No. of Positions

1

Job Description

Qualification, Key Skills and Knowledge Areas

Key responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Work with management to prioritize business and information needs
• Data visualization and supporting data scientists by data modelling.
• Locate and define new process improvement opportunities

Key competences

Category

Big data tools

Scripting language

Statistical Language/tools

Querying Language

Cloud Environment

Data Visualization Tools

Preferences

• Experience of working in virtual teams
• Data analyst certification a plus
• Experience of working in Agile projects

Behaviors

Authenticity:

• Inspire by personal integrity, transparency and humility
• Resilient under pressure, strengthened by adversity
• Assess risk and take decisions under pressure

Performance:

• Lead delivery of extraordinary outcomes for the business, especially apply changes without business interruption

Growth:

• Active in external environment for new perspectives and opportunities. Especially build up further technical knowledge by gathering information from the outside world

Collaboration:

• Collaborate across boundaries at pace, embrace diversity and cultures.

Skillpool

IT Solution Development

Employment Type

Full Time

Company Description

Shell is one the largest foreign investors in Singapore and began operations in 1891. Today, we have more than 3,200 employees in Singapore alone. The Pulau Bukom Manufacturing Site today is the largest Shell refinery in the world in terms of crude distillation capacity, which makes Singapore a key regional supply and trading centre for Shell in the East. Singapore is the largest petrochemical production and export centre in the Asia Pacific region. Shell Jurong Island (SJI) manufactures petrochemicals to meet the fast-growing demand for these products in the region. We also have one of the largest single-branded retail networks in Singapore, providing customers with a wide range of quality products and services. When you join Shell in Singapore, you can count on our commitment to help you thrive and propel your career by means of our industry-leading development programme and our available and unrivalled pool of local and global experts. Our numerous global and local skill pools as well as our diversity are key to our success and continuing innovation.

Disclaimer

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date.

Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world.

The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand.

Shell is an Equal Opportunity Employer.

Requirements

Essential Skills

• Bachelor's Degree in Computer Science, Information Technology or equivalent with minimum of 5-8 years of proven working experience as data engineer.
• Candidate will belong to Chemicals line of business and represent IT Hub Singapore across other IT Hubs.
• The position will be part of a data engineering or cross-disciplinary team on development projects and initiatives, typically involving large complex data sets.
• Technical expertise in Data modelling, Database design development, Data Mining and Segmentation techniques; must know performing data loads and transformations (Hand-on experience required).
• Working hands-on experience of methods for parsing, formatting, & transforming data into units consistent with analytical needs; should demonstrate proficiency in implementing logical/physical data models and can perform integration of multiple data source-formats into master data load.
• Strong knowledge and experience in/with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks).
• Experience with Distributed Systems and computing. Meaningful experience in Distributed Processing (Spark, etc.)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (e.g., Excel, SPSS, SAS etc.)
• Hands-on experience with Python and relevant libraries (PySpark, Pandas, etc.)
• The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying irregularities and linkages across disparate data sets.
• Experience working collaboratively in a close-knit team and in clearly communicating complex solutions.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing and presenting findings.

Desired Characteristics

• Experience and interest in cloud infrastructure (Azure, etc.) and containerization (Kubernetes, Docker, etc.)
• Deep understanding of Information Security principles to ensure compliant handling and management of client data.
• Experience in traditional data warehousing / ETL tools (SAP HANA, etc.)
• Experience or interest in building robust and practical data pipelines on top of cloud infrastructure (Pachyderm, Kubeflow, etc.)