BlueOptima is on a mission to maximise the economic and social value that software engineering organisations are capable of delivering. Our vision is to become the global reference for the optimisation of the performance of Software Engineering.
Our technology is used by some of the world’s largest organisations, including nine of the world’s top twelve Universal Banks, and a number of large corporates.

We are a global organisation with headquarters in London and additional offices in India, Mexico, and the US. We are made up of 100+ individuals from more than 20 different countries. We promote an open minded environment and encourage our employees to create their own success story in this high-performance environment. 

Location: Bangalore 
Department: Data Engineering

Our ground-breaking technology is built on top of billions of data points that are representative of a developer’s interaction with Source and Task tracking systems. The enormous amount of data BlueOptima processes on a daily level requires specialists to dive into the dataset, identify insights from the data points and device solutions to extend BlueOptima’s product suite.

We are looking for talented data analysts who are critical of data and curious to determine the story it narrates, do not shy away from large datasets and are aptly able to use any and all tools available at their disposal to interrogate the data.
 
A successful candidate will turn data into information, information into insight and insight into product features.

Responsibilities and tasks: 

• Collaborate with the Machine Learning and Data Engineering team to ideate and implement ML and Non-ML based solutions related to our core product offerings e.g. Developer Analytics and Team Lead Dashboard 
• Work with product and business teams like Sales, Customer Success, Marketing and Finance to generate valuable insights from their data, by building functional and actionable  dashboards
• Prepare ad-hoc reports for internal and external clients using business analytics reporting tools 
• Identifying and implementing opportunities for automation, dashboards and reporting to reduce manual effort wherever feasible
• Identify, analyse, and interpret trends or patterns in complex data sets using statistical techniques
• Mine and analyse diverse datasets, draw valid inferences and collaborate with Product team on feature suggestions and development

• Must have a minimum of 2 year of relevant experience (Internships or Work Experience) in Data Science, Data Analytics and Business Intelligence 
• Must have a strong working understanding of SQL, which extends to Query Performance Tuning  and advanced data transformation. Is able to write efficient queries to extract data from very large datasets.
• Must have proficiency in Python for data analysis beyond EDA. Is able to write well-documented and reusable code
• Proficient in use of BI Tools such as Tableau, Grafana, Kibana, Power BI 
• Strong fundamentals in Statistical Analysis, and ability to use R/Python or a similar language for the purpose of analysing data
• Is able to break down problem statements into detailed requirements and carve out solutions
• Shows a willingness to learn and adopt to new tools and technologies

Your career progression: In BlueOptima, we strive to strengthen your skills, widen your scope of work and develop your career fast. For this role, you can expect to become more autonomous and start working on your own individual projects. This will also lead to supporting or managing a specific area of metrics for the business (e.g. revenue metrics) and potentially growth to a mentor or Team Lead position. 

Why join our team?
Culture and Growth:

• Global team with a creative, innovative and welcoming mindset.
• Rapid career growth and opportunity to be an outstanding and visible contributor to the company's success.
• Freedom to create your own success story in a high performance environment.
• Training programs and Personal Development Plans for each employee

Benefits: 

• 32 days of holidays (this includes public and religious holidays)
• Contributions to your Provident Fund which can be matched by the company above the statutory minimum as agreed
• Gratuity payments
• Private Medical Insurance provided by the company (Employee + Spouse + 2 Children + 2 Parents)
• 12 Weeks Paid Paternity Leave, 6 months Maternity leave
• Support with childcare costs (50%)
• Work from Home Equipment allowance
• Flexible Work from Home policy - 2 days home p/w
• Flexible Work from Long Distance - 4 weeks a year
• Sponsored Learning Opportunities
• Team Socials

Stay connected with us on LinkedIn or keep an eye on our career page for future opportunities!