Business Data Insights Specialist

19 hours ago


Birmingham, Birmingham, United Kingdom Morgan Philips Group Full time

As a Business Data Insights Specialist at Morgan Philips Group, you will play a pivotal role in driving business growth through data-driven decision-making. With an estimated salary of £55,000 per annum, this position offers a competitive package that includes the flexibility to work from home three days a week and in-office two days.

Key Responsibilities:
  • Create actionable insights to inform strategic decisions for Product Development, Digital, and Data Transformation initiatives.
  • Design, maintain, and evolve dashboards to track performance of critical workstreams, ensuring timely and accurate reporting.
  • Present complex data insights effectively to both technical and non-technical stakeholders.
  • Contribute to the development of innovative reporting solutions, enhancing existing reporting capabilities and supporting business expansion.
  • Develop expertise in data and technology systems, including Dynatrace, SQL databases, Google Analytics, Treasure Data, Braze, and Azure Cloud Platform.
  • Utilize tools like Google Analytics to analyze web and app data, collaborating closely with the product team to monitor website changes and updates.
Key Skills:
  • Advanced SQL querying skills to extract, manipulate, and model data efficiently.
  • Strategic thinking, strong consumer insight skills, and experience presenting at senior levels.
  • Able to follow established reporting processes and adapt them to meet evolving business needs.
  • Highly numerate, with a passion for staying up-to-date on the latest digital and data innovation trends.
  • Data warehousing, Customer Data Platform, and data lake knowledge, with the ability to grasp complex relational models.
  • Business intelligence and dashboard experience using Power BI (preferred).
  • Experience in web analytics using Google Analytics, Google Analytics 4, and Big Query would be advantageous.
  • Knowledge of Python/R for automation or data analytics desirable.
  • Advanced Excel user with the ability to write complex formulas.
  • Experience with propensity/segmentation modelling and digital marketing desirable.
  • Excellent communication skills, with the ability to support complex projects with multiple stakeholders.


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