What Jobs are available for Data Analysts in Mandaluyong?

About Deployed

Deployed is an established BPO firm specialising in workforce solutions. We partner with a range of globally minded businesses, from start-ups to large corporations across a range of industries.

Our expert team of recruiters at Deployed will work closely with you to create a career change that challenges, motivates, and excites you. We take the time to understand your ambitions to ensure an effective job match and place you in a business where you'll perform your best. You'll be supported at every step to ensure success- from job searching and placement to a robust onboarding process to ongoing HR, office, and IT support. Deployed is committed to offering you holistic support at every step to ensure you succeed, have the best work experience and a rewarding career.

Tasks and Responsibilities

The Data Mining Specialist is a dynamic role working in a high-performance team environment.

• Focused on searching Google, industry lists, trade groups, industry publications and non-active customers, to provide contact details for the lead generation specialists in Manila.
• Proactive development of new customers and strategic expansion of our brands to maximise market share.
• Utilising the latest in technologies to mine company and contact details for potential users company services

Skills and Qualifications

• Up to 2 years experience is a data mining role, specialising in extracting customer contact data across multiple industry segments
• Proven experience in high performance selling teams / call centers
• Ability to work in a dynamic and changeable environment effectively, with minimal supervision
• Ability to work effectively in a busy and high-pressure team environment
• Demonstrated commitment to quality; ability to prioritise work and meet deadlines and self-motivation

Why you should join our team

Leaves entitlement, HMO and life insurance upon hire

Ready to take on the next challenge? If you're looking for an organisation with outstanding career-development opportunities, amazing work-life culture, and comprehensive benefits crafted to support work-life harmony, you might be a perfect fit at Deployed At Deployed, we truly believe that our team is the core highlight of our brand. With our goal of being a top business partner for our global clients, we take it as a responsibility to build a diverse, inclusive, and growth-oriented work environment where employees of all backgrounds and lifestyles feel a sense of belonging, mutual respect, and kindness.

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:

1. Internal Audit and Risk Consulting

2. Compliance and Regulatory Consulting

3. Process Quality Management

4. Transactions Advisory

5. Digital Trust Services

6. Digital Transformation

7. Audit

8. 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

We are seeking a detail-oriented and analytical Data Analyst to join our iGaming team. This role will focus on collecting, interpreting, and presenting data to drive business decisions and enhance the player experience. The Data Analyst will work closely with the product, marketing, risk, and finance teams to monitor key performance indicators (KPIs), track player behavior, optimize promotions, and ensure compliance with regulatory requirements.

Qualifications:

• At least 2 years of experience in the iGaming industry
• Minimum of 2 years of experience in developing Power BI reports and related functionalities (e.g., DAX)
• Proficient in data wrangling techniques using Python and SQL
• Knowledge of data visualization principles and best practices
• Familiarity with games, providers, and regulated markets in the Philippines
• Strong numerical and analytical skills
• Ability to work with minimal supervision

Job description:

Be part of our growing TEAM

We are looking for goal-oriented individuals to fill in the Utilization Analyst role.

The Data Analyst is responsible for collecting, analyzing, and interpreting healthcare utilization data to support decision-making, improve care delivery, and optimize the use of health services in alignment with the HMO's strategic goals. This role collaborates with medical and account management team.

Duties and Responsibilities

• Develop and maintain Data Analyst reports (e.g., inpatient, outpatient, ER visits, financial assistance, reimbursement etc.) for internal and external stakeholders.
• Analyze data to identify trends, patterns, and anomalies in utilizations.
• Support account management team by identifying highly utilized diseases, high utilizers, etc.
• Prepare monthly, quarterly, and ad hoc reports to monitor performance of accounts.
• Collaborate with IT and sales teams to meet the account's special report requests.
• Provide data-driven insights to support contract negotiations.
• Ensure data accuracy, completeness.
• Conduct root cause analysis on cost drivers and utilization spikes.
• Extract key points and turn it into tables and visuals.
• Organize presentation with clean bullets and summaries.

Qualifications:

• Preferably Medical Allied, BS Math, BS Statistics or any related field
• 2+ years of experience in data analytics, preferably in a healthcare or HMO environment.
• Fresh graduates are welcome to apply
• Proficiency in Excel, and data visualization tools.
• Strong analytical, problem-solving, and communication skills.
• Willing to work in Pasig City, Mondays to Fridays, 8:00-5:00PM

VALUCARE provides our employees with a total rewards package, which includes competitive market benefits:

• Guaranteed leave benefits on your first day
• Guaranteed HMO on your first day
• Performance based bonus
• Life Insurance Coverage
• Health care benefit coverage up to 3 dependents
• Retirement benefits
• Annual Salary Increase
• Birthday Leave
• Profit Sharing
• Uniform Benefit
• Medicine Allowance
• Vitamins Allowance

In VALUCARE, we promote an environment that allows everyone to be at their best and explore their creativity.

Job Type: Full-time

Work Location: In person

Job Types: Full-time, Permanent

Benefits:

• Company Christmas gift
• Company events
• Health insurance
• Life insurance
• On-site parking
• Opportunities for promotion
• Transportation service provided

Application Question(s):

• What's your expected monthly basic salary?
• How much notice are you required to give your current employer?

Work Location: In person

Job Title: Data Analyst – Sales Operations Support

Location: Remote

Reports To: Director, Sales Operations

We are seeking a highly skilled Data Analyst to support our Sales Operations team. This role will be pivotal in transforming data into actionable insights that drive revenue growth, optimize inventory, and reduce operational inefficiencies. The ideal candidate will be an expert in SQL, dashboards, reporting, and leveraging AI tools to accelerate analysis.

In addition, this person will serve as the point person for ERP integrations — collaborating with app development teams, ensuring API connections are functioning correctly, and facilitating smooth system integrations as the business evolves.

Sales & Inventory Forecasting:

• Develop and maintain demand forecasts to ensure optimal inventory levels.
• Identify trends in historical sales, seasonal demand, and product lifecycle.

Business Intelligence & Reporting:

• Build and maintain dashboards that provide visibility into sales performance, inventory health, and operational KPIs.
• Deliver reporting packages to Sales, Finance, and Operations.
• Build new reports and data solutions to support evolving business needs.

ERP Management & Optimizations ):

• Product Data Management
• Act as the primary liaison for ERP integrations, coordinating with internal and external app development teams.
• Ensure APIs are connected and functioning correctly, troubleshooting as needed.
• Query, audit, and optimize ERP integrations to minimize manual processes and improve data accuracy.

Advanced Data Analysis:

• Write complex SQL queries to extract, clean, and analyze datasets.
• Explore and apply AI-powered tools to expedite analysis and improve forecasting accuracy.

• Bachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, or related field.
• 3+ years of experience in data analysis, preferably in consumer products or retail.
• Strong expertise in SQL, BI tools (e.g., Tableau, Power BI, Looker, or similar), and Excel/Google Sheets.
• Experience working with ERP systems preferred, but not required).
• Proven ability to manage integrations and API connections.
• Familiarity with AI/ML tools for forecasting and data automation is a strong plus.
• Excellent problem-solving, analytical thinking, and communication skills.
• Ability to work independently in a remote, fast-paced environment.

Work-from-home setup

Great Place to Work-Certified Company

Premium HMO

Holistic employee experience

Rewards and incentives

Monthly engagement activities

Career advancement opportunities

Paid referral program

Work set-up: Hybrid | 3 days WFH 2 days Onsite | Nightshift

Salary: 60K-80K (depending on skills and experience)

Location: Ortigas East, Pasig City

Job Summary:

We are a world class, diverse team of marketing strategists, developers, analysts, designers, and writers who work as one team to accomplish things the smart way.

We are looking for a data cruncher who enjoys analyzing complex information to turn it into a revenue generating gold mine. The ideal candidate is in their element when interpreting and analyzing data from multiple sources. He or she must possess strong business acumen, as well as the ability to communicate findings to stakeholders and teams.

Duties & Responsibilities:

• Providing operational support with data imports & exports and extraction of key data pieces from various platforms for the purpose of unified report generation.
• Building reports and dashboards across key reporting platforms.
• Supporting the maintenance of data integrity through regular data hygiene reviews and data cleansing tools.
• Supporting workflow processes related to requests for data, trends, and insights.
• Conducting ad-hoc analysis where required.

Qualifications:

• Proven experience as Data Analyst (Marketing) or silimar related roles.
• Must have 3 years of relevant work experience.
• Familiarity with database systems, such as SQL, Salesforce, etc.
• Exposure to marketing platforms, such as HubSpot, Google Analytics, etc.
• Exposure to BI Tools, such as Looker, Power BI, Tableau, etc.
• Knowledge of marketing (B2B preferred, but B2C applies).
• A passion for numbers, analytics, and structured ways of getting things done.
• Proficiency in Windows, Microsoft Office Suite, and especially in Excel.
• Experience with data visualization and building dashboards and custom reports.
• Consistently meet deadlines and problem-solve with strong attention to detail.
• Able to operate independently while picking new tools and translating client requests.
• Clear articulation of your thought-process and interpretation of data.

Hello TechStars

We're looking for a Data Analyst (Data Quality and readiness Specialist) for a pharmaceutical company headquartered in Mandaluyong City.

The Data Analyst will review, validate, and remediate structured data (both financial and non-financial) to ensure accuracy, completeness, and readiness for integration into databases or data lakes. The role involves working closely with cross-functional teams to assess data quality and correct inconsistencies in datasets. The successful candidate must have a solid understanding of data quality principles, data structures, and database management tools, with strong analytical skills and a proactive approach to problem-solving.

Key Responsibilities:

• Data Validation: Review structured data for accuracy and validity, ensuring columns contain the correct data types and values.
• Completeness Check: Identify missing records or incomplete data and collaborate with relevant teams to fill gaps.
• Format Verification: Ensure data is properly formatted and structured, with rows and columns in the correct order.
• Data Remediation: Clean and transform data as necessary to meet quality standards and requirements for database or data lake ingestion.
• Data Quality Analysis: Monitor and report data quality metrics to ensure compliance with internal standards and best practices.
• Collaboration: Work closely with database administrators, data engineers, and business stakeholders to align on data requirements.
• Documentation: Maintain comprehensive documentation of data issues, remediation steps, and validation processes.

Required Skills & Competencies:

• Data Quality Expertise: Understanding of data quality concepts such as data validation, completeness, and consistency.
• Analytical Skills: Ability to analyze large datasets and identify patterns, inconsistencies, and anomalies.
• Attention to Detail: Strong focus on accuracy, completeness, and format to ensure high data quality.
• Problem-Solving Skills: Ability to troubleshoot data quality issues and recommend solutions.
• Communication Skills: Excellent verbal and written communication to interact with technical and non-technical teams.

Experience & Qualifications:

• Bachelor's degree in Data Science, Computer Science, Finance, Statistics, or a related field.
• 2+ years of experience in a data analyst, data quality, or data governance role, preferably with exposure to financial or operational data.
• Experience in data validation, cleansing, and transformation processes.
• Familiarity with ETL (Extract, Transform, Load) processes and data pipelines.

Technical Skills & Tools:

• SQL: Proficiency in querying databases for data validation and extraction.
• Microsoft Excel: Advanced skills in data manipulation, analysis, and reporting.
• Python or R: Experience with data wrangling, cleaning, and analysis using pandas, NumPy, or similar libraries.
• Data Visualization Tools: Experience with tools such as Tableau, Power BI, or similar for reporting data quality metrics.
• Data Integration Platforms: Familiarity with data lakes, cloud platforms (AWS, Azure, GCP), and tools such as Apache Spark or Databricks is a plus.
• Data Governance Tools: Knowledge of tools like Collibra or Talend for managing data quality and governance is preferred.
• Experience with Financial Data (for roles working with financial datasets): Familiarity with financial reporting standards, data taxonomy, or industry-specific data models is an advantage.

Work Environment & Reporting:

This role will report to the Senior Consultant/ Consulting Manager for Financial Services Consulting and will collaborate closely with teams working on different client projects. It offers a dynamic environment with opportunities for upskilling and exposure to new data tools and technologies.

Work set-up:

• 4 days work on-site (Mandaluyong) and 1 day work from home
• Salary is still negotiable depending on skills and experience

Job Type: Full-time

Pay: Php50, Php70,000.00 per month

Work Location: In person

Job Overview:

• You have experience in working in the area of financial or credit risk
• You know SQL very well
• You know how to program very well in SAS (4GL)
• You can interpret data on your own based on the collected information and assumptions
• You have an ability to clearly and succinctly express ideas, facts and opinions and express them fluently both in speaking and writing (also in English language), supported by appropriate tools.
• You know how to identify problems, analyzing key information and making connections, in order to find appropriate solutions.
• You can complete tasks and achieves results in an efficient, timely and high-quality manner, with a focus on execution and delivery of targets and KPIs.

You'll get extra points for:

• Understanding of the credit process at the Bank,
• Experience in working with credit or market risk modeling (PD, LGD, EAD, IFRS9, IRB)
• Ability to analyze and understand the Bank's balance sheet
• Experience in working with Agile / Scrum
• Advanced analytical skills
• Independent, creative and proactive way of thinking
• Ability to question the status quo
• Knowledge of techniques used in business analysis

Additional skills:

• Bash
• GIT/GitLab
• Jenkins
• Confluence

Key Capabilities/Experience

Your Responsibilities:

• preparing data for risk modeling
• data quality analysis
• taking part in tests of data sharing mechanisms
• analysis of internal and external regulations and preparation of functional documentation on this basis
• data analysis and preparation of reports

Information about the squad:

We are looking for specialists/experts to join the Data Labs team to support the processes of building risk models and management reports in the area of finance and risk. We combine knowledge of risk modeling and advanced data processing. We have extensive knowledge of the Bank's processes, which enables us to understand and interpret data for the purposes of modeling and reporting the phenomena accompanying these processes. We work in an international environment, we use English on a daily basis (written and spoken). Our work focuses on data analysis and preparing it for reporting and modeling.

We're looking for a results-driven leader to guide our Ad Hoc Analytics team in delivering high-quality, insightful data solutions. In this role, you'll oversee reporting operations, mentor analysts, and ensure every project is accurate, timely, and impactful. You'll transform raw data into automated reports, interactive dashboards, and compelling presentations using SQL, SSRS, and advanced Excel helping executives and clients make confident, data-driven decisions.

What You'll Do

• Lead, mentor, and support Data Analysts, fostering growth and technical expertise.
• Oversee the development of automated reports and dashboards using SQL, SSRS, and advanced Excel tools.
• Ensure accuracy, consistency, and quality in all reporting processes and stored procedures.
• Present insights to clients and executives using clear, impactful data visualizations.
• Manage reporting requests, set priorities, and track progress against deadlines.
• Keep training materials current and champion best practices in analytics.

What We're Looking For

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field (Master's a plus).
• Proven experience leading analytics or reporting teams.
• Expert-level SQL skills and strong SSRS development experience.
• Advanced Excel skills, including dashboards, pivot tables, and formulas.
• Strong communication and presentation abilities able to translate data into stories.
• A proactive problem-solver with sharp analytical skills and attention to detail.

Job Type: Full-time