Junior Data Analyst – 29274

The Emerald Group; United Kingdom; Remote; GBP 25,000 - 35,000; Full time

Job summary

A data-focused company is seeking a highly motivated Junior Data Analyst to join their remote data team. The successful candidate will gather, clean, and organize data from various sources to support reporting and analysis. Responsibilities include defining reporting needs with stakeholders, creating visualizations in Power BI and Excel, and supporting enhancements to SQL Server databases and data models. This is an excellent opportunity for someone looking to build a career in data analytics.

Qualifications

• Experience in gathering and organizing data from various sources.
• Intermediate knowledge of Excel and ability to create dashboards.
• Desire to build a career in data analytics or business intelligence.

Responsibilities

• Gather and clean data to support reporting and analysis.
• Work with stakeholders to define reporting needs.
• Create visualisations in Power BI and Excel.

Skills

Data cleaning

Data analysis

Power BI

Excel

Job description

The Company is looking for a highly motivated and curious individual to join their data team as a Junior Data Analyst.

• Location: Remote
• Category: Analyst
• Type: Permanent

Key Duties (Including but not limited to):

• Gather, clean, and organise data from a variety of sources to support reporting and analysis
• Work with business stakeholders to define reporting needs and transform them into practical data solutions
• Create visualisations and dashboards in Power BI and Excel to communicate insights clearly
• Support enhancements to SQL Server databases and data models under the guidance of senior team members
• Has worked with data in a university, internship, or junior level capacity
• Looking to build a career in data analytics, reporting, or business intelligence
• Excel to an intermediate level of knowledge
• Able to analyse and interpret data and translate into various reports
• Translate business requirements into data / reporting requirements
• Practical experience in: Collating data from multiple sources, Cleaning data to remove duplicates, fix errors, and prepare for analysis, Analysing data to find trends, summaries, or actionable insights