Business Insights and Analytics Manager (CIT)

Trends Group, Inc.; Makati; On-site; PHP 1,800,000 - 2,800,000; Full time

Job summary

Trends Group, Inc. seeks a Business Insights & Analytics Manager to lead enterprise analytics, turning multi-source data into actionable insights, predictive models, dashboards, and decision-support solutions.

You will lead a team of analytics professionals and partner with Sales, Marketing, Client Support, Operations, and Data Engineering to promote AI, machine learning, and modern data practices across the organization.

Qualifications

• Bachelor's degree in CS, Data Analytics, Business, Statistics, or related field.
• 6 to 8 years of experience in Data Analytics, BI, Data Science, or related roles.
• 2 to 3 years of supervisory or team leadership experience.
• Experience in a B2B/B2C corporate environment with enterprise sales cycles.
• Advanced proficiency in SQL and data visualization platforms (Power BI/Tableau).

Responsibilities

• Define and drive the enterprise data analytics roadmap aligned with business priorities.
• Lead and develop a high-performing team of data analysts and BI professionals.
• Translate complex business questions into scalable analytics and decision-support solutions.
• Present data-driven recommendations to senior management.
• Develop analytics for sales pipelines, revenue forecasting, and pricing insights.
• Lead the design of automated executive dashboards using Power BI and Tableau.
• Promote data governance, quality, and self-service analytics.
• Champion ML and AI-driven analytics for predictive insights.

Skills

Data analytics

Business intelligence

Team leadership

Stakeholder management

Communication

Education

Bachelor's degree (CS/Data Analytics/Business)

Tools

Power BI

Tableau

Snowflake

Databricks

BigQuery

SQL

Python

R

Google Analytics

Job description

Business Insights & Analytics Manager

Trends Group, Inc. | Corporate IT – Enterprise Data & Platforms

Turn enterprise data into insights that shape business decisions.

We are looking for an experienced Business Insights & Analytics Manager to lead our enterprise analytics capability and transform multi-source business data into actionable insights, predictive models, executive dashboards, and strategic decision-support solutions.

You will lead and develop a team of analytics professionals while partnering with business and technology stakeholders across Sales, Marketing, Client Support, Operations, and Data Engineering. You will also champion the responsible adoption of AI, machine learning, self-service analytics, and modern data practices across the organization.

What You'll Do

Analytics Strategy & Leadership

• Define and drive the enterprise data analytics roadmap aligned with business priorities.

• Lead, coach, and develop a high-performing team of data analysts and BI professionals.

• Translate complex business questions into scalable analytics and decision-support solutions.

• Manage analytics projects, priorities, and deliverables across multiple stakeholders.

• Present clear, data-driven recommendations to senior management and business leaders.

Business, Revenue & Customer Analytics

• Develop analytics for B2B sales pipelines, win/loss ratios, deal velocity, sales performance, and revenue forecasting.

• Analyze pricing, discounts, profitability, margins, cross-selling, and upselling opportunities.

• Measure marketing performance using campaign, ABM, funnel, attribution, digital, CRM, and marketing automation data.

• Drive market, customer, competitive, digital, reputation, and social-listening insights.

• Analyze support performance, including ticket trends, MTTR, service bottlenecks, renewals, warranties, and client lifecycles.

• Develop customer health and churn models using product usage, support, and engagement data.

BI, Data & Governance

• Lead the design and maintenance of automated executive dashboards using platforms such as Power BI and Tableau.

• Oversee data architecture, pipelines, and BI tools to support scalable and reliable analytics.

• Partner with Data Engineering and Architecture teams to translate business needs into data requirements.

• Establish and enforce data quality, documentation, privacy, and governance standards.

• Promote responsible use of standardized data models and self-service analytics.

AI & Advanced Analytics

• Champion machine learning and AI-driven analytics for predictive insights and decision support.

• Support statistical modeling and predictive analytics initiatives.

• Design, build, and deploy AI agents that improve organizational efficiency and capability.

• Explore emerging analytics technologies and real-time analytics opportunities.

What We're Looking For

• Bachelor's degree in Computer Science, Data Analytics, Business, Statistics, or a related field.

• 6 to 8 years of experience in Data Analytics, Business Intelligence, Data Science, or related roles.

• At least 2 to 3 years of supervisory or team leadership experience.

• Experience in a B2B/B2C corporate environment, including enterprise sales cycles, contract-based client lifecycles, and marketing funnels.

• Advanced proficiency in SQL for data extraction and manipulation.

• Strong expertise in Power BI, Tableau, or comparable BI and data visualization platforms.

• Familiarity with modern data warehouse environments such as Snowflake, Databricks, and BigQuery.

• Familiarity with Python or R, statistical modeling, and predictive analytics.

• Understanding of machine learning fundamentals, including regression, classification, and clustering.

• Familiarity with AI use cases and tools, including agentic AI development.

• Experience with web analytics tools such as Google Analytics.

What Will Help You Succeed

We're looking for a leader who can:

• Turn complex data into clear business stories and executive recommendations.

• Communicate technical concepts effectively to non-technical stakeholders.

• Manage senior stakeholders with a consultative, solutions-oriented approach.

• Combine strong analytical capabilities with commercial and operational business acumen.

• Lead teams while remaining close enough to the data and technology to provide meaningful technical direction.

Working Conditions

The role may occasionally require work beyond normal business hours, including weekends and holidays, to meet critical project deadlines or urgent analysis requirements.