Analytics Engineer at WPP Production in Dhaka, Bangladesh

As a Senior Data Analyst, you will play a critical role in delivering outstanding work for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts.

Key Responsibilities

Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming

• Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project.
• Analyse all datasets to ensure that each KPI is understood and can be explained back to the team.
• Ensure that all tables, charts and other information produced by you, or others has been checked for accuracy and formatted to GT standards before passing on to senior project team.
• Be responsible for data collection including preparation and sending of data requests, chasing outstanding data and querying data with clients and agencies.
• Ensure that ROVA input file is structured to meet requirements of project (e.g. order and number of variables, exclusion of unnecessary variables).
• Ensure that all outputs are checked for accuracy by analysts; record any checks made.
• Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools / approaches.

Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation

• Building of base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables entered, understanding coefficients and SFX.
• Taking base models, oversee or build in additional improvements and progress the model towards finalisation.
• Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary findings and observations
• Create sales effect/ ROI workbook, ensure it is easy to follow and all links are correct.
• Create response curves and optimisation spreadsheets or alternatively use available tools for budget allocation. Run scenarios required to answer client objectives.
• Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity.

Interpretation of results: result interpretation and rationale, recommendations, translation of results from analytics into actionable recommendations

• Provide input into the results and implications and comment on the interpretation for future strategies.
• Interpret results and understand the implications of these results to the client. Be able to explain your interpretation to the team and defend your POV
• Be able to explain and justify any potential changes that need to be made to provide sensible results. Especially important when reviewing others’ outputs that you are overseeing.

Requirements

• 2 to 4 years experience and background in similar field. Focus is data and analytics with econometrics.
• You are highly proficient with technology, software and can demonstrate quick grasp of programming languages.
• You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.)
• You can work within an inclusive and diverse team to deliver fresh thinking and innovative solutions.
• You interact with colleagues and with our clients in a way that strengthens our culture of inclusivity, diversity, care, growth and recognition.
• You have an interest in using data and analytics to make better decisions.
• You are tenacious, hardworking, curious and have a strong ability to communicate.
• You demonstrate a positive desire and strong aptitude for making data informed decisions.
• You can demonstrate good problem-solving skills and understanding of consumer behaviour.
• You have the capacity to work and learn quickly in a fast-paced environment.
• You take keen interest in your own learning and development.

Key Characteristics

A successful candidate must be able to demonstrate evidence of a high degree curiosity and investigation into why things work in a particular way. This might include desk research on a particular topic or deep focus on a recent client assignment. If selected for interview, candidate must be prepared to talk on a particular topic within the realms of analytics or business questions that we typically answer that they are passionate about. Examples might be “Why is my base my base?”, “What is the long-term effect of my marketing and why?”, “Dealing with uncertainty and building in foresight”, etc

Soft Skills

• It would be of an advantage for the candidate to have experience of working/ communicating with international clients/stakeholders directly and they must have strong verbal and written communication skills in English.
• Strong organisational skills with the ability to prioritise and manage workload independently
• Open, collaborative communicator who actively supports teammates
• Self-motivated with a proactive approach to developing creative and technical skills
• Comfortable working in a fast-paced, deadline-driven environment

This is an onsite role, and candidates should be comfortable working across different shifts as needed.