
Senior / Lead Data Analyst (S/executive)
7 days ago
Job ID:
**DO-Data-DA-SLDA**
**Job Type**:
**Full Time**
Job Classification:
**Senior / Executive**
Department:
**Digital Office**
Function:
**Information Systems**
**Location**:
**Jurong, Singapore**
Years of Experience:
**2**
Job Responsibilities/Requirements:
**About M1**:
M1 is Singapore’s most vibrant and dynamic communications company, providing mobile and fixed services to over two million customers.
M1’s vision is to enable digital services with an elastic Cloud-native and modular technology stack and offer hyper-personalized and predictive service experiences for both consumers and enterprises. We are in midst of a company-wide multi-year digital transformation to uplift, digitalize, and future-proof our entire business model. The transformation will empower us to experiment, reach industry-leading efficiency, and become the ecosystem partner of choice.
Join us and be a part of a high-performing agile and collaborative team that is paving the way for M1 to become an adaptable, Digital-first telco. Together we can innovate with the latest technologies, offer new value propositions rapidly to the market, and change Singapore’s way of telecommunication
**About the Role**:
Passionate about discovering data insights and implementing analytics solutions that help businesses makes informed decisions based on facts and data.
**Key Responsibilities**:
- Explore, design, develop and implement data analytics solutions across all business functions
- Integrate and prepare large and varied datasets for ease of data discovery and analytics using Business Intelligence (BI) & Analytics tools
- Automate and operationalize data pipelines
- Train and empower business users in self-help data analytics capabilities
- Collaborate with business users, advise on analytical approaches and solutions to address business challenges
- Proactively discover and incorporate new insights from all data sources / raw datasets
- Explore, test and recommend new technologies, tools and techniques that will overall improve data processing, enhance the analytics solution or produce effective and engaging visualization
**Key Qualifications**:
- Degree in Statistics, Mathematics, Computer Science or related fields with 2+ years of experience in Data Analytics. New graduates with the right skills/competencies and eager to learn, are welcome to apply
- Experience in designing and developing data models, multiple data source integration, data pipelines in data warehouses and big data platforms
- Experience in presenting analytics results effectively using data visualization & analytics tools such as Tableau and ThoughtSpot
- Experience with Snowflake cloud data warehouse, relational databases with strong SQL and Python knowledge
- Experience in MS Azure cloud technologies and cloud computing
- Experience with Agile development, DevOps and Continuous Integration / Continuous Delivery (CI/CD)
- Experience with Scala, R, Linux/windows scripting would be an added advantage
- Telecom domain knowledge with good understanding of Customer Care, Order Management, Marketing, Loyalty, Business Support and Network Provisioning systems would be advantageous
- Experience with geospacial analysis using telecommunications network data would be an added advantage
- Comfortable working with very large volumes of data of various structured/unstructured data formats
- Strong analytical and problem-solving skills
- Excellent communication and presentation skills
- Able to perform under pressure and work effectively with end-users and vendors
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