Data Analyst Remote
Job description
About Us
Projecting Success is changing the face of project management from the inside out. There are huge untapped opportunities to exploit the rich seams of data produced by the projects we deliver. From simple dashboards to AI, automation to forensic analysis. There is so much potential to make a difference.
In December 2017 we established the project data analytics community that has since grown to over 9,000 people. We run 3 Project:Hack events a year and are also helping to set up 2 data trusts in the project delivery domain, which will be a world first. We are passionate about what we do and are helping to change multiple professions across multiple industries. By leveraging data and applying data science we are seeking to help society deliver more projects for less, with a higher degree of delivery confidence. We are helping to lead the way.
We are a small but growing company, but we have bold ambitions. Our CEO is the Co-Chair of the Project Data Analytics Task Force, one of the DataIQ100 and is helping to shape the future of this game changing discipline. The CEO is looking for a Chief Digital and Data Officer to lead the technical team and help navigate through an environment of almost limitless opportunities. You’ll also be helping to deliver 2 data trusts, both world firsts, that will help to transform the industry. We have a bold vision, with strong social values.
Job Role
We are looking for a Data Analyst who has an aspiration to work with Projecting Success to develop new capabilities and ways of working within Project Delivery organisations. We are currently working on some exciting projects for government agencies, private project owners and major contractors which have the potential to change how projects are delivered. You will sit in the technical team and work alongside others on consultancy work, as well as on the data trusts and internal projects.
Person Specification
The preferred candidate will have worked previously as a data analyst or a data scientist for at least 1 year. They will have a degree in a quantitative subject (maths / computer science / engineering etc) or have equivalent experience from a previous role. This a varied and exciting role, and you will have experience in the following areas:
- Diagnostic & Descriptive Analytics
- Data Visualisation
- Exploratory Data Analysis
- Statistics
- Power BI
- Python
This is a remote role with occasional travel for Project:Hack and workshops with clients. If you have experience working with project related data sets this would be a big plus.
The core responsibilities of this role include:
- Development of data analytics insights and solutions to develop new capabilities and ways of working within the Project Data Analytics industry.
- Delivery of consultancy services to clients, likely to include both workshops and development of insights and analytics.
- Interpret complex data sets using statistical techniques and present your findings back to a variety of stakeholders.
- Maintaining an awareness of developments across the industry, and any new tools and technologies in your areas of specialisation.
You will have the following underpinning skills, attitudes, and behaviours:
- Logical thinker with a thorough and organised approach
- Strong analytical and problem-solving skills
- Ability to work independently and remotely, taking responsibility for your own work
- A self-starter who is disciplined and able to work to tight deadlines
- Ability to communicate effectively in a variety of situations, and work with a range of internal and external stakeholders
- Maintain a productive and secure working environment
Company Benefits
- Up to 34 days annual leave
- Potential for share options
- Bonus, based on individual and company performance
- Pension scheme
- Flexible working hours
- Ongoing training
- Development opportunities
Job Types: Full-time, Permanent
Salary: £35,000.00-£45,000.00 per year
Benefits:
- Company pension
- Flexitime
- Work from home
Schedule:
- 8 hour shift
- Flexitime
- Holidays
- Monday to Friday
Supplemental pay types:
- Bonus scheme
Work Location: Remote
