Senior Data Analyst - Hybrid, Data Quality & Insights

Emapta; Metro Manila; Hybrid; PHP 800,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work arrangement

HMO coverage with free dependent upon

Salary Advance Program

Office in Makati

Gym access (24/7)

Emapta Academy upskilling

Employee referral incentives

Annual leaves with cash conversion

Government and Emapta benefits

Career growth opportunities

Job summary

Emapta is hiring a Business Data Analyst to turn complex data requirements and source systems into engineering-ready solutions. You will strengthen data quality and analytics while supporting global stakeholders in a hybrid role based in Makati.

You will document data mappings, translate business rules, profile data quality, and collaborate with Data Engineers, Data Scientists, and business users. This role offers a strong growth track, competitive salary, and a vibrant, inclusive workplace

Qualifications

• 4+ years of experience as a Business Analyst, Data Analyst, or similar hybrid role, including data discovery, profiling, and source-to-target mapping for a data platform, warehouse, or lakehouse environment
• Experience translating business rules and stakeholder requirements into structured, engineering-ready documentation, including requirements specifications, data dictionaries, and mapping documents
• Experience facilitating stakeholder workshops and eliciting requirements from both technical and non-technical audiences
• Working knowledge of relational data modeling, ETL/ELT concepts, and data-quality dimensions, including completeness, accuracy, consistency, and timeliness, sufficient to profile and assess source data credibly
• Experience working within an Agile/Scrum delivery model, including sprint ceremonies, shared backlogs, and a shared definition of done
• Strong cross-functional communication skills, with the ability to collaborate effectively with engineering teams and non-technical business stakeholders

Responsibilities

• Inventory and document the organization's source systems and data flows to establish a current-state baseline for connectivity, access, and data flow across each business domain
• Profile data quality, completeness, volume, and anomalies across data sources in partnership with the Data Scientist to establish and maintain data-health baselines
• Document current-state business processes and data-handling workflows to inform schema, pipeline, and validation-rule design
• Own source-to-target field mapping and business-rule mapping for assigned data domains, and partner with Data Engineers to translate requirements into schema and pipeline design
• Translate business rules and priorities set by Data Owners/Stewards into clear, testable requirements for the engineering team
• Maintain and evolve the enterprise data dictionary and mapping documentation, and drive review and sign-off with Data Owners/Stewards and the Data Architect
• Partner with Data Engineering, source-system owners, and Data Owners/Stewards to provide test evidence, reconciliation support, and process-acceptance sign-off ahead of releases
• Support quality-assurance checks and reconciliation reports across data domains in partnership with the DataOps Lead
• Flag data-quality exceptions and business-rule gaps identified during discovery, mapping, or reconciliation, and drive resolution with the relevant Data Owner or engineering counterpart
• Gather and document reporting and self-service analytics requirements from business users and domain owners
• Define access and security requirements for each domain with the Data Architect, including data visibility requirements, to inform role-based and row-level access design
• Contribute the business-user perspective to the design of dashboards, reports, and reporting tools built on the data platform
• Hold accountable and responsible ownership, alongside Data Owners/Stewards, for discovery, profiling, and data-mapping decisions under the team's governance and RACI model
• Act as the day-to-day liaison between business stakeholders, including Data Owners and functional partners across the organization, and the engineering team to clarify intent and surface open questions early
• Support governance-charter and data-entry-standard adoption across source systems by documenting the business rules those standards must enforce
• Collaborate closely with the Data Engineering Lead, Data Scientist, and DataOps Lead to align discovery, quality, and delivery work with one shared backlog and one definition of done

Skills

SQL

Data profiling

Agile/Scrum

Stakeholder workshops

Data modeling

Jira

Confluence

Power BI

DBML

draw.io

Tools

Jira

Confluence

DBML

draw.io

Power BI

Job description

Emapta is hiring a Business Data Analyst to turn complex data requirements and source systems into engineering-ready solutions. You will strengthen data quality and analytics while supporting global stakeholders in a hybrid role based in Makati.

You will document data mappings, translate business rules, profile data quality, and collaborate with Data Engineers, Data Scientists, and business users. This role offers a strong growth track, competitive salary, and a vibrant, inclusive workplace