Roles and Responsibilities

• Analysis of investment deals in both public & private market
• Processing and placing of trade orders, stocks & shares
• Other duties whenever assigned

Requirements

• Diploma in Business Admin or in Engineering
• 2 years knowledge in Fintech industry
• Able to start work immediately

About the Client

Leading Insurance client

Responsibilities

The candidate will be expected to contribute in the following areas:

· Managing the unified project timelines and deliverables

· Work with IT and various teams on project plan and timelines

· Collaborate with cross-functional teams to ensure project deliverables are completed on time

· Ensure Unified CIF changes are applied to the downstream platforms and picked up on google analytics as a custom dimension

· Understand the web redesign or revamp requirements, translate to google analytics requirements, provide testing support to the developers and web teams.

· Synchronize the analytic tags across the sites

· Engage in full acceptance testing and troubleshooting of tracking issues together with developers

· Develop reports and dashboard on google analytics on website tracking on both health and performance metrics

Skills/Requirement

· At least 3 years Digital analytics implementation and reporting experience with Google Analytics, firebase and Google Optimize.

· Strong analytical skills, excellent communications skills, both written and spoken

· Experienced with planning and executing MVT and A/B testing solutions using 3rd party platform such as Google Optimize or similar platform is preferred

· Proficiency in Google Analytics and Microsoft Excel, Python or any other scripting language is a must

· Experience with digital analytics tools (Adobe Analytics, Google Analytics, etc) and tag management system (Launch, GTM, etc).

· Experience with digital analytics requirements and reporting for sales, post login and app journeys.

· Experience with HTML and Google Data studio to setup regular reporting for manager reporting

· Experience in defining analytics tracking requirements, and guiding developers through implementation of those requirements

· Experience in verifying, deploying and troubleshooting triggers and tags through GTM

· Experience in reading and analysing of various data sets to uncover opportunities/wastages

· Positive and adaptable attitude

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

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Responsibilities

• Regional Operational Risk Monitoring – To analyze & manage operational risks of overseas offices through reviewing
• Quantitative Risk Profile
• Operational Errors
• Local Operations Committee
• Intra-Office Inspection Plan and Results
• Control Self-Assessment
• Internal Operation Procedure
• Business Continuity Management
• Devise and introduce strategies to prevent, eliminate & mitigate operational risks of overseas offices by providing opinions and advises for streamlining of workflow and processes
• Review and analyze branches' operational workflow and identify potential bottlenecks and operational lapses to reduce operational errors
• To spearhead the preparation of overseas offices’ OER, Transaction Volume & Operational Analysis report for Management
• Engage with the overseas offices to select core Goal Setting items
• Evaluates overseas offices' achievement based on the criteria set by HQ, IOPD
• Conduct trainings at overseas offices e.g. SWIFT basic knowledge, Operations Planning, Operational Risk Control, Local
• To plan and organize Forums to upgrade the skills and knowledge of overseas offices national staffs; to design Forum agenda, to arrange for speakers and meeting facilities (OJT, Regional Operations Forum)
• Reporting & Analysis; compiling reports, updates, translation from English to Japanese & vice-versa
• Prepare consolidated report on Asia Pacific region’s Transaction Volume, Operational Errors, Trade Volume, MGEB ratio etc.
• Contribute comprehensively in the areas of operational risk and provide cross-functional support between other HQ teams and overseas offices: -
• Streamline the process of each overseas office in order to have smoother SEIBI preparation
• Provide cross functional guidance based on the expertise of operational risk
• Review and Lead the project with India and related HQ departments through coordination and strategic planning
• Review and support the project with related HQ departments and overseas offices through coordination and strategic planning

Requirements

• Willing to travel for short business trips to branch offices when required
• Diverse knowledge of various back-office operations (Loans, Treasury, Trade, Remittance, Deposit), Operations Planning and Risk Management

Interested candidates who wish to apply for the advertised position, please click on "Apply Now". We regret that only shortlisted candidates will be notified.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E

EA License No. 01C4394 • EA Registration No. R23114347 (Pang Xue Ni)

Singapore - Low Voltage Software Automation – Data Analyst

Tesla is seeking a versatile Data Analyst to join our Low Voltage Software Automation team.

Our team is at the heart of Low Voltage system. Microcontrollers, aka the brains in Tesla vehicles, control over 500 interfaces, which involve switches, sensors, cameras, and motors. We're responsible for developing software to communicate with and validate these microcontrollers.

As a Data Analyst in our team, you will play a crucial role in leveraging data to drive informed decisions, improve processes, and provide valuable insights to various Low Voltage engineering teams and products (Autopilot, Dojo, Optimus, and more…).

Responsibilities

• Dashboards: Build and maintain analytics tools and platforms that empower Low Voltage engineering teams to analyze and interpret data independently.
• Reports: Generate automated reports/alerts with relevant data insights for stakeholders.
• Collaboration: Collaborate with cross-functional teams to understand their data needs and provide data-driven solutions.
• Data Quality Assurance: Ensure data accuracy, integrity, and consistency across all data assets.
• Performance Monitoring: Monitor data pipelines and dashboards for performance and troubleshoot issues as needed.
• Documentation: Maintain clear and concise documentation of data processes, methodologies, and tools.

Qualifications

• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Engineering).
• Proven experience as a Data Analyst or similar role.
• Strong proficiency in Python and libraries such as Pandas for data manipulation.
• Proficiency in SQL for data retrieval and analysis.
• Experience with database management and design.
• Familiarity with data visualization tools like Dash.
• Knowledge of ETL processes and tools like Apache Airflow.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work on multiple projects simultaneously.

Preferred Qualifications:

• Experience working with automotive manufacturing/engineering data or related fields.
• Knowledge of advanced statistical analysis and machine learning techniques.
• Familiarity with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).

• Degree from a recognized tertiary institution with at least 5 years of working experience, where at least 2 years of hands-on experience in data management or data analytics within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous for operations.
• Good understanding on data modelling and data integration.
• Experience in working with enterprise databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica).
• Experience in programming languages in Java and Python.
• Experience in working with business intelligence/data visualization tool using Tableau and PowerBI.
• Experience in SDLC methodology and/or Agile methodologies like Scrum and Kanban.
• Good team player, with strong analytical skills and enjoy complex problem solving.
• Excellent written and verbal communication skills. Strong interpersonal and people leadership skills to interact with diverse stakeholders.
• Experience in data engineering and platform in one or more areas is advantageous:
o Data Virtualization Technology (Denodo)
o O365 Suite

Summary:
• The successful candidates will be supporting Project Fortify, responsible to close identified gaps in enterprise track and support ongoing BAU activities for research track.

Responsibilities:
• Work closely with business (quantitative strategist, end users, etc.), data engineers, and data scientists to implement and support data solutions using best-of-breed technology and methodology.
• Conduct requirement workshop with business and/or users and analyze requirements holistically.
• Contribute, influence and review the design of data solutions to ensure it meets both business and operational needs. Demonstrate technical expertise in the assigned area.
• Set up/improve/streamline new/existing data operations process through analyzing systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) for continuous improvements.
• Incorporate data management best practices into operational workflow.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Manage and maintain strong data vendor relationship to ensure continuous support and knowledge for existing and future data needs.
• Play an active role in the project coordinating between internal resources and third parties/vendors for project execution.
• Provide coaching and guidance to juniors.

• Experience in Java (SpringBoot/Maven).
• Experience in SQL and PSQL Oracle database.
• Possess learning and collaborative mindset.
• Strong analytical and problem solving skills.

• Familiar with DevOps tools, CICD cycle, GitHub, and Jenkins.
• Experience in Linux environment.
• Experience in Python.