Description review
Senior Analytics Engineer / BI Lead — Channel Insights (iX360)
Toptal · North America Only · back to the listing
HR standards
69/100
needs work
Title ↔ description
84/100
solid
Reads as
Data Analyst
92% confident
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
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- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Headquarters:
Summary
We are seeking an Analytics Engineer / BI Lead for Channel Insights to define the semantic layer, build dashboards, and present verified insights to leadership. This role combines Tableau Next and Data 360 insight development, SQL/SOQL work, data-quality validation, field-user training, and daily use of AI copilots/agents to improve delivery speed while maintaining accountability for production decisions.
General information
This engagement is centered on Channel Insights, with responsibility spanning metrics, dimensions, refresh SLAs, dashboard logic, and executive-facing insight delivery. The work is not a report ticket queue; it requires ownership of the analytics layer and confidence in the numbers presented to leadership.
Daily use of AI copilots/agents is an explicit expectation for discovery, build, test, and documentation. The focus is on improving cycle time and cost-to-outcome versus legacy delivery, embedding automation into quality gates, and verifying outputs before they reach production or executive readouts.
Tasks and Deliverables
Own Channel Insights metrics, dimensions, and refresh SLAs with the CDP product owner and Data Expert.
Build Tableau Next and Data 360 calculated insights; write SQL/SOQL as needed.
Validate data quality with the modeler/engineer and fix breaks at the source.
Train field users through working sessions.
Use AI for SQL and dataset drafts and insight narratives; verify every number before executive readouts.
Automate anomaly commentary on Channel Insights where trustworthy; escalate false positives.
Required experience
5+ years of analytics engineering or BI lead experience.
Expert-level Tableau or equivalent BI platform experience.
Strong storytelling with data for executives and field leaders.
Experience using AI copilots/agents in analytics delivery with human verification.
Nice to have:
Experience with Salesforce CRM Analytics and/or Data 360.
Engagement highlights
Own a defined Channel Insights workstream across semantic-layer design, dashboards, and data quality.
Work directly with cross-functional stakeholders, including product, data, engineering, and field users.
Deliver executive-facing insights and automate repeatable commentary where the data is trustworthy.
To apply: https://weworkremotely.com/remote-jobs/toptal-senior-analytics-engineer-bi-lead-channel-insights-ix360
Summary
We are seeking an Analytics Engineer / BI Lead for Channel Insights to define the semantic layer, build dashboards, and present verified insights to leadership. This role combines Tableau Next and Data 360 insight development, SQL/SOQL work, data-quality validation, field-user training, and daily use of AI copilots/agents to improve delivery speed while maintaining accountability for production decisions.
General information
This engagement is centered on Channel Insights, with responsibility spanning metrics, dimensions, refresh SLAs, dashboard logic, and executive-facing insight delivery. The work is not a report ticket queue; it requires ownership of the analytics layer and confidence in the numbers presented to leadership.
Daily use of AI copilots/agents is an explicit expectation for discovery, build, test, and documentation. The focus is on improving cycle time and cost-to-outcome versus legacy delivery, embedding automation into quality gates, and verifying outputs before they reach production or executive readouts.
Tasks and Deliverables
Own Channel Insights metrics, dimensions, and refresh SLAs with the CDP product owner and Data Expert.
Build Tableau Next and Data 360 calculated insights; write SQL/SOQL as needed.
Validate data quality with the modeler/engineer and fix breaks at the source.
Train field users through working sessions.
Use AI for SQL and dataset drafts and insight narratives; verify every number before executive readouts.
Automate anomaly commentary on Channel Insights where trustworthy; escalate false positives.
Required experience
5+ years of analytics engineering or BI lead experience.
Expert-level Tableau or equivalent BI platform experience.
Strong storytelling with data for executives and field leaders.
Experience using AI copilots/agents in analytics delivery with human verification.
Nice to have:
Experience with Salesforce CRM Analytics and/or Data 360.
Engagement highlights
Own a defined Channel Insights workstream across semantic-layer design, dashboards, and data quality.
Work directly with cross-functional stakeholders, including product, data, engineering, and field users.
Deliver executive-facing insights and automate repeatable commentary where the data is trustworthy.
To apply: https://weworkremotely.com/remote-jobs/toptal-senior-analytics-engineer-bi-lead-channel-insights-ix360