Data Insights Analyst

4 weeks ago


Birmingham, Birmingham, United Kingdom Morgan Philips Group Full time

Morgan Philips Group is seeking a skilled Data Insights Analyst to join their team in Birmingham. This is a great opportunity to work on digital transformation data analysis, with a salary range of £50-55K and a flexible work arrangement of 3 days in the office and 2 days working from home.

Key Responsibilities
  • Develop and maintain dashboards to track key performance indicators and provide insights to support decision-making.
  • Design and implement data visualizations to communicate complex data insights to stakeholders.
  • Collaborate with the product team to ensure data-driven decisions and drive business growth.
  • Stay up-to-date with the latest digital and data innovation trends and apply them to drive business success.
  • Develop a technical understanding of data and technology systems, including Dynatrace, SQL databases, Google Analytics, Treasure Data, Braze, and Azure Cloud Platform.
  • Utilize tools such as Google Analytics to analyze web and app data and work with the product team to ensure all website changes and updates are tracked accordingly.
  • Must have advanced SQL querying skills to extract, manipulate, and model data.
  • Strategic and analytical thinker with strong consumer insight skills used to presenting at senior level.
  • Able to follow an established reporting process and evolve it as per the need of the Product Team and Director of Digital Transformation.
  • Highly numerate and enjoys keeping up with the latest digital/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 user of Excel with the ability to write complex formulas.
  • Experience of propensity/segmentation modelling desirable.
  • Experience working with digital marketing desirable.
  • Good communicator with the ability to support on complex projects with many stakeholders.

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