Data Team Lead (18month Contract)

About Argus:

Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets.

Headquartered in London with 1,300 staff, Argus is an independent media organisation with 29 offices in the worlds principal commodity trading hubs.

Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy.

Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders, global growth equity firm General Atlantic and Hg, the specialist software and technology services investor.

Job Purpose:

Due to the continued growth of the business and the importance of the data we use on a daily basis, we are currently looking for a for a data team lead to join our global Data team in Mumbai.

You will work closely with internal clients of the data team to support and maintain R (incl. R Shiny), Excel and database-based processes for gathering data, calculating prices and producing the reports and data feeds. The work also involves writing robust automated processes in R.

The team supports Argus’ key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 11pm to 8pm with each member of the team participating 2/3 times a week.

Key Responsibilities:

• Create an inspiring team environment with an open communication culture
• Delegate tasks and set deadlines
• Oversee day-to-day operation
• Monitor team performance and report on metrics
• Motivate team members
• Discover training needs and provide coaching
• Listen to team members’ feedback and resolve any issues or conflicts
• Recognize high performance and reward accomplishments
• Project management
• Support and development of data processing systems
• Data and systems support to Argus’ staff
• Support and training of junior team members
• Maintenance and development of existing systems

Required Skills and Experience:

• Proven work experience as a team leader or supervisor
• Excellent communication and leadership skills
• Organizational and time-management skills
• Decision-making skills
• Significant recent experience of developing tools using R (incl., R Shiny applications) in a commercial (work) environment.
• Good knowledge and experience of SQL, preferably in Oracle or MySQL, including stored procedures, functions and triggers.
• Experience with version control systems (e.g., Git) and Unit Testing in R is required.
• Ability to work both as part of a team and autonomously
• Excellent communication skills
• At least 2 years’ experience in a similar role and at least 5 years’ experience overall

Desired Skills and Experience:

• BS degree in Computer Science, Mathematics, Business, Engineering or related field.
• Experience in visualisation techniques is desirable.
• Any experience working with energy markets and commodities data is highly desirable
• Experience developing production-grade scalable applications in R.

Personal Attributes:

• Ability to interact with non-technical people in plain language
• Innovative thinker with good problem-solving abilities and attention to detail
• Numerically proficient
• Self-motivated with ability to work independently, prioritising tasks to meet deadlines
• Customer service focused

Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.

Benefits:

• Competitive salary
• Flexible Working Policy
• Group healthcare scheme
• 18 days annual leave
• 8 days casual leave
• Extensive internal and external training