Global Sales Analytics Analyst: Power BI & AI

WTW group

Lisboa

Hybrid

EUR 42,000 - 62,000

Full time

3 days ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Work-life balance

Hybrid working

Global exposure

Career development

Collaborative culture

Job summary

WTW seeks a Power BI Developer to join our global analytics team. You will design and maintain Power BI dashboards, translate business data needs into technical requirements, and collaborate with sales and marketing to deliver actionable insights.

Expertise in DAX, Power Query, and Dynamics will support data-driven decision making across regions. You will work in a role that leverages AI and advanced data techniques to improve forecasting and reporting, with hybrid options in Lisbon or Manila

Qualifications

Proven experience as a Power BI Developer or in a similar role.
Strong proficiency in Power BI, including DAX and Power Query.
Understanding of CRM systems and data lakes.
Strong project management and analytical skills.
Proactive thinking and technical savviness.
Ability to coordinate teams across businesses and internal stakeholders.
Team-oriented and collaborative.
Broad understanding of WTW capabilities and expertise.
Project management skills.
Experience with Microsoft Dynamics, Power BI, Purview, Power Query/Excel.

Responsibilities

Partner with businesses as a global analyst with Power BI, excel power query, financial acumen skills.
Develop, design, and maintain Power BI dashboards and reports to provide actionable sales insights.
Collaborate with sales and marketing teams to understand data needs and translate into technical requirements.
Utilize Microsoft tools, particularly above-average expertise in Microsoft Dynamics, Power BI, Power query/excel.
Identify data inaccuracies and raise issues, coordinating with stakeholders to manage queries.
Cleansing large data sets and mapping requirements using internal data sources.
Ensure data accuracy and integrity with regular validation and quality checks.
Understand data model application to business and geography.
PM changes in data models and suggest improvements for communicating analytics.
Track analytics data architecture requests and identified bugs with technology teams.
Ensure rapid bug resolution and root-cause analysis, monitor issues.
Oversee enhancement roadmap with delivery timelines and impact on reporting.