AI Summary
Tek Tron IT is seeking Data Analysts of all experience levels for a fully remote, permanent position within the UK. The role involves translating data into actionable insights, developing reports and dashboards, and collaborating with cross-functional teams. Candidates must have the right to work in the UK.
Key Highlights
Collect, clean, analyze, and interpret large datasets.
Develop dashboards, reports, and visualizations using tools like Power BI, Tableau, or Looker.
Collaborate with stakeholders to understand data requirements and deliver analytical solutions.
Ensure data quality, integrity, and documentation of data processes.
Present findings clearly to both technical and non-technical audiences.
Technical Skills Required
Benefits & Perks
Remote (United Kingdom)
Full-time
Permanent
Job Description
Job Description: Data Analyst (Remote – UK)
Employment Type: Full-time, Permanent
Location: Remote (United Kingdom)
Eligibility Requirement: Must have the right to work in the UK. No visa sponsorship provided.
About The Role
We are looking for Data Analysts across all experience levels to join our data-driven team. The successful candidate will work closely with cross-functional business and technical teams to translate data into meaningful insights, reporting, and recommendations. This role is fully remote within the UK, but candidates must have existing work eligibility.
Key Responsibilities
- Collect, clean, analyze, and interpret large datasets to produce actionable insights.
- Develop dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.
- Support business decisions by providing trend analysis, forecasting, and performance metrics.
- Collaborate with stakeholders to understand data requirements and deliver analytical solutions.
- Ensure data quality, integrity, and documentation of data processes.
- Use statistical methods to identify trends, anomalies, and improvement opportunities.
- Work with engineering teams to enhance data pipelines and automation where needed.
- Present findings clearly to both technical and non-technical audiences.
- Proficiency in SQL for data extraction and manipulation.
- Experience with visualization tools (Power BI, Tableau, Looker, Qlik).
- Strong knowledge of Excel for reporting and analysis.
- Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Understanding of statistical concepts and analytical techniques.
- Familiarity with Python or R for data analysis (experience varies by level).
- Knowledge of ETL processes and data modeling principles.
- Strong analytical thinking and problem-solving skills.
- Ability to translate data into clear, actionable insights.
- Excellent communication and presentation skills.
- Strong attention to detail and data accuracy.
- Ability to work independently in a remote environment and manage multiple tasks.