Total 368 accounting analyst job vacancies in Information Technology category in Indonesia

Presentation & Communication Support

• Develop and maintain high‑quality PowerPoint decks for project finance updates, business cases ROI calculations, and stakeholder discussions
• Help structure slides to clearly present financials, analysis, progress, and key messages
• Draft clear and concise written materials such as summaries, trackers, meeting notes, and follow‑ups
• Support senior team members in preparing materials for steering committees and senior stakeholders

Financial & Analytical Support

• Support quantitative analysis, including:
• ROI and cost‑benefit calculations
• Basic financial modelling and scenario analysis
• Tracking of key financial metrics, project value case metrics and project success KPIs
• Assist in validating numbers, assumptions, and calculations used in presentations and reports
• Translate analytical outputs into clear insights and visuals

Stakeholder Coordination

• Work with multiple stakeholders across business, technology, finance, and vendors to gather inputs and clarifications
• Support coordination of meetings, agendas, actions, and follow‑ups
• Help ensure alignment by tracking decisions, dependencies, and action items

Project & Program Support

• Support day‑to‑day project activities such as:
• Maintaining trackers and timelines
• Monitoring risks, issues, and dependencies
• Preparing status updates and reports
• Work closely with both technical teams and business users to support delivery activities
• Escalate issues or gaps to senior team members where needed

Required Skills & Experience

Experience Level

• Typically 5–10 years of experience
• Prior experience in financial services, consulting, analytics, or enterprise environments is a plus but not mandatory

Core Skills

• Strong PowerPoint skills, with ability to build clear, structured, and professional decks
• Background in mathematics, finance, economics, engineering, data, or a related quantitative field
• Hands‑on experience working with:
• Financial numbers
• ROI or cost‑benefit calculations
• Assumptions, baselines, and simple financial models
• Strong numerical accuracy and logical reasoning

Interested candidates please send in your resume to:
Topaz Liang Huimin (CEI No. R1104500), email to: west1@recruitexpress.com.sg
EA License No: 99C4599

MUST HAVE Requirements / Sourcing On Behalf of Banking Sector Client In Singapore (Kindly apply directly or reach out to our recruiters - Edwin Teo; EA Personnel No. R24123520; Whatsapp +65 8833 0192)

1. Strong Technical Experience: Software Application Solution/Technical Design (functional analysis, impact assessment, Software Architecture Design) For 3-Tier Architecture/On-Premise & Software Architecture Technical Design (Current Project Is More Than 3-Tier Architecture)

2. Good Exposure To Database Development (Hadoop, Hive & Python Scripting)

3. Functional Aspect In AML/KYC Compliance Technology (Good To Have, But Mandatory To Have Relevant Technical Skill Set)

4. Functional Aspect: Given a business requirement to bring in data, candidate must under business users requirements to source for the data and design data mapping for the AML/KYC Compliance models.

5. Strong Technical Experience: Software Application Solution/Technical Design (functional analysis, impact assessment, Software Architecture Design) For 3-Tier Architecture/On-Premise & Software Architecture Technical Design (Current Project Is More Than 3-Tier Architecture)

6. Domain: Machine Learning & Dynamic Customer Risk Score (KYC Compliance) - EDA process, Stratified sampling, Standard machine learning process, Feature engineering

7. This role is not data engineering and not suitable for Data engineers who have never worked on a user facing application.

8. This role is a not a System integrators/System Engineer/Application Infra Engineer

9. This role is not a Pure project managers/scrum masters. The person has to be hands on technically

Job Objectives:

To support AML (Anti-Money Laundering) Projects/CRs for Singapore and Regional entities

Responsibilities:

Participate in end-to-end projects for system implementation of MLS system

Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security and control standards

Liaise with application teams across group and countries build the enhancements according to the technical solution plan

Analyse user requirements and convert requirements to design document and other system documentation to capture key design decisions

Plan technical deliverables, perform design and development works to meet project’s requirements within schedule

Perform data mapping and process mapping with interfacing applications

Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation as requested

Test, maintain and recommend software improvements to ensure strong functionality and optimization

Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing with quality result

Liaise with other application teams and business users to prepare test cases and test data prior to testing in UAT and Mock Run environment

Manage project change request approval windows and deployment schedule

Facilitate and provide technical and testing support before and after production deployment

Liaise with other units across IT and Business in the organization

Manage external vendors for project delivery within schedule

Requirements:

More than 10 years assuming techno functional role in compliance technology(preferred) or risk/finance technology

At least 8 years of experience in application and process design

Ability to multitask effectively and handle large amounts of data

Moderate SQL skills are required

Highly driven, pro-active and a strong team player

Excellent interpersonal skills and written and verbal communication skills in English

Good to have:

Experience in Hadoop ecosystem and technologies

Experience in NoSQL database or Big Data

Experience in Git, Jenkins, JIRA

Experience in SharePoint and Confluence

Experience / knowledge in Unix Shell Scripting, Oracle, Java and Python, Spark

Key domain/skills:

Experience in Banking Compliance

Experience in AI Machine Learning

Experience in Application Development, System Implementation and Integration

Raffles Place

9AM to 6.30PM Monday to Thursday, and 9AM to 5.30PM Friday

Key Responsibilities

Presentation & Communication Support

• Develop and maintain high‑quality PowerPoint decks for project finance updates, business cases ROI calculations, and stakeholder discussions
• Help structure slides to clearly present financials, analysis, progress, and key messages
• Draft clear and concise written materials such as summaries, trackers, meeting notes, and follow‑ups
• Support senior team members in preparing materials for steering committees and senior stakeholders

Financial & Analytical Support

• Support quantitative analysis, including:

• ROI and cost‑benefit calculations
• Basic financial modelling and scenario analysis
• Tracking of key financial metrics, project value case metrics and project success KPIs

• Assist in validating numbers, assumptions, and calculations used in presentations and reports
• Translate analytical outputs into clear insights and visuals

Stakeholder Coordination

• Work with multiple stakeholders across business, technology, finance, and vendors to gather inputs and clarifications
• Support coordination of meetings, agendas, actions, and follow‑ups
• Help ensure alignment by tracking decisions, dependencies, and action items

Project & Program Support

• Support day‑to‑day project activities such as:

• Maintaining trackers and timelines
• Monitoring risks, issues, and dependencies
• Preparing status updates and reports

• Work closely with both technical teams and business users to support delivery activities
• Escalate issues or gaps to senior team members where needed

Requirements

• Minimum 5–10 years of experience

• Degree in mathematics, finance, economics, engineering, data, or a related quantitative field
• Strong PowerPoint, project finance, ROI analysis and stakeholder management experience, preferably from banking, consulting or large scale transformation environments.

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the role

We are seeking a Salesforce Data Analyst to support large-scale system integration projects involving Salesforce and multiple external systems.

You will start by assisting in data mapping and integration work between Salesforce and APIs (e.g. MuleSoft), gaining hands‑on exposure to how data flows across systems. This includes understanding Salesforce data models, integration payloads, and transformation logic.

You will also support testing activities (SIT/UAT) and work closely with experienced consultants across Salesforce, integration, and functional teams.

Over time, this role can evolve into a Business Analyst or Developer track, depending on project needs and your interests.

This role is suited for individuals who are detail-oriented, structured, and proactive, and who are interested in understanding how enterprise systems connect and operate end‑to‑end.

Responsibilities

Data Mapping & Integration Support

• Work closely with functional, integration (MuleSoft) and data migration teams to support end‑to‑end delivery.
• Assist in mapping data between Salesforce objects and external systems via APIs.
• Analyse field definitions, data structures, and relationships across systems.
• Support the documentation of data templates, mappings, transformation logic and integration requirements.
• Work with senior consultants to clarify data inconsistencies, edge cases, and validation rules.
• Review API payloads (JSON/XML) to understand how data is exchanged between systems.
• Perform data patching when required.
• Maintain clear and well-structured documentation such as data mapping sheets, integration specifications (functional level), test scenarios and results.

Requirements & Functional Support

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Testing & Quality Assurance

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Requirements

Must have skills and experience

• Interest in data, systems, or integration work.
• Strong attention to detail and ability to work with structured information.
• Ability to analyse and compare data across different sources.
• Good logical thinking and problem-solving skills.
• Able to follow through on tasks and track details consistently.
• Comfortable working with multiple teams and stakeholders.

Good to have

• Basic understanding of databases, data structures, or APIs.
• Familiarity with JSON, XML, or Excel-based data mapping.
• Exposure (academic or internship) to system integration, business analysis, or testing.
• Interest in Salesforce, cloud platforms, integration or enterprise systems.

Ways of working

• Work collaboratively within an agile, sprint-based build delivery environment.
• Learn by supporting senior consultants.
• Take ownership of assigned data mapping and testing tasks, ensuring accuracy and completeness.
• Communicate proactively on progress, issues, and dependencies.
• Be comfortable working with detailed, structured tasks that require consistency and attention.

Success measures

• Produce accurate and complete data mapping documentation with minimal supervision.
• Understand Salesforce data models and basic integration flows.
• Support testing cycles with minimal errors in data validation.
• Proactively follow up on issues and close assigned tasks.
• Communicate clearly and build working relationships across teams.
• Demonstrate reliability, attention to detail, and ownership in day‑to‑day work.

Education

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

• Bachelor's degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field.
• Minimum of 3 years of demonstrable experience as a Systems Analyst in IT systems delivery projects.
• Knowledge and experience in the following technological areas will be advantageous:

o J2EE-based solution & development for WebSphere/Weblogic Application Servers and Oracle/MSSQL Database Servers.

o .NET based application development, including thick client C# application development

o Understanding of event-based architecture and microservices

o CI/CD practices and tools

o Domain Knowledge in National ID Cards, E-Passports, Biometrics, Smart Cards, Immigration Clearance Gates.

• Proven experience working on enterprise-level projects with complex business processes and integrated systems.
• Ability to conduct technical assessments, analyze system architectures, and translate business needs into technical specifications.
• Strong understanding of Software Development Life Cycle (SDLC) and various methodologies
• Relevant certifications such as Agile SCRUM Master/Product Owner is advantageous.

Responsibilities：

• Take full ownership of the comprehensive data analysis for core game products.
• From business and product perspectives, leverage data to identify game issues and bottlenecks, deliver actionable insights, and drive game optimization initiatives.
• Track the progress of A/B experiments, ensure the reliability and validity of experiment results, and provide targeted recommendations for product iteration.
• Apply machine learning algorithms to analyze user behavior data, optimize the user lifecycle funnel, and achieve user growth targets.
• Institutionalize analytical frameworks and methodologies, and deliver analysis templates or requirements for data products

Qualifications：

• Bachelor’s degree or above in Computer Science, Mathematics, Statistics, Economics, Finance, Physics, Communications Engineering or related disciplines.
• Proficiency in full-spectrum SQL skills, especially window functions; ability to apply common machine learning algorithms in Python/R to solve modeling problems.
• Solid foundation in statistics, with a clear understanding of the application of statistical methods in A/B experiments.
• Exceptional self-motivation, self-learning capability, logical thinking, and the ability to solve problems independently.
• Passion for games and data analysis work; strong data sensitivity and analytical insight; excellent teamwork and communication skills

We specialize in global casual games. As we undergo rapid business expansion, we have multiple openings available and are actively seeking top-tier talent across the industry!

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

Responsibilities:

• Will be responsible for the gathering of requirements, process modeling and preparation of the requirement specifications.
• Will play the role of the communicator between the end-users, the solution team and vendor.
• Will be responsible for preparation of test scenarios and integrated testing before user acceptance testing.
• Will be responsible for planning, managing assigned projects or enhancements’ timeline and vendor management.

Requirement

• Minimum 4 years’ experience in Business Analyst role, preferably with insurance domain.
• Have knowledge and experience in SDLC cycle and implementation.
• Experience with Java and other internet technologies will be advantageous.
• Good analytical and listening skills.

Interested applicants, Please send your updated resume in Word format to hres@itcspl.com

Please indicate Job Code "Technical Business Analyst - 101" on email subject

We regret that only shortlisted candidates will be notified.

Bacalso John Bryan Bedayo (Reg No. R1106648)

IT Consultancy & Services Pte Ltd

EA No: 92C5311

Please visit www.itcspl.com to learn more information about ITC

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit www.gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Your role and responsibilities

• Will be part of the development team building and enhancing key components for QRT.
• A role with potential to cover many aspects of electronic and algorithmic trading, back testing, data management and risk management systems.
• You will work with traders and quants to roll-out, support and run strategies.
• You will build and support the trading framework software.
• You develop & support related data feed applications.
• You support various ad-hoc infrastructure applications, processes, and databases.

Your present skillset

• Bachelors or Masters’ degree in quantitative discipline from top global university.
• Previous work experience in the front office, market making experience is advantageous .
• Strong analytical skills, attention to details.
• Strong OO languages such as Python/C++ and an interest to expand your technical skills.
• Strong team-player

about the company.

A prominent global technology services firm recognized for driving digital transformation across various industries.

about the job.

Step into a pivotal technical role where you will design and implement robust, secure modern infrastructure landscapes to support enterprise applications.

• Create comprehensive technical documentation for system architecture blueprints and maintain governance records.

• Build, configure, and manage scalable deployment and production environments leveraging automated configuration tooling.

• Develop, monitor, and optimize continuous deployment models incorporating advanced security scanning pipelines.

• Facilitate integration protocols with third-party networks and upstream vendor environments.

• Deploy core system operational strategies, including centralized logging framework architectures, telemetry metrics, and data recovery plans.

skills and experience required.

• Fundamental competency with open-source operating system environments and command-line interfaces.

• General knowledge of enterprise networking topologies, protocol suites, and cloud access controls.

• Ability to develop automated scripts for utility orchestration and task optimization.

• Conceptual knowledge of platform automation systems and environment provisioning frameworks.

• Familiarity with code validation, build pipelines, and automated release cycles.
  esponsibilities: As a Technology Architect Analyst, you will:

  Document architecture designs and maintain up-to-date records.

  Setup and maintain development and production environments using Infrastructure as Code

  Setup and maintain DevSecOps pipeline

  Support external integration activities

  Implement system operations capabilities; e.g. logging & monitoring, backup & restore

  Train the client on above

  Requirements:

  Basic understanding of Linux

  Basic understanding of networking & security concept

  Basic scripting

  Basic knowledge of Infrastructure / Configuration as Code (Terraform and Ansible preferred)

  Basic familiarity of CI/CD tools

  Basic knowledge of AWS

  Comments for Suppliers:

  Prefer local candidates

  working location: Suntec Office/ Bedok

Please click on the 'apply' button to apply online. For more information, please reach out to Vievien Nathan . (EA: 94C3609 / R1440037)

• Develop and maintain enterprise reporting solutions and business intelligence dashboards for insurance operations. 

• Analyze insurance data across policy, claims, underwriting, customer, finance, actuarial, and regulatory domains. 

• Design and deliver interactive dashboards, reports, and analytics solutions using Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

• Work with business stakeholders to understand requirements and translate them into data-driven insights. 

• Develop KPI dashboards covering premium growth, loss ratio, claims performance, underwriting profitability, customer analytics, and operational metrics. 

• Build and optimize data models, reporting layers, and self-service analytics capabilities. 

• Work with Microsoft Fabric components including Lakehouse, Data Warehouse, One Lake, Dataflows Gen2, Semantic Models, Notebooks, and Pipelines. 

• Support data integration, data warehousing, ETL/ELT processes, data quality, reconciliation, and governance initiatives. 

• Collaborate with underwriting, claims, actuarial, finance, risk, compliance, and technology teams. 

• Minimum 3 years of experience in Data Analytics, Business Intelligence, or Reporting. 

• Hands-on experience in to BFSI domain  

• Strong experience with Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

•  Strong SQL development skills with experience in query optimization. 

• Good understanding of Data Warehousing, Data Modeling, ETL/ELT, and Data Governance concepts. 

• Experience with Azure Data Services and cloud analytics platforms. 

• Knowledge of KPIs such as GWP, NWP, Loss Ratio, Combined Ratio, Claims Leakage, Claims Turnaround Time, and Customer Retention Metrics. 

• Experience with Python, Spark, Databricks, or Machine Learning will be an added advantage. 

• Relevant certifications in Power BI, Microsoft Fabric, Azure Data Engineering, Tableau, Qlik, or Insurance domain are preferred. 

. 

• CAT-1 cleared/eligible candidate is required for this role.
• Possess a degree in Computer Science/Information Technology or related fields.
• Experience in data warehouse or data mart operations.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks by SLA (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient inOracle PLSQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.
• Possess investment data domain knowledge.
• Good problem solving and logical thinking.

Role Overview:
We are looking for a Principal Systems Analyst, Data Platform to support the stability, modernisation, and continuous improvement of enterprise data platforms. The role will oversee data platform operations, release management, performance monitoring, service improvement, and governance across data warehousing, ETL pipelines, analytics environments, and cloud-based platforms.

The successful candidate will play a key role in driving platform modernisation, including cloud adoption, AI-driven automation, CI/CD implementation, and scalable analytics solutions. This role will also provide technical leadership, mentor team members, and work closely with stakeholders to ensure data platforms remain secure, reliable, compliant, and aligned with business needs.

Key Responsibilities:
1) Operations & Service Management

• Oversee the stability, scalability, and reliability of enterprise data platforms.
• Ensure smooth integration of data warehousing, ETL pipelines, and analytics environments.
• Act as the subject matter expert for troubleshooting and resolving complex data platform issues.
• Monitor platform performance, availability, and capacity to identify and mitigate operational risks.

2) Service Improvement & Strategy

• Evaluate existing data platform capabilities and recommend improvements to enhance performance and efficiency.
• Drive modernisation initiatives, including cloud-native services and AI-driven automation.
• Align data platform strategy with organisational goals for digital transformation and advanced analytics.
• Identify opportunities to improve platform operations, automation, governance, and user adoption.

3) Release, Change, Performance & Availability

• Manage release cycles, upgrades, and change requests across data platform components.
• Implement and support CI/CD pipelines to streamline deployments and reduce downtime.
• Monitor platform performance, availability, and capacity trends.
• Proactively identify risks and recommend improvements to platform resilience and reliability.

4) People & Technical Leadership

• Provide technical leadership and mentorship to analysts, engineers, and consultants supporting the data platform.
• Collaborate with cross-functional teams to ensure platform solutions meet business and operational needs.
• Lead stakeholder workshops and training sessions to improve data literacy and platform adoption.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

5) Governance, Risk & Compliance

• Ensure compliance with data governance frameworks, privacy regulations, and industry standards.
• Establish and maintain documentation, audit trails, and policies for platform operations and automation workflows.
• Identify and mitigate risks relating to data integrity, platform reliability, security, and compliance.

Requirements:

• Strong experience in systems analysis, SQL, data warehousing, data platforms, and business intelligence tools.
• Hands-on experience with BI tools such as Qlik, Tableau, or Power BI.
• Proficiency in Python, machine learning concepts, and MLOps practices for scalable analytics solutions.
• Experience with RPA tools such as UiPath and Microsoft Power Platform, including Power Automate, Power Apps, and Microsoft Fabric.
• Strong understanding of ETL, data modelling, and data governance frameworks.
• Exposure to CI/CD pipelines and cloud data platforms such as Azure Synapse, AWS Redshift, or Google BigQuery.
• Excellent communication, stakeholder management, and data storytelling skills.
• Healthcare domain experience will be advantageous.
• PMP or Scrum Master certification will be advantageous.
• Experience in AI/ML-driven automation and advanced analytics use cases will be advantageous.

Preferred:

• Healthcare domain experience
• PMP or Scrum Master certification
• Experience in AI/ML-driven automation and advanced analytics use cases