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Data Analyst
Tectonic Software
- London, England, United Kingdom
- London, England, United Kingdom
About
About The Company How to Job Ltd is a dynamic and innovative recruitment firm dedicated to connecting talented professionals with leading organizations across various industries. With a strong focus on technology, we pride ourselves on understanding the unique needs of both employers and candidates to facilitate successful placements. Our commitment to excellence, integrity, and personalized service has established us as a trusted partner in the talent acquisition landscape. We continuously strive to foster a positive and inclusive environment, supporting career growth and development for our clients and candidates alike.
About The Role We are currently seeking an Entry-Level Data Analyst to join our client's pioneering tech team based in Manchester, UK. This role offers a unique opportunity for recent graduates or individuals with some initial experience in data analytics to develop their careers within a fast-paced, innovative environment. The successful candidate will be instrumental in analyzing complex datasets, deriving actionable insights, and supporting strategic decision-making processes. The position emphasizes professional growth, continuous learning, and active contribution to cutting-edge projects that shape the future of technology.
Qualifications The ideal candidate will possess a Bachelor's degree in Computer Science, Data Science, Statistics, or a related technical field. A strong foundation in data analysis, coupled with a genuine interest in the tech industry, is essential. Proficiency in Excel is required, while familiarity with SQL, Python, R, or similar data analysis tools will be highly advantageous. Candidates should have a good understanding of the technology sector's landscape, including current challenges and trends. Excellent problem‑solving skills, meticulous attention to detail, and the ability to communicate complex data insights clearly and effectively are critical for success in this role.
Responsibilities
Gather, process, and scrutinize data from multiple sources to ensure accuracy, consistency, and relevance.
Perform comprehensive data analysis to identify trends, patterns, and opportunities that support business objectives and product development.
Create, update, and maintain detailed reports and dashboards, providing clear and actionable insights to both technical and non-technical stakeholders.
Collaborate closely with product development teams and strategic planners to align data insights with organizational goals.
Participate in innovative projects, applying analytical techniques to solve complex challenges and drive product innovation.
Continuously enhance your data analytics skills by staying current with industry tools, methodologies, and best practices.
Benefits The successful candidate will receive a competitive starting salary ranging from £37,000 to £42,000 annually. The role supports extensive remote working options, promoting a healthy work-life balance. Our client offers an engaging and inclusive work environment within Manchester's vibrant tech hub, providing ample opportunities for networking, professional development, and career progression. The benefits package includes comprehensive health insurance, a robust pension scheme, and a generous holiday allowance. Additionally, employees will gain exposure to cutting-edge technologies and be supported in their continuous learning journey, fostering both personal and professional growth within the tech industry.
Equal Opportunity How to Job Ltd and our clients are committed to creating a diverse and inclusive workplace. We believe that a variety of perspectives and experiences enhances innovation and drives success. We welcome applications from candidates of all backgrounds, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. Our hiring processes are fair and unbiased, ensuring equal opportunity for all qualified individuals to join and thrive within our organization.
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Languages
- English
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