Data Analyst
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 2, 2026.
Job Description
Roles: - Data Analyst
Location: Singapore
Job Summary -
This role is responsible for collecting, analyzing and interpreting, data to support decision-making and provide insights to the organization. It also supports Tech Marketing Engineer to make data-driven decisions, optimize processes, and achieve their strategic objectives. The role applies statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights.
Years of experience needed -
4+ year of experience
Technical Skills:
- In accordance with plan, perform/executes data collection and analysis procedures and data insight visualizations for assigned projects.
- Collects, records, and analyzes data using established protocols and processes; communicates findings to TME for review and feedback.
- Generate actionable insights through holistic and detailed analysis of such as Star Rating and NPS, calls and returns, to drive improvements and customer satisfaction.
- Utilizes advanced analytical techniques to extract, clean, and analyze complex data sets from various sources.
- Works independently on moderate scope problems, applying professional expertise, exercising judgment, and resolving various issues by following company policies and procedures.
Knowledge & Skills
- Agile Methodology
- Business Intelligence
- Computer Science
- Dashboard
- Data Analysis
- Data Management
- Data Modeling
- Data Quality
- Data Science
- Data Visualization
- Data Warehousing
- Extract Transform Load (ETL)
- Machine Learning
- Power BI
- Python (Programming Language)
- R (Programming Language)
- SAS (Software)
- SQL (Programming Language)
- Statistics
- Tableau (Business Intelligence Software)
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Certification:
- Any degree or equivalent.
- Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
- ~ 2 years of relevant work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
- Programming Language/s Certification (SQL, Python, or similar)
About Mphasis
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.