Bringing data analytics and data science opportunities to candidates and clients alike
Working with complex customer data in order to gather valuable insights is integral for a company to succeed, grow and stand out from the crowd. With new ways to reach the hearts of customers, none of it can be done without the work of data analysts and data science professionals.
We pride ourselves on offering the best Data Analytics & Data Science jobs on the market. With dedicated consultants, we are confident we can help you find the next step in your career.
Latest Data Science & Analytics Jobs
Data Product Business Analyst
United Kingdom - London
Posted: 04/10/2023
Salary: £0.00
to £650.00 per Day
ID: 33224_BH
... Read more
Role: Data Product Business Analyst
Location: London/Cambridge/Luton (hybrid)
Duration: 6-months
Day Rate: £650, outside IR35
The Opportunity
I am working with a global leader in innovative healthcare solutions, renowned for groundbreaking research and development initiatives. This dynamic organization pioneers cutting-edge medical advancements, striving for excellence in improving global healthcare standards. The team is passionate about leveraging data-driven insights to drive strategic decisions and enhance their products' effectiveness.
They are seeking a Data Product Business Analyst to join their dynamic team. In this position, you will play a pivotal role in analyzing business processes and data, translating insights into actionable strategies. Collaborating with cross-functional teams, you will contribute to the development of data products that drive the organization's mission forward.
Key Responsibilities
- Collaborate with stakeholders to understand business requirements and translate them into data-driven product features and enhancements.
- Conduct in-depth analysis of large datasets to identify trends, patterns, and actionable insights.
- Work closely with data scientists, engineers and architects to define data product specifications and requirements.
- Develop and maintain detailed documentation related to data products, ensuring accuracy and relevance.
- Participate in product testing and validation, ensuring high-quality standards and optimal functionality.
- Monitor and evaluate data product performance, providing recommendations for continuous improvement.
- Communicate complex data findings to non-technical stakeholders, facilitating informed decision-making processes.
- Stay abreast of industry trends, emerging technologies, and best practices in data analysis and product development.
Requirements
- Bachelor's degree in Business, Data Science, Computer Science, or related field.
- Proven experience in business analysis, data analysis, and product development.
- Proven experience working in highly regulated industries.
- Proficiency in data visualization tools and techniques (e.g., Tableau, Power BI).
- Excellent communication skills with the ability to convey technical information to non-technical audiences.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment and independently when necessary.
- Familiarity with healthcare or life sciences industry is a plus.
If you are a proactive and analytical thinker passionate about leveraging data to drive impactful business decisions, we encourage you to apply.
Data Trainer
United Kingdom - London
Posted: 14/09/2023
Salary: £0.00
to £500.00 per Day
ID: 33142_BH
... Read more
Role: Data Trainer
Location: Remote
Contract Length: 8 weeks
Start Date: Mid November
Day rate: Up to £450 p/d
Are you an experienced Data Trainer ready to impart your expertise? We have a unique opportunity to lead a dynamic Academy of 5 individuals, commencing in late October/November. As our Data Trainer, you will shape the learning journey for an eager group, fostering a culture of excellence and skill acquisition.
Requirements
- Skilled Data/Data Analytics Trainer with a history of delivering tailored curriculum's.
- Excellent communication and presentation skills to engage learners effectively.
- Ability to adapt training content and approach, based on learner needs.
- In-depth understanding of data governance concepts and practices as well as analytics and visualisation.