Data Analyst (Remote - EU or UK) at Jobgether

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Visualization, Business Intelligence Tools, Data Analysis, eCommerce Metrics, Stakeholder Engagement, Data Quality, Agile, Web Analytics, Git, Event Tracking, AWS Redshift, Tableau, Looker, Lightdash

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in the European Union / United Kingdom. In this role, you will play a key part in driving data-informed decisions by translating complex datasets into actionable insights across multiple business areas. You will collaborate closely with product managers, engineers, and other stakeholders to define meaningful KPIs, develop dashboards, and deliver data visualizations that guide strategy and operational improvements. The position requires a strong analytical mindset, technical skills in SQL and BI tools, and the ability to communicate insights clearly to both technical and non-technical teams. This is an excellent opportunity to contribute to a dynamic, mission-driven digital healthcare platform while working in a flexible, remote-friendly environment. Accountabilities As a Data Analyst, you will: Support business decision-making by defining and tracking meaningful KPIs around product performance. Maintain and optimize the BI platform, ensuring dashboards and reports are accurate and actionable. Create engaging data visualizations and dashboards to clearly communicate insights and trends. Present findings to stakeholders to inform product design, marketing, and operational decisions. Collaborate with cross-functional teams to identify opportunities for process improvements and data-driven solutions. Assist in maintaining data quality and consistency across large-scale datasets. The ideal candidate will have: Intermediate SQL skills and experience writing efficient queries on large datasets (AWS Redshift, MySQL). Basic Python proficiency and familiarity with data manipulation and analysis. Experience with BI tools such as Tableau, Looker, Lightdash, or PowerBI. Strong analytical abilities and experience deriving actionable insights from data. Understanding of typical eCommerce funnels and user behavior metrics. Confidence engaging with stakeholders and gathering requirements for data-driven solutions. Self-motivated, flexible, and open to learning in a fast-changing environment. Preferred / Nice-to-Have: Professional experience in healthcare or digital healthcare. Exposure to modern data stacks (e.g., AWS Redshift, DBT, Looker, Tableau, Lightdash). Familiarity with Agile/Kanban workflows and tools like Jira. Experience with web analytics or marketing tools (Segment, Google Analytics, Adwords). Knowledge of version control (Git) and event tracking. Personal Qualities: Collaborative, empathetic, and patient-focused. Strong initiative, inquisitive mindset, and resilience in the face of challenges. Humble, open to feedback, and supportive of colleagues. Innovative and solution-oriented, able to drive meaningful impact through data. 25 days holiday + bank holidays + birthday off. Healthcare cash back plan through SimplyHealth. Access to wellness resources, advice, counseling, and corporate discounts. 20% discount on products and services for you and your family/friends. Remote and hybrid flexible working options. MacBook Pro provided. Flexible bank holidays to suit your schedule. Additional benefits after probation: £500 annual training budget. Company sabbatical after 2 years of service. Opportunity to work from overseas for 2 months per year. Cash vouchers after 3, 5, and 10 years of service. Flexible working hours, with core availability 10:00 am–4:00 pm GMT/BST, and support for part-time arrangements. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

As a Data Analyst, you will support business decision-making by defining and tracking meaningful KPIs around product performance. You will collaborate with cross-functional teams to identify opportunities for process improvements and data-driven solutions.