A SaaS? tool that turns large operational datasets into maintained KPI? dashboards, reports, and decision-ready insights.
Added Jun 9, 2026
High opportunity (81%)
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Companies repeatedly need analysts to build dashboards, visualizations, KPI? reports, and insight summaries for business decision-making. The work is recurring across functions, data sources, and teams, making it slow to keep reports current and actionable.
The product connects to business data sources, detects key metrics and trends, and generates interactive dashboards plus scheduled executive reports. It would include templates for KPI? reporting, anomaly highlights, and plain-language insight summaries so teams can move from raw data to decisions faster.
Job postings across AI/ML?, finance, operations, Salesforce analytics, and consulting roles show sustained demand for data-driven reporting. As more teams collect large datasets, the bottleneck is shifting from data access to automated interpretation and dashboard maintenance.
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• Own the design, development, and maintenance of ongoing performance dashboards, metrics, reports, analyses, etc. to drive key business decisions. • Build scalable, efficient, and automated data processes to inform business decision making.
Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
Design intuitive Looker dashboards that democratize AI product metrics and elevate self-service across Product and Care Operations teams Conduct deep-dive analyses — including user/session segmentation — to answer strategic questions about AI product performance, identify where AI products are (and aren't) working, quantify opportunity areas, and recommend clear actions
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