Exciting Opportunity for Data Analysts in Singapore – Join our Team Today
Data analyst jobs in Singapore generally offer competitive salaries compared to many other countries. Singapore has a strong demand for data professionals due to its emphasis on technology, innovation, and data-driven decision-making. As a result, salaries for data analysts in Singapore tend to be relatively high.
The actual salary for a data analyst in Singapore can vary depending on factors such as the candidate’s experience, qualifications, industry, and the specific company they work for. Entry-level data analysts can expect a starting salary of around SGD 3,000 to SGD 4,500 per month. With a few years of experience, salaries can increase to the range of SGD 5,000 to SGD 7,000 per month. Senior data analysts with significant experience can earn salaries ranging from SGD 7,000 to SGD 10,000 per month or even higher.
It’s worth noting that these figures are approximate and can vary based on various factors. Additionally, the cost of living in Singapore is relatively high, which means that the salary levels should be considered in that context. It’s always advisable to research current salary trends, specific job openings, and negotiate based on your qualifications and experience when considering data analyst roles in Singapore.
Senior Data Analyst MCG Talent Singapore, Singapore Hybrid
Data & Product Specialist
Workplace type: Hybrid
Business type: Digital Media – Sports & Entertainment
Location: Singapore
Permanent role – Full-time
Competitive market rate salary + Bonus
Annual Leave: 20 days
Language: Fluent in Written & Spoken English
About the business:
An exciting Global Media Giant with XXX million subscribers worldwide. distributes and produces entertainment, live sports, and major international events across 5 continents. Their flagship sports network holds the largest sports broadcasting rights portfolio in the world.
The Role
You will be part of an exciting Digital team of designers and engineers responsible for a global/regional product with millions of customers working on a cloud-based data platform.
You will manage structured and unstructured data and work on AI/ML innovation projects, Enhancing existing components and platform architectures. You will have strong problem-solving capabilities to create key actionable insights from large data sets for various stakeholders such as analysts, content creators, etc., enabling good business decisions by building good business insights. Which enables good business decisions by building dashboards.
Requirements
- More than 5 years of experience, working with enterprise-level applications.
- Bachelor’s degree in Computer Science / Engineering / Information Systems.
- You must have experience in building/designing platforms and distributing web applications.
- Able to work with stakeholders to understand business needs, manage expectations, and prioritize requirements for roadmap maintenance.
- Required skills include SQL, Python, GraphQL, PostgreSQL, or Golang.
- Google Cloud Platform.
Culture
A culturally diverse team with a product-first and data-driven mindset to deliver high-end products and services.
- Values that matter: Transparency, adaptability with a can-do attitude.
- Strong ability to communicate “change” to the team, this is where adaptability to changing customer/market needs comes in.
Contact us to learn more
For more information and a confidential discussion about this role, please contact me at yogi@mcgtalent.io
Data Analyst Robert Walters Singapore, Singapore On-site
About the Data Analyst Role
Reporting to the Head of Digital Transformation, this position is an excellent opportunity to advance your career with a leading technology solutions provider that has been established for over 50 years.
Key Responsibilities:
- Collect, design, and modify data processes for the organization
- Work with internal teams to identify areas of improvement to connect data flows
- Manage stakeholders and liaise with them to understand business requirements
- Document all solutions and processes
- Perform data cleansing and ensure data quality in the data warehouse
- Identify root cause analysis of data issues and provide long-term solutions
- Assist the team in SIT and UAT
- You must have at least four years of experience to succeed in this Data Analyst role.
Key Requirements:
- Bachelor’s degree in Computer Science or equivalent
- Previous experience as a data analyst or managing data-related work from start to finish
- Experience in data modeling and data mining
- Technical expertise in BI tools and programming languages (R, Python, SQL)
- Experience in maintaining large ETL jobs to ingest and process data
- Experience in databases – MySQL
- Good understanding of statistical skills
- This is an excellent opportunity to be part of a company with a strong regional footprint.
If you are passionate, determined, and looking to take the next step in your career, this is the role for you. Excellent career development opportunities await the right person for this exciting Data Analyst position.
Apply today or call me at +65 6228 5350 to discuss this new opportunity. Alternatively, send your resume to sachet.sethi@robertwalters.com.sg.
Please note that we will only contact you if your application is shortlisted.
Robert Walters (Singapore) Pte Ltd
ROC Number: 199706961E | EA Licence Number: 03C5451
EA Registration Number: R1439850 Sachet Sethi
Check here: Join Parcel Walker Job Singapore Today: Parcel Walker ExtraordinaireData Analyst – Sea
About this job
As a Data Analyst, you will play an important role in delivering high-quality and comprehensive analyses to support business-related needs.
In addition to applying strong technical knowledge to our projects, you will be involved in designing and implementing innovative elements to meet our evolving business needs.
- Understanding user needs; Designing data deliverables
- Understanding data sources; Designing data warehouse and ETL pipelines
- Developing, shipping, and maintaining ETL pipelines using various technologies
- Manage data, scripts, and documentation according to compliance rules
- Assist users with offline data processing and improve their efficiency by automating routine work
- Collaborate with the data platform team and strive for better platform features to ease ETL development
Requirements:
- Bachelor’s degree or higher in computer science, business analytics, maths, statistics, or related discipline
- Good understanding of SQL and Python; experience in other programming languages, such as R, Scala, Java, and Shell, preferred
- Hands-on experience in big data technologies, such as Hadoop, Spark, and Flink, preferred
- Strong analytical and logical thinking skills
- Good communication skills
- Independent learner with a strong sense of ownership
Carbon Data Analyst – Terrascope
Terrascope is backed by one of the world’s largest food and agriculture companies and is a global leader in climate action and sustainability. With significant strategic advantages and secure funding, the company is uniquely positioned to drive profits with purpose; driving decarbonization in the supply chain while generating huge financial returns.
As a carbon data analyst, your work is directly correlated to customer success. You will play a critical role in implementing the client’s first carbon measurement on our carbon platform. Your learnings as you work through this process will provide feedback to the product development team to further improve your and clients’ user experience on the platform.
Why work with us:
- Solve our generation’s biggest challenges and make a real difference in the world
- Build a startup from scratch in an exciting, meaningful, world-changing place
- Work with cutting-edge technologies in hybrid SaaS, big data, and data science
- Enjoy the benefits of working in an early-stage startup environment backed by the financial security and strategic advantages of a corporate context
- Sustainable and flexible work culture with support for remote working models
- Competitive compensation and benefits (including base salary, bonus, insurance, and more)
- Visa and relocation support for a smooth transition to working and living in Singapore
In this role, you will
- Collaborate with our Customer Success Manager and interact with clients to determine the data required to complete customer organisation carbon measurements
- Liaise with customers to help them provide the correct data required for the calculation. Guideorganization additional data required to enrich the raw data set for carbon footprint measurement
- Converting unstructured data sets provided by clients into structured data that can be fed into our product’s data processing pipeline to calculate carbon emissions
- Using our platform to calculate, map, and publish carbon footprints to be used by companies for carbon measurement, management, and reporting.
- Provide feedback and learnings to our product development team to improve your workflow and extend the platform’s capabilities
What we’re looking for:
- Have skills in writing SQL queries, data engineering, and structuring skills, or have a quantitative background with a desire to learn!
- Detail-orientated and willing to make sense of unstructured data. You understand how numbers from Excel spreadsheets translate into real-world transactions and operations.
- You take responsibility for your work and are comfortable working in a client-facing role.
- Are a strong verbal and written communicator who can simplify and communicate complex concepts to a novice audience
- Are excited to be part of a team that is looking to solve climate change, and are passionate about this space
- Bonus: You have prior experience in climate or sustainability related industry and knowledge on Green House Gas Accounting Principles
We’re committed to creating an inclusive environment for our strong and diverse team. We value diversity and foster a community where everyone can be his or her authentic self.
Business Intelligence Analyst – SG Business Intelligence Shopee
The Business Intelligence and Data Analytics team plays a critical role in performing data-driven business iterations on a close-loop basis. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also proactively discovering actionable insights to help drive high-impact business change. Our end-to-end data solutions reduce the gap between business and technical teams and achieve real ‘intelligence’ in the iteration cycle. Explore our Business Intelligence and Data Analytics team vacancies to find out how you can make an impact with us.
Job Description
- Partner with business teams to deliver insights to support data-driven decision-making strategies
- Lead cross-functional team data analysis projects
- Provide solid technical support on automation and business projects
- Translate complex business requests into executive technical tasks
- Automate manual reporting processes with VBA/python/SQL
- Monitor and optimize reporting flow from back-end to front-end
- Complete complex data projects using variable algorithms
- Provide training and coaching of team members
Requirements
- Bachelor’s/Master’s degree, preferably in data analytics, statistics, mathematics, or other quantitative disciplines
- 0-3+ years of experience in business intelligence, data analytics, or other related fields
- Proven technical skills, Python, SQL, VBA, Excel, Google Sheets, Tableau, etc.
- Experience in data analysis preferred
- Able to pay attention to detail and rely on data
- Able to tell stories and turn numbers into key insights that drive business decisions
- Able to communicate clearly and concisely to stakeholders
- Able to identify root causes and resolve challenges
Regional Operations Data Analyst Shopee
The Operation teams at Shopee cover the operational end-to-end process, from when the buyer searches for a product listed on the Shopee platform, to the moment the buyer receives the products. The team analyses and monitors operational KPIs across the region and conducts root cause analysis when operation performance fluctuates. The Operations team comprises Customer Service, Payment, Listings, Warehouse, Logistics, Seller Operations, and Fraud.
About The Team
The Shopee Regional Logistics team is committed to providing Shopee’s users with the best possible e-commerce logistics experience in the most cost-effective way. Positioned at the crossroads of Business, Operations, and Product, the team strives to enhance delivery speed and reliability by creating innovative services that delight our users. By utilizing the latest technology and data-driven strategies, the team optimises the entire logistics value chain, from the seller to the last-mile delivery, from pre-purchase to order completion. As a regional team, they work collaboratively across multiple markets and teams in Shopee.
Job Description
- Analyzeoptimizes diverse and dynamic datasets related to logistics operations and user behaviors, deriving valuable insights to address complex challenges
- Create clear and informative dashboards and visualizations to present data in a visually appealing manner, aiding data-driven decision-making
- Utilise advanced data models, algorithms, and statistical analyses to identify patterns and trends, providing valuable insights for informed decision-making
- Track and measure the impact of implemented initiatives, providing regular updates on the effectiveness and outcomes of data-driven strategies
- Collaborate closely with cross-functional teams in a collaborative and inclusive environment
- Present findings and recommendations to stakeholders in a clear and concise manner
- Work with other teams to build reliable data pipelines to ensure data quality and accessibility, exploring opportunities for enhancing data management practices
Requirements
- Bachelor’s degree in a STEM field, statistics, computer science, or a related discipline. Fresh graduates are encouraged to apply
- Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms to create effective data visualizations is helpful but not necessary
- Passion for utilizing data to drive informed decision-making and improve processes
- Strong communication skills for effective collaboration, presenting findings, and conveying insights to stakeholders in a clear and straightforward manner
- Eagerness to learn and adapt in a rapidly evolving field
- Ability to thrive in a collaborative and inclusive team environment.
To increase your chances of getting approved for data analyst jobs in Singapore, consider the following tips:
Tailor your resume: Customize your resume to highlight your relevant skills, experiences, and qualifications for the specific data analyst job you’re applying to. Emphasize your data analysis skills, technical expertise, and any industry-specific knowledge or projects you have worked on.
Showcase your portfolio: Include a link to your portfolio or online platform where you can showcase your data analysis projects, visualizations, and reports. This provides tangible evidence of your abilities and demonstrates your practical experience.
Highlight relevant experience: If you have previous work experience or internships related to data analysis, highlight the specific projects you worked on, the tools you used, and the insights you derived. Quantify your achievements and demonstrate how your work contributed to the success of the project or organization.
Emphasize technical skills: Data analysis requires proficiency in tools and programming languages such as SQL, Python, R, Excel, and data visualization software. Clearly list these technical skills on your resume and provide examples of how you have utilized them in your previous work or personal projects.
Demonstrate domain knowledge: If you are applying for a data analyst position in a specific industry, such as finance, healthcare, or e-commerce, showcase your understanding of that industry. Familiarize yourself with industry-specific data analysis techniques, terminologies, and challenges. This demonstrates your ability to apply data analysis within the context of that industry.
Highlight soft skills: Data analysts not only need technical expertise but also strong communication, problem-solving, and critical thinking skills. Highlight these soft skills on your resume and provide examples of how you have effectively communicated complex findings or collaborated with cross-functional teams.
Obtain relevant certifications: Consider earning certifications in data analysis or related areas to enhance your credibility and demonstrate your commitment to professional development. Certifications from recognized organizations, such as Microsoft, Tableau, or IBM, can boost your resume and make you stand out among other applicants.
Network and seek referrals: Leverage your professional network, both online and offline, to find connections within the industry. Engage with professionals through LinkedIn, attend industry events, and seek referrals from contacts who may have connections to data analyst job opportunities. Referrals can often carry significant weight in the hiring process.
Prepare for interviews: Research the company and the specific data analyst role you are applying for. Understand their business, industry, and data analysis requirements. Practice answering common interview questions related to data analysis and prepare examples that demonstrate your skills and experiences.
Continuously learn and stay updated: Data analysis is a rapidly evolving field, so staying updated with the latest tools, techniques, and industry trends is essential. Engage in continuous learning through online courses, workshops, and industry publications to stay ahead and demonstrate your commitment to professional growth.
Remember, landing a data analyst job in Singapore may take time and effort. It’s important to remain persistent, continue honing your skills, and actively seek opportunities to demonstrate your capabilities in the field of data analysis.
