[Apply Now] Product Owner

Senior Business Analyst - 12 month contract We are seeking a talented individual to join our Product Development team at Marsh McLennan Innovation Centre (MMCIC). This role will be based in Dublin. This is a hybrid role that has a requirement of working at least three days a week in the office.
As Senior Business Analyst, you will join a global product leadership team, with responsibility to lead the adaptation of our core product set to a sophisticated Workforce Insights tool and its potential into client-facing, consultant-facing and internal solutions. This is a unique role where you will be at the forefront of our data sciences evolution benefiting our Marsh and Mercer clients and colleagues. You will assist our Career Product team in its product development and innovation processes and pipelines. You will help us identify, introduce and embrace approaches that support our data and algorithmic approaches converting our core compensation survey data to actionable metrics and products that will be brought to market quickly. Your work will further develop and enhance our Career business, which specializes in compensation and analytical solutions but may stretch across many subject matter domains.
Responsibilities Data Analysis and Interpretation: Utilize advanced analytical techniques to interpret compensation survey data, identifying trends and insights that inform strategic decision-making.
R Programming and Excel Proficiency: Develop and implement R code for data manipulation, statistical analysis, and visualization to support compensation benchmarking initiatives. Utilize advanced capabilities of Excel to further develop and test our approaches.
Collaboration with Data Scientists: Work closely with data scientists to design and execute analytical models that enhance the understanding of compensation trends and market positioning.
Business Requirements Gathering: Engage with stakeholders to gather and document business requirements, ensuring alignment between analytical solutions and organizational goals.
Benchmarking Methodology Development: Contribute to the development and refinement of methodologies for compensation benchmarking, ensuring accuracy and relevance in the analysis.
Reporting and Visualization: Create comprehensive reports and visualizations that effectively communicate findings and recommendations to both technical and non-technical audiences.
Data Quality Assurance: Implement data quality checks and validation processes to ensure the integrity and reliability of compensation survey data used in analyses.
Market Research: Conduct market research to stay informed about industry trends, compensation practices, and emerging analytical techniques relevant to compensation benchmarking.
Build our methods: Provide discovery, validation, and knowledge sharing for best practices in data analysis, R programming, and compensation benchmarking.
Continuous Improvement: Identify opportunities for process improvements within the data analysis workflow, leveraging technology and innovative approaches to enhance efficiency and effectiveness.
What you need to have Analytical Thinking: The ability to critically analyze complex data sets and identify patterns, trends, and anomalies is essential. This skill enables the candidate to derive actionable insights from compensation data, facilitating informed decision-making.
Proficiency in R Programming: Strong programming skills in R are crucial for data manipulation, statistical analysis, and visualization. A candidate who is adept in R can efficiently handle large datasets, implement advanced analytical techniques, and create compelling visual representations of data.
Effective Communication: The ability to communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders is vital. This skill ensures that insights are understood and actionable, fostering collaboration across teams.
Project Management: Strong project management skills enable the candidate to effectively prioritize tasks, manage timelines, and coordinate with various stakeholders. This ensures that analytical projects are completed on time and meet the business's needs.
Business Acumen: A solid understanding of compensation practices, market trends, and organizational goals is essential. This skill allows the candidate to align analytical solutions with business objectives, ensuring that the insights generated are relevant and impactful for the organization.
What makes you stand out Proven history of having built successful analysis and data centric products
Experience in Agile or Scrum methodologies.
Knowledge of automation technologies or proficiency in programming language such as Python, R, & standard desktop tools and applications.
Why join our team We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
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Other Marsh McLennan is committed to equal opportunities and providing reasonable accommodations to applicants with disabilities. We are an equal opportunities employer and welcome candidates to contact us at reasonableaccommodations@mmc.com to discuss any specific needs.

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