Senior Analyst - Marketing Analytics

About the role :

The Senior Analyst, Marketing Analytics is a data specialist on Global Digital Marketing Analytics team, responsible for building and maintaining trustworthy, well-structured datasets and dashboards behind the team's marketing reporting. The focus is reliable data correctly sourced, assembled, and validated - and reports the team can trust.

This is a role for someone who works with data fluently and independently : able to take a reporting goal, determine what data it requires, and shape it into a sound dataset and a clear dashboard. It suits someone who takes ownership of quality - checking for completeness, confirming data is merged correctly, validating against source systems, and catching problems before they reach a report.

It is also a role for someone who wants to work smarter, more efficiently. We expect this person to bring AI into how they workday to day - using it to speed up data preparation, validation, and dashboard development - and to continuously look for opportunities to automate repetitive work, so the team's reporting runs faster and more reliably.

What you'll do :

Data Sourcing & Preparation :

- Determine the data required for reporting purposes, identifying the right sources and the appropriate fields to meet them.

- Build and prototype datasets structured for clean, efficient consumption in the reporting platform.

- Combine data across multiple sources, ensuring it is merged and transformed correctly for the intended use.

Quality & Validation :

- Validate data for completeness and accuracy throughout the workflow and against source systems.

- Own data quality as a standard, building checks into the process and serving as the quality backstop the team relies on.

- Investigate and resolve discrepancies, recognizing when results do not hold up and tracing them to their source.

Reporting & Dashboards :

- Build, prototype, and maintain dashboards and BI products in the team's reporting platform.

- Keep BI products accurate, current, and reliable over time, refining outputs as needs evolve.

- Develop and maintain documentation for datasets, dashboards, and data processes, keeping it clear and current.

- Handle ad-hoc data pulls and requests, turning them around with accuracy and appropriate context.

- Coordinate with the broader BI and insights teams so datasets and dashboards support how reporting and interpretation are used.

AI & Automation :

- Bring AI into day-to-day data preparation, validation, and dashboard work to improve speed and reliability.

- Identify and automate repetitive data and reporting tasks, reducing manual effort and the risk of error.

- Experiment with new AI tools and approaches, adopting them where they raise the quality or efficiency of the team's work.

What you'll need :

- 3-5 years of experience working hands-on with data analysis and reporting; experience in marketing analytics or digital analytics a plus.

- Strong data preparation and transformation skills, with the ability to source, combine, and shape data from multiple systems into clean, reliable datasets.

- Proficiency in SQL for querying, combining, and transforming data; Python a plus.

- Strong, hands-on skills building dashboards and BI products in Power BI; Data Studio (Looker) experience a plus.

- Comfort using and experimenting with AI tools, and an interest in applying them to automate and improve data and reporting work.

- Familiarity with the digital marketing stack a plus (e.g., Google Analytics, Google Tag Manager, Customer Data Platform).

- Strong attention to detail and a sense of ownership over the accuracy of what the team produces.

- Bachelor's degree in a quantitative, business, or related field.

(ref:hirist.tech)