- Professional
- Optionales Büro in Hyderabad
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
Job Description:We are looking for a versatile analytics professional who can go deep to derive useful insights and delight our customers (and help others learn to do the same). We are a team that moves quickly and relies on each other to think independently, work autonomously, handle ambiguity, and solve hard problems. If you are passionate about developing customer-centric analytics methodologies to help the world’s most loved brands, use their data to better serve their customers, and you are looking for a fast-paced, friendly, and fun place to work, you should apply!
Responsibilities
Work on customer-centric analytics and data engineering projects for global consumer brands
Assist in building and maintaining data pipelines for data extraction, transformation, and loading (ETL/ELT)
Analyze customer data to identify trends, patterns, and actionable opportunities
Develop dashboards and reports using BI tools like Tableau, Power BI, or Looker
Partner with senior analysts and engineers to automate recurring data workflows
Support implementation of data quality checks, testing, and documentation
Learn to translate business questions into structured data and analytical outputs
0–2 years of experience in analytics, data engineering, or related academic projects
Strong SQL skills and foundational knowledge of Python
Exposure to data visualization tools (Tableau, Power BI, or equivalent)
Understanding of basic data processing or statistical concepts
Excellent communication skills with a willingness to learn client-facing delivery
BE/B.Tech/BS in Computer Science, Statistics, or a quantitative field
