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1873 vacancies
bierton, 30 km
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The order in which job vacancies are displayed is determined by a composite score based on the following factors:

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Datatech

Retail Geospatial Data Analyst

Datatech Tring (10 km)
32 - 40 hour

Sytner

BMW Sales Executive

Sytner Tring (10 km)
32 - 40 hour

Sytner

BMW SMART Technician

Sytner Tring (10 km)
32 - 40 hour


NLB Solutions

Accountant

NLB Solutions Tring (10 km)
40,000 to 50,000
32 - 40 hour

Enterprise Recruitment Ltd

SMS Manager

Enterprise Recruitment Ltd Tring (10 km)
65,000 to 75,000
32 - 40 hour

Safran UK

Continuous Improvement Engineer - Part 145

Safran UK Pitstone (10 km)
32 - 40 hour

LinkLifeLtd

Warehouse Operative

LinkLifeLtd Haddenham (11 km)
26,000 to 26,500
32 - 40 hour

Chiltern Recruitment

Warehouse Night Shift Manager

Chiltern Recruitment Haddenham (11 km)
45,000
32 - 40 hour

McCormick UK Limited

Account Manager

McCormick UK Limited Haddenham (11 km)
32 - 40 hour

McCormick UK Limited

HR Business Partner - Operations and Supply Chain (m/f)

McCormick UK Limited Haddenham (11 km)
32 - 40 hour

McCormick UK Limited

HR Business Partner – Quality, Regulatory and R&D EMEA (m/f)

McCormick UK Limited Haddenham (11 km)
32 - 40 hour

AESN Limited

Health Care Assistant

AESN Limited Haddenham (11 km)
32 - 40 hour

DFDS

Class 2 HGV Driver

DFDS Princes Risborough (12 km)
32 - 40 hour
new

Chiltern Recruitment

Administrator (Temporary 3 months)

Chiltern Recruitment Princes Risborough (12 km)
13.50 to 14
32 - 40 hour

ARC Group

ADT Driver

ARC Group Princes Risborough (12 km)
20 to 21
32 - 40 hour
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  • Bierton
Datatech
Retail Geospatial Data Analyst
Datatech Tring (10 km)
32 - 40 hour
Status Open
Apply now

Apply on the employer's website


What we ask

Education

No minimum education required

What we offer

Hours
32 to 40 hours per week
Employment type
permanent

Job description

Graduate Geospatial Data Analyst - Entry Level Role - Hertfordshire - Hertfordshire Office based - Salary up to £30,000 Depending on skills - J13148

Join an international retail design and insight consultancy, helping retailers and consumer brands make better decisions about physical retail space using data. Combining consumer behaviour, geospatial analysis, retail planning expertise and commercial insight to support data driven decisions on category performance, space optimisation and much more.

A brand-new opportunity for a numerical graduate to bring drive and curiosity to join the analytics and consulting team. In this role you'll work on real world retail and location problems, using tools such as Python, SQL and geospatial data to turn historic data into clear insights, models and client ready recommendations.

A key part of your role will be to help the organisation build more repeatable workflows, code and an overall stronger analytical quality control. Seeking a graduate who has strong analytical foundations, strong judgement and the appetite to develop into a broader retail analytics and geospatial consulting role.

Responsibilities:
• Support analytical workstreams within client projects, from data preparation through to final outputs.
• Work with datasets such as site locations, catchments, demographics, mobility data, points of interest, competitors, sales and customer data.
• Use Python and SQL to clean, join, analyse and structure data.
• Create maps, charts, dashboards, reports and presentations that explain complex analysis clearly.
• Support modelling tasks such as clustering, segmentation, site scoring, similarity matching and offer-fit analysis.
• Help validate results, sense-check model outputs and explain to a non technical audience
• Contribute reusable code and documentation that reduces manual rework on future projects.
• Collaborate with colleagues through GitHub, shared standards and code review.

Skills Required:

• A degree in a quantitative, analytical or spatial subject such as geography, data science, statistics, mathematics, operational research, economics, engineering, GIS, planning or a related field.
• Good Python skills, particularly for data manipulation and analysis using libraries such as pandas.
• Practical experience using SQL to query, join and transform data.
• Experience working with geospatial data, either in Python, GIS software, spatial databases or a similar analytical environment.
• Strong data cleaning skills, including working with incomplete, inconsistent or messy datasets.
• Ability to structure analysis clearly and document the steps taken.
• Good communication skills, with the ability to explain analytical outputs in plain English.
• Interest in retail, consumer behaviour, location analysis, property, mobility, networks or physical-space optimisation.
• A practical, problem-solving mindset and willingness to learn new tools and methods.

If you would like to hear more, please do get in touch.

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
Apply now

Apply on the employer's website

Apply now

Apply on the employer's website


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