156 Analytics Specialist jobs in Singapore

JOB OVERVIEW

We're looking for passionate and experienced AI & Analytics Specialists who thrive on solving complex problems and unlocking the full potential of data for our customers. If you have a strong technical background in AI, machine learning, and cloud-based analytics platforms, this is an exciting opportunity to drive meaningful change in organizations through data-driven strategies.

In this role, you'll partner closely with clients to design and implement cutting-edge AI and analytics solutions tailored to their unique needs. Your work will empower them to streamline business processes, make smarter decisions, and discover valuable insights hidden within their data.

KEY RESPONSIBILITIES

• Customer Engagement: Collaborate closely with customer business and technical teams to understand their data needs and requirements, translating complex data challenges into effective pipeline solutions that drive successful outcomes.
• Data Pipeline Development: Design and implement scalable data pipelines to ingest, process, and transform data from various sources into accessible formats for analysis, ensuring optimization for performance and reliability.
• Data Platform Implementation: Oversee the implementation of cloud-based data platforms (e.g., Snowflake, AWS Redshift, Google BigQuery) that enable seamless data storage, processing, and access while ensuring alignment with customer objectives.
• Analytics Platform Solutions Design: Architect and design analytics solutions utilizing data visualization tools and frameworks, ensuring they meet customer goals and enhance decision-making capabilities.
• Data Quality Assurance: Implement best practices for data validation and quality checks throughout the pipeline to guarantee accuracy and reliability for analytics and reporting.
• Cross-Functional Team Collaboration: Collaborate with various teams to understand their data requirements and provide the necessary infrastructure, tools, and support to enable successful analytics and AI initiatives.
• Documentation and Reporting: Maintain comprehensive documentation of data pipeline architectures, processes, and workflows. Regularly update stakeholders on project status, performance metrics, and challenges encountered during development.
• Continuous Improvement: Stay up to date with the latest trends in data engineering and cloud technologies. Identify areas for improvement in data

QUALIFICATIONS

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: Over 5 years of experience in technical roles specializing in AI, ML, and data analytics projects, with extensive experience in cloud environments such as AWS, Azure, or Google Cloud.
• Technical Expertise: Proficient in AI/ML tools and platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform) and analytics services (e.g., AWS Redshift, Google BigQuery, Azure Synapse, Snowflake).
• Analytical and Problem-Solving Skills: Strong ability to analyze data and solve complex technical issues, especially in model performance tuning and deployment optimization.
• Communication: Excellent communication skills, with the ability to translate technical concepts into business value and work effectively with cross-functional teams.
• Self-Starter and Fast Learner: Ability to proactively lead tasks and projects with minimal supervision and adapt quickly to new technologies and evolving requirements.

WHAT IS IN IT FOR YOU?

• Attractive remuneration package, benefits & year-end bonus
• Excellent career development
• 5-day work with a flexible work schedule

Interested candidates can write to or apply via the job portal. Only shortlisted candidates will be notified. Thank you for applying.

We are seeking a highly skilled Senior Analytics Specialist to join our team.

The ideal candidate will have expertise in analyzing complex data sets, managing analytical instrumentation, and providing critical insights to support business decisions.

• Key Responsibilities:
• Collect, process, and validate geotechnical/structural monitoring data from various sources.
• Develop and maintain accurate data records, prepare detailed reports, and highlight anomalies for prompt action.
• Operate advanced data loggers and monitoring systems, troubleshoot issues as needed, and coordinate with field teams for data retrieval and equipment checks.

Requirements:

• A degree in Engineering, Geotechnical Science, Instrumentation, or a related field.
• Proficiency in Excel, with knowledge of instrumentation software an advantage.
• Excellent analytical, communication, and problem-solving skills.
• Experience in construction or infrastructure monitoring preferred.

JOB OVERVIEW
We’re looking for passionate and experienced AI & Analytics Specialists who thrive on solving complex problems and unlocking the full potential of data for our customers. If you have a strong technical background in AI, machine learning, and cloud-based analytics platforms, this is an exciting opportunity to drive meaningful change in organizations through data-driven strategies.
In this role, you’ll partner closely with clients to design and implement cutting-edge AI and analytics solutions tailored to their unique needs. Your work will empower them to streamline business processes, make smarter decisions, and discover valuable insights hidden within their data.
KEY RESPONSIBILITIES
Customer Engagement:
Collaborate closely with customer business and technical teams to understand their data needs and requirements, translating complex data challenges into effective pipeline solutions that drive successful outcomes.
Data Pipeline Development:
Design and implement scalable data pipelines to ingest, process, and transform data from various sources into accessible formats for analysis, ensuring optimization for performance and reliability.
Data Platform Implementation:
Oversee the implementation of cloud-based data platforms (e.g., Snowflake, AWS Redshift, Google BigQuery) that enable seamless data storage, processing, and access while ensuring alignment with customer objectives.
Analytics Platform Solutions Design:
Architect and design analytics solutions utilizing data visualization tools and frameworks, ensuring they meet customer goals and enhance decision-making capabilities.
Data Quality Assurance:
Implement best practices for data validation and quality checks throughout the pipeline to guarantee accuracy and reliability for analytics and reporting.
Cross-Functional Team Collaboration:
Collaborate with various teams to understand their data requirements and provide the necessary infrastructure, tools, and support to enable successful analytics and AI initiatives.
Documentation and Reporting:
Maintain comprehensive documentation of data pipeline architectures, processes, and workflows. Regularly update stakeholders on project status, performance metrics, and challenges encountered during development.
Continuous Improvement:
Stay up to date with the latest trends in data engineering and cloud technologies. Identify areas for improvement in data
QUALIFICATIONS
Education:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience:
Over 5 years of experience in technical roles specializing in AI, ML, and data analytics projects, with extensive experience in cloud environments such as AWS, Azure, or Google Cloud.
Technical Expertise:
Proficient in AI/ML tools and platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform) and analytics services (e.g., AWS Redshift, Google BigQuery, Azure Synapse, Snowflake).
Analytical and Problem-Solving Skills:
Strong ability to analyze data and solve complex technical issues, especially in model performance tuning and deployment optimization.
Communication:
Excellent communication skills, with the ability to translate technical concepts into business value and work effectively with cross-functional teams.
Self-Starter and Fast Learner:
Ability to proactively lead tasks and projects with minimal supervision and adapt quickly to new technologies and evolving requirements.
WHAT IS IN IT FOR YOU?
Attractive remuneration package, benefits & year-end bonus
Excellent career development
5-day work with a flexible work schedule
Interested candidates can write to or apply via the job portal. Only shortlisted candidates will be notified. Thank you for applying.
#J-18808-Ljbffr

We are seeking a highly analytical and data-driven Marketing Analytics Specialist to join our dynamic marketing team. The ideal candidate will possess strong analytical skills and a deep understanding of digital marketing channels. This role involves drawing insights from various data sources, implementing projects based on these insights, and collaborating with multiple stakeholders to craft effective go-to-market strategies.
Key Responsibilities:
Data Analysis and Interpretation:
Utilize strong analytical skills to interpret complex data sets and generate actionable insights. Proficiency in SQL to query databases and extract relevant data for analysis.
Digital Marketing Expertise:
Possess a deep understanding of various digital marketing channels. Familiarity with tools such as Google Analytics, SimilarWeb, App Annie.
#J-18808-Ljbffr

JOB OVERVIEW

We’re looking for passionate and experienced AI & Analytics Specialists who thrive on solving complex problems and unlocking the full potential of data for our customers. If you have a strong technical background in AI, machine learning, and cloud-based analytics platforms, this is an exciting opportunity to drive meaningful change in organizations through data-driven strategies.

In this role, you’ll partner closely with clients to design and implement cutting-edge AI and analytics solutions tailored to their unique needs. Your work will empower them to streamline business processes, make smarter decisions, and discover valuable insights hidden within their data.

KEY RESPONSIBILITIES

• Customer Engagement: Collaborate closely with customer business and technical teams to understand their data needs and requirements, translating complex data challenges into effective pipeline solutions that drive successful outcomes.
• Data Pipeline Development: Design and implement scalable data pipelines to ingest, process, and transform data from various sources into accessible formats for analysis, ensuring optimization for performance and reliability.
• Data Platform Implementation: Oversee the implementation of cloud-based data platforms (e.g., Snowflake, AWS Redshift, Google BigQuery) that enable seamless data storage, processing, and access while ensuring alignment with customer objectives.
• Analytics Platform Solutions Design: Architect and design analytics solutions utilizing data visualization tools and frameworks, ensuring they meet customer goals and enhance decision-making capabilities.
• Data Quality Assurance: Implement best practices for data validation and quality checks throughout the pipeline to guarantee accuracy and reliability for analytics and reporting.
• Cross-Functional Team Collaboration: Collaborate with various teams to understand their data requirements and provide the necessary infrastructure, tools, and support to enable successful analytics and AI initiatives.
• Documentation and Reporting: Maintain comprehensive documentation of data pipeline architectures, processes, and workflows. Regularly update stakeholders on project status, performance metrics, and challenges encountered during development.
• Continuous Improvement: Stay up to date with the latest trends in data engineering and cloud technologies. Identify areas for improvement in data

QUALIFICATIONS

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience: Over 5 years of experience in technical roles specializing in AI, ML, and data analytics projects, with extensive experience in cloud environments such as AWS, Azure, or Google Cloud.
• Technical Expertise: Proficient in AI/ML tools and platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform) and analytics services (e.g., AWS Redshift, Google BigQuery, Azure Synapse, Snowflake).
• Analytical and Problem-Solving Skills: Strong ability to analyze data and solve complex technical issues, especially in model performance tuning and deployment optimization.
• Communication: Excellent communication skills, with the ability to translate technical concepts into business value and work effectively with cross-functional teams.
• Self-Starter and Fast Learner: Ability to proactively lead tasks and projects with minimal supervision and adapt quickly to new technologies and evolving requirements.

WHAT IS IN IT FOR YOU?

• Attractive remuneration package, benefits & year-end bonus
• Excellent career development
• 5-day work with a flexible work schedule

Interested candidates can write to or apply via the job portal. Only shortlisted candidates will be notified. Thank you for applying.

• Designing, developing, and implementing data analytics solutions using SQL and Hadoop.
• Analyzing complex data sets to identify trends and patterns.
• Collaborating with cross-functional teams to deliver high-quality results.
• Providing recommendations to improve data quality and reduce errors.
• Staying up-to-date with industry trends and emerging technologies.

Join to apply for the
Data Analytics Specialist - MariBank
role at
Monee .
This role involves working closely with stakeholders to understand their needs and translate them into data analytics solutions, consolidating data from multiple sources, conducting ad-hoc analysis, designing and maintaining dashboards using SQL and Pyspark, and supporting campaign events.
Job Description
Collaborate with stakeholders to identify needs and develop analytics solutions.
Consolidate data from various sources to support decision-making.
Perform ad-hoc analysis and create visualizations of business issues.
Design, automate, and maintain dashboards for business units using SQL and Pyspark.
Support campaign events, including audience selection, tracking, and evaluation.
Requirements
Bachelor’s degree or higher in relevant fields such as Computer Science, Business Analytics, IT, Finance, or Statistics.
Open to fresh graduates and candidates with up to 4 years of experience.
Experience with analytical insights or predictive models is preferred.
Passion for data analysis, demonstrated through coursework, competitions, or projects.
Experience in business intelligence or marketing analytics in e-commerce or FinTech is a plus.
Strong project management and communication skills.
Additional Information
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
This job posting appears to be active and not expired.
#J-18808-Ljbffr

Work closely with stakeholders to understand their needs and pain points, translate them into data analytics problems, and provide actionable analytics solutions.
Be a subject matter expert in banking business and data. Consolidate data from multiple sources to create integrated views that can be used to drive decision-making.
Conduct ad-hoc analysis and suitable visualization of business issues.
Design, automate, and maintain mission-critical dashboards for our business units using SQL and/or Pyspark.
Support the campaign events, including the pre-campaign audience selection, in-campaign tracking, and post-campaign evaluation.
Requirements
Bachelor’s degree and above in Computer Science/Engineering, Business Analytics, Information Technology, Finance/Banking, Statistics and other related fields.
Open to fresh graduates and candidates with up to 4 years of relevant experience.
Experience in implementing analytical insight and/or predictive model into the business process is preferred.
Strong passion for data analysis by taking related courses, participating in DA/DS competition or developing projects in Github continuously is preferred.
Experience of business intelligence/marketing analytics in e-commerce/FinTech industry is a plus.
Strong project management and communication skills.
We are an equal opportunities employer and welcome applications from all qualified candidates.
#J-18808-Ljbffr

Job Summary:

We are seeking a highly skilled Senior Financial Planning and Analytics Specialist to join our team.

Key Responsibilities:

• Develop and implement comprehensive financial planning, budgeting, and reporting models within Jedox.
• Collaborate with stakeholders to gather business requirements and translate them into scalable solutions.
• Create ETL processes, data models, and dashboards within Jedox to drive business insights.
• Inegrate Jedox with ERP and other enterprise systems for seamless data flow.
• Provide expert training and support to business users on system performance and data accuracy.
• Stay up-to-date with best practices in FP&A, BI, and performance management to deliver impactful business solutions.

Required Skills and Qualifications:

• A minimum of 2-3 years of experience in audit, consulting or implementation is required.
• Hands-on experience with Jedox/Anaplan/One Stream or similar implementation, integration, and optimization is essential.
• Strong understanding of financial planning, budgeting, forecasting, and consolidation processes is mandatory.
• Excellent analytical, problem-solving, and communication skills are a must.

Benefits:

The ideal candidate will have the opportunity to work with a talented team and contribute to delivering high-quality solutions. Strong professional development opportunities will be available to support your career growth.

About Us:

We are a forward-thinking organization dedicated to excellence in finance and analytics. Our mission is to empower businesses through innovative technology solutions and expertise. If you're passionate about finance, analytics, and technology, we encourage you to apply for this exciting opportunity.