GENERAL SUMMARY:
In this role, the Principal BI Analyst is the strategic bridge between raw data and executive decision-making at Sensera Systems. The Principal BI Analyst will be responsible for orchestrating data ecosystems where AI, automated insights and data governance intersect. They will define the data standards for the company.
PRIMARY RESPONSIBILITIES:
- Design and manage a comprehensive Business Intelligence (BI) strategy aligned with company growth.
- Lead the development of automated dashboards and reports to monitor key performance indicators (KPIs).
- Build ETL pipelines
- Tooling & Infrastructure: Oversee the selection and maintenance of the BI stack (e.g., Tableau, Power BI, Snowflake, or Looker) and manage vendor relationships.
- Collaborate with Sales and Marketing to analyze market trends, competitor activity, and customer demographics to optimize revenue and market penetration.
- Partner with the Product and Engineering teams to interpret large amounts of data to bring rigor to performance and quality analyses.
- Oversee data governance and quality assurance to ensure "single source of truth" accuracy across all business units.
- Provide executive-level summaries and data storytelling to support strategic decision-making and investor relations.
- Evaluate and implement emerging AI tools, such as natural language querying for business users, to match the "AI ecosystem" mentioned in the summary.
- Trains the entire organization on how to use self-service data tools effectively (data literacy program)
- Focus on high-level predictive modeling rather than basic ad-hoc requests. Specifically, Trend Forecasting and Anomaly Detection models that actually reduce the ad-hoc requests.
- Ensure compliance with evolving regulations (e.g., GDPR, CCPA, or state-specific AI statutes)
REQUIRED SKILLS/QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or Business Analytics is standard. An MBA or a Master’s in Data Science is increasingly preferred for senior management roles.
- 5+ years of experience in business intelligence, data analysis, or a similar leadership role, preferably within a SaaS or IoT environment.
- Advanced proficiency in SQL and data visualization tools such as Tableau, Power BI, or similar.
- Strong understanding of data modeling, data warehousing, and ETL processes.
- Excellent communication skills with the ability to translate technical findings into clear business recommendations for stakeholders.
- Preferred - experience in handling IoT data (time-series and sensor-based telemetry)
SUCCESS IN 90 DAYS:
First 30 Days: Foundation & Assessment
- Audit the Data Ecosystem: Complete a comprehensive technical audit of the current BI stack and existing ETL pipelines to identify bottlenecks in data quality or "single source of truth" accuracy.
- Stakeholder Logic Mapping: Conduct deep-dive sessions with the CEO, Sales, Marketing, Engineering, CX and Product teams to document the critical KPIs and "unanswered questions" that currently hinder executive decision-making.
- IoT Data Familiarization: Establish a baseline understanding of the sensor-based telemetry and time-series data structures unique to Sensera’s IoT environment.
First 60 Days: Strategy & Optimization
- BI Roadmap Delivery: Present a 12-month BI strategy to the CEO that aligns data initiatives with company growth, specifically highlighting areas for AI tool implementation and natural language querying.
- Pilot "Self-Service" Training: Launch the first phase of the data literacy program by training a pilot group of business users on self-service tools, reducing their reliance on the BI team for basic reports.
First 90 Days: Strategic Impact
- Executive Dashboard Suite: Launch a suite of automated, executive-level dashboards that provide real-time visibility into market trends and competitor activity.
- Vetting Emerging AI: Complete the evaluation of at least one emerging AI tool designed to enhance the "AI ecosystem" mentioned in the strategic summary.
- Governance Framework: Establish initial data standards and governance protocols to ensure compliance with relevant regulations like GDPR or CCPA.
First 6 months: Strategic Impact & Advanced Analytics
- Deploy Predictive Models: Successfully move from ad-hoc reporting to high-level modeling by deploying the first iteration of a Trend Forecasting or Anomaly Detection model to reduce reactive requests.
- Governance Framework: Continue with documentation of data standards and governance protocols to ensure compliance with relevant regulations like GDPR or CCPA.
TRAVEL REQUIREMENTS:
None
POSITION REPORTS TO:
CEO
BASE PAY RANGE:
$140,000 - $190,000 per year + annual bonus eligibility
DESCRIPTION OF BENEFITS AND OTHER COMPENSATION:
Medical, Dental and Vision available. Company provides Basic Life, Short-Term and Long-Term disability. Paid holidays and PTO. 401k with matching. Eligible for annual bonus and company stock options.
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