complex problems to review with supervisor / senior analyst
Identifies and interprets trends and patterns in datasets to locate influences
Designs and develops analytical solutions across multiple systems
Senior Manager, Marketing Strategy & PlanningNewBlizzard Entertainment · Irvine, US
Senior Manager Marketing OperationsNewEsko (Esko-Graphics) · Remote, Belgium