Data and BI Analyst at Landmarc Support Services
Salisbury SP3, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

11 Sep, 25

Salary

40950.0

Posted On

12 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Power Bi, Sc, Excel, Gis, Sql

Industry

Information Technology/IT

Description

ESSENTIAL EXPERIENCE & SKILLS

  • Proven experience as a Data Analyst or in a similar role
  • Strong analytical and data storytelling abilities
  • Expertise in Power BI and advanced Excel
  • Solid understanding of data analysis methodologies
  • Ability to manage large datasets and draw meaningful conclusions

DESIRABLE SKILLS

  • Degree in a business, data or statistical field
  • Experience with SQL, Python, GIS, ETL processes or APIs
  • Worked within a data team alongside Data Engineers
  • Experience using geospatial tools or working in a defence-related environment

PRE-EMPLOYMENT REQUIREMENTS

  • Must successfully complete Baseline Personnel Security Standard (BPSS)
  • Must be eligible for national Security Check (SC) vetting (5 years UK residency)
  • Full UK driving licence required
Responsibilities

ABOUT THE ROLE

Are you passionate about turning data into actionable insights? Do you thrive on creating value through analysis and storytelling with numbers?
Landmarc Support Services is looking for a Data and BI Analyst to join our team at Head Office. This is an exciting opportunity to make a real impact by enabling data-driven decisions across the business.
As a Data and BI Analyst, you’ll play a key role in analysing, reviewing, and presenting data to identify trends, derive insights, and improve performance. You’ll engage with stakeholders across the business, enhancing our reporting capabilities and uncovering opportunities for improved data usage.

WHAT YOU’LL DO

  • Develop and maintain data models, dashboards and reports
  • Use tools such as Power BI, Excel and SQL to analyse data and generate insights
  • Work closely with stakeholders to understand reporting requirements
  • Identify trends, patterns and improvement opportunities
  • Promote data quality and support data issue resolution
  • Support training for end users on dashboards and reports
  • Prepare regular performance and insight reports
  • Contribute to data-driven improvements in operational efficiency
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