Jobs in Oldham, United States

Apply4U is hiring on behalf of a forward-thinking client for the position of Remote Junior Data Analyst. This is a flexible, remote opportunity ideal for individuals with foundational skills in Excel and SQL who are eager to gain hands-on experience working with real-world datasets. Whether you're a recent graduate, currently studying, or looking to pivot into data analytics, this role offers the chance to grow your skills while supporting a dynamic team.

Apply4U is a UK-based job search and recruitment platform that connects talented professionals with companies across various industries. Known for its personalized approach and commitment to career development, Apply4U helps candidates find roles that match their skills, goals, and lifestyle. This particular opportunity is part of their remote hiring initiative, designed to support flexible work arrangements and digital-first teams.

• Location: Remote – United Kingdom
• Employment Type: Part-Time or Full-Time
• Salary: £15–£18 per hour (based on experience and qualifications)
• Work Mode: 100% remote, flexible hours

As a Junior Data Analyst, you’ll play a critical role in helping the team make data-driven decisions. You’ll be responsible for collecting, cleaning, and organizing data from various sources, creating reports, and identifying trends that inform business strategies. This is a collaborative role that also offers opportunities to support senior analysts and contribute to ongoing projects.

• Data Collection & Cleaning: Gather data from internal and external sources, ensuring accuracy and consistency
• Report Creation: Use Excel and SQL to build and maintain reports that provide actionable insights
• Trend Analysis: Identify patterns and trends in data to support strategic decision-making
• Automation Support: Assist in automating repetitive data tasks to improve efficiency
• Project Assistance: Collaborate with senior analysts on ad hoc projects and data requests
• Documentation: Maintain clear records of data processes and findings for future reference

To succeed in this role, candidates should demonstrate:

• Strong Excel proficiency: Including formulas, pivot tables, VLOOKUP, and chart creation
• Basic SQL knowledge: Familiarity with SELECT, WHERE, and JOIN commands
• Analytical mindset: Ability to interpret data and spot inconsistencies or opportunities
• Attention to detail: Precision in data handling and reporting
• Self-motivation: Comfortable working independently in a remote environment
• Communication skills: Ability to present findings clearly and collaborate with team members

While not mandatory, the following will strengthen your application:

• Degree (or current enrollment) in Data Science, Business, Mathematics, or a related field
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Familiarity with CRM or ERP systems
• Exposure to Python or R for data analysis

This role is perfect for someone who:

• Is looking to build a career in data analytics
• Enjoys solving problems and working with numbers
• Values flexibility and remote work
• Wants to contribute to meaningful projects while learning on the job
• Is proactive, curious, and eager to grow professionally

• Remote flexibility: Work from anywhere in the UK
• Skill development: Gain real-world experience with data tools and business processes
• Supportive team: Collaborate with experienced analysts and mentors
• Career progression: Opportunities to move into more advanced analytics roles
• Inclusive culture: Work in an environment that values diversity, equity, and inclusion

Apply4U is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, gender, age, religion, disability, or background. We encourage candidates from underrepresented groups to apply.

If you’re ready to take the next step in your data career, click here to apply now through Apply4U’s platform. Submit your CV and a brief cover letter outlining:

• Your experience with Excel and SQL
• Why remote work suits your lifestyle
• Your availability (part-time or full-time)
• Any relevant academic or project experience

Shortlisted candidates may be invited to a virtual interview and a short data task to demonstrate their skills.