About the Company

Our client is a growing, data-driven organisation using analytics to support smarter decision-making across operations, product, and customer experience. With a strong focus on efficiency and insight, the company relies on accurate data and clear reporting to guide business strategy.

They are now looking to engage a Part-Time Data Analyst to support ongoing reporting, analysis, and ad-hoc data requests.

About the Role

As a Data Analyst (20 hours per week), you will work closely with business stakeholders to analyse data, produce insights, and maintain dashboards. This role is ideal for an experienced analyst seeking flexible hours, or a mid-level analyst balancing other commitments.

Key Responsibilities

• Analyse datasets to identify trends, patterns, and performance insights

• Build and maintain dashboards and regular reports for stakeholders

• Support ad-hoc analysis requests across teams

• Perform data cleaning, validation, and quality checks

• Translate business questions into clear analytical outputs

• Document assumptions, metrics, and methodologies

Requirements

Essential

• 2+ years’ experience in a Data Analyst / Business Intelligence role

• Strong SQL skills for querying and analysing data

• Confident use of Excel / Google Sheets

• Experience with at least one BI tool (Power BI, Tableau, Looker, etc.)

• Ability to communicate insights clearly to non-technical audiences

• Strong attention to detail and time-management skills

Desirable (not essential):

• Experience with Python or R for data analysis

• Experience working in tech, fintech, or fast-paced environments

• Familiarity with cloud data warehouses (BigQuery, Snowflake, Redshift)

What’s on Offer

• Flexible part-time hours (20 per week)

• Remote or hybrid working

• Competitive hourly rate (dependent on experience)

• Opportunity to work on meaningful, real-world datasets

• Supportive and collaborative team environment

How to Apply

Apply via ISCANET with your CV and a short summary of your availability and relevant experience.