Data Analyst
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This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.
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Position Overview & Specifications
Calling all DATA ANALYSTS! \uD83C\uDF1F
Here's your opportunity to be part of a global team of passionate marketers, artists, designers, product specialists, and visionaries who are working towards creating a more positive life on this planet. At TOMO, we focus on wellness, sustainability, the love for design, and building purpose-driven brands.
Hereβs what youβll get to do:
- Collect and analyze large datasets to identify trends, patterns, and insights that can be used to inform business decisions.
- Develop and maintain data models, algorithms, and statistical models to support analysis.
- Develop and maintain dashboards and reports to communicate findings and insights to stakeholders.
- Work with cross-functional teams to identify and solve complex business problems using data-driven insights.
- Develop and implement data quality checks to ensure accuracy and consistency of data.
- Identify and recommend process improvements to increase efficiency and effectiveness of data analysis.
- Collaborate with IT and other teams to ensure data is properly stored, processed, and protected.
- Stay up-to-date with emerging trends and tools in data analysis, machine learning, and artificial intelligence.
- Develop and maintain documentation on data sources, data structures, and data analysis methods.
- Communicate data analysis findings and insights to non-technical stakeholders in a clear and concise manner.
To succeed in this role, you should have:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related field.
- Strong analytical and problem-solving skills, with the ability to work with large datasets and identify meaningful insights.
- Proficiency in data analysis tools such as SQL, Excel, R or Python.
- Experience in data visualization tools such as Tableau or Power BI.
- Strong communication skills, with the ability to present findings and insights to stakeholders.
- Experience with data modeling, statistical analysis, and machine learning algorithms is a plus.
- Ability to work independently as well as part of a team in a fast-paced environment.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (Β£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: General
Based on transatlantic hiring benchmarks for Data Analyst roles across Open League's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to General.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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