Dânia Meira, Expert in Data and Analytics

From Brazil to Germany

and 10+ years in data.

I moved from Rio de Janeiro to Berlin in 2015 after completing my Masters, and I’ve been helping teams make sense of data ever since.

Having worked closely with both technical specialists and business stakeholders, I know how frustrating data gaps can be for everyone involved.

I build tailored, hands-on workshops that empower teams to analyze data independently, free up tech teams for high-impact projects, and get real results without the technical jargon.

In-person in Berlin · Remote across Europe & Brazil · English & Portuguese

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Analytics Translator and Bridge Builder

 I connect the dots between changing and fast-paced business needs and existing data and tech.

To me, it’s not about the code. What makes sense is creating something that aligns with my stakeholders workflows and gets them to meet their goals.

End-to-End Analytics Ownership

I have proven ability to navigate every stage of the data lifecycle: from initial stakeholder discovery and scope definition to technical execution on tasks of analytics engineering, data visualization, statistics, machine learning, and post-launch enablement.

Data Literacy and Enablement Focus

Just as important as building a data product, I make enablement and usability part of the delivery.

Making sure business users understand what data means and how to use it in daily workflows is a core part of how I work.

What partners and leaders say

“I particularly appreciated the way she helped make communication across teams easier and more effective. She was always willing to help connect people, clarify things when needed, and make sure everyone had the context they needed to work well together.”

— Anibal L. Gonzalez-Oyarce, Sr. Data Scientist

“She’s made really solid progress and meaningful advances on complex, data-engineering-heavy topics." 

— Former Peer Feedback

“She is someone who deeply understands the needs of business when it comes to AI, as well as the technical practicalities of actually building Data Science products. I cannot recommend her enough to those looking for expertise on building and scaling AI in their company.”

— Rachel Berryman, AI, Data & Strategy Lead

“Shows genuine curiosity, meets stakeholders with energy, and leans into complexity to deeply understand the problem and steadily improve the solution.”

— Former Manager Feedback

“Her expertise was considerably profound and helped us come up with a very efficient MVP solution. She is a very reliable, goal-oriented person and an inspiration to the team.”

— Dr. Sebastian Benjamin Rose, Senior Engineering Manager

“Dânia gave me mentoring sessions in data analysis... She guided my progress with advanced techniques while giving great input on overall career strategy. She has a high-level understanding of data science, academia, and the corporate environment.”

— Vitoria Garcia Alvarez, Business Development & Growth Strategy

Companies and partners I’ve worked with

DeepL
Otto Group
CareerFoundry
AI Guild
PPI
Data Science Retreat
Suzano Papel e Celulose

Core Capabilities and Tech Stack

  • Translating revenue goals into automated systems, predictable forecasts, and clear pipeline visibility.

    I help commercial and revenue leaders eliminate spreadsheet overhead, standardizing metrics across Sales, Marketing, and Operations to give leadership a reliable source of truth for decision-making.

    • Core Systems and Focus: Salesforce (SFDC), Everstage, Sales Capacity Planning & Forecasting, Product-Qualified Lead (PQL) Tracking, Pipeline Generation Reporting (PipeGen), GTM Strategy, Agile/Scrum, Cross-Functional Stakeholder Alignment.

  • Building scalable, production-grade data pipelines and analytics products.

    I implement robust models and semantic layers that clean, transform, and model complex company data—ensuring raw metrics are transformed into trustworthy, operational assets.

    • Tools and Stack: SQL, dbt (transformation, metric views, code reviews), Airflow (orchestration), Databricks, Python (pandas, numpy, scikit-learn, statsmodels), Git/GitHub, ClickHouse, Data Lakehouse Architecture.

  • Enabling independent, data-driven decision-making without constant technical hand-holding.

    I create intuitive executive dashboards, reporting frameworks, and self-service BI environments that give business teams instant answers and reduce repetitive ad-hoc requests for technical teams.

    • Tools and Concepts: Dashboards-as-Code, Product Usage & Conversion Analytics, Metabase, Omni, Lightdash, Tableau, Power BI, KPI Frameworks & Data Visualization.

  • Building practical data confidence and capability across business and technical teams.

    With 10+ years of industry experience and extensive teaching background, I design jargon-free corporate training and workshops that help teams interpret data, make faster decisions, and work smoothly with tech partners.

    • Experience: Practical Hands-on Workshops (Data Literacy, Business Analytics, Technical Analytics), Curriculum Design, 1-on-1 Technical Mentorship, Corporate and Academic Lecturing, Analytics Enablement, Documentation, Public Speaking.

See and hear me in action

Dânia on the Main Stage, doing hte welcome speech of #datalift

Want my complete chronological career history, full-time role breakdown, and academic publications?

Download my CV