Data Management Intelligence Specialist

6 days ago

Taguig, National Capital Region, Philippines Marsh McLennan Full time
Company:MarshDescription:

The Data Management Intelligence Specialist plays a critical role in collecting, analyzing, and interpreting complex data to provide actionable business insights. This role supports decision-making processes by transforming data into clear, visual reports and predictive analytics. The ideal candidate combines strong technical expertise with business acumen and excellent communication skills to collaborate effectively across teams in Marsh ASIA.

We will count on you to:

  • Partnering with Business Partner in Use Case Requirements Gathering Collaborate with stakeholders to understand their needs and gather detailed business requirements.

  • Partnering with IT in Use Case Solution Design work closely with development teams to recommend the best technological solutions and products.

  • Partnering with Global MI, Data Architects and Engineers leverage their knowledge of architecture design and other engineering tactics to automate data collection and storage tasks.

  • Partnering with company departments to pull data following department decisions or initiatives to weigh their success.

    • Collecting data through means such as analyzing business results or by setting up and managing new studies

    • Transferring data into a new format to make it more appropriate for analysis

    • Creating new, experimental frameworks to collect data

    • Building tools to automate data collection

    • Searching through large data sets for usable information

    • Creating reports and presentations for business uses

    • Correlating similar data to find actionable results

What you need to have: 

  • Bachelor's degree in Computer Science, Information Technology, Statistics, Data Science, Business Administration, or related field.

  • Data scientist, AI, Machine Learning and Cloud computing is a plus

  • Minimum of 10 years of experience as a solution engineer or a related role

  • Strong analytical and statistical skills, including experience with data cleaning, preprocessing, and regression analysis.

  • Familiarity with machine learning concepts and tools is advantageous.

  • Excellent communication skills, both written and verbal, with the ability to present complex data clearly.

  • Ability to work collaboratively in a team-oriented environment.

  • Strong business acumen and problem-solving skills.

  • Resourceful, curious, and detail-oriented.

What makes you stand out?

  • Understanding of the industry and business processes to contextualize data insights effectively.

  • Capability to translate technical findings into business language that stakeholders can understand and act upon.

  • Excellent verbal and written communication skills to present insights clearly to both technical and non-technical audiences.

  • Proven ability to work collaboratively across teams, including IT, data science, and business units, to align data initiatives with organizational goals.

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, a business of Marsh McLennan (NYSE: MMC), is the world's top insurance broker and risk advisor. Marsh McLennan 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 creating 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, or any other characteristic protected by applicable law.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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