Business Analyst

Dencom Consultancy & Manpower Services; Pasig; On-site; PHP 446,400 - 502,200; Full time

Job summary

Dencom Consultancy & Manpower Services is seeking a highly analytical Business Analyst in Pasig, Metro Manila. You will support data-driven decision-making by extracting, transforming, and analyzing data from various sources to derive actionable insights.

The ideal candidate should possess a graduate degree and ideally 2 years of relevant experience, along with proficiency in data visualization tools such as Power BI and Tableau. This onsite position offers a salary package of PHP 40,000 to PHP 45,000.

Qualifications

• Graduate of any Diploma, Bachelor's Degree, Post-Graduate Diploma, or Master's Degree program.
• Preferably with at least 2 years of relevant experience as a Business Analyst.
• Strong experience in data extraction and transformation across multiple platforms.
• Proficiency in data visualization tools such as Power BI, Looker Studio, and Tableau.
• Strong knowledge of advanced statistical concepts.

Responsibilities

• Extract, transform, and migrate data from various sources to analytics platforms.
• Analyze structured and unstructured data to support business requirements.
• Develop and maintain business intelligence dashboards and data models.
• Apply advanced statistical techniques to interpret data and validate trends.
• Utilize statistical programming languages to manipulate large datasets.

Skills

Data extraction

Data transformation

Data visualization

Statistical analysis

Statistical programming (R, Python, SQL)

Education

Graduate degree (Diploma, Bachelor's, Master's)

Tools

Tableau

Power BI

Looker Studio

Job description

Salary Package: 40,00045,000
Work Schedule: Rotating Shifts
Work Arrangement: Onsite
Location: Pasig, Manila

We are looking for a highly analytical and detail-oriented Business Analyst who will support data-driven decision-making across the organization. The ideal candidate has strong experience in data extraction, transformation, analytics, and visualization, with the ability to translate complex datasets into clear, actionable business insights.

Key Responsibilities

• Extract, transform, and migrate data from various source systems to analytics platforms and reporting tools such as Tableau, Dynamics 365, and others.
• Analyze structured and unstructured data to support business requirements and produce concise visualizations using tools like Power BI, Looker Studio, and other dashboarding platforms.
• Develop and maintain business intelligence dashboards and data models that support critical decision-making.
• Apply advanced statistical techniques (e.g., regression analysis, distribution properties, statistical testing) to interpret data and validate trends.
• Work with and build scalable data architectures, ensuring reliability, accuracy, and optimization of data pipelines.
• Utilize statistical programming languages such as R, Python, SQL, etc., to manipulate large datasets, derive insights, and automate data processes.
• Explore and implement machine learning techniques (e.g., clustering, decision trees, neural networks) where appropriate, understanding their real-world applications and limitations.
• Communicate complex analytical findings in a clear and actionable manner to stakeholders and management.
• Collaborate with cross-functional teams to identify business needs, improve processes, and propose data-driven solutions.
• Maintain a proactive, inquisitive mindset and constructively challenge current processes to drive improvement.

Qualifications

• Graduate of any Diploma, Bachelors Degree, Post-Graduate Diploma, or Masters Degree program.
• Preferably with at least 2 years of relevant experience as a Business Analyst or in a related analytical role.
• Strong experience in data extraction, transformation, and integration across multiple platforms.
• Proficiency in data visualization tools such as Power BI, Looker Studio, and Tableau.
• Strong knowledge of advanced statistical concepts and practical application in business settings.
• Experience working with data architectures and analytics frameworks.
• Familiarity with machine learning techniques and their real-world advantages and limitations.
• Proficiency in R, Python, SQL, and similar statistical programming languages.
• A self-starter with strong initiative, able to work independently with minimal supervision while being an effective team player.
• Excellent verbal and written communication skills in English and the supported markets language (C1 or above).