Data Analytics Lead – UK or US

Competitive UK/US Hybrid

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Job Description

We are looking for an analytics manager to join our growing team of data analytics experts and manage the processes and people responsible for accurate data collection, processing, modeling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. The Analytics Manager will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units.

Remote working, some travel to London, UK and US.

Key Responsibilities

  • Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
  • Design and build technical processes to address business issues.
  • Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
  • Recruit, train, develop and supervise analyst-level employees.
  • Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
  • Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
  • Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
  • Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
  • Articulate the technology needs, requirements and goals of the team.
  • Leverage data and analytics to identify actionable insights, suggest recommendations through effective communication.
  • Manage codebase, pipelines, rule logic and underlying data table architectures that support the operational workflows and its various third-party integrations.
  • Lead a team of Data Analysts.

Where required facilitate and develop PoCs to demonstrate new concepts or technology choices

Experience

What would convince us:

  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
  • Experience writing advanced SAS code statements, models, and macros.
  • Experience working with and creating databases and dashboards using all relevant data to inform decisions.
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
  • Strong problem solving, quantitative and analytical abilities.
  • Strong ability to plan and manage numerous processes, people and projects simultaneously.
  • Excellent communication, collaboration, and delegation skills.
  • Experience working in a regulated sector.

Benefits:

  • Competitive Salary
  • Benefits package, including a pension scheme and private medical insurance

Contact Type: Full-time, Permanent