Network Intelligence Analyst

Ookla; España; On-site; EUR 60,000 - 67,000; Full time

Job summary

Ookla is seeking a Network Data Analyst to translate large-scale telecom data into actionable insights for customers and internal teams. The role focuses on analytical methods for pre-sales and post-sales adoption, with experience in crowdsourced data as a strong plus.

You will analyze network performance metrics, develop data stories and visualizations, and collaborate with Sales, Customer Solutions, and Data Engineering to ensure data quality and impact.

Qualifications

• 3+ years of data science, analytics, or BI in telecom or connectivity domains.
• Strong SQL skills and experience querying large-scale datasets.
• Experience using Python or R for data analysis and modeling.
• Foundational understanding of mobile or broadband network performance metrics.
• Experience with crowdsourced or large-scale observational datasets preferred.
• Ability to communicate insights to technical and non-technical audiences.

Responsibilities

• Analyze large-scale telecommunications and network performance datasets, including crowdsourced data.
• Provide customer-specific analysis, benchmarks and data-driven insights for pre-sales.
• Develop clear insights, visualizations and data stories for stakeholders.
• Collaborate with Sales, Sales Engineering and Customer Solutions during deal qualification.
• Support post-sale analysis and validation for adoption and outcomes.
• Ensure data quality and usability with Data Engineering and Product teams.

Skills

SQL proficiency

Data analysis

Communication

Tools

Python

R

SQL databases

Job description

The Opportunity:

We are seeking a Network Data Analyst to help our team translate data into insights that help customers and internal teams make better decisions. You will work with large-scale datasets which will empower the sales teams across Ookla.

This role works with data at scale. This role represents an entry point into Network Intelligence, focused on analytical methods to customer facing, pre-sales and post-sales adoption use cases. Telecom / mobile-network domain experience is a strong plus.

Key Responsibilities:

• Network Intelligence Analysts provide insights that enables solution success;
• Analyze large-scale telecommunications and network performance datasets, including crowdsourced measurement data
• Support pre-sales engagements by providing customer-specific analysis, benchmarks, and solution-relevant data-driven insights
• Apply established methodologies and models to customer, market, and competitive questions
• Develop clear, customer-ready insights, visualizations, and data stories
• Partner with Sales, Sales Engineering, and Customer Solutions Managers during deal qualification and solution validation
• Support Customer Solutions and Services teams with post-sale analysis and validation to inform adoption and outcome realization
• Respond to analytical requests with accuracy and urgency, prioritizing customer impact and solution relevance
• Collaborate with Data Engineering and Product teams to ensure data quality and usability

Job Qualifications:

We are looking for the right person, not the exact list of requirements. If you believe your life experience has prepared you for similar challenges, we’d like to hear from you.

• 3+ years of experience in data science, analytics, or BI roles within the telecommunications or connectivity domain
• Strong SQL skills and experience querying large-scale datasets
• Experience using Python or R for data analysis and modeling
• Foundational understanding of mobile, broadband, or internet network performance metrics
• Experience working with crowdsourced or large-scale observational datasets strongly preferred
• Ability to communicate analytical insights to technical and non-technical audiences
• Comfort operating in fast-paced, ambiguous environments

About

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.

Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.

About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.

Compensation Range

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is €60,000 - €67,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.