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Global Process and Data Specialist - Job Opportunity at Google

Dublin, Ireland
Full-time
Entry-level
Posted: August 8, 2025
On-site
EUR 55,000 - 75,000 annually based on Dublin market rates for entry-level data specialists at major tech companies, with Google typically offering 10-20% premium above market rate plus substantial equity compensation and performance bonuses

Benefits

Equal opportunity workplace commitment providing inclusive career advancement opportunities across diverse backgrounds
Affirmative action employment policies ensuring fair compensation and promotion structures
Disability and special needs accommodation support demonstrating comprehensive employee care
Access to Google's global resources and cutting-edge technology infrastructure for professional development
International exposure through global process management and cross-functional collaboration opportunities

Key Responsibilities

Lead strategic service creation, automation, and commercialization initiatives for Sellside operations, directly impacting revenue generation and operational scalability
Drive partner growth strategies through innovative sales collateral development, collaborating with key stakeholders to identify market opportunities and competitive advantages
Spearhead operational efficiency transformation by implementing automation capabilities, AI solutions, and process improvements that deliver measurable cost savings
Transform complex data reporting requirements into scalable automated solutions, ensuring data accuracy while eliminating manual processes and reducing operational overhead
Optimize critical business processes, internal tools, and service delivery mechanisms to maximize efficiency gains and accelerate monetization strategies

Requirements

Education

Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience

Experience

1 year of experience working in data analytics, consulting, data science, engineering, or a technical operations role

Required Skills

1 year of experience in statistical problem-solving and analyzing data sets using SQL or comparable coding language (e.g., Python, Javascript) Experience with designing experiments, developing statistical models, measurement, and identifying business opportunities Experience working with Apps Scripts, Python, DISA Forecasting, Javascript or HTML Understanding of online advertising solutions (e.g., ad serving, monetization) Proven track record of managing multiple projects, consistently meeting deadlines and delivering high-impact results Ability to be organized, responsible, work separately and with a team
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Sauge AI Market Intelligence

Industry Trends

The digital advertising industry is experiencing unprecedented growth with global ad spend projected to exceed $1 trillion by 2026, creating massive demand for specialists who can optimize ad serving and monetization processes. Companies are increasingly investing in programmatic advertising and real-time bidding technologies, requiring professionals who understand both the technical and business aspects of online advertising ecosystems. Automation and AI integration in business operations has become critical for maintaining competitive advantage, with organizations seeking specialists who can bridge the gap between technical implementation and business strategy. The shift toward data-driven decision making has accelerated, particularly in tech companies where process optimization directly impacts both user experience and revenue generation. Cross-functional collaboration and global process standardization are becoming essential as tech companies scale internationally. Organizations are prioritizing roles that can work across different regions and business units to ensure consistency in operations while adapting to local market requirements and regulatory frameworks.

Role Significance

Typically part of a 5-8 person Business Strategy and Operations team, working closely with sales, product, and engineering teams totaling 15-25 collaborative partners across different functions and geographic regions.
This is an entry-level individual contributor role with significant cross-functional exposure and direct impact on business operations. While not a management position, it offers substantial responsibility in driving strategic initiatives and working with senior stakeholders across multiple business units.

Key Projects

Implementation of automated reporting dashboards that eliminate manual data processing for sales teams Development of predictive models for advertising revenue optimization and partner performance forecasting Cross-regional process standardization initiatives that improve operational efficiency by 20-30% Creation of self-service tools that enable non-technical teams to access and analyze complex datasets independently

Success Factors

Strong analytical thinking combined with business acumen to translate data insights into actionable recommendations that drive measurable business outcomes and revenue growth Excellent project management and stakeholder communication skills to coordinate complex initiatives across multiple teams and geographic regions while maintaining alignment with strategic objectives Technical proficiency in data analysis tools and programming languages, coupled with the ability to learn new technologies quickly and adapt to Google's rapidly evolving tech stack Strategic mindset to identify automation opportunities and process improvements that deliver long-term value rather than short-term fixes

Market Demand

Very high demand driven by digital transformation initiatives and the critical need for process optimization expertise in rapidly scaling tech organizations

Important Skills

Critical Skills

SQL and Python programming skills are absolutely essential as they form the foundation for all data analysis and automation work. The ability to write efficient queries and create automated solutions directly impacts the role's success and the individual's ability to deliver scalable solutions. Statistical analysis and experimental design capabilities are crucial for making data-driven recommendations and measuring the impact of process improvements. These skills enable the specialist to move beyond basic reporting to strategic insights that drive business decisions. Project management and stakeholder communication abilities are vital for coordinating complex initiatives across multiple teams and ensuring successful implementation of recommendations. The global nature of the role requires exceptional communication skills to work effectively across different time zones and cultural contexts.

Beneficial Skills

Understanding of online advertising ecosystems and programmatic buying provides significant advantage in identifying optimization opportunities and understanding business context for recommendations Experience with Google's specific tools like Apps Script and DISA Forecasting accelerates onboarding and enables faster contribution to team objectives Machine learning and AI familiarity positions the specialist to leverage Google's advanced analytics capabilities and contribute to more sophisticated automation initiatives

Unique Aspects

Direct exposure to global advertising technology operations at unprecedented scale, providing insights into how billions of advertising transactions are processed and optimized daily
Opportunity to work with cutting-edge AI and machine learning tools that are not available in smaller organizations, gaining experience with Google's proprietary technologies and methodologies
Cross-functional collaboration with product teams, sales organizations, and engineering groups across multiple continents, offering unique perspective on global business operations
Access to Google's internal data and analytics platforms, providing learning opportunities that are highly transferable to other tech companies and consulting roles

Career Growth

Progression to senior individual contributor roles typically occurs within 2-3 years, with management opportunities available within 3-5 years for high performers who demonstrate leadership capabilities

Potential Next Roles

Senior Business Operations Analyst with increased strategic responsibility and team leadership opportunities Product Operations Manager focusing on specific product lines or market segments Data Science Manager leading analytical initiatives across business units Strategy and Operations Partner working directly with executive leadership on company-wide initiatives

Company Overview

Google

Google is the world's dominant search engine and digital advertising platform, generating over $280 billion in annual revenue primarily through advertising services. The company has evolved into a comprehensive technology ecosystem encompassing cloud computing, artificial intelligence, mobile operating systems, and enterprise productivity tools.

Google maintains a commanding position in digital advertising with approximately 29% global market share and continues to lead in search technology, mobile platforms, and cloud infrastructure innovation
Google's Dublin office serves as the European headquarters and employs over 8,000 people, making it one of the largest tech employers in Ireland and a critical hub for European operations covering sales, operations, and product development
Known for data-driven decision making, collaborative cross-functional projects, and emphasis on innovation and experimentation, with strong support for employee development and internal mobility
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