Concentrix has a central structure for enabling decentralised operations of analytics across multiple processes. On the back of a strong analytics team, the company strongly focuses on optimal value realisation for clients and stakeholders in analytics initiatives.
We got in touch with Hari Saravanabhavan, Vice President – Global Analytics at Concentrix, to understand their analytics and data science team’s hiring process.
As Hari shares, the data scientist’s intake into the organisation can be segmented into multiple competencies or backgrounds, such as:
- Technology Skills like Data Management, Reporting, Data Engineering, Cloud
- Techniques like Mathematics, Statistics, Economics
- Domain Skills like CX, Marketing, Collections, Revenue management, IT services
- Industry Skills like Health care, E-commerce, Banking, Industry, Communications/ Technology
- Analytics Consulting skills like Business Value Management, Narrative Sciences, Analytics Storytelling
“The individual data scientist may have one or more skills depending on the level of experience, type of role and background qualification,” he said. In fact, data science candidates have multiple career paths to choose from — such as technology career path, client partner or account management career path or a pure-play analytics career path that an employee can choose to pursue. The skills for each of these may differ depending on the role, he added.
In terms of educational background, Hari said, while data science is a combination of skills, the typical academic background we prefer includes advanced degrees (Masters/PhD) in quantitative sciences, technology, and business management.
Hari said Concentrix considers both academic knowledge and work experience while hiring. “Academic background helps with the foundation and concepts whereas the job skills are important for practical application and understanding,” he observed.
Hari said the data science interview process at Concentrix is an assessment of multiple competencies — technical skills, technology understanding and business perspective for the role being hired for.
While the recruitment process and the common interview questions asked during data science recruitment is a confidential process, Hari shared that the process is well designed to recruit the best talent in the industry. The process is periodically tested to ensure optimal outcomes from the process.
Shedding light on some of the traditional and non-traditional ways of sourcing data scientists at Concentrix, Hari said that sourcing happens through multiple routes like partner channels, direct to employee, hackathons, new hires from college and internships.
There are multiple ways to apply for a role at Concentrix, such as social media links, partner networks, hackathons and job fairs the company conducts or participates in and also through traditional hiring channels.
Hari said the biggest challenge the industry faces is the demand-supply gap. The pace of new development in analytics and data sciences is exponential and hence linear ways of keeping up will not suffice. “We at Concentrix have recognised this and have our innovative internal ways to address these industry-level issues and challenges,” he said.
Further, Hari said data science is a broad competency area and requires multiple skills as part of the competency, viz technology, domain, industry, to name a few. Therefore, organisations hiring for data science professionals must be completely aware of the dominant skill needed for a role and skills that they require. “Typically, organisations tend to go wrong by expecting candidates to have all the skill sets at high levels of expertise at the same time, which may not be feasible,” he added.
Concentrix follows the principle down to a T, selecting candidates based on dominant skill sets while teaching secondary and tertiary skill sets during the job. “As an outcome, we have been successful in ensuring hiring the right talent to have a successful career in the organisation,” said Hari.
Hari believes that analytics is a dynamic industry. For professionals looking to start a career in this industry, Hari has the following advice:
- Never stop learning
- Build a dominant skillset. This could be technology, techniques or analytics consulting. An expert/lead position in at least one of them is critical for success.
- Following this checklist