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BI Analytics Engineer (338)

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Advanced/fluent English skills, Bachelor's Degree in Relevant Field, +5 years experience in BI role, Expertise in data visualization tools, Experience with Snowflake or data warehousing.

Key responsabilities:

  • Lead transformation of the analytics ecosystem
  • Manage large datasets using Snowflake
  • Perform custom data analysis for insights
  • Design and develop scalable data models
  • Gather, cleanse, verify, and present data
Ubiminds: You, International. logo
Ubiminds: You, International. Scaleup https://www.ubiminds.com/
51 - 200 Employees
See more Ubiminds: You, International. offers

Job description

Want to get to the next step in your international career?
We can support you!
Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their development footprint. Ubi custom-curates Brazilian top 5% talent for their LATAM strategy, offering a unique combo of staff augmentation and employer-of-record services.

Ubiminds is assisting a company that is transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, end-to-end hiring platform features video interviewing, assessments, and conversational AI. As an industry leader in science-backed, modern hiring solutions powered by ethical AI, they has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1,200 pioneering customers around the globe.

Challenge
We are seeking a Business Intelligence Analytics Engineer to transform raw data into actionable insights, supporting data-driven decision-making for both internal and external stakeholders. The ideal candidate will excel in data profiling, cleansing, and scalable data modeling, delivering clear, concise insights that inform strategic business decisions and help customers understand performance metrics. This role involves building data models and providing tailored business insights, serving both internal and external data needs.

The position requires the necessary knowledge, skills, and abilities to perform its duties successfully, with reasonable accommodation as needed.
What you'll do
- Lead the transformation and scaling of the analytics ecosystem, driving growth and strategy.
- Use Snowflake for data warehousing and manage large datasets for transformation and analysis.
- Perform custom data analysis to provide insights and support business decisions for internal and customer requests.
- Collaborate with business teams to understand requirements and offer data-driven suggestions to meet underlying needs.
- Deliver key insights to support enterprise decisions through data-driven approaches.
- Gather, cleanse, verify, and present data in digestible and impactful formats.
- Write, optimize, and maintain complex SQL queries to extract, analyze, and manipulate data from various sources within the Snowflake Data Platform.
- Implement data transformation workflows using tools like Matillion, dbt, or other ETL tools to ensure data quality and structure.
- Develop, monitor, and troubleshoot data pipelines to ensure timely and accurate data flows across systems.
- Design and develop scalable, reusable data models for consistent and efficient reporting and analytics.
- Perform root cause analysis to resolve issues or improve processes.
- Balance multiple priorities effectively.
- Partner with other analysts across the company to leverage existing insights and documentation.
- Design, build, and maintain business process and data documentation.

In order to succeed in this position, you will need:

Mandatory skills
- Advanced/fluent English skills – Excellent written and verbal communication skills.
- Bachelor's Degree in a Relevant Field: Computer Science, Data Science, Statistics, Information Systems, etc
- +5 years experience in a BI role providing data analytics and business insights
- Proven strength in systems and process scaling
- Expertise with data visualization methodology and tools (e.g. Tableau).
- Expertise with data querying and analysis languages and tools (e.g. SQL, Python, R).
- Experience in Data Warehousing: Hands-on experience with Snowflake or similar cloud-based data
warehouses.
- Experience in Data Transformation: Experience using Matillion, dbt, or other ETL/ELT tools to transform
and prepare data for analysis.
- Expertise with descriptive as well as predictive analytics.
- Excellent presentation and design skills, specifically written and verbal communication to an executive audience


About Ubiminds

Cultural fit
- People First. We are all about people!
- Challenge yourself. There’s always room for improvement and continuous improvement is in our essence.
- Make it happen. Be ready to take challenges as they come. It’s all about attitude and commitment. 
- We’re in this together. We work as a team, we thrive as a team and we evolve as a team.
- Averaging on awesome. We work hard to deliver high-quality services and look forward to exceeding expectations. 
- Keep it real. We promise you honesty, transparency, and openness, regardless of the situation.

Perks and Benefits

As a BI Analytics Engineer @Ubiminds, you:
- Are placed in a product-based company, with the same treatment as their full-time employees;
- Have our full back-office support, from career guidance to HR and concierge services;
- Enjoy our remote-first policy - we are a distributed team, after all;
- Get your own MacBook (none of that "bring your own device" stuff here);
- Have access to growth opportunities with other amazing technology professionals, through tech talks, chapter meetings, and even remote happy hours for tons of fun!
- Improve your English through free lessons with a native English speaker - get to the next level of your communication skills!
- Candidate Referral bonus (promote Ubi to your tech friends, and get paid for it!);
- Miss working in the office? Our cool Florianópolis headquarters is available, whenever you want, with weekly quick massages & tasty snacks, soft drinks, and games.

How our process works
1. An initial interview with the Tech Recruiter (specific chat about the job opening);
2. Client process (this may vary);
3. Offer.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving
  • Verbal Communication Skills

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