The Challenge
Amdocs ($5B revenue) powers telecom operators globally. You'll own the data backbone for their biggest business unit—turning massive subscriber datasets into insights that shape product strategy and customer outcomes.
Your Mission
Master the existing data pipeline, data models, and current dashboard suite; identify 3-5 optimization opportunities
Deliver 5-8 ad-hoc analyses for stakeholders; establish yourself as the go-to analyst for marketing and operations
Build 2-3 new dashboards in PowerBI/Tableau solving current blind spots in customer behavior or operational metrics
Develop fluency with the telco business model and Amdocs' customer base; complete onboarding for Linux and SQL frameworks
Own end-to-end reporting for 2-3 key business metrics; demonstrate 15%+ improvement in pipeline efficiency or dashboard load times
Lead 3-5 customer-facing presentations delivering insights that directly influence their strategic decisions
Architect and deploy a Big Data (Hive/Hadoop) model processing 10M+ subscriber records; reduce query time by 25%+
Mentor junior analysts; codify best practices in data validation, model documentation, and SQL optimization
KPIs You'll Own
Dashboard Uptime & Accuracy
All production dashboards must run on schedule with <0.1% data discrepancies month-over-month.
Ad-Hoc Analysis Turnaround
Average time-to-insight for stakeholder requests, targeting 48-72 hours for standard analyses.
Pipeline Performance
Data ingestion latency and query efficiency; track regressions and optimization wins quarterly.
Stakeholder Impact
Track how many analyses directly influence business decisions (measured via feedback and follow-up actions).
Tools & Stack
Your Team
Your Manager
Data Analytics Lead / Marketing Operations Manager (not specified)
Current Team
Small data analytics team; likely 2-4 analysts supporting multiple business units
Growth hire to expand capacity for marketing and operational analytics
The Package
Salary
$85K-$120K base
Remote
On-site. Lima Metropolitan Area, Peru. No remote flexibility mentioned.
Benefits & Perks
Company Intelligence
Amdocs is a $5B revenue software and services leader powering cloud migration, 5G, and digital operations for telecom and media companies. Listed on NASDAQ, they serve the world's largest service providers with market-leading products for subscriber management, network optimization, and customer experience.
Customers
Top global telecom operators (Telco companies managing millions of subscribers)
Culture
Mission-driven: 'Live Amazing, Do Amazing.' Focus on real impact, growth, flexibility, and meaningful connections.
Is This Role For You?
- You have 4+ years as a data analyst with deep SQL chops and real experience querying 100M+ row datasets
- You're fluent in PowerBI or Tableau and can translate messy data into a 5-minute story for execs
- You thrive in a fast-paced, telco/B2B environment where you own the data narrative, not just run queries
- You're ready to grow into Big Data (Hive, Hadoop) and mentor junior analysts as the team scales
- You need remote flexibility or hybrid work; this is on-site only in Lima
- You're looking for startup chaos; Amdocs is enterprise-grade (slower decision cycles, more process)
- You don't speak advanced English or struggle with written communication; customer presentations are frequent
Interview Process
Phone Screening
HR verification of experience, English fluency, and relocation feasibility (Lima-based)
Technical SQL & BI Assessment
Take-home or live coding: write a multi-join query, optimize a slow dashboard, visualize a dataset
Data Strategy Case Study
Analyze a sample telco dataset; present insights, assumptions, and recommended next steps
Team & Manager Interviews
Meet the data analytics lead and marketing/ops stakeholders; discuss collaboration style and growth expectations
Interested in this role?
Apply now and hear back within days, not weeks.
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About Data & Analytics Roles
Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.