Intermediate Data Analyst

Intermediate Data Analyst

About Oplevel
Oplevel is a small but fast-growing data analytics and technology-focused consultancy. Our core product, Oplevel, enables us to model data and provide data services to clients easily and repeatably using Activity Based Modelling. We deliver a full-service approach, managing the entire data journey: from ETL processes, data warehouse setup, and data modeling, to implementing business logic, developing insightful reporting and dashboards, and activating data back into source systems to drive action.

Our clients span across Healthcare, Procurement, SAAS, Media and Startups. We are continuing to grow and will be adding more clients in the coming months.

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About The Role

We are seeking an Intermediate Data Analyst to join our growing team. You will work closely with clients and internal stakeholders to deliver end-to-end data solutions. This role requires a strong foundation in data engineering, data modeling, and analytics, with an ability to translate business needs into technical solutions.

You must be comfortable managing relationships and balancing workload across multiple clients.

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Key Responsibilities

• Design, build, and maintain ETL pipelines for client projects.
• Set up and manage data warehouses to support scalable analytics solutions.
• Develop, optimize, and maintain SQL queries and scripts.
• Model data and implement business logic to meet client requirements.
• Build and maintain business intelligence dashboards and visualizations.
• Collaborate with stakeholders to gather requirements and deliver actionable insights.
• Ensure data accuracy, reliability, and integrity across solutions.
• Support data activation by integrating insights back into client systems.
• Manage multiple client relationships and projects simultaneously.

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Skills & Qualifications

• 3–5 years of experience in data analytics, data engineering, or a related field.
• Strong SQL skills and experience with relational databases.
• Experience with ETL processes and tools.
• Experience setting up and managing data warehouses (e.g., BigQuery, Snowflake, Redshift).
• Proficiency in business intelligence tools (e.g., Power BI, Looker, Tableau, Sigma).
• Ability to understand and translate business requirements into data solutions.
• Strong communication and stakeholder management skills.
• Experience working across multiple industries is an advantage.
• Detail-oriented with a strong problem-solving mindset.
• Willingness to help develop our product further - working with engineers to help guide the future of the product.

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About You

You’ll thrive in this role if you are:

• Proactive and comfortable taking ownership of projects from start to finish.
• Independent, self-motivated, and able to manage your own workload effectively.
• Curious and eager to learn new technologies and industries.
• Skilled at balancing technical detail with clear communication to non-technical stakeholders.
• Excited by the variety of working across different clients and sectors.
• Collaborative, but confident working autonomously in a remote-first environment.

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Compensation & Benefits

• Salary range: $80,000 – $120,000 USD, depending on experience.
• Fully remote role, with a preference for candidates based in London, England.
• Unlimited annual leave.
• Opportunity to work in a growing consultancy with exposure to a wide range of industries.
• Collaborative and innovative environment where your ideas will shape client outcomes.
• Flexible working arrangements.

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How to Apply

If you’re excited to work in a dynamic consultancy environment and help clients unlock the full potential of their data, we’d love to hear from you - contact mitchell@oplevel.ai with your details and a CV

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