Data Analyst

About Position

Data Analysts don’t just look at numbers—they reveal the story behind them. With a sharp eye for trends and an instinct for what matters, they turn messy data into meaningful insight that drives smart, strategic decisions.

Whether it’s forecasting growth, finding hidden revenue leaks, or tracking campaign performance, they connect the dots and deliver clarity where it counts—so your team can act faster, smarter, and with full confidence.

From

£800.00

per month

Start hiring now!

What They Do

Data Analysts collect, process, and analyze structured and unstructured data to uncover patterns, trends, and correlations. They work closely with stakeholders to define business questions, visualize results, and translate findings into actionable recommendations. Whether it’s building dashboards, running A/B tests, or forecasting demand, they turn data into a competitive edge.

How They’ll Help Your Company

By turning data into decisions, Data Analysts help your company reduce guesswork, identify growth opportunities, and optimize key operations. They empower teams with clear, real-time insights that improve performance, customer targeting, and strategic planning. Their ability to surface meaningful information drives smarter, faster, and more informed business outcomes.

Key Skills & Tools

Data Analysis – Expert in using SQL, Excel, and Python/R to explore, manipulate, and analyze large datasets.
Data Visualization – Proficient in tools like Tableau, Power BI, or Looker to create clear, compelling dashboards.
Statistics & Modeling – Solid understanding of statistical analysis, A/B testing, and predictive modeling techniques.
ETL & Data Cleaning – Experienced in cleaning messy data and using ETL tools like Airflow, Talend, or custom pipelines.
Business Intelligence – Supports data-driven strategy with key insights into performance, trends, and customer behavior.
Tools & Platforms – Comfortable with Google Analytics, BigQuery, Snowflake, and cloud platforms like AWS or GCP.
Business Acumen – Aligns data projects with strategic goals, translating technical findings into clear, actionable business advice.
Collaboration – Works across departments, translating technical findings into language decision-makers can act on.