"Telecom BA"

Job title: Telecom BA

Location: Seattle WA

Type: Fulltime

Salary: $145k max

Job Description;

Must have skill: Hands on experience in building data analytics platforms with advanced AI techniques including GenAI.

We are seeking a Telecom Business Analyst with strong experience in network deployment data production data analysis and telecom operations to work closely with our Databricks engineering teams AI/ML teams and Network Engineering organization.

This role is responsible for transforming raw network production data into business insights that inform:

• Prompt engineering strategies
• Value quantification frameworks
• ROI measurement models
• Data-centric solution adoption

You will serve as the bridge between network engineering data engineering product and security/platform governance teams to ensure enterprise grade reliability compliance and performance.

Key Responsibilities

1. Business Analysis & Data Insight Development

• Work with Databricks data engineering teams to understand data pipelines schemas and transformations across network deployment and production systems.
• Analyze large-scale network datasets (5G/4G build data configuration data deployment milestones site on-air performance NOC events provisioning trends).
• Identify patterns correlations and gaps to derive actionable business insights for engineering and leadership.
• Translate insights into clear business narratives KPIs and recommendations that shape decision-making.

2. Prompt Engineering Enablement for Network Teams

• Convert data-driven insights into prompt engineering priorities for network engineering teams.
• Help define and refine targeted prompts that assist engineers in:
  • Value quantification
  • ROI justification
  • Deployment optimization
  • Network quality improvement
• Create prompt templates context guides guardrails and evaluation frameworks based on business logic and data behaviors.

3. Collaboration with Data Teams (Databricks Ecosystem)

• Work closely with Databricks platform engineers to:
  • Identify required data tables and gold/silver layers
  • Validate data quality and lineage
  • Ensure correct business interpretation of curated datasets
• Participate in architecture discussions data model reviews and UAT cycles for new data products.
• Support A/B experiments pilot programs and validation of AI/ML or LLM assisted solutions.

4. Solution ROI Modeling & Value Measurement

• Build frameworks that quantify benefits such as:
  • Time-to-resolution reduction
  • Deployment speed improvement
  • Cost savings from automation
  • Efficiency gains from prompt assisted tasks
• Work with Finance/Product teams to develop evidence-backed ROI models for data-centric solutions.

5. Cross-Functional Leadership & Governance

• Act as the liaison between business engineering product platform and security teams.
• Ensure proposed solutions adhere to:
  • Enterprise security guidelines
  • Data governance policies
  • Model and prompt safety standards
  • Reliability and performance benchmarks
• Participate in operational readiness reviews (ORRs) and standardization cycles.

Required Qualifications

Technical Skills

• Strong understanding of Telecom network data including:
  • Network deployment lifecycle
  • RF/Performance metrics
  • OSS/BSS data flows
  • Network inventory topology configuration
• Hands-on experience analyzing production datasets in:
  • Databricks
  • PySpark / SQL
• Hands on experience in building data analytics platforms with advanced AI techniques including GenAI.
• Ability to interpret data models jobs pipelines ETL/ELT processes.

Business & Product Skills

• Experience delivering business insights to network engineering RF optimization or deployment teams.
• Strong KPI interpretation skills (build velocity QoS trouble ticket trends capacity).
• Ability to convert data behaviors into business value narratives.

Soft Skills

• Excellent stakeholder management (Engineering Product Security Data).
• Strong communicator able to convert technical details into business recommendations.
• Ability to work in fast-paced multi-disciplinary data-driven environments.

Preferred Qualifications

• Experience at a North American telecom operator (AT&T / Verizon / T Mobile / Comcast / Rogers / Bell / Telus).
• Exposure to AI/ML data science or LLM-driven transformation projects.
• Understanding of cloud platforms (Azure/AWS/GCP).
• Familiarity with governance frameworks (data quality access/controls audit).
• Prior experience in OSS/BSS NOC or Network Deployment domains.

Success Metrics (What Good Looks Like)

• Improved data clarity and reduced ambiguity in engineering decision cycles.
• High quality insights that lead to measurable deployment or optimization improvements.
• Prompt strategies adopted by network teams with demonstrated value uplift.
• Reduced analysis-to-action timelines using data-driven prompts.
• Clear ROI reporting for each phase of the data-centric solution lifecycle.
• Strong alignment between data engineering product and governance teams.