Sales BI Analyst

Sales BI Analyst

Company: NXP Semiconductors
Organization: Global Sales & Marketing (GSM) – Global Sales Operations, Business Intelligence

Role Summary

As a mid‑career Sales BI Analyst, you’ll be the go‑to partner for Sales leadership—owning end‑to‑end BI solutions that turn complex commercial data into clear actions. You will lead design, delivery, and adoption of dashboards and data models across forecasting, pipeline health, territory/quota, and incentive compensation, raising decision quality and execution velocity across regions and channels. The role sits within GSM’s Sales Operations BI organization and works closely with Sales, Marketing, and Product teams, leveraging NXP’s BI platforms (Power BI, Tableau, SharePoint) and our CRM backbone (Salesforce).

What You’ll Do

• Own the roadmap, development, and lifecycle of sales‑focused dashboards (Power BI/Tableau/Databricks), including requirements capture, technical design, build, documentation, training, and ongoing enhancement.
• Design robust data models (star/snowflake, RLS, incremental refresh) and optimize DAX/SQL for performance and governed self‑service; implement versioning and release practices for BI artifacts.
• Build ETL/ELT pipelines from CRM/ERP/data warehouse sources; institute data quality checks and lineage so stakeholders can trust KPIs like pipeline coverage, win rate, bookings, revenue, and POS.
• Lead advanced analyses (pipeline hygiene, conversion funnels, cohort/segment performance, market share) to surface growth opportunities and risk, informing quarterly targets and forecasts.
• Partner with Sales Ops on sales area design, quota setting, and incentive compensation modeling; translate policy changes into maintainable logic in models and reports.
• Enable and influence: run demos, office hours, and user training to drive adoption; create playbooks and metric definitions to standardize how the field reads the business.
• Sustain and improve: monitor refresh jobs, troubleshoot data issues, and maintain SLAs on BI assets used by GSM leadership reviews.

Qualifications (Must‑Have)

• 5–7 years in Business Intelligence, Sales Operations, or Data Analytics, ideally in semiconductor or high‑tech.
• Expert in Power BI (preferred) and strong in Tableau or Databricks; experience with DAX, data modeling, and performance tuning; solid SQL for extraction and transformation.
• Hands‑on with data warehousing and ETL/ELT concepts; comfortable moving data from CRM/ERP/DW into governed, reusable models.
• Strong business fluency in sales processes and metrics (pipeline, coverage, win rate, bookings, revenue, POS), with working knowledge of Salesforce.
• Excellent communication and storytelling skills; can translate technical detail into crisp, executive‑level insights and recommendations.
• Proven ability to lead projects independently in a dynamic, multi‑time‑zone environment and to collaborate effectively with cross‑functional stakeholders.
• Fluency in English (written and spoken).

Nice to Have

• Experience with incentive compensation data/logic (e.g., Xactly or similar), territory/quota modeling, and forecast accuracy improvement initiatives.
• Familiarity with SharePoint for content distribution and usage metrics; exposure to Excel Analyze‑in‑Power BI workflows common in GSM.
• Basic Python/R for analytical augmentation (e.g., outlier detection, time‑series), and knowledge of CI/CD practices for BI (source control, release pipelines).

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