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Location
Hybrid (Dublin, Ireland)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 3, 2026.

Overview
Company
Impact
Profile match
Bentley Systems is an infrastructure engineering software company headquartered in Exton, Pennsylvania, whose products support the design, construction and operation of roads, rail, bridges, water networks, utilities and industrial assets. Founded in 1984 and listed on Nasdaq, it serves engineers, constructors and owner-operators worldwide and has major development and sales offices in Ireland, Lithuania, India, Canada and Australia. The company hires software engineers in C++ and other stacks, solution architects, pre-sales and application engineers, UX designers, product counsel and government relations specialists.

Location: Dublin, Ireland (Hybrid)

Position Summary:

Bentley is seeking a Marketing Performance Analyst to join our Marketing Strategy & Analytics team. This role is responsible for transforming marketing data into actionable insights that drive business performance and support strategic decision-making. The successful candidate will develop and maintain dashboards, analyze marketing effectiveness, improve reporting capabilities, ensure data quality across the marketing technology ecosystem, and help elevate the analytical maturity of the organization.

Working closely with Marketing, Sales Operations, and IT teams, this individual will leverage modern analytics tools and methodologies to optimize marketing investments, improve reporting consistency, and provide recommendations that influence business outcomes.

Responsibilities:

Marketing Dashboard Development & Management

  • Design, build, and maintain dashboards measuring channel performance, campaign ROI, lead-to-opportunity conversion, and marketing-sourced pipeline.
  • Define and document key metrics, dimensions, calculations, and refresh schedules to ensure reporting consistency across teams.
  • Translate data into actionable recommendations and business insights for stakeholders.
  • Continuously improve dashboard usability, accuracy, and reporting effectiveness.

Marketing Performance Measurement & Analysis

  • Monitor and evaluate performance across marketing channels using standardized measurement frameworks.
  • Compare channel performance on a like-for-like basis to identify optimization opportunities.
  • Support recurring performance reviews with channel owners and marketing leaders.
  • Provide actionable recommendations to improve campaign effectiveness and marketing efficiency.

Reporting, Analytics & Business Insights

  • Transform traditional reporting into insight-driven analysis that explains performance outcomes and recommends next actions.
  • Leverage AI-assisted analytics tools to accelerate data preparation, analysis, and reporting processes.
  • Establish repeatable analytical workflows that improve team efficiency and scalability.
  • Develop forecasting models, trend analysis, and cohort analysis to support strategic planning.
  • Evaluate existing reports and dashboards, retiring low-value reporting and redesigning assets around business decision-making needs.
  • Promote analytical best practices and contribute to improving data literacy across the marketing organization.

Marketing Technology & Data Governance

  • Work across the marketing technology ecosystem, including marketing automation, CRM, webinar, web analytics, advertising, and business intelligence platforms.
  • Extract, integrate, validate, and analyze data from multiple systems and sources.
  • Maintain data quality standards and governance processes, including field hygiene, campaign taxonomies, product hierarchies, regional hierarchies, and system mappings.
  • Ensure reporting consistency as systems, processes, and business requirements evolve.
  • Partner closely with IT teams to support integrations, reporting requirements, data models, and system enhancements.
  • Automate recurring reporting processes and reduce reliance on manual spreadsheets and data preparation tasks.

Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Business Analytics, Marketing Analytics, or a related quantitative field, or equivalent practical experience or training.
  • 3-5 years’ experience in marketing analytics, marketing operations, business intelligence, or a related analytical role within a B2B SaaS environment.
  • Experience with AI-assisted analytics tools and a willingness to adopt emerging technologies to improve efficiency.
  • Working knowledge of marketing automation platforms (e.g., Marketo) and CRM systems (preferably Salesforce).
  • Experience with web analytics, digital advertising, campaign tracking, and UTM governance.Proven ability to build and maintain dashboards using BI tools such as Power BI.
  • Strong understanding of B2B marketing funnel metrics, attribution, pipeline measurement, and performance reporting.
  • Experience maintaining data quality, governance, taxonomies, hierarchies, and reporting frameworks, and validating and reconciling data across multiple systems.
  • Strong SQL skills, including writing complex queries, joining and transforming data across multiple sources, validating datasets, and supporting reporting and business intelligence initiatives.
  • Experience partnering with IT on integrations, reporting requirements, and data models.
  • Strong analytical, problem-solving, and critical-thinking skills, with the ability to independently define business questions, analyze data, and deliver actionable recommendations.
  • Excellent written and verbal communication skills, with the ability to present insights to technical and non-technical audiences.

Preferred Qualifications:

  • Experience in forecasting, trend and cohort analysis, and other advanced analytical techniques.
  • Knowledge of multi-touch attribution and marketing performance optimization frameworks.
  • Experience automating reporting workflows and developing scalable analytical processes.
  • Advanced knowledge of data modeling, statistical analysis, and BI best practices.

This is a Hybrid role.

What We Offer:

  • Step into a collaborative work environment where ideas flourish, and teamwork propels us forward towards shared success.
  • An attractive salary and benefits package.
  • Bentley Impact Day: take a day off from work to volunteer with an organization of your choice.
  • Celebrate milestone achievements and moments that matter through our colleague recognition award programs and our Bentley Achievers platform.
  • A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups.
  • Be part of a company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact.

Who We Are:

Bentley Systems (Nasdaq: BSY) is the infrastructure engineering software company. We provide innovative software to advance the world’s infrastructure - sustaining both the global economy and environment. Our industry-leading software solutions are used by professionals, and organizations of every size, for the design, construction, and operations of roads and bridges, rail and transit, water and wastewater, public works and utilities, buildings and campuses, mining, and industrial facilities. Our offerings, powered by the iTwin Platform for infrastructure digital twins, include MicroStation and Bentley Open applications for modeling and simulation, Seequent’s software for geoprofessionals, and Bentley Infrastructure Cloud encompassing ProjectWise for project delivery, SYNCHRO for construction management, and AssetWise for asset operations. Bentley Systems’ 5,200 colleagues generate annual revenues of more than $1 billion in 194 countries.

Equal Opportunity Employer:

Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.

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