BlueOptima’s vision is to become the global reference for the optimisation of the performance of Software Engineers across all industries. We provide industry-leading objective metrics in software development. We enable large organisations to deliver better software, faster and at lower cost, with technology that pushes the limits of what has been done before. 

We are a global company which has consistently doubled in headcount and revenue YoY, with no external investment. We currently are located in 4 countries: London (our HQ), Mexico, India and the US. A total number of 180+ employees (and increasing every day) from 22 different nationalities and with over 25 languages spoken.

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 the disposal to interrogate the data.

A successful candidate will turn data into information, information into insight and insight into product features.
 

Responsibilities and tasks: 

• Acquire data from primary or secondary data sources and maintain data systems and pipelines

• Identify, analyse, and interpret trends or patterns in complex data sets using statistical techniques

• Implement automation, dashboards and reporting to reduce manual review of raw data to minimum required

• Collaborate with the MLDE team to complement the Model generation and performance tracking by bringing in insights in form of statistical analysis

• Work with product and business teams to identify important questions and help them answer these with data

• Mine and analyse large datasets, draw valid inferences and collaborate with Product team on feature suggestions and development

• Prepare reports for internal and external audiences using business analytics reporting tools to showcase product strengths and use cases

• A minimum of 1 year of relevant experience (Internships or Work Experience) in Data Science, Data Analytics and Business Intelligence is beneficial

• Proficient in using Python for data analysis. Being able to write code beyond Jupiter notebook, which is well documented and reusable code

• Proficient in use of BI Tools like, Tableau, Grafana, Kibana, etc

• Strong understanding of SQL semantics and ability to write efficient queries to extract data from large datasets.

• Strong fundamentals in Statistical Analysis, and ability to use R/Python or a similar language for the purpose of analysing data

• Can-do attitude and does not shy away from manual review of datasets where required

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
• Private Medical Insurance provided by the company (Extended to employee + Spouse + 2 Children + 2 Parents)
• Gratuity payments
• Claim Mobile/Internet expenses and Professional Development costs
• Leave Travel Allowance
• 12 Weeks Paid Maternity and Paternity Leave
• Flexible Work from Home policy - 2 days home p/w
• Flexible Work from Long Distance - 4 weeks a year
• Free drinks and snacks in the office 
• International travel opportunities
• Global annual meet up (most recent meetups have been held in Cancun and India)
• High quality equipment (Ergonomic chairs and 32’ screens)

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