Senior Business Analytics Analyst

About the role

The Senior Business Analytics Analyst will help design, build, and operationalize AI-enabled analytics workflows that transform how Smartly uses business data. This role focuses on applying AI to recurring analytics processes, including executive metrics reporting, company OKR tracking, customer engagement reporting, and proactive insight generation. The hire will partner closely with Business Analytics, Data Platform, Product Analytics, Marketing Science, and business stakeholders to create reliable, scalable, and human-reviewed AI workflows. The primary mission is to evolve automation beyond simple reporting into a decision intelligence function that tells the company what is happening, why it matters, and what to do next. As a , you will design and develop AI-assisted workflows for recurring business analytics outputs, creating agentic or semi-agentic processes that reduce manual reporting and insight generation. You will help transform static dashboards and reports into contextual, actionable decision briefs and develop repeatable prompts, logic, templates, and review workflows for AI-generated analysis.

Key facts

What you'll do

Design and develop AI-assisted workflows for recurring business analytics outputs across finance, marketing, and operations.

Create agentic or semi-agentic processes that reduce manual reporting and streamline insight generation for time-sensitive decisions.

Help transform static dashboards and reports into contextual, actionable decision briefs that drive clearer narrative and next steps.

Develop repeatable prompts, logic, templates, and review workflows to standardize AI-generated analysis and ensure consistent quality.

Support automation of company OKR tracking by classifying metrics into fully automatable, semi-automatable, or human-input required categories.

Build AI-assisted summaries that identify what is on track, at risk, off track, and provide clear reasoning based on underlying data.

Support nudges or reminder workflows for metrics that require human updates, ensuring timely data collection and ownership.

Assist AI-assisted analysis of customer engagement, health, spend, usage, and lifecycle signals to surface patterns and anomalies.

Help turn customer-level data into proactive insights for Customer Success and leadership, enabling targeted interventions and retention strategies.

Use AI-assisted analysis techniques to define and revise customer health scoring models that reflect evolving business realities.

Support future expansion into aggregated platform-level findings for Platform Partnerships and commercial strategy initiatives.

Work with existing BigQuery, Tableau, Redash, and other BI environments to prepare analytics-ready datasets for AI workflows.

Help design structured data tables or intermediate layers that support AI workflows, focusing on clarity, stability, and performance.

Build and maintain scheduled queries where needed to ensure data freshness, reliability, and efficient resource usage.

Partner with Data Platform on data quality, migration, and reliability issues that impact analytics accuracy and trust.

Document metric definitions, assumptions, data sources, and known limitations to make analytics understandable and auditable.

Build human-in-the-loop review processes for AI-assisted outputs, embedding checks for accuracy, relevance, and business context.

Define quality checks that validate accuracy, relevance, and alignment with business objectives for AI-generated insights.

Create reusable standards for AI-generated analytics narratives, including tone, structure, and level of detail for different audiences.

Ensure outputs are transparent about data limitations, assumptions, and confidence levels to support responsible decision-making.

Help the team move from reactive reporting to proactive insight generation by identifying triggers and timely actions.

Identify opportunities to reduce manual work and improve stakeholder experience through streamlined analytics processes and clearer communication.

Partner with analysts to turn dashboards and reports into recommendations and chat interfaces that deliver insights at the point of need.

Support team adoption of AI tools, workflows, and best practices by creating guides, playbooks, and hands-on examples.

Contribute to building Business Analytics as a center of excellence for business metrics, decision intelligence, and data-driven culture.

Requirements

At least 8 years of experience in business analytics, data analytics, analytics engineering, business intelligence, or a related field.

Strong SQL skills, ideally including experience with BigQuery and complex query optimization.

Professional experience with Python for data analysis, automation, and integration tasks.

Experience building dashboards, recurring reporting, or automated analytics workflows in production environments.

Familiarity with BI tools such as Tableau, Redash, Looker, or similar platforms for visualization and exploration.

Practical experience using AI tools to improve analysis, reporting, automation, or workflow efficiency in a business context.

Strong written and verbal communication skills to translate technical findings into clear recommendations for non-technical stakeholders.

Ability to work independently and collaboratively in a cross-functional environment with ambiguous problems and evolving priorities.

Practical notes

Hours: This is a remote position based in the Philippines.

Travel: Not mentioned.

Visa: Not mentioned.

Deadlines: Not mentioned.