Senior Business Intelligence Analyst

at  LandTech

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate28 Dec, 2024Not Specified05 Oct, 20245 year(s) or aboveExcel,Economics,Computer Science,Aws,Statistics,Data Analysis,Google Sheets,Sql,Data Warehousing,Dbt,Finance,Business Intelligence,Github,Data Analytics,Mathematics,Python,Customer DataNoNo
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Description:

WHO WE ARE

We are on a mission to drive tech-enabled change for developers to shape the communities of the future.
LandTech is supercharging the whole development process by building technology for every stage of a property developer’s journey towards unlocking land. 90% of the 200 top global cities have a housing crisis and it’s too difficult for property developers to build the places we need. To keep up with demand, the property industry needs to keep evolving. LandTech is part of that evolution.
Established in 2014 with two Co-Founders passionate about solving a complex problem, our product offering is the industry standard for site sourcing and assessment, and we are now a multi-million-pound business carving a path to international success.
Sound interesting? Come join us.

ESSENTIAL EXPERIENCE

  • 5+ years of experience in business intelligence and data analysis.
  • SaaS start-up or scale up experience
  • Bachelor’s degree (Masters preferred) in a relevant field such as data analytics, finance, economics, computer science, mathematics or statistics
  • Track record of success in a business intelligence function with a hands on roll
  • Expert data visualisation skills with expert knowledge of AWS Quicksight, SQL and data warehousing concepts
  • Experience working with customer data including CRM data and event based usage data
  • Capable of performing advanced analysis and modelling in Excel and Google Sheets
  • Experience with dbt, Prefect and AWS warehouse solutions (including Postgres, Redshift, S3), Python, GitHub, and AWS SageMaker.

How To Apply:

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Responsibilities:

THE ROLE

As a key contributor within the Business Intelligence team, this role is responsible for driving the operating system for the business as part of the Business Operations Department. The BI team plays a critical part in using data to understand performance, improve performance and continuously optimise our operating model in addition to providing a data-driven decision making support mechanism for the business, for decisions that are both strategic and tactical.
Reporting to the Director of Business Operations, this role is responsible for executing the business intelligence strategy to empower data-driven decision-making across the organisation. This will include the design, implementation and maintenance of robust BI solutions (dashboards and reports), providing insights that drive strategic initiatives, as well as the management of the infrastructure that supports those solutions.

THE SUCCESS FOR THIS ROLE WILL BE BASED ON A PROFICIENCY IN THE FOLLOWING AREAS:

  • Designing, developing, and maintaining scalable and efficient BI dashboards and reports utilising AWS Quicksight and other analytics tools, and performing high quality modelling and analysis in Excel or Google Sheets as required, facilitating a data driven and metrics led approach to company management
  • Conducting data analysis and using machine learning tools to identify trends, opportunities, and areas for improvement
  • Provide strategic insights to senior leadership based on reporting and data analysis
  • Collaborate with stakeholders to understand business requirements and translate them into actionable BI solutions.
  • Managing ETL / ELT infrastructure and other data integration processes, ensuring accuracy and consistency of our data
  • Support the activation of our data into commercial processes and systems
  • Supporting the development of the business intelligence roadmap and executing upon it, aligning with departmental and organisational OKRs and strategic objectives.
  • Stay abreast of industry trends and emerging technologies in business intelligence.


REQUIREMENT SUMMARY

Min:5.0Max:10.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Business Analytics

Graduate

Computer Science, Economics, Finance, Mathematics, Relevant Field, Statistics

Proficient

1

London, United Kingdom