Data Analyst, Analytics Enablement
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Job Location:
Manila - Philippines
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
About Us
Here at Tarro we build products that empower small brick and mortar restaurants by liberating them of the operational burden of running their business. We accomplish this by providing a frictionless connection between them and their customers through our multi-product ecosystem offering AI-enabled order taking delivery enablement payment solutions and point-of-sale software. At Tarro we use a combination of bits (technology) and atoms (people) to solve real world problems facing small business owners.
We obsess over placing our customers first and working backwards from there. When our customers succeed we succeed. The restaurant industry in the US is over a $1 trillion total addressable market (TAM) but remains relatively underserved by technology. Large chains are able to afford expensive tech that gives them a huge advantage; we believe that small restaurant owners deserve access to the same technologies at an affordable price.
Tarro has been profitable for nearly a decade and has seen 5x revenue growth in the last four years. As of our last fundraising round in mid-2022 we were valued at $450M and have since seen substantial growth across customer acquisition product development and company headcount. Thousands of loyal restaurants have entrusted Tarro with their success and together we have supported nearly 20 million customers. We are proud to be named one of Built Ins top companies to work for in 2023.
To learn more about our culture values and how you can be a part of helping mom & pop restaurants thrive please visit us here! Helping restaurants thrive not just survive.
What were looking for
Were looking for a Data Analyst (Analytics Enablement) to improve how teams across Tarro access and use data day-to-day. This role is the front line for data questions: youll own intake and triage for ad-hoc requests resolve common questions quickly using dashboards/SQL and convert larger work into tracked tasks with the right owners.
This is a high-impact opportunity to work in a fast-paced profitable startup where youll have real ownership move quickly and see your analyses/work directly influence product and business outcomes.
Were also looking for someone who can excel at enablement and as they ramp grow into broader analytics projects and data engineering-adjacent work based on performance and team needs.
What youll accomplish
Own internal Slack data intake ensuring first response within one hour during coverage hours.
Partner with the Data Team to identify and implement automation opportunities that reduce recurring asks (documentation dashboards LLM-assisted discovery/answers and lightweight validation checks).
Help stakeholders clarify vague requests by aligning on: decision/question metric definition timeframe filters and output format.
Resolve low-to-moderate complexity requests using Lightdash (including Ask AI) and basic SQL in Snowflake.
Troubleshoot metric discrepancies (e.g. dashboard A vs dashboard B) by validating definitions filters timezones joins/deduping and source-of-truth logic.
Build and maintain Lightdash charts/dashboards and lightweight self-serve assets that reduce repeat questions.
Document and maintain datasets FAQs and standard processes for reconciliation and validation.
Create and track Jira tasks for complex requests defining clear requirements routing to domain owners and ensuring completion.
Create and review PRs to update labels metadata descriptions or dimensions from upstream fields.
Tools youll use
Snowflake (SQL)
AWS (Data storage layer)
Lightdash (dashboards explores Ask AI)
dbt GitHub
Slack Jira (intake triage and task tracking)
About you
3 years of experience in analytics / BI / operations analytics (or equivalent).
Strong SQL fundamentals (joins window functions aggregation deduping reconciliation).
Clear written and verbal communicationable to explain metrics and discrepancies to non-technical stakeholders.
Strong ownership and follow-through in high-interrupt environments (many ad-hoc requests shifting priorities).
Comfortable operating with ambiguity: you ask the right clarifying questions and drive to a clear outcome.
Experience working with BI tools (Lightdash/Looker/Tableau/etc.) and cloud data warehouses (Snowflake preferred).
Comfortable working in a service/SLA-oriented role with high stakeholder volume and rapid turnaround.
Bonus points
Experience supporting business teams directly (Ops/Finance/Support/Product Ops) with fast turnaround.
Interest or experience in LLM-enabled analytics workflows (prompting evaluation or improving self-serve discovery).
Familiarity with dbt data testing (e.g. schema/metric checks) or contributing small improvements to data pipelines with code review.
Experience in restaurants payments delivery/logistics or high-volume consumer products.
Work schedule
This role is onsite in Manila (5 days/week) and will work 2:00am2:00pm PH time to overlap with US-based stakeholders.
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
