Analyst- Data Engineering
This Analyst-Data Engineering role at Huron focuses on collecting, cleaning, and organizing large datasets to support business decision-making through analytics and reporting. The position requires strong analytical skills, attention to detail, and proficiency in SQL and Python for data processing and quality assurance.
Skills required
About this role
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
Join our team as the expert you are now and create your future.
Key Responsibilities
- Collect, clean, and organize large datasets for analysis and reporting.
- Support data management activities, ensuring accuracy, consistency, and security.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop dashboards and reports using Excel, SQL, Python, R, or BI tools (Power BI/Tableau).
- Assist in automating data workflows and processes for efficiency.
- Collaborate with cross-functional teams to understand data needs and provide insights.
- Document data processes and ensure compliance with data governance policies.
- Stay updated with industry trends in data analytics and management.
Preferred Qualifications
- Bachelor/Master degree in computer science, Information Technology, or related field with a focus on Data Analytics, Business Analytics & Intelligence, Data Science & Computational Intelligence, Machine Learning & Data Analytics, or Robotics & Data Analytics. 2025 Batch preferred
- Consistent academic record with minimum 80% or equivalent CGPA in all educational qualifications. (For Maharashtra based candidates 75% or equivalent academic record is needed.)
- Strong analytical and problem-solving skills, with experience in data management and reporting tools (Excel, Access, SQL).
- Fundamental understanding of object-oriented programming concepts.
- Knowledge of SQL, DBMS/RDBMS, and database management.
- Familiarity with Data Visualization tools like Power BI, Tableau, OAC etc., Data Integration tools (Informatica, Mulesoft, Talend, ODI, etc.), Data Governance, Master Data Management, and Python.
- Excellent communication and collaboration skills.
- Ability to learn and adapt to new tools, technologies, and methodologies in enterprise solutions.
- Eagerness to learn new tools, technologies, and methodologies
