Data Engineer
Reads like an Analyst role: dashboards and reporting.
Remote, Brazil
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- Pay
- Pay not listed
- Work setting
Remote stated — work setting source
Listed location: Remote, Brazil
Work setup in the employer’s listing: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingBuild predictive and forecasting models for revenue and marketing
Lead analytics and modeling projects end-to-end with clear recommendations
Design and maintain interactive dashboards and reports tied to KPIs
Develop scalable data tools for transforming, managing and accessing data
Present findings and options with trade-offs to senior leadership
From the employer’s posting
Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences.
Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations.
Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs).
Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed
Present findings and recommendations to senior leadership, including options and trade-offs.
Tools in this posting
- Python
- SQL
- BigQuery
- Power BI
- Redshift
- Snowflake
- Tableau
Source — Tool mentions in context
What You Bring? Must-Have Qualifications - 4–5 years of experience using SQL for data extraction and transformation, and Python for advanced analytics, automation, or modeling. - Hands-on experience with forecasting and predictive modeling to support strategic decision-making.
- Hands-on experience with forecasting and predictive modeling to support strategic decision-making. - Experience working with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery. - Strong understanding of data modeling concepts, including star and snowflake schemas, and normalized vs. denormalized designs.
- Strong understanding of data modeling concepts, including star and snowflake schemas, and normalized vs. denormalized designs. - Advanced proficiency with BI and visualization tools such as Power BI or Tableau, including best practices for data storytelling. - Proven ability to lead analytics projects end-to-end—from business requirements through analysis, insights, and executive recommendations.
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Sep 17, 2026 · 35 days ago
- Recorded sightings
- 101
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Location
Why You Should Join Us?
What You’ll Do?
- Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed—reducing time to insight.
- Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences.
- Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations.
- Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs).
- Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively.
- Partner with business teams to support operational improvements and growth initiatives, defining measurable outcomes.
- Prepare both executive-level summaries and detailed analytical reports, including clear written insights and visual storytelling.
- Present findings and recommendations to senior leadership, including options and trade-offs.
- Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles.
- Contribute to additional analytics initiatives as business needs evolve.
What You Bring? Must-Have Qualifications
- 4–5 years of experience using SQL for data extraction and transformation, and Python for advanced analytics, automation, or modeling.
- Hands-on experience with forecasting and predictive modeling to support strategic decision-making.
- Experience working with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
- Strong understanding of data modeling concepts, including star and snowflake schemas, and normalized vs. denormalized designs.
- Advanced proficiency with BI and visualization tools such as Power BI or Tableau, including best practices for data storytelling.
- Proven ability to lead analytics projects end-to-end—from business requirements through analysis, insights, and executive recommendations.
- Experience delivering measurable business impact through analytics, reporting, revenue operations, or related roles.
- Excellent communication skills, with the ability to translate complex analyses into clear, actionable insights for senior stakeholders.
Nice-to-Have
- Experience working with CRM platforms such as Salesforce.
- Familiarity with automated data pipelines or reporting automation.
- Experience supporting executive or board-level reporting.
What You’ll Get
- The opportunity to work closely with senior leadership and influence strategic decisions.
- Exposure to high-impact, cross-functional analytics initiatives.
- A collaborative, fast-paced environment that values curiosity, ownership, and continuous learning.
- Opportunities to grow your technical, business, and leadership skills.
- Competitive compensation and benefits package (details shared during the interview process).
- Flexibility to support work-life balance, in line with company policy.
Our Commitment to Inclusion
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote, Brazil
Location Remote - Candidates must be currently based in Brazil. Documentation to verify location and work eligibility will be requested during the hiring process. Why You Should Join Us?
More source context
#LI-NL1 #LI-Remote
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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