Senior Analyst

5 days ago


Adelaide, South Australia Marsh McLennan Full time $80,000 - $120,000 per year
Company:MMC CorporateDescription:

We are seeking a talented individual to join our Tech Team at MMC. This role will be based in our Dublin office. This is a hybrid role that has a requirement of working at least 3 days a week in the office.

The role: Senior Analyst - Analytics and Reporting

In this role, you will take ownership of technical data leadership by serving as the primary data expert within the team, managing multiple products with a strong understanding of both their technical and business aspects. You will help shape the product technology strategy, provide technical guidance and coaching to team members, and establish best practices and standards to enhance data engineering capabilities. Collaboration with technical colleagues across Marsh Digital and MMC's Tech organization will be key, as will your ability to thrive in a fast-paced environment while solving complex problems.

On the data product development side, you will build and maintain strong relationships with business and technical stakeholders to understand their needs and deliver effective solutions. This includes creating reusable data queries and models, automating data extraction and processing workflows, and developing reports and dashboards that address business requirements. You will support your team's development efforts, communicate complex concepts clearly, and partner with other technology teams to advance business intelligence and analytics tools. Additionally, you will contribute to improving the team's overall efficiency and quality, stay informed on emerging best practices and technologies, and actively participate in data science initiatives to drive innovation and value delivery.

We will rely on you to:

  • Be the Data Specialist inside of the team regarding all data aspects

  • Understand existing products end-to-end from technology and business outcome perspectives

  • Juggle multiple products at once and still have fun doing it

  • Quickly understand different source systems from a practical standpoint. Understand both the technical and business concepts.

  • Provide thought leadership towards the product technology strategy and support the creation of a future data engineering competence inside of the team

  • Provide technical guidance and coaching to other team members and develop guidelines, standards and checklists

  • Liaise closely with technical colleagues that are part of Marsh Digital and MMC's Tech organisation

Data Product Development:

  • Develop and maintain strong business relationships with the technical and business stakeholders

  • Create reusable data queries and data models

  • Automate data extractions and processes

  • Create reports and dashboards on top of the data to give answers to business requirements

  • Help the rest of the team with their developments

  • Communicate complex concepts in such a way that stakeholders will understand.

  • Partner with other technology teams to develop state of the art business intelligence and analytics tools

  • Provide estimates for product features

  • Contribute to increasing the team's overall velocity, quality and value delivered

  • Looks into the horizon for new best practices & technology.

  • Participate in data science initiatives 

What you need to have:

  • Extensive relevant professional experience. Experience and success in owning data solutioning processes end-to-end

  • Advanced data analysis skills and quickly being able to translate business requests into technical database queries.

  • Excellent SQL data query skills

  • BI/Data Visualizations tools experience (or at least exposure)

  • Experience in Python/ R or equivalent language

  • Up-to-date on technology trends and industry thinking

  • Data Engineering/ETL experience

  • Prior experience as a full-stack developer, preferably with MEAN framework, is highly desired

  • SQL programming skills is must have

What makes you stand out:

  • Knowledge of Agile methodologies. Experience with issue tracking software solutions (e.g. JIRA).

  • Data Management/Data Quality

  • Data Science

  • Experience in Big Data platforms

  • MicroStrategy 

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.

#hybrid

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit , or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs.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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