Senior Product Data Analyst (Publishing Team)

Location

The position is with an international IT company; specific location and work format are not specified.

About the company

A pre-IPO software development company providing full-cycle digital services to enterprises and mid-sized businesses for over 19 years.

It works with major global brands on large-scale projects and values continuous learning and strong resource management.

Responsibilities

• Run the full budgeting and forecasting cycle, including annual budgets, quarterly re-forecasts, and rolling plans, and build long-term planning models for strategic projects and product lines.
• Develop P&L models for business units and services, plan and control payroll and headcount, and manage cost of goods, profitability, and cost efficiency.
• Prepare management reporting and dashboards for top management and the board, and conduct financial analysis of trends, plan/fact deviations, and growth points.
• Monitor monthly financial reporting, propose improvements to the closing process, and develop goal-setting, KPI, and operational bonus systems.

Requirements

• Higher education in finance, economics, applied mathematics, business economics, or a related field.
• 5+ years as a Financial Analyst, Controller, Economist, or FP&A Specialist, including at least 2 years in a Lead, Senior, or Head role managing a team of 2+ people.
• Strong knowledge of budgeting, forecasting, management accounting, unit economics, P&L/CF/BS models, and margin analysis, plus advanced Excel (Power Query, Power Pivot, DAX; VBA a plus), Power BI, and SQL.
• Intermediate or higher English, systematic analytical thinking, attention to detail, strong communication skills, and high standards for work quality.

Location

Toronto, Canada, with a flexible remote work policy.

About the company

A global commerce platform serving retail, hospitality, and golf businesses in over 100 countries. It unifies online and physical operations, multichannel sales, payments, and financial solutions for merchants.

Responsibilities

• Build and maintain reporting and dashboards that measure marketing effectiveness and support full-funnel programs.
• Produce recurring reports on leads, conversion rates, website traffic, and content engagement, and turn ambiguous marketing questions into actionable analyses.
• Improve data quality, completeness, and compliance across Google Analytics, Salesforce, and other systems, prioritizing automation and process improvement.
• Work cross-functionally with RevOps, Corporate Data, and Marketing teams to keep a single source of truth, and mentor junior analysts on a three-person team.

Requirements

• Advanced SQL skills; experience with BigQuery and GCP is an asset.
• Strong business acumen and the ability to translate business needs into data requirements.
• Advanced knowledge of Looker or similar BI tools such as Tableau or Power BI, plus expertise in data analysis.
• Experience with Google Analytics or other web analytics tools and knowledge of conversion rates and marketing metrics; appetite to apply AI solutions is expected.

Location

Remote-first role with collaboration hours starting at 10:00 Manila time (UTC+8); the company is Manila-based with a globally distributed team.

About the company

A technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. It combines global fintech expertise with local market knowledge, serving millions of users through a large partner network and app footprint.

Responsibilities

• Build and own the semantic layer that powers financial reporting, turning business logic into reliable gold-layer datasets and a single source of truth for metrics.
• Develop the analytics layer for Marketing & Growth, covering acquisition, funnels, and campaign performance with self-service reporting.
• Build and maintain dbt models across staging, intermediate, and marts with tests, documentation, and reusable macros, and design scalable models in Databricks silver and gold layers.
• Support other analysts' data models, help set analytics engineering standards, and shape how the function scales with team and data growth.

Requirements

• Strong SQL skills, including complex queries, window functions, and query optimization on large datasets.
• Hands-on dbt experience with models, macros, tests, documentation, and CI workflows, plus comfort in Git-based ELT workflows.
• Strong dimensional modeling background (3NF/Inmon, star schema, or anchor modeling) and experience building semantic layers or maintaining a single source of truth for business metrics.
• Banking or fintech experience is a plus, especially data modeling for financial products.