SQL Data Analyst

Trust In SODA; Leeds; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

An innovative firm is seeking a passionate SQL Data Analyst to join their skilled team in Leeds. This exciting role involves analyzing complex datasets to deliver actionable insights, developing SQL queries, and creating BI dashboards. Candidates should have a strong background in SQL, Business Intelligence tools, and Python. This hybrid position offers the opportunity to collaborate with various stakeholders and make a significant impact on data-driven decision-making. If you are eager to leverage your analytical skills and thrive in a dynamic environment, this could be the perfect opportunity for you.

Qualifications

• Strong background in SQL, BI, and Python required.
• Proficiency in data extraction and analysis is essential.

Responsibilities

• Analyse complex datasets to provide actionable insights.
• Develop and maintain SQL queries and BI dashboards.

Skills

SQL

Business Intelligence (BI)

Python

Analytical Skills

Communication Skills

Tools

Tableau

Power BI

Job description

SQL Data Analyst
Leeds – Hybrid
£400 – £420 Outside IR35 per day
6 months

My client is seeking a SQL Data Analyst to join their skilled team on an initial 6 month contract.
They are looking for passionate analysts with a strong background in SQL, Business Intelligence (BI), and Python.

Key Responsibilities:

• Analyse and interpret complex datasets to deliver actionable insights.
• Develop and maintain SQL queries and stored procedures to support business needs.
• Create and optimise BI dashboards and reports to visualise data effectively.
• Leverage Python for data manipulation, automation, and advanced analytics.
• Collaborate with stakeholders to understand business requirements and deliver data solutions.

Skills Required:

• Proficiency in SQL for data extraction, transformation, and analysis.
• Experience with BI tools such as Tableau, Power BI, or similar.
• Knowledge of Python for data analysis and scripting.
• Strong analytical and problem-solving skills.
• Excellent communication skills to present findings to technical and non-technical audiences.