Data Analyst

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profile Job Location:

London - UK

profile Yearly Salary: £ 52269 - 54360
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Description

Discover yourself in Lewisham where what you do makes a difference to our vibrant and culturally diverse communities!

We have a rich history of welcoming people from all over the world and are proud to be recognised as the UKs first Borough of Sanctuary for our work in championing the rights of refugees and migrants.

Introduction

We are looking for a highly motivated and experienced Data Analyst to join our award-winning corporate Data Science Insight & Performance Team and help us solve some of the most pressing and complex challenges faced by local government.

You will work on a wide range of analytical and strategic projects to support diverse business needs and Councils transformation programme drive service improvements and deliver positive outcomes for residents we serve.

Your analytical solutions and insight will support forward planning by evaluating evidence identifying trends and risks and guiding transformation initiatives and targeted interventions across vital services.

If youre passionate about using data for good to improve services and outcomes for residents committed to delivering excellent customer experiences and thrive in a collaborative future-focused environment this is the perfect role for you.

Whats the role

Lead analytical and insight projects to inform evidence-based decision making across the organisation and deliver positive outcomes for residents we serve.

Translate complex business challenges into practical analytical solutions and actionable insights. Manage projects ensuring quality strategic business alignment and strong stakeholder engagement.

Design and deliver analytical insights that are robust transparent and compliant with GDPR and DPIAs embedding trusted and responsible principles into operational systems and decision-making processes.

Effectively communicate complex analysis through clear actionable insights dashboards and visualisations tailored to both technical and non-technical audiences.

This role is temporary for 6 months. Part-time of 21 hours per week 3 days a week.

What were looking for

  • Extensive hands-on experience analysing complex datasets and delivering analytical insights and reports to support diverse business needs and challenges.
  • Experience applying statistical and advanced analytical techniques such as regressions factor analysis significance testing correlation analysis hypothesis testing clustering and forecasting.
  • Demonstrable experience using Python and R libraries (e.g. pandas scikit-learn dplyr tidyr ggplot2) to deliver analysis insight and visualisations.
  • A natural problem solver with an inquisitive mind who is highly organised proactive methodical reliable and able to work both independently and as part of a team.
  • Extensive experience using data visualisation tools to design and deliver reports dashboards and interactive visualisations (e.g. Power BI R Markdown Quarto).
  • Excellent communication skills and being able to communicate complex issues simply and in a way that is tailored for different audience.

Whats in it for you

Excellent training and development opportunities plus a range of benefits including:

  • Generous holiday allowance
  • Local Government Pension scheme
  • Flexible working and family friendly policies
  • Season ticket and bicycle loans
  • A range of staff discounts including local subsidised gym memberships
  • Supportive staff networks

Location

The job is primarily based in Laurence House Catford London SE6 4RU but we operate a hybrid approach where you will be required to work both in the office and from home on a regular basis.

Special conditions

  • Demonstrable proficiency in Python or R with experience applying these skills to complex analytical challenges (lead essential criteria).
  • Bachelors degree in data analytics or numerate discipline or demonstrable relevant career experience as a professional data analyst.

The recruitment process is anonymous and we dont accept CVs.

Applicant handbook- please read the guidance in this handbook when applying. It is essential that you complete the application fully and that your supporting statement covers how you meet each of the person specification criteria listed.

For an informal discussion about this job please contact Mia Polovina Data Science Insight & Performance Lead at @.

Please click here to view the Job Description and Person Specification

Salary

per annum pro-rata (P04)

N.B: All appointments will be offered at the minimum spinal column point (SCP) for the grade of the role. The only exception to this will be when matching current salary (up to the maximum of the scale) which is subject to evidential proof.

Diversity

Lewisham Council is a Disability Confident employer. We welcome and encourage job applications of all abilities. If you require any reasonable adjustments in the application or interview please contact the lead contact on this advert. We will make reasonable adjustments to make sure our disabled applicants and those with health conditions are supported throughout our recruitment process. We support the access to work scheme further details are available at Council has a dedicated employment support service Lewisham Works which offers Lewisham residents guidance in relation to applying for jobs. If you want to join Lewisham Works please email JobsAndSkills@ an advisor will be in touch with you.

The Council reserves the right to close adverts early if there is a large response.

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Required Experience:

IC

DescriptionDiscover yourself in Lewisham where what you do makes a difference to our vibrant and culturally diverse communities!We have a rich history of welcoming people from all over the world and are proud to be recognised as the UKs first Borough of Sanctuary for our work in championing the righ...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics