Job Purpose
The Senior BI and Data Product Analyst sits at the intersection of business strategy, data engineering and analytics. In this role, you will play a key role in transforming enterprise data into high-value, governed data products and delivering high-quality business intelligence to RWS's external and internal customers.
You will translate complex business needs into robust technical requirements, design scalable semantic layers that empower self-service and ensure our data assets are high-quality, secure and ready to power downstream analytics and machine learning models. Operating with a high degree of autonomy, you will manage core data domains and partner with senior product leadership to execute our global data strategies.
About Product & Technology
Product & Technology plays a pivotal role in aligning the organization with its strategic objectives and enhancing shareholder value. Product & Technology is responsible for establishing unified standards and governance practices throughout the company. Additionally, we oversee the development and maintenance of core applications essential for the seamless operation of various functions across the organization. We are committed to driving and executing future roadmaps that are in line with the overall strategic direction of RWS.
With a global reach, Product & Technology provides support services to over 7500 end users worldwide. We take pride in managing the information security operation and safeguarding all our assets. Our core functions encompass Enterprise & Technical Architecture, Network & Voice, Infrastructure, Service Delivery, Service Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, Enterprise Platforms. With a dedicated team of over 500 staff, Product & Technology ensures a strong presence across all regions, enabling efficient and effective support to our global operations.
Key Responsibilities
•Treat specific data domains as products—establishing their value propositions, defining target user personas (analysts, data scientists, business leaders) and managing their development lifecycles.
•Build strong stakeholder relationships to understand business challenges, gather requirements, document user stories and maintain a prioritized, iterative product backlog.
•Act as a key translator and facilitator between Data Engineering teams and business domain experts, transforming complex business queries into clear, deliverable technical specifications.
•Design, develop and maintain high-performing dashboards and reports (using Power BI, Looker, or equivalent). Create and optimize semantic layers and curated datasets (e.g., Looker/LookML, BigQuery) to enable robust self-service across business teams.
•Write efficient, optimized and complex SQL queries for calculated measures, aggregations, data validation and query performance tuning.
•Partner with data engineering teams to monitor data processing and storage costs, driving optimization efforts within your product area.
•Contribute to data governance efforts to ensure accuracy, consistency, security and compliance across all reporting assets and data products.
•Author and curate high-quality documentation, data catalogues and user guides. Track and report on usage metrics and adoption rates to measure the health and ROI of data products.
Skills & Experience
•A strong instinct for interrogating complex datasets from multiple sources to develop hypotheses and actionable business insights.
•Strong understanding of product management principles (roadmapping, user stories, backlog prioritization and KPI tracking) applied to data assets.
•Practical, hands-on working knowledge of Google Cloud Platform (GCP) data services, specifically BigQuery and Cloud Storage.
•Advanced proficiency in writing, optimizing and debugging complex SQL queries for data extraction and prototyping.
•Advanced proficiency in modern business intelligence platforms.
•Proven capability to operate independently under broad supervision, identify root causes of data or systems issues and drive tasks to successful completion.
•Ability to work collaboratively in a global, fast-paced team environment, promoting a shared culture of data ownership.
•Fluent, highly articulate English communication skills, with the confidence to present technical concepts clearly to both non-technical stakeholders and senior leadership.
Life at RWS
If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood, then you'll love life at RWS.
Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career.
In return, we expect all our people to live by the values that unite us: to partner, putting clients first and winning together, to pioneer, innovating fearlessly and leading with vision and courage, to progress, aiming high and growing through actions and to deliver, owning the outcome and building trust with our colleagues and clients.
