Data Analytics Expert

MicroSourcing; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Healthcare coverage on day one

Paid time-off with cash conversion

Group life insurance

Performance bonuses

Job summary

MicroSourcing is seeking a Data Analytics Expert in the Philippines to design and deliver high-quality data solutions for customer projects and internal analytics. The role emphasizes automation, scalable data pipelines, and reusable code, working with a cross-functional team.

You will identify opportunities to automate data uploads, validation, and builds, contribute to DevOps practices, and mentor junior teammates while aligning with our data governance and security standards.

Qualifications

• 3+ years in a commercial environment as a Data Engineer, Data Analyst, or related data professional.
• Strong communication skills to collaborate with the team, stakeholders, and customers.
• Expert SQL with complex scripts and transaction handling.

Responsibilities

• Translate customer requirements into detailed Scopes of Work with estimates and steps.
• Contribute to data product enhancements and remediation across analytics systems.
• Develop and optimize data pipelines for performance and reliability.
• Create reusable code and libraries; collaborate with cross-functional teams.
• Guide onboarding processes with TechOps and Implementations teams.
• Identify risks and issues early and ensure prompt follow-up.

Skills

Advanced SQL

Data Modelling

Relational DBs

Programming: Python

Programming: Java

Shell scripting

Tools

MS SQL Server

Python

Java

JavaScript

TypeScript

PowerShell

Bash

Job description

Discover your 100% YOU with MicroSourcing!

Position: Data Analytics Expert

Location: Philippines

Work setup & shift: Work From Home | Day Shift

Why join MicroSourcing?

You'll Have

• Competitive Rewards: Enjoy above-market compensation, healthcare coverage on day one, plus one or more dependents, paid time-off with cash conversion, group life insurance, and performance bonuses.
• A Collaborative Spirit: Contribute to a positive and engaging work environment by participating in company-sponsored events and activities.
• Work-Life Harmony: Enjoy the balance between work and life that suits you with flexible work arrangements.
• Career Growth: Take advantage of opportunities for continuous learning and career advancement.
• Inclusive Teamwork: Be part of a team that celebrates diversity and fosters an inclusive culture.

Your Role

As a Data Analytics Expert, you will:

This role combines hands-on data work with a focus on automating and improving how we deliver implementation services. The person will develop high-quality data solutions for customers, supporting Services projects as well as data work for the Customer Experience business unit and the wider business. Day to day, this means applying strong technical and problem-solving skills to build solutions that are robust, reusable, and genuinely useful to the people relying on them.

A core part of the role is identifying where implementation activities such as data uploads, configuration, builds, and validation can be automated, whether through existing platform capabilities, AI-based tools, or purpose-built solutions. The data consulting work runs alongside this and feeds into it, giving the person a real understanding of our products and customer environments so they can spot automation opportunities over time.

It's a mid-level technical role that works closely with peers, Implementation Consultants, and other Technical Consultants. Beyond delivery, the person will contribute to our broader data approach and, as they build knowledge, help lift the wider team through guidance, shared learning, and better documentation and processes.

Services & Delivery

Translate customer requirements into detailed Scopes of Work, including time estimates, costing, and implementation steps.

Contribute to technical enhancements and defect remediation across internal and customer-facing data and analytics products, identifying opportunities for innovation.

Develop and optimize data pipelines (where required) for performance and reliability, and work with Internal team and peers to implement and refine data models.

Develop reusable code and libraries and collaborate with cross-functional teams.

Collaborate with TechOps and Implementations teams to develop and improve customer onboarding processes.

Identify and communicate potential problems, risks, and issues early, ensuring prompt follow-up to achieve a favourable outcome.

Adhere to planning, development, and testing processes in line with the Customer/Professional Services project cadence.

Automation & Continuous Improvement

Identify and act on opportunities to automate implementation activities such as data uploads, configuration, builds, and validation, through existing platform capabilities, AI-based tools, or purpose-built solutions.

Contribute to DevOps/DataOps practices, including CI/CD pipelines and automation where needed.

Work with the Manager, Technical Services and Data Consulting, and Implementation Consultants to improve processes, enhance automated capabilities, and refine testing practices.

Contribute to and follow data and analytics processes, standards, and agile testing practices.

Support

Respond to allocated and escalated issues, providing ad-hoc assistance to team members as needed.

Support ongoing product releases and legacy customer integrations in production, ensuring smooth operation and issue resolution.

Perform root cause analysis on major incidents and provide reports to Support for dissemination to customers as required.

Build and maintain a knowledge library so the team has ready access to documented fixes and processes.

Documentation & Quality

Maintain thorough technical documentation and contribute to best practices.

Provide technical review and quality assurance on deliverables produced by other Data Consultants.

Leadership & Collaboration

Coach and mentor junior team members, offering technical guidance, solution advice, and training as required.

Support data governance practices, including data security, protection, and access management within the Quartex data platform, in line with defined security and data protection standards.

What You Need

Non-negotiables

• 3+ years in a commercial environment as a Data Engineer, Data Analyst, or related data professional.
• Strong communication skills, with the ability to collaborate effectively across the team, internal stakeholders, and customers as required. Proactive, detail-oriented, and able to work independently.
• Expert SQL, including complex scripts using DDL, DML, and TCL, advanced queries, indexing, and transaction handling (commit and rollback) for data updates in relational databases.
• Strong data modelling and relational database expertise (MS SQL Server highly desirable), across both OLTP and OLAP uses, with confident use of database objects such as stored procedures, triggers, tables and temp tables, and views.
• Proficient in at least one programming language such as Python, Java, Scala, R, JavaScript, TypeScript, or a .NET language (e.g. C#); shell scripting (PowerShell andBash).

About MicroSourcing

With over 9,000 professionals across 13 delivery centers, MicroSourcing is the pioneer and largest offshore provider of managed services in the Philippines.

Our commitment to 100% YOU

MicroSourcing firmly believes that our company's strength lies in our people's diversity and talent. We are proud to foster an inclusive culture that embraces individuals of all races, genders, ethnicities, abilities, and backgrounds. We provide space for everyone, embracing different perspectives, and making room for opportunities for each individual to thrive.

At MicroSourcing, equality is not merely a slogan – it's our commitment. Our way of life. Here, we don't just accept your unique authentic self—we celebrate it, valuing every individual's contribution to our collective success and growth. Join us in celebrating YOU and your 100%!

For more information, visit https://www.microsourcing.com/

• Terms & conditions apply.