Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Sign up for Jobbird
An error occurred while opening the sign-up page. Please try again.

Loading window...

Forgot my password
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Log out
Unfortunately, something went wrong while signing out. Please try again.

Loading window...

Job application sent
Something went wrong while logging in. Please try again.
Something went wrong while signing up. Please try again.

Loading window...

logo
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Filters
Filters
Location and distance
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Jobs posted from
Salary from (per month)
Filters
How our sorting works

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

  • Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
  • Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
  • Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
  • Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.

Experis

Market Insight and Data Analyst

Experis Birmingham
38,050 to 44,131
32 - 40 hour


Show Recently closed jobs

    Experis

    Market Insight and Data Analyst

    Experis Birmingham
    38,050 to 44,131
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £38,050 to £44,131
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Data Analyst (Market Insight)
    Birmingham - hybrid x3 days onsite x2 remote
    £38,050 - 44,131

    The postholder will play a key role in shaping the University's student recruitment strategy by delivering high-quality data analysis, market insight and evidence-based recommendations. Working as part of the
    Market Insight Team, the role applies advanced analytical techniques to complex datasets - including UCAS, HESA and internal recruitment data - to identify trends, evaluate performance and inform strategic decisions across Marketing, Recruitment and Communications.
    The postholder will turn data into clear, actionable insight, develop forecasting models, and produce engaging dashboards that support senior stakeholders in understanding market opportunities, applicant behaviour and competitive positioning across home and international student markets. They will work collaboratively across the recruitment cycle to ensure the University makes confident, insight-driven decisions.

    Main Activities and Responsibilities

    Provide high-quality market intelligence and data analysis to support targeted marketing, communications and student recruitment activity.
    Analyse internal and external datasets to identify trends, patterns and actionable insights to inform strategic and operational decision-making.
    Undertake complex data manipulation and produce robust statistical outputs using industrystandard tools and techniques including SQL, Python/R and advanced Excel.
    Support the development of regional, demographic and behavioural targeting strategies through data-driven insight and modelling.
    Work closely with Admissions to analyse live and historic data across the recruitment cycle, developing forecasting models and scenario analysis to identify risks and opportunities relating to applications, conversion and enrolments.
    Develop, maintain and enhance dashboards (e.g. PowerBI), ensuring accuracy, usability and relevance for stakeholders, and applying appropriate data validation and quality assurance processes.
    Contribute to the development and maintenance of recruitment funnel reporting, tracking engagement from enquiry through to enrolment.
    Conduct data-led environmental scanning to identify market trends, risks, opportunities and competitor activity.
    Maintain competitor intelligence and benchmarking datasets to inform the University's market positioning including UCAS, HESA OfS
    Provide expert advice, guidance and analytical interpretation to stakeholders across the University, including senior management, presenting complex insight clearly through narrative reporting and visualisation.
    Support the evaluation of marketing investment and recruitment activity thought quantitative analysis and modelling.
    Collaborate across departments to deliver data-driven insight projects.
    Supervise student ambassadors and manage external supplier relationships where appropriate.
    Continuously develop knowledge of emerging market research methods and analytical approaches, including new HE datasets, policy changes and analytical technologies.
    Work flexibly to support departmental and institutional priorities.
    Support the wide range of activities undertaken within the Department of Marketing, Recruitment and Communications in support of student recruitment, including Open Days, Offer Holder Days, Clearing and higher education exhibitions.Essential Criteria

    Proven experience of market intelligence and data analysis in a complex organisational context
    Experience of quantitative data analysis and working with large, complex datasets
    Ability to undertake complex data manipulation and produce robust analytical outputs
    Strong SQL skills for querying and manipulating relational datasets
    Experience using programming or scripting languages for analysis (e.g. Python, R, DAX)
    Experience of using BI or data visualisation tools (e.g. Power BI) to develop dashboards
    Experience of integrating multiple data sources into coherent analytical outputs
    Ability to interpret and communicate complex statistical and analytical insight to non-specialist audiences
    Demonstrable problem-solving skills and ability to select appropriate analytical approaches
    Ability to manage competing priorities and deliver outputs to deadline
    Ability to handle confidential, sensitive and regulated data appropriately
    Strong written and verbal communication skills
    Experience of working collaboratively and building effective stakeholder relationshipsIf you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website
    Salary description

    £38050.00 - £44131.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


    Vacancy actions

    Save as favorite
    Share vacancy
    Or apply later


    Birmingham England

    Jobs

    • Search for jobs
    • Jobs per location
    • Jobs per job profession
    • Jobs per employment
    • Jobs per educational attainment

    Jobbird

    • Switch to different region
    • Terms and Conditions
    © 2026 Jobbird