17 Databases jobs in the Philippines
Retail Data Modeling Analyst
Posted today
Job Viewed
Job Description
- REQ
- 26/08/2025
- Customer Journey
- Makati City, Filipijnen
- ING Hubs
ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.
At ING, our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them.
ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking
Job Profile
As a Data Modeling Analyst, you will help ING bank Australia on its mission to deliver high quality data across multiple business domains (incl. Retail, Wholesale, Risk and Finance) to leverage advanced analytics capabilities on the Neo data platform. You will be responsible for unifying the ingested data from various sources, modeling business concepts and logical and physical data models to build and enhance foundational, integrated and consumer aligned data products required for prioritized initiatives. Net to this, collaboration with other tribes on topics related to data and data management and design thinking is a key element in the job.
As a Data Modeling Analyst, you:
You solve data challenges and perform intricate data analysis in a comple
- environment.
You collaborate with Business Data Owners, Data Stewards, Architects and Stakeholders to elicit, e
amine, understand, and refine their data requirements.
You create conceptual, logical and physical data models and data mappings based on requirements.
- You create functional design for data solutions. Within, but not limited to Reporting and Analytics.
- You support process control standards in ING related to Metadata and Data Management.
- You work well with data engineers to ensure seamless integration work.
You perform functional testing and validation to ensure correctness and data quality.
You support defining requirements for Data Quality, Data Lineage and Data Governance.
You give and ask for constructive feedback.
- You ensure compliance with ING's policies and standards.
You might be the one that we are looking for if:
- A university (Bachelor's/Master's) degree
You have a 7+ years of e- perience working in Data Warehousing / Engineering preferably in Banking industry.
At least two years of e- perience designing and delivering data engineering solutions with PySpark in Azure
End to end e- perience on data pipelines using on-premises or cloud-based (preferably AZURE) data platforms.
Intermediate understanding and e- perience around Data Management, Data Mesh / Data Products, Data modeling techniques, Data Architecture, Data Mapping, Data Profiling with Agile way of Working.
Advanced knowledge and hands-on e- perience with SQL on Data Warehouse, Big Data. - Self-starter with a good ability to work in a global team across various locations.
- Knowledge on basic banking concepts is a plus particularly on Retail Banking.
- You are a strong analytical and abstract thinker.
- You are result oriented with an ability to find ways of solving or pre-empting problems.
- You can communicate effectively across persons with different skillsets and seniority levels.
- You are passionate for learning and knows to ask the right questions in coming up with business requirements.
- You are a team player – eager to learn and can coach others.
- You are an energetic & approachable professional.
- You share and adhere to the ING values of honesty, prudence, and responsibility.
If you'd like to work with:
Data Management E
- perts
- Data Modelers
Financial E- perts and Stakeholders - Actively collaborating within the Data Management space
If you want to:
- Work in Makati
- Enjoy competitive compensation and allowances.
- Be part of a diverse, creative, and energized team
Your place of work
Eplore the area
Questions? Just ask
ING Recruitment team
Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.
SAP BW on HANA Data Modeling
Posted today
Job Viewed
Job Description
Role : SAP BW on HANA Data Modeling & Development
Location : Taguig, Uptown Bonifacio Tower 2
Work Type : daily Onsite
Work Shift : 7am to 5pm PHT
Job Description:
Must have :
SAP BW4HANA (Planning Modules)
SAP ABAP (Badi, Routine, debug, code enhance)
Analysis for Office (Development and enhancement)
Application Development /Enhancement Experience
Good to have:
SAP BPC embedded
Must have and Good to have skills: ABAP for BW
Note :
Interested candidates feel free to share your updated resume to
Data Analytics and Modeling Manager
Posted today
Job Viewed
Job Description
About the Role
We are a global professional services company, looking for a Data Analytics and Modeling Manager to join our Sales Excellence team. This team empowers sales and operations to optimize deals, improve performance, and drive business growth through intelligent data analysis and modeling.
As the Data Analytics and Modeling Manager, you will transform complex data into meaningful business insights that guide strategic decisions. You will lead a team focused on analytics, data visualization, and process improvement while collaborating with operations to deliver user-friendly and actionable solutions.
Key Responsibilities
- Collect and process data from various business functions such as Sales, Marketing, and Finance
- Analyze large datasets to identify trends, correlations, and insights for business decision-making
- Communicate analytical findings clearly to non-technical stakeholders
- Develop and industrialize analytics models, dashboards, and scorecards
- Manage data tools access and monitor system usage
- Lead and mentor a team of analysts to ensure high-quality deliverables
Qualifications
Must Have:
- At least 8 years of experience in data modeling and analysis
- Hands-on experience with Google Cloud Platform (GCP) and BigQuery
- Strong proficiency in SQL or Python
- Experience applying machine learning algorithms to business problems
- Proficiency in data visualization tools such as Power BI, Tableau, or Google Data Studio
- At least 5 years of leadership or managerial experience
- Strong business acumen, analytical mindset, and attention to detail
- Excellent written and verbal English communication skills
Good to Have:
- Background in Data Science or Finance
- Understanding of sales processes and systems
- Familiarity with Salesforce CRMA
- Software engineering knowledge
Data Analytics and Modeling Manager
Posted today
Job Viewed
Job Description
Job Title: Data Analytics and Modeling Manager
Location: Mandaluyong
Salary: 100,000 – 200,000
About the Role
We are looking for a Data Analytics and Modeling Manager who will transform complex data into actionable insights that drive business decisions and performance improvement. The role involves leading data modeling initiatives, developing analytical tools, and supporting leadership with data-driven strategies to boost efficiency and profitability.
Key Responsibilities
- Collect and process data from Sales, Marketing, and Finance functions
- Analyze large datasets to uncover trends, patterns, and opportunities
- Build predictive models, dashboards, and scorecards to support business goals
- Present data insights clearly to stakeholders and senior leaders
- Collaborate with operations teams to design scalable analytic solutions
- Manage data tools, access controls, and usage tracking
Qualifications & Skills
- Minimum 8 years of experience in data modeling and analysis using GCP, BigQuery, SQL, or Python
- Experience with data visualization tools (Power BI, Tableau, or Google Data Studio)
- At least 5 years of managerial or leadership experience
- Strong business acumen, attention to detail, and communication skills in English
- Proven project management background
- Background in Data Science or Finance
- Understanding of Sales processes and systems
- Experience with Salesforce CRMA
- Knowledge of Software Engineering
Data Analytics and Modeling Manager
Posted today
Job Viewed
Job Description
Responsibilities:
• Collect and process data from functions such as Sales, Marketing, and Finance
• Analyze data to develop business insights that support decision making.
• Communicate data insights in a clear and concise manner.
• Work closely with the COE team to develop industrialized solutions.
Qualifications:
Must have:
At least 8 years of experience doing data modeling and analysis work, which may include:
Google Cloud Platform (GCP) and BigQuery
- Applied Machine learning algorithms
SQL or Python
Data visualization tools such as Power Bi, Tableau, Google Data Studio
- Project management experience
- At least 5 years managerial experience/leadership experience
- Strong business acumen and attention to details
- Excellent oral and written communication in English
Data Analytics and Modeling Manager
Posted today
Job Viewed
Job Description
We're Hiring: Data Analytics and Modeling Manager
Location: Onsite – Mandaluyong, Philippines
Salary Range: very competitive
Work Shift: TBA
Only candidates with the legal right to live and work in the Philippines are eligible to apply
Are you passionate about turning complex data into meaningful business insights?
Do you have a strong background in data modeling, AI, and business strategy?
This is your opportunity to join a world-class team driving innovation in sales excellence.
Key Responsibilities
Collect and process data from functions such as Sales, Marketing, and Finance
Analyze data to generate business insights and support decision-making
Build models and scorecards to help leaders understand market trends
Collaborate with operations teams to transform insights into scalable solutions
Manage access to analytics tools and monitor their usage
Must-Have Qualifications
• 8+ years in data modeling and analysis
• Strong skills in GCP / BigQuery, SQL or Python, and Machine Learning
• Proficiency in Power BI, Tableau, or Google Data Studio
• 5+ years of managerial/leadership experience
• Strong business acumen, attention to detail, and excellent English communication skills
Good to Have
• Data Science or Finance background
• Understanding of sales processes & Salesforce CRMA
• Software engineering knowledge
If interested send your cv to with the subject "data analytics role"
Data Analytics and Modeling Manager
Posted today
Job Viewed
Job Description
Data Analytics and Modeling Manager
Work Setup: Onsite in Mandaluyong (to be confirmed)
Work Shift: To be announced
Salary Range: Confidential Depends on experience
Job Summary:
We are looking for an experienced Data Analytics and Modeling Manager who can translate complex data into actionable business insights. The ideal candidate is analytical, detail-oriented, and skilled in identifying trends, patterns, and opportunities using advanced modeling and visualization techniques. This role involves leading a team that generates insights, builds predictive models, and supports data-driven strategies to enhance business performance and decision-making.
Key Responsibilities:
- Collect and process data from various business functions such as Sales, Marketing, and Finance.
- Analyze and model data to identify trends, root causes, and improvement opportunities.
- Apply AI modeling, machine learning, and predictive analytics to test hypotheses and optimize processes.
- Create dashboards and visual reports to communicate insights clearly and effectively.
- Collaborate with operations and technical teams to implement scalable analytics solutions.
- Manage tool access, usage monitoring, and data governance.
- Lead projects, ensuring data integrity, accuracy, and timely delivery of results.
Qualifications:
Must Have:
- Minimum 8 years of experience in data analytics and modeling.
- Hands-on experience with:
- Google Cloud Platform (GCP) and BigQuery
- Machine learning algorithms
- SQL or Python
- Strong proficiency in data visualization tools (Power BI, Tableau, or Google Data Studio).
- At least 5 years of leadership or managerial experience.
- Demonstrated project management capability.
- Excellent business acumen, attention to detail, and communication skills (verbal and written).
Good to Have:
- Background in Data Science or Finance.
- Understanding of sales processes and related systems.
- Experience with Salesforce CRMA or similar analytics tools.
- Exposure to software engineering or automation projects.
Additional Requirements:
- Must not be a job hopper (should have at least 1–2 years tenure per company).
- Must be legally eligible to live and work in the Philippines.
- Must not be a current or former employee of the end client organization.
Job Type: Full-time
Pay: Php130, Php170,000.00 per month
Application Question(s):
- What was your last drawn salary
- What is your expected salary
- Do you currently reside in the Philippines and have the legal right to live and work here?
- How many total years of experience do you have in data analytics and modeling?
- What data visualization tools have you used (e.g., Power BI, Tableau, Google Data Studio)?
- Do you have experience with Google Cloud Platform (GCP) and BigQuery?
- How proficient are you in SQL and/or Python?
- Have you implemented or applied machine learning algorithms in previous roles?
- How many years of leadership or managerial experience do you have?
- Have you managed cross-functional or analytics-related projects?
- Are you familiar with Salesforce CRMA or similar platforms?
- Are you open to working onsite in Mandaluyong on a shifting schedule?
Work Location: In person
Be The First To Know
About the latest Databases Jobs in Philippines !
Data Analytics and Modeling Manager
Posted 4 days ago
Job Viewed
Job Description
Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence.
You are:
An analyst with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes.
You will:
• Collect and process data from functions such as Sales, Marketing, and Finance
• Analyze data to develop business insights that support decision making.
• Communicate data insights in a clear and concise manner.
• Work closely with the COE team to develop industrialized solutions.
Must have:
• At least 8 years of experience doing data modeling and analysis work, which may include:
• Google Cloud Platform (GCP) and BigQuery
• Applied Machine learning algorithms
• SQL or Python
• Data visualization tools such as Power Bi, Tableau, Google Data Studio
• Project management experience
• At least 5 years managerial experience/leadership experience
• Strong business acumen and attention to details
• Excellent oral and written communication in English
Good to have:
• Data Science
• Background in finance
• Understanding of sales processes and systems
• Working knowledge of Salesforce CRMA
• Software Engineering
Risk Modeling Lead/Data Scientist
Posted today
Job Viewed
Job Description
Responsible for advanced analytics and modeling initiative within the company's Risk Management. She/ He will be responsible for developing and enhancing score models across multiple risk areas using traditional methods as well as new AI/ML techniques. Working with the tech team she/he will lay out the ML ops pipelines and structure for rapid rollout and automated monitoring of models.
Technical Skills Required:
• Advanced quantitative degree (Masters or Ph.D. in computer science, mathematics/statistics, engineering, or financial engineering) would be a plus.
• Experience in developing or managing development teams creating scorecards and models for risk management particularly in the areas of credit risk – application, collections, portfolio management etc.
• Experience in retail banking – especially unsecured credit.
• Experience in the use of machine learning methods such as Gradient Boosting, NLP as well as traditional methods such as Regression, Decision Trees etc.
• Experience as well as in-depth knowledge of the Python programming language, SAS Enterprise, R and substantial knowledge of big data platforms such as Hive and Hadoop.
Data Analysis and Statistical Modeling Associate
Posted today
Job Viewed
Job Description
Job Title: Data Analysis and Statistical Modeling Associate
Division:
Advisory, Data Analytics
Summary of the Role:
The Data Analysis and Statistical Modeling (DASM) Associate is responsible for observing trends and patterns in data and in developing and implementing statistical models for data analytics projects and use cases in a professional services firm. As a key member of the Data Analytics Practice, The DASM Associate will be expected to collaborate in optimizing the use of data analytics technologies and methodologies for engagements in the following areas:
Internal Audit and Risk Consulting
Compliance and Regulatory Consulting
Process Quality Management
Transactions Advisory
Digital Trust Services
Digital Transformation
Audit
Taxation
The DASM Associate will be working alongside the other members of the Data Analytics Practice comprised of data analysts, business analysts, data visualization specialists, and data engineers in gathering, processing, and analyzing data to build statistical models that can be used to predict future outcomes, identify trends, and make business recommendations.
Primary Responsibilities:
Develop organized methods for the experimentation and analysis of datasets to identify patterns and trends in the data, draw correlations from different patterns in the data, extrapolate likely outcomes, or estimate the effect of various possible decisions on a given metric or outcome.
Develop and implement statistical models for data analytics projects.
Work with business analysts and project teams to understand business problems and develop solutions involving statistical modeling and data science.
Communicate results of analysis to project team leaders and stakeholders clearly and concisely.
Stay up to date on the latest trends in data science and machine learning.
Qualifications:
Bachelor's degree in Statistics or a related field.
Strong understanding of statistical concepts and principles essential for understanding the relationships between different variables in a data set and identifying the factors that drive outcome changes. This will include fundamental concepts such as probabilities, sampling, hypothesis testing, tendency and distribution of data.
Knowledge of statistical techniques to build models (e.g., time series analysis, linear regression, logistic regression, decision trees, random forests, etc.).
Excellent communication and presentation skills.
Possessing the following additional competencies is an advantage:
o Background in Risk Modeling and Validation.
o Background in data mining and machine learning techniques.
o Strong programming skills in Python, R, or other statistical programming language.
o Background in the following technology stack:
Power BI Power Automate Power Query Alteryx Tableau