Customer Data Analyst

Descripción de la vacante

Strategic Customer Analytics for Better Connectivity Decisions

Influence better connectivity decisions through rigorous analysis of customer and network performance data. As a Customer Data Analyst , you will create dashboards, examine service delivery metrics, and identify opportunities for stronger customer retention at a connectivity intelligence provider. Emapta connects your expertise with international collaboration, career stability, and continuous learning.

Job Overview

Exciting Perks Await!

The Qualifications We Seek

Professional Experience and Technical Expertise

Analytical and Problem-Solving Skills

Communication and Collaboration

Your Daily Tasks

Data Collection and Management

Data Analysis and Interpretation

Reporting and Communication

Collaboration and Support

About the Client

Our client is a global leader in connectivity intelligence, specializing in internet performance measurement, network analytics, and digital experience optimization. Their portfolio includes internet speed testing, mobile network benchmarking, outage monitoring, and advanced connectivity solutions. Through extensive global datasets and innovative technologies, they provide insights that help telecommunications providers, enterprises, and governments evaluate network quality, optimize infrastructure, and improve customer experiences. Our client supports smarter connectivity decisions, greater network reliability, and the continuous evolution of digital communications worldwide.

Join the Top 1% Talent. A Better Career. A Better Life.

The world doesn't move forward because everyone is the same. It moves forward because people bring different perspectives, strengths, and ways of thinking. If you've been waiting for a workplace that sees your potential before anything else, this is your moment.

At Emapta Colombia, we believe great careers begin when people are recognized for what they can do-not defined by what others expect. That's why we're creating more opportunities for exceptional talent to thrive in an inclusive workplace where your skills are valued, your ambitions are supported, and your contributions make a lasting impact.

Since 2010, Emapta has helped transform global outsourcing through personalized solutions and seamless collaboration. Today, we're proud to support more than 1,200 clients worldwide with a community of over 13,000 talented professionals-all united by one belief: exceptional talent can come from anywhere.

Apply today and let your talent take the lead . The future of work needs people like you.

#Emapta Era

• Employment Type: Indefinite Term Contract
• Shift: Day Shift | Monday to Friday, 8:00 AM-5:00 PM | Weekends Off
• Work Setup: Work From Home/Remote
• 5-day work week
• Weekends off
• Work-from-home arrangement
• 20 vacation days in total
• Prepaid medicine
• Fully customized Emapta laptop and peripherals
• Direct exposure to global clients
• Career growth opportunities
• Diverse, inclusive, and supportive work environment where every individual is respected, valued, and empowered to succeed
• Prime office locations in Bogotá and Medellín
• Unlimited upskilling through Emapta Academy courses (Want to know more? Visit https://emapta.com/training-calendar/ )
• 3 to 5 years of relevant experience in data analytics, business intelligence, customer analytics, or a related technical field.
• Advanced proficiency in SQL , including Common Table Expressions (CTEs) , window functions, complex joins, query optimization, and Athena's Presto/Trino SQL dialect .
• Strong experience with AWS Athena and related technologies, including Amazon S3, AWS Glue Data Catalog, AWS Glue pipelines , and columnar data formats.
• Proficiency in Python for data analysis, including pandas, Num Py, Matplotlib, Plotly, and Jupyter Notebook.
• Experience with Python scripting for automated data extraction and reporting, along with development best practices such as virtual environments and Git version control .
• Advanced proficiency in Power BI, including DAX (CALCULATE , filter context, and time intelligence), Power Query (M) , dimensional modeling, Row-Level Security (RLS), Power BI Service , and report performance optimization.
• Strong knowledge of applied statistics, including descriptive statistics, hypothesis testing, basic regression, and segmentation.
• Experience in mobile telecommunications, particularly core networks, radio access networks, or transmission systems.
• Understanding of radio frequency (RF) principles and network optimization techniques.
• Familiarity with Apache Spark, AWS Glue ETL, Amazon Redshift, and advanced Microsoft Excel is an advantage.
• Strong analytical and problem-solving skills, with the ability to manage large datasets and perform statistical analyses.
• Excellent attention to detail, with the ability to identify trends, anomalies, and root causes of network performance issues.
• Fluency in English, with excellent written and verbal communication skills.
• Ability to communicate analytical findings, technical insights, and actionable recommendations clearly to diverse stakeholders.
• Experience collaborating with client-facing teams is an advantage.
• Ability to collaborate with product teams to improve customer experiences through data-driven insights.
• Self-motivation, a strong sense of urgency, and consistent follow-through on assigned responsibilities.
• Availability to work remotely from Monday to Friday, 8:00 AM-5:00 PM.
• Identify and collect relevant customer data from CRM systems, project management tools, customer success platforms, support ticket systems, and other databases.
• Ensure data accuracy, integrity, and consistency through data cleansing, validation, and transformation.
• Develop and maintain data pipelines and data models to support efficient data retrieval and analysis.
• Conduct exploratory data analysis to identify trends, patterns, and correlations in customer behavior, service utilization, project outcomes, and customer satisfaction.
• Apply statistical techniques and data visualization methods to extract meaningful insights from complex datasets.
• Analyze key performance indicators (KPIs), including project profitability, service delivery efficiency, customer adoption rates, time-to-value, and customer retention.
• Identify opportunities to improve business processes, optimize service delivery, and enhance customer engagement through data insights.
• Design and prepare regular and ad hoc reports and dashboards to communicate key findings and performance insights.
• Present data-driven recommendations and actionable insights to leadership and team members clearly and concisely.
• Collaborate with stakeholders to define reporting requirements and ensure alignment with business objectives.
• Develop and maintain documentation for data sources, analytical methodologies, and reporting processes.
• Partner with Professional Services leadership to define data-driven strategies and business objectives.
• Collaborate with Customer Project Managers to identify at-risk customers and opportunities for proactive engagement.
• Promote data literacy and analytical best practices within the Professional Services team.
• Collaborate with product teams to identify opportunities to improve customer experiences through data insights.