Founded in 2006, BlueOptima is the only company providing objective software development productivity metrics. The technology has been implemented by some of the world’s largest organisations including insurance companies, telecoms and nine of the world’s top twelve Universal Banks. This successful product uptake has led to rapid expansion of the company, which since commercialising in 2014, has doubled its revenue and head-count year upon year, with no signs of stopping!
BlueOptima is a profitable, high-growth independent software company with six global locations (HQ in London and 5 additional offices in India, Mexico and the US) and is an Equal Opportunities employer.
Our distinctive technology was initially devised in seminal research carried out at Cambridge University, and we now have enabled some of the largest and most successful organisations in the world to deliver better software, faster and at a lower cost. Our technology is pushing the limits of complex analytics on large data-sets with more than 15 billion static source code metric observations of software engineers working in an Enterprise software development environment.
By putting the customer first, we have since developed three new ground-breaking products to help our client base get the best out of their software through understanding the efficiency of their software development teams.
We are looking for analytical individuals with expertise in statistical analysis and Business Intelligence. You will join our growing consultancy team to provide statistical analysis and reports for our clients.
The role includes comprehensive training and development. You can expect to be doing a mix of client projects and internal initiatives as well as working closely with the sales team to identify opportunities to deliver value to our customers.
Identify customer’s needs and propose relevant solution in a consultative approach
Produce reports based on BlueOptima Coding Effort data and explain the insight they reveal to senior managers to support decision-making
Create / maintain BI dashboards
Perform data quality checks
Evangelize BlueOptima and its metrics with customers
Share feature or improvement suggestions with the product team
Master’s degree in Statistical/Analytical/Mathematical Degree or equivalent expertise in an analytical role
Professional work experience is a plus
Language Skills - R , Python, SQL
Analytical Tools - Excel, Tableau, Grafana
Strong fundamentals in Statistical Analysis with Python or similar programming experience
Project management and process design knowledge preferred
Understanding of Software Development LifeCycle (SDLC) methodologies, for e.g. V-cycle, Waterfall and Agile
Familiarity with version control systems (GitHub/ BitBucket) and task tracking systems (Jira/ TFS) would be a plus
Why Work For Us?
Our product is unique within the market and, even with the impact of the Coronavirus pandemic, we have still maintained rapid growth within the company. With a large focus on learning and development, we want you to grow alongside us as we strive to be one of the most innovative global SaaS scale-ups today. The future is looking bright!
Rapid growth and development
Support for extra learning and development courses
Work alongside like minded, passionate individuals
Stimulating challenges where 2 days are never the same
New, modern offices based in London
Free coffee, tea, snacks and more
Our recruitment process comprises of four stages to practically test candidates’ abilities:
Send us your CV - should you be shortlisted, a member of our Talent Acquisition team will be in contact with you to arrange an initial chat.
Should your skill set and attitude match the requirements of the role, we will arrange a second interview with the Hiring Manager of the role.
The next step involves a work sample, which we allow you a maximum of 7 days to complete. Providing it is to a good standard, we will invite you to discuss the work sample with the hiring manager and another member of the team.
We’d love your feedback!
We'll ask you just three quick questions that should take no longer than a couple of minutes to answer.
Your feedback, whether good or bad, is so appreciated and will help us make the right improvements!