Innovation Manager - Data Specialist
Digital Data Foundation- Location
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Innovation Manager - Data Specialist - Digital Data Foundation | Career Page
Innovation Manager - Data Specialist
London, England, United Kingdom
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Job Openings Innovation Manager - Data Specialist
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 translating 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)
For a confidential discussion contact James Carrera
Digital Data Foundation
Apply for Position
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Share
- Line
- X (Formerly Twitter)
Skills
- Machine Learning
- Python
- SAS
- R
- Power BI
- Tableau
- NLP
- SharePoint
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