Junior Data Analyst
Junior Data Analyst
Location: Remote
Contract: Inside IR35
Duration: 3-months
Overview of the Programme
The Data Analyst delivers high quality analysis, reporting, and insight to support operational improvement and digital transformation. The role turns raw, inconsistent, or evolving data into structured datasets, clear reporting, and actionable insights. Working across multiple business areas, the analyst ensures data is accurate, reliable, and aligned to business needs.
Required Skills & Experience
- Strong understanding of data analysis principles and data modelling.
- Experience with structured and unstructured datasets.
- Ability to work with incomplete or evolving data.
- Knowledge of data quality, validation, and governance.
- Experience translating business requirements into data outputs.
- Power BI (dashboards, reporting, DAX), SQL for data extraction and transformation, Python or similar advantageous.
- Experience with Azure / Fabric desirable.
- Strong Excel and data manipulation skills.
Key Deliverables & Expected Outcomes
Data Analysis, Preparation & Reporting
- Analyse and interpret data from multiple systems.
- Identify sources, structures, and required transformations.
- Clean, validate, and prepare datasets.
- Build data models and metrics using Power BI and DAX.
- Develop dashboards and reports that support decision‑making.
- Create baselines, track key metrics, and structure comparisons (before/after, trends).
- Produce clear outputs that explain performance and outcomes.
Requirements Gathering & Stakeholder Support
- Engage with users to understand reporting and data needs.
- Translate requirements into structured datasets or reports.
- Work with operational, commercial, finance, and digital teams to ensure outputs are relevant.
Data Quality & Governance
- Perform data validation and consistency checks.
- Identify and escalate data quality issues.
- Maintain organised, traceable datasets and documentation.
Performance & Impact Measurement
- Support measurement of operational and transformation initiatives.
- Maintain metrics frameworks and track performance trends.
- Contribute to baselines, ongoing tracking, and outcome comparisons.
- Highlight data limitations, assumptions, and risks.
Operational & Project Support
- Support reporting cycles, data requests, and project analysis.
- Assist with baseline reporting and performance tracking.
- Work with teams to improve data capture at source.
Continuous Improvement
- Identify opportunities to improve reporting processes and data quality.
- Support standardisation and better data practices.
Coaching & Knowledge Sharing
- Contribute to training materials and guidance on reporting tools.
- Support and coach junior analysts and business users.
