Senior Spatial Consultant

CACI Ltd

Greater London

On-site

GBP 55,000 - 90,000

Full time

10 days ago

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Job summary

CACI Ltd is a London-based consultancy guiding clients with data, software and analytics to improve sales and marketing programmes. The team develops insights on consumer behaviour and location strategies across sectors.

The role involves delivering analytical projects, communicating technical results to executives, and mentoring juniors while driving efficiency for clients and teams. A background in analytics or consulting is expected and GIS/spatial experience is a plus.

Qualifications

  • Experience in analytical or consulting role.
  • Strong communication skills across stakeholders.
  • Proficiency with big data manipulation using SQL and Python.

Responsibilities

  • Create and deliver a diverse range of bespoke projects using analytical techniques.
  • Develop analyses to drive real-world strategies and outcomes.
  • Deliver tools that enhance team and client efficiency and effectiveness.
  • Communicate insights and methodologies clearly to clients, including visual representations for executives.
  • Take ownership of tasks and deadlines and deliver to a high standard.
  • Mentor junior team members on analytical techniques and project delivery.
  • Work with clients to understand objectives and tailor solutions.

Skills

SQL
Python
Communication
Stakeholder management

Tools

AWS
Snowflake
Alteryx

Job description

CACI's Consumer & Market Intelligence and Experience & Transformation groups provide data, software and consulting services to improve our clients’ sales and marketing programmes.

We help clients find, retain and grow profitable customers through our understanding of consumer characteristics and behaviour. And we help commercial property developers and retailers plan retail provision in the UK and overseas.

C&MI and E&T Groups help clients shape the vision, define the strategy and deliver a truly integrated customer experience. Our services are based on in-depth understanding of individual consumer behaviour and marketing technology which influence the way consumers buy products and services through a combination of data, technology and consultancy.

We provide advanced spatial analysis and insights to major organisations across various sectors and countries. Our services include consultancy, cutting-edge software, and the latest data to help clients optimise their location strategies in both physical and digital landscapes. Projects typically range from one week to six months and include performance analysis, customer insights, network strategy development, business intelligence and visualisation, and advanced predictive modelling.

We collaborate closely with clients to understand their objectives and develop tailored solutions to meet their business needs.

Key Responsibilities
  • Create and deliver a diverse range of bespoke projects using various analytical techniques and tools.
  • Develop creative and impactful analyses to drive real-world strategies and outcomes.
  • Deliver solutions and tools that enhance team and client efficiency and effectiveness.
  • Communicate insights and technical approaches clearly to clients, both verbally and in writing, including documenting analytical methodologies and creating visual representations for senior executives.
  • Taking ownership of project tasks and deadlines and delivering to a high standard.
  • Mentor junior team members on analytical techniques and project delivery.
  • Prior experience in an analytical or consulting role.
  • Proficiency in big data manipulation (e.g., SQL, Python).
  • Experience with cloud-based software (e.g., AWS, Snowflake).
  • Familiarity with ETL software (e.g., Alteryx).
  • Strong communication skills and experience of dealing with a range of stakeholders across a business.
  • Eagerness to learn and a passion for your role.
  • Self-motivated, organised, detail-oriented, with a positive, "can do" attitude.
Preferred Skills:
  • Experience with GIS platforms and conducting spatial analysis in real-world applications.
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