Senior Business Intelligence Analyst/Developer

Pasig City
International Role - No - Only National applicants will be considered.

*Preferred position location: Manila, Philippines or India where WVI is registered to operate.

*Two positions available.

*Please submit your CV in English.


Perform data analysis and modelling on large datasets at a global-scale, visualization, and analytics for the Partnership Data Capability. Focus on the potential impacts of emerging technologies such as big data, predictive analytics, machine learning, artificial intelligence, mobile, and AR/MR applications.

  • Perform hands-on data analysis and modeling with huge data sets for Partnership Data Capability.

  • Discover data sources, import them, clean them up, and make them “portal-ready”.

  • Create advanced analytic models using statistics, AI, machine learning and deep learning methodologies.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Create and maintain optimal data pipeline architecture.

  • Statistical modeling, model fitting, machine learning, data mining on large datasets.

  • Dive deep into a wide range of data (Horizon, FRSC, VFI, Advocacy, Faith & Development, and Sectors etc.) to identify opportunities and recommend solutions.

  • Research and work with Data Analytics and Architecture teams to implement new technologies that will facilitate better data integrity, reliability, and enrichment of the portal.

  • Run regular tests and statistical analysis, draw conclusions on the accuracy of the data.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL and AWS technologies.

  • Perform ad hoc data mining, exploration, and statistical analyses on complex problem statements.

  • Write ETL pipelines to make data available for training and testing models both offline and in production.

  • Working with Geo spatial and Satellite data and linking to economic indicators.

  • Work with data and analytics experts to strive for greater functionality in our data systems.

  • Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization.

  • Support ongoing technology evaluation process and proof of concept projects.

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.


Project/Work Planning:

  • Lead workstream planning process from inception, technical design, development, testing and delivery of BI solutions.

  • Participate in project management estimation process.

  • Assists in planning, implementation of data identification.

  • Analyze functional business processes and requirement.

  • Manages and plans for BI services.

Business Requirements:

  • Work with business partners to develop and analyze business intelligence needs.

  • Provides input to business requirements and functional specifications for the design and implementation of solution.

  • Interprets business requirements and determines optimum BI solutions to meet needs.

  • Interfaces with business partners to identify and provides input to new technology opportunities that will have an impact on the enterprise wide BI systems.

  • Leads interviews with end users to determine the requirements for data, reports, analyses, training, data quality and performance.


  • May work with Architects to design and develop BI applications/solutions.

  • Analyzes and tests new releases/versions of BI applications/solutions in order to determine rollout schedule, technical compatibility and identify and resolve integration issues.

  • Analyzes, designs, and develops query parameters, layout, filters, and analytics for business solutions.

  • Enhances the performance of business intelligence tools by defining data profiling, data to filter and index that adds value to the user.

  • Designs and develops and optimizes enterprise wide information “views” and custom reports.

  • Provides technical direction for the development of reports keeping usability, security and data integrity.


  • May lead or provide technical direction for the planning, designing, and execution of testing efforts.

  • Develops, executes and documents test plans.

  • Reviews test plans and monitors testing process to ensure that business results are tested.

  • Provides support to test streams.

  • Resolves issues based on test results.


  • Provides adhoc, warranty, and post implementation phase support.

  • Troubleshoots solution outputs.

  • Recommends improvements of BI applications.

  • Optimizes BI applications or performs report and query tuning to improve performance.

  • Supports and helps manage external resources, such as service providers and vendor field support.

Info Quality Assurance:

  • Provides input to the development of information quality metrics.

  • Creates data quality tickets, as needed.


  • Researches tools, frameworks and mechanisms for data analytics.

  • Interfaces with vendors to keep abreast of new technologies, pricing and customer applicability.

  • Participates in vendor evaluations.

Policies, Standards, Procedures:

  • Adheres to current standards.

  • Provides input to policies, standards, and procedure for the form, structure and attributes of the BI tools and systems.


  • Designs and delivers end-user training and training materials.

  • Trains users to transform data into action-oriented information and to use that information correctly.


  • Provides guidance, training, and problem solving assistance to other team members.

  • Mentors less-experienced individuals.



  • 7-10 years of professional industry experience doing quantitative analysis. An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Econometrics, Physics) a plus.

  • Bachelors or MS or equivalent in Data Science / Computer Science/ Information technology/ Statistics/ Applied Mathematics or another quantitative field.

  • Minimum 4+ years of related hands on experience as Data Scientist in real-time projects.

Knowledge & Skills:

  • Has experience with statistical modeling, machine learning, deep learning, optimization and other DS techniques.

  • Has experience in modeling, validating, importing, cleaning and transforming data with the purpose of extracting insights for decision making purposes.

  • Extensive knowledge on Supervised and Unsupervised learning models.

  • Big Data/Data Lake - Should be well versed with Hadoop, Spark, Experience with Cloud based services a plus - Google Cloud, AWS, Azure services used for Data storage and Data ingestion/ transformation like S3, ADF, Glue etc.

  • Prior experience in building and deploying various machine learning models (KNN, Decision Trees, Clustering, Artificial Neural Networks).

  • Prior experience in building statistical techniques (Regression, distributions etc...)

  • Strong analytic skills related to working with unstructured datasets.

  • Expertise in designing and testing experiments.

  • Exposure to Conversational platform like ChatBots (good to have).

Tools & Technology:

  • Experience using statistical computer languages (R, Python, Matlab, etc.) to manipulate data and draw insights from large data sets. Preferred: Strong knowledge of Python and/or Java .

  • Prior experience in working with Machine Learning and Artificial Intelligence methods using Python or R.

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  • Hands on experience in extraction, mining and transformation and presentation of data on various reporting tools like Power BI, Tableau, etc.

Soft Skills:

  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.

  • Hadoop/Spark/Java/AWS or Azure certifications or Data Analytics certifications is an advantage.

Work Environment/Travel:

  • The position requires ability and willingness to travel domestically and internationally up to 20% of the time.