LinkedIn

Internet

Registeryourinterest:DataInsights-TechSrAssociate

$185–280k ~AI est. São Paulo, São Paulo, Brazil FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Register your interest: Data Insights - Tech Sr Associate at LinkedIn. Skills: Power BI development, Data visualization, Data modeling. Design and deliver dashboards. Design reports”

What You'll Achieve.

Deliver high-impact solutions

Industry & Context.

Internet
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

4+ years working with data, 4+ years of experience in business requirements gathering, 4+ years of experience with a BI tool, Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Physics, Economics, Business Information Technology or related field, 2+ years of experience working with data systems or tools in a business setting, Fluency in English, Fluency in Portuguese

Nice to Have

Experience supporting Sales organizations, Hands-on experience with semantic layer architecture, Hands-on experience with data modeling best practices, Hands-on experience collaborating across modeling and visualization teams, Experience across the full solution lifecycle, Familiarity with complementary Microsoft technologies

What You'll Do.

Design and deliver dashboards

Apply visualization best practices

Apply design standards

Apply data modeling principles

Develop semantic layer components

Maintain semantic layer components

Create visual stories

Collaborate with teammates

Align on semantic layer requirements

Align on report performance

Align on solution quality

Troubleshoot BI stack issues

Troubleshoot visualization performance

Troubleshoot data model inefficiencies

Troubleshoot user adoption challenges

Troubleshoot report accuracy concerns

Partner with business stakeholders

Understand analytical needs

Stay current with Power BI updates

Stay current with industry trends

Stay current with emerging techniques

How You'll Work.

Team & Collaboration

Visualization teammates; Data modeling teammates; Business stakeholders

Communication Scope

Data storytelling

Full Job Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in São Paulo. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for a senior Power BI developer with strong expertise in either data visualization or data modeling — or a hybrid of both — to help build scalable, insight-driven BI solutions that drive business decisions. Candidates should possess solid knowledge of dashboard design and storytelling, data modeling best practices, or both, as well as a proven ability to translate complex business requirements into clear, actionable reporting. Experience with DAX, data model architecture, visualization design, or user experience are all valued, and the ideal candidate brings the depth to excel in at least one of these disciplines. Above all, we are looking for skilled collaborators who can bridge stakeholder needs with data capabilities to deliver high-impact solutions in a fast-paced, team-oriented environment. What You’ll Do: * Design and deliver dashboards, reports, and data models in Power BI that drive business decisions across the organization. * Apply visualization best practices, design standards, and/or data modeling principles to ensure high-quality, scalab

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