Business Translator at I&M Bank

PURPOSE:

Act as a link between core analytics team and business team. Responsible for getting together a team of experts, setting requirements, and establishing communications between business team and analytics team. The position will also be responsible for identifying scenarios where analytics can add value and proposing general approaches to do so. Building work plans that incorporate the challenges and specifics of analytical projects as well as synthesizing complex analytics-driven insights into easy-to-understand and actionable recommendations.

PRIMARY RESPONSIBILITIES:

The Incumbent will report to Analytics Lead and will be responsible for:

• Driving and executing analytics roadmap
• Defining the business problem to be solved in an analytical language
• Leveraging known use cases and ‘the art of the possible’ to define the work plan
• Confirming the applicability incl. feasibility and expected impact with experts of use cases before launching the effort
• Finding a business sponsor before starting the use case execution
• Defining the data requirements needed to execute all of the relevant modelling techniques
• Developing and scaling Analytics technology stack and data availability for modelling
• Engaging the organisation beyond the analytics roadmap on broader analytics initiatives in the bank, e.g. HR Analytics
• Proactively flagging challenges, risks, and blockers to project leadership/project sponsor.

This is your dream job if you have:

• Experience working in a data-centric business environment (3 years +)
• Project management experience with exposure to the top management is highly desirable
• Analytical experience and/or academic background is highly desirable, for example in big data analytics, machine learning, or artificial intelligence
• Experience in visualization tools (e.g., Tableau, PowerBI)
• Experience in working in an agile team environment
• Experience in working effectively with people at all levels in an large organization
• You need to have:
• Knowledge of statistical techniques, data mining, machine learning (log regression, decision trees, clustering, random forests, generalized linear models, etc.) – no deep specific expertise in each is required, but overview of the existing techniques is needed.
• Knowledge of R/Python is a plus.
• Experience in coding is beneficial.

We’d love you in our team if you possess:

• Professional attitude, independent, trustworthy and charismatic with absolute integrity
• Good measure of creativity, social competence and ability to work in a team
•  Entrepreneurial and a “can do attitude”
• High energy levels, stress resistance and cultural openness will be therefore highly valued
• Strong communication skills in dealing with project leadership, key clients stakeholders, business partners and teams
• Skills to communicate complex ideas and results effectively
• Strong multi-tasking abilities, flexibility, and patience in a fluid environment
• Attitude to thrive in a fun, fast-paced start-up like environment

QUALIFICATION:

• Degree in quantitative field like Statistics, Computer Science, Engineering, Mathematics, Physics or related field is highly desirable
• Degree in Economics, Business or related field is also a plus.