Business Intelligence Analyst - Telco Engineering & Operations

AST SpaceMobile and our global partners are building the first and only space-based cellular broadband network to be accessible by standard smartphones. Called SpaceMobile, this ultra-powerful network is being designed to provide connectivity at 4G/5G speeds everywhere on the planet – on land, at sea and in flight.

Position Overview

We are seeking a Business Intelligence Analyst to join Telco Business Planning and design and implement the data, analytics, and business-intelligence capabilities that convert Telco operational information into scalable decision support. This role will develop analytical models, dashboards, and decision tools that connect program delivery, network deployment, financial performance, risk, capacity, and operational outcomes.

This position supports Program Delivery & Governance, Network Planning, Finance, Engineering, Operations, and digital-platform teams. The analyst will translate business questions into data requirements and analytical products; integrate information from multiple source systems; establish consistent measures and data definitions; and create repeatable insight that improves prioritization, investment decisions, deployment planning, and performance management.

The ideal candidate combines business and financial judgment with strong technical analytics capabilities. Success requires the ability to understand how operating decisions affect cost, schedule, risk, and value; build the data products needed to evaluate those relationships; and communicate conclusions clearly to technical and executive audiences.

Key Responsibilities

Business Intelligence & Decision Products (25%)

Design, build, and maintain Power BI dashboards, analytical models, and decision-support tools for Telco Engineering & Operations

Translate leadership and operating questions into measurable key performance indicators, analytical logic, data requirements, and intuitive visualizations

Develop drill-through analytics that connect executive indicators to programs, markets, gateway deployments, milestones, costs, vendors, risks, and underlying operational drivers

Automate recurring analysis and reporting to reduce dependence on manually maintained spreadsheets and presentations

Data Integration & Analytical Modeling (25%)

Integrate schedule, milestone, cost, risk, inventory, deployment, capacity, engineering, and operational data into reusable analytical datasets

Develop and maintain dimensional and semantic data models that support consistent analysis across Telco programs and planning cycles

Use SQL, Power Query, application programming interfaces (APIs), and other integration methods to transform source-system data into analysis-ready information

Partner with Information Technology and Digital Platforms on governed integrations, scalable architecture, access, refresh, and production support

Financial & Operational Performance Analytics (20%)

Connect financial and operational measures to explain cost, schedule, capacity, quality, and delivery-performance trade-offs

Develop variance, trend, scenario, and root-cause analyses that identify performance drivers, emerging risks, and value-improvement opportunities

Partner with Finance to reconcile actuals, forecasts, budgets, and operational drivers and provide transparent views of capital and operating performance

Convert analytical findings into clear recommendations for prioritization, deployment sequencing, resource allocation, and corrective action

Program Delivery, Risk & Schedule Intelligence (15%)

Integrate schedule and milestone data into analytical models that identify critical-path exposure, milestone variance, deployment dependencies, and delivery trends

Develop analytics, reporting, and tooling requirements that provide visibility into risks, issues, dependencies, change activity, aging, ownership, and program impact

Create analytical views of stage-gate readiness, change activity, delivery health, and cross-program dependencies using authoritative source data

Support Program Delivery & Governance with scalable analytics while process ownership and source-record maintenance remain with the accountable delivery teams

Data Quality, Governance & Continuous Improvement (15%)

Define and maintain common business logic, metric definitions, dimensional relationships, data lineage, ownership, and refresh expectations

Implement automated data-quality, validation, and reconciliation controls and work with source owners to resolve issues at the origin

Establish traceability from dashboards and analytical outputs to authoritative systems of record

Prototype new analytical capabilities and transition scalable solutions into governed production environments

Qualifications

Education

Bachelor's degree in Business Administration, Finance, Economics, Engineering, Information Systems, Data Analytics, or a related quantitative field

Master of Business Administration (MBA) preferred, particularly with concentrations in finance, business analytics, operations, technology management, or strategy

Experience

4-7 years of experience in business intelligence, analytics, financial analysis, operations analysis, decision support, or a related role

Experience designing and implementing analytical products that combine financial and operational information

Experience supporting telecommunications, satellite, infrastructure, engineering, or other capital-intensive technology environments

Experience partnering with business, finance, engineering, operations, and technical teams to move analytics from requirements into sustained use

Required Technical Expertise

Advanced Power BI development, including DAX, Power Query, semantic modeling, drill-through design, row-level security, and scheduled refresh

Strong SQL skills and experience transforming data from multiple operational and financial source systems

Experience with dimensional data modeling, KPI design, data validation, reconciliation, lineage, and governance

Advanced Microsoft Excel skills, including financial and operational modeling, scenario analysis, and complex data analysis

Ability to interpret schedules, critical paths, milestones, cost performance, forecasts, risks, and operational metrics

Ability to translate ambiguous business questions into analytical requirements, data models, measures, visualizations, and actionable recommendations

Working knowledge of APIs, data integration patterns, automation, and production analytics support

Preferred Qualifications

Experience with Python for data analysis, automation, or statistical modeling

Experience with Salesforce, NetSuite or SuiteAnalytics, Jira, Smartsheet, SharePoint or Microsoft Lists, Microsoft Project, or Oracle Primavera P6

Experience developing decision models for capital planning, deployment economics, investment prioritization, or operational performance

Experience with Microsoft Fabric, Azure data services, Power Platform, or comparable cloud analytics platforms

Experience with AI-assisted analytics, natural-language interfaces, or workflow automation

Business, Technical & Leadership Skills

Financial acumen and the ability to connect operational performance with cost, capital efficiency, and business outcomes

Systems thinking and the ability to understand relationships across deployment, engineering, finance, supply chain, and operations

Strong analytical judgment, structured problem solving, and attention to data accuracy

Clear communication of analytical findings, assumptions, limitations, trade-offs, and recommendations to technical and executive audiences

Ability to work across functions, clarify ownership, and influence decisions without relying on direct authority

Technology Stack

Power BI, DAX, Power Query, SQL, advanced Microsoft Excel, and Microsoft Power Platform

Familiarity with Python and data