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Lead Insight Analyst

Summary

Salary
£Competitive
Team
Finance
Location
Malmesbury - United Kingdom

Description

The Lead Analyst will be a key member of the Analytics and Insight team within Group Finance as we continue to produce insightful analytics for our global stakeholders across group, categories and markets as well as within Finance and Commercial.
Naturally inquisitive and ideally with a strong financial acumen, you will enjoy working with data to uncover insights and patterns through the solutions you develop. You will be comfortable working with ambiguity and have perseverance and motivation to deliver your work.
You will be responsible for identifying opportunities for new and better reporting and analytics solutions, bringing them to life mainly using a suite of tools across Tableau and GCP. You could be involved in anything from data sourcing, ingestion, prep and modelling to reporting and visualization.As a key interface with our technical teams you may lead work with data engineering to create enterprise ready data models in our cloud data warehouse, supporting ingestion of new data sources and enhancements to existing sources.
We are interested to hear from people with skills across any of data modelling, analysis, data science, visualisation, reporting and particularly if you are interested in developing further skills in these areas.
The Analytics and Insight team within Group Finance has a global reach and is an integral part of Dyson’s analytics and finance communities.  We deliver the data and analytics to support the analysis of commercial performance across the group. Our stakeholders include the exec, category product teams, group finance, group commercial and our markets.
We own key enterprise data sources and partner closely with the global data services team and analytics functions across the business to make these available for analysis and insight, as well as delivering BI and analytics solutions.

Accountabilities

As a Lead Analyst you are responsible for the delivery of insight and analytics projects from conception through to release. You will own a portfolio of work and will be responsible for delivering parts of our global roadmap. You may have line management responsibilities or will support and coach more junior members of the team.
Working with stakeholders, you are able to understand the requirement, plan accordingly, manage work in tools like JIRA and deliver visualisations and data models which will enable data-driven decision making.
Gather analytics requirements, design and document efficient solutions and work with our data services team on the delivery of data products as part of a wider data strategy.
  • Use any of R, Python, GCP, Tableau and other analytics tools to produce strategy driving analytics.
  • Create Tableau content that is innovative, performant, delivers insight and embraces best practice.
  • Integrate and consolidate data sources, internal and external, ready for statistical analysis.
  • Champion the use of data and analytics, driving adoption and growth in the user base.
  • Collaborate with other analytics teams to ensure global alignment across initiatives.
  • Ensure maintenance of functional and technical documentation.
  • Lead, mentor and develop junior members of the team.

Skills

  • Strong requirements management and delivery of work using tools like JIRA.
  • Extensive experience with Tableau or comparable data visualisation tool.
  • Strong SQL skills.
  • Comfortable working with a range of data platforms including SQL Server, Google BigQuery, SAP BW, SAP HANA.
  • Experience working in an agile environment and leading others to do so.
  • Comfortable sourcing, integrating and cleansing data.
  • Good commercial awareness. Ideally knowledge of financial data.
  • Ability to work with data engineers to develop our enterprise data warehouse.
  • Organised, delivery focused and comfortable working on own initiative.
Desirable
  • Hands-on experience using R and/or Python to deliver advanced analytics, or a commitment to developing skills in this area.
  • Knowledge of key data science principles such as optimisation, predictive modelling, clustering and forecasting.
  • Any hands-on experience delivering solutions like marketing campaign analysis, ROI assessments, sales and financial forecasts, customer segmentation and other predictive financial analytics.

Benefits

  • 27 days' holiday plus eight statutory bank holidays
  • Pension scheme
  • Performance related bonus
  • Private medical insurance
  • Life assurance
  • Sport centre
  • Free on-site parking
  • Subsidized café and restaurants
  • Discounts on Dyson machines