Senior Analyst, Data Transformation

  • Level 20, Menara Skymind, Jalan Sultan Ahmad Shah, Georgetown, Penang, Malaysia
  • Full-time

Company Description

At Informa Tech, we believe that technology innovation is key to driving positive change in our society. We believe that digital inclusion underpins progress. And we believe that diversity in tech is central to a thriving industry.  


Our aim is to inspire the global technology community to build a better world by informing, educating and connecting them through world-class research, training, events, and media. 


We sit at the heart of the tech community with specialisms in emerging tech/AI, enterprise IT, cyber security, service providers/NextG, critical communications, media & entertainment and marketing technology.  


Leveraging over 100 trusted brands, we offer an unrivalled global networking community and platform for technologists and innovators to be inspired and reach their full potential.
 

Job Description

This is an excellent opportunity for a highly numerate data transformation analyst with strong analytical and project management skills. Working as part of Informa Tech’s Market Data Analytics & Modelling Team (MDAM), the primary role of the Data Transformation Analyst will be to work with subject matter experts to create and maintain databases and forecast models, be an expert in data manipulation, cleaning, enrichment and visualization, alongside forecasting techniques.
 

For this role you will we be expected to:

  • Support and develop the delivery of industry leading data products through the implementation of data transformation processes including the collection, enrichment and visualisation of research data across a range of research practices
  • Support the successful, on-time delivery of high-quality, highly relevant, and differentiated data products that provide foundations for syndicated research projects across sectors and help to construct and implement test plans for new data product features.
  • Focus on continuous improvement through regular solicitation of client and internal feedback.
  • Solve problems by taking a new perspective on existing solutions; exercising judgment based on the analysis of multiple sources of information.
  • Partner with key stakeholders for the continuing evolution and refinement of data workflow processes and methodologies including data auditing to optimize quality, timeliness, efficiency, and cost effectiveness of research execution and delivery.

Qualifications

Key Skills and Competencies

Essential

Strong academic background in a relevant field (e.g. Economics, Mathematics, Statistics, Computer Science, Engineering)

Proficient in building and maintaining multi-layered Excel models (using Data Models, Power Pivot, Power Query and VBA) 

Highly numerate, with the ability to identify and present complex concepts, trends and data in a compelling visual manner

Experience in working with large datasets with one or more of the following: R, Python, Excel/VBA, SQL, Alteryx

Good data visualisation and reporting experience using Business Information tools ideally with Tableau but others such as Power BI

Comfortable interacting with senior stakeholders across the business 


Desirable

Experience using IBM Planning Analytics, Nintex Promapp, MS Access

Experience with data and product management in a similar environment

Working knowledge of implementing data governance and data taxonomy best practices

Business analysis experience

Additional Information

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't fit all the requirements. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. You could be just what we need!

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Informa is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, citizenship, or other protected characteristics under local law.

Privacy Policy