Business Data Analyst

Hammerjack Pty Ltd; Philippines; Hybrid; PHP 850,000 - 1,200,000; Full time

Benefits offered by this job

Competitive Salary Package

Day Shift Schedule

Hybrid work arrangement

HMO coverage with free dependent upon

Office in Makati

Salary Advance Program

Emapta Academy courses

Office gym access

Lifestyle perks

Employee referral incentives

Government benefits

20 annual leaves

Job summary

Emapta invites a skilled Business Data Analyst to translate complex data requirements into engineering-ready artifacts. You will profile data quality, map source-to-target datasets, and work with data engineers in an Agile environment to deliver reliable analytics solutions for global stakeholders.

You will collaborate across teams, document data dictionaries, and enable dashboards with BI tools like Power BI while applying strong cross-functional communication.

Qualifications

• 4+ years as a Business/Data Analyst or similar hybrid role involving data discovery and profiling.
• Translates business rules into clear, engineer-ready specs and data dictionaries.
• Facilitates stakeholder workshops and elicits requirements from technical and non-technical teams.
• Knowledge of relational modelling, ETL/ELT concepts, and data-quality dimensions.

Responsibilities

• Inventory and document source systems and data flows for current-state baselines.
• Own source-to-target mapping and translate requirements into schema and pipelines.
• Collaborate with engineers to validate data and ensure quality during releases.
• Define access controls and support dashboard and BI enablement.
• Partner with Data Owners/Stewards to maintain the data dictionary and governance.

Skills

Data profiling

Stakeholder workshops

SQL

Agile/Scrum

Cross-functional comms

Tools

DBML

draw.io

Power BI

Jira

Confluence

Job description

Turn Complex Data Into Decisions That Move Business Forward

Build the data foundations behind smarter business decisions. Join as a Business Data Analyst and turn complex requirements, source systems, and data flows into trusted, engineering-ready solutions. Your expertise will strengthen enterprise data quality and analytics while supporting global stakeholders. Bring top 1% talent to a top 1% experience designed for lasting growth, balance, and impact.

Your Career Snapshot

• Employment Type: Full-time
• Shift: Day Shift, Weekends Off
• Work Setup: Hybrid, Makati

Exciting Perks Await!

• Competitive Salary Package
• Day Shift Schedule
• Hybrid work arrangement
• HMO coverage with free dependent upon regularization
• Prime office location in Makati (Easy access to MRT stations, restaurants, and banks)
• Salary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.)
• Unlimited upskilling through Emapta Academy courses (Want to know more Visit: https://emapta.com/training-calendar/)
• Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!
• Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)
• Unlimited opportunities for employee referral incentives across the organization
• Standard government and Emapta benefits
• Total of 20 annual leaves to be used at your own discretion (including 5 credits convertible to cash)
• Fun engagement activities for employees
• Mentorship and exposure to global leaders and teams
• Career growth opportunities
• Diverse and supportive work environment

The Qualifications We Seek

Required Qualifications & Experience

• 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

Technical Skills & Tools

• Direct, hands-on familiarity with the team's core data platform, with the ability to explore and validate data independently rather than rely solely on secondhand reporting
• Proficiency in SQL, with the ability to independently query and profile data across operational and analytical data stores
• Experience with Lakehouse and warehouse platforms, with the ability to navigate layered data architectures, such as raw, cleansed, and curated layers, to inspect and validate data
• Experience with data modeling and documentation tools, such as DBML, draw.io, or equivalent, for source-to-target mapping and schema documentation
• Familiarity with business intelligence tools, report and dashboard consumption, and semantic models, such as Power BI or equivalent, to translate reporting requirements into platform-ready specifications
• Familiarity with core operational systems, such as HR/HCM, CRM, client management, or similar source systems, sufficient to understand data origin and business context
• Familiarity with project and delivery tools, such as Jira and Confluence or equivalent, for backlog, requirements, and documentation management

Your Daily Tasks

Discovery & Data Profiling

• 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

Requirements Translation, Mapping & Documentation

• 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

Data Quality, Testing & Acceptance

• 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

Reporting & Business Intelligence Enablement

• 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

Governance & Cross-Functional Collaboration

• 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

Join Emapta, recognized as one of HR Asia's Best Companies to Work For in Asia 2025 and winner of Inspiring Workplaces Australasia 2026. With a 50/50 gender ratio and a culture rooted in care and empathy, you'll feel valued from day one. We're committed to growing talent and setting you up for success.

Be part of a team that showcases Filipino excellence to the world. With over 30 offices across 11 countries and 1,200+ clients, you'll create real impact every day-whether you work from home or on-site. Our 100% virtual recruitment process makes it easy to get started.

At Emapta, you're not just joining a company-you're becoming part of a thriving community of 12,000+ professionals growing careers with purpose. And behind every partnership we build is a deep respect for people and the impact they make.

We place integrity at the heart of everything we do and truly value the human experience. That's why, for clients, it's a profound and transformational process that gives them the opportunity to achieve the business growth they desire.

Tim Vorbach, CEO

#EmaptaEra