Principal Data Analyst - Product Analytics

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.

For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments.

Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected.

By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.

This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.

Wood Mackenzie  Intelligence Connected
** Wood Mackenzie Values
** Wood Mackenzie is looking for a dynamic, detail oriented and experienced data analyst to work as a Principal Analyst in our Product Analytics team. The team provides data on customer usage of our products which is fundamental to ongoing product development and commercial negotiations with our customers. We are looking for an analyst with excellent data management skills as well as problem solving, team management and communication skills.

We are a global data analytics company developing advanced platforms for data analysis and visualization, helping our clients make billion-dollar decisions.
** Role

Purpose:

** This role sits within the Woodmac Product team, reporting to the VP of Product Analytics. The successful candidate will be leader and subject matter expert, responsible for evolving our practices and closely supporting Product Owners and Senior Stakeholders with the analysis of customer usage data to support decision making. The role will lead on ensuring we get commercial advantage from our product analytics applications and that we maintain 24/7 coverage of how customers are using our products.
** About the Responsibilities of the Role:
** The role of Principal Analyst, Product Analytics fulfils the following needs:
** Architecture & Technical Implementation
*** Ensure our key analytics application, Amplitude, is instrumented across our range of products to produce reliable, valid data and is working as expected
* Continually review the set up of Amplitude for Wood Mackenzie to ensure this is optimal for current product offerings and is efficient use of Amplitude resources
* Co-ordinate with data architects and engineers to build new, efficient, and effective data processes using current and future data platform tooling and frameworks.
* Understand and contribute to the development of the wider product analytics technical and data architecture within the company.
* Lead the development of processes to streamline product analytics
* Utilise AI where appropriate to enhance the capture, reporting and distribution of usage analytics
* Represent the company within technical forums and vendor interactions as required.
** Strategic Analytics Leadership:
*** Develop a deep understanding of Wood Mackenzie’s products and how to successfully represent analytics on customer usage by critically evaluating what is tracked and how this is reported.
* Develop expert working knowledge in how to maximise commercial benefit from existing analytics applications with specific focus on Amplitude and relevant extracted data into Power

BI and other applications used by Customer Success and Sales
* Proactively foster knowledge sharing across the product community and lead on standardisation of methodology for how usage analytics are reported.
** Commercial Impact & Decision Support:
*** Work with the Product teams to draw insights from product usage data
* Proactively provide reliable usage data to inform product prioritisation decisions made by Product colleagues and senior stakeholders.
* Ensure valid usage data is being used by Customer Success teams to prioritise customer retention…