Innovation Manager - Data Specialist

Digital Data Foundation; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

An innovative data solutions firm in Greater London is seeking an Innovation Manager - Data Specialist to lead quantitative analysis and develop visualizations for data-driven decisions. The role involves statistical analysis, creating dashboards, and collaborating with stakeholders. A degree in data science or related field is required, along with experience in programming and data visualization tools. This position offers competitive compensation alongside various benefits.

Qualifications

• Degree level in data science, computer science, statistics or engineering with demonstrated data & analytics success in professional services.
• Experience with statistical programming languages (such as Python, SAS, R).
• Proficiency with data visualization tools such as Power BI, Tableau, Iridium.
• Knowledge of statistics, ML and NLP; ability to embed dashboards in collaborating tech.

Responsibilities

• Collect, organize, interpret, and summarize data using statistical methods.
• Create visual summaries of information in dashboards and infographics.
• Work with stakeholders to develop data analysis and project-related requirements.
• Automate manual data analysis processes and streamline data intake.
• Analyse large amounts of raw information to find patterns.
• Build predictive models and machine learning algorithms.

Skills

Statistical programming (Python, SAS, R)

Data visualization (Power BI, Tableau, Iridium)

Business analysis

Machine learning

NLP knowledge

NLP

Education

Degree in data science, computer science, statistics or engineering

Tools

Microsoft SharePoint

Microsoft Teams

HighQ

Job description

About the job Innovation Manager - Data Specialist

Innovation Manager – Data Specialist

£ Excellent Salary + Benefits - London

James Carrera of Digital Data Foundation is sourcing a specialist to lead hands‑on quantitative analysis and into visualisations for data‑driven decisions, paving the way for data innovation.

Responsibilities

• Through mathematical and statistical methods collect, organize, interpret, and summarize data. Performing data analysis in support of finding trends, patterns, and useful outcomes.
• Creates visual summary of information in dashboards, infographics and/or images that tell the story behind the data, presenting in written or verbal form to management and clients
• Work with stakeholders to develop data analysis and project‑related requirements to leverage data to solve business needs
• Automate manual data analysis processes, streamline data intake and analytics
• Analyse large amounts of raw information to find patterns in support of a business process
• Build predictive models and machine learning algorithms

Experience

Degree level in data science, computer science, statistics or engineering with demonstrated data & analytics success in professional services;

• Experience with statistical programming languages (such as Python, SAS, R)
• Proficiency with data visualization tools such as Power BI, Tableau, Iridium
• Demonstrated business analysis, solution design, consulting
• Knowledge of statistics, machine learning and NLP
• Experience in embedding dashboards within collaboration technologies (such as Microsoft SharePoint, Microsoft Teams, and HighQ)