Senior Analyst

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 fist 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.

RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.