Data Analyst

Ada Meher

Sheffield, England

11 months ago

Applications closed

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Data Analyst – Sheffield / Hybrid (1/2 Days in office per month) – Up to £48K

We are working with a unique company based in Sheffield, South Yorkshire, looking for a talentedData Analystto join their team. The company has tons of data streaming into the business, and in this role, you will dive deep into these complex data sets, extracting meaningful insights that tell a compelling story. Your work will play a key role in guiding business decisions and driving growth. The ideal candidate will be skilled in Python, SQL, and experienced with data visualisation and reporting tools like Tableau, PowerBI or Qlik.

Why Apply?

The business has a fantastic reputation, giving their staff the autonomy they need to deliver. They’re known for their flexibility, where they give you the opportunity to balance your work around your life, as opposed to balancing your life around your work. They want you in the office twice a month to catch-up with the team, otherwise you’re free to work the way that you feel will allow you to succeed.

Key Responsibilities:

Analyse large, complex data sets to extract actionable insights and identify trends.
Develop data-driven reports and visualisations that clearly communicate findings to both technical and non-technical stakeholders.
Collaborate with different teams to understand data needs and deliver insightful analyses that guide decision-making.
Utilise Python and SQL to manipulate and query data from various sources.
Create dashboards and reports using tools such as Tableau or Power BI to present clear, visual insights.
Support data-driven initiatives by ensuring data integrity and accuracy.

Key Requirements:

Proficiency in Python and SQL for data manipulation and analysis.
Experience with reporting tools such as Tableau, PowerBI or Qlik.
Strong analytical skills with the ability to translate complex data into easy-to-understand insights.
Excellent communication skills to tell a data-driven story to stakeholders at all levels.
Ability to work independently and collaboratively within a team.
A passion for solving complex problems through data analysis.

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