Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com  

We are seeking a to contribute to our next level of growth and expansion.  

We are looking for an experienced Business & Data Analysis Lead to manage requirements sessions with cross-functional teams in Marketing and Engineering, defining analytics needs and identifying data gaps. This role requires excellent analytical, documentation, and communication skills, as it involves acting as the bridge between business and technical stakeholders to ensure high-quality delivery of data and analytics solutions. The position potentially involves working with US clients in PST or stakeholders in India.

You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office!

• Lead requirements sessions with Marketing and Engineering to define analytics needs and data gaps.

• Document business and data requirements, logical models, and source-to-target mappings.

• Conduct gap analysis between current Databricks implementation and target architecture.

• Validate and document existing profile scripts using strong SQL skills.

• Develop and maintain clear documentation, including BRDs, data flow diagrams, ERDs, and gap analysis workbooks.

• Translate complex technical concepts into clear, concise language for business stakeholders.

• Support test case definition and data validation during implementation phases.

• Collaborate with delivery teams following structured methodologies (waterfall or hybrid).

• Facilitate workshops and discussions to ensure alignment across teams and stakeholders.

• +5 years of experience in business and data analysis with IT product-related or analytics deliverables.

• Strong SQL proficiency for data validation and documentation.

• Solid understanding of data pipelines, ETL/ELT concepts, and Azure/Databricks environments (Delta Lake, medallion architecture).

• Familiarity with marketing data sources (MDW, DRINCC, SFMC) and customer data platforms (CDPs).

• Proven ability to create comprehensive documentation such as BRDs, ERDs, and data flow diagrams.

• Excellent verbal and written communication skills and ability to translate between business and technical audiences.

• Experience working under structured or hybrid delivery models.

• Strong facilitation, analytical thinking, and attention to detail.

• Experience with Agile or Waterfall methodologies is a plus.

• Understanding of data architecture and analytics ecosystems in marketing contexts is highly desired.

Our Perks and Benefits: 

📚 Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 
• Access to AI learning paths to stay up to date with the latest technologies. 
• Study plans, courses, and additional certifications tailored to your role. 
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 
• English lessons to support your professional communication. 

👩‍🏫 Mentoring and Development: 

• Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 
• Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.