Company Overview
Deesha, which is part of Ei Square, is an AI-powered EdTech platform designed to transform the way educational institutions manage and utilise their data. By providing actionable insights and streamlining data-driven decision-making, Deesha empowers leaders to drive positive change and improve student outcomes.
Role overview
Deesha is seeking a detail‑driven, analytically minded Education Data Specialist to help schools and trusts unlock the full value of our data analytics platform. You will play a pivotal role in transforming raw education data into meaningful insights—supporting leaders, teachers, and operational teams to make evidence‑based decisions. This role blends technical data expertise with a strong understanding of school systems, making it ideal for someone who thrives at the intersection of education, analytics, and product innovation.
Key responsibilities
Data Analysis, Integration and Quality:
· Analyse and Validate data from a variety of educational sources.
· Conduct quantitative and qualitative data analysis to identify trends, disparities, and opportunities for improvement.
· Create, manage and monitor data flows from various customer environments.
· Ensure data accuracy, completeness, and consistency across all customer environments.
· Troubleshoot data issues and work with technical teams to resolve integration challenges.
· Perform detailed data analysis using SQL and other tools and collaborate with product and technical team to inform product decisions and validate feature performance.
· Support A/B testing and experimentation to validate product changes and educational improvements.
Insight Generation & Analysis
* Analyse school and trust‑level datasets to identify trends, risks, and opportunities.
* Build dashboards, reports, and visualisations that translate complex data into clear, actionable insights.
* Support customers in interpreting analytics related to attendance, attainment, behaviour, safeguarding, and operational performance.
Customer Support & Enablement
* Work closely with Customer Success Managers to help schools understand and use their data effectively.
* Deliver training sessions, workshops, and guidance on data literacy and best‑practice analytics.
* Provide expert advice on how to structure, clean, and interpret education data.
Product & Data Model Development
* Collaborate with Product and Engineering teams to refine data models, metrics, and platform features.
* Contribute to the design of new analytics capabilities, ensuring they reflect real school needs.
* Test new data features and support quality assurance processes.
Technical Proficiency:
· Past experience must be in the data delivery projects
· In depth experience in writing complex SQL queries using joins, aggregates, set operators, window functions etc.
· Strong hands-on experience in analysing data on large datasets(Terabytes)
· Extensive experience in Dimensional data modelling including complex entity relationships and historical data entities
· Experience in building and delivering data marts, data warehouses, data lake and delta lake solutions.
· Development of data ingestion pipelines and robust ETL frameworks. Implementation of data cleansing and data quality features in ETL pipelines.
· Must have strong professional experience of data engineering on Azure
· Experience in documenting low level ETL designs
· Implementation of data streaming solutions
· Object Oriented Programming
· You must have worked closely with data scientists on the development of machine learning models. You need to understand what type of data is required for the data scientists.
Qualifications:
· 2+ years of experience in data analysis, preferably in an educational or public sector setting.
· Proficiency in data analysis tools such as Excel, SQL, R, Python, or Power BI/Tableau.
· Strong understanding of educational metrics, accountability systems, and data reporting.
· Excellent written and verbal communication skills.
· Ability to work independently and collaboratively with cross-functional teams.
· Strong analytical skills, meticulous attention to detail, and the ability to derive meaningful insights.
· Experience working in an Agile environment is a plus.
· Basic data cloud transformation knowledge
· Experience with student information systems (e.g., PowerSchool, iSAMS, Arbor, Bromcom).
· Knowledge of K–12 or higher education operational environments.
Nice to have:
· Background in business analysis or product management.
· Understanding of data pipelines and ETL processes.
· Experience with Agile or Scrum methodologies.
· Experience working in EdTech or with educational data (e.g., assessments, learning progress, curriculum).
· Exposure to A/B testing frameworks or experimentation platforms.
· Basic understanding of Python, R, or another scripting language is a plus.
· Experience in international education systems (e.g., IB, British, American curricula).
· Knowledge of data requirements for international accreditation bodies (e.g., CIS, IB).
What's in it for you:
· A platform to grow.
· Flexible ways of working.
· Competitive salary.
· Opportunity to make a difference.
· Be part of a big family
· Enjoy a wonderful work-life balance.
This is a full-time role, working flexibly from home and at client sites. We can offer a competitive salary in line with experience, 28 days holiday and performance-based bonus. We take pride in having a supportive, trusting, flexible and outcome based working environment. If you are passionate about advancing data landscape for educational institution and improving student outcomes, we invite you to contribute and join our team at Ei Square and drive Deesha features.
Job Type: Full-time
Pay: Up to £40,000.00 per year
Benefits:
* Company pension
* Flexitime
* Work from home
Experience:
* Primary or Secondary School: 2 years (required)
* SQL: 3 years (required)
Work authorisation:
* United Kingdom (required)
Work Location: Hybrid remote in Camberley (Surrey)