Customer Data Analyst

This is a fully remote position, open to applicants in Spain.

📋 Description

• Collect and compile customer information from CRM systems, project management platforms, customer success tools, support ticketing systems, and databases.

• Ensure the accuracy, integrity, and consistency of data through processes of cleaning, validation, and transformation.

• Develop and sustain data pipelines and data models.

• Perform exploratory data analysis to uncover trends, patterns, and correlations concerning customer behavior, service utilization, project results, and customer satisfaction.

• Utilize statistical techniques and data visualization methods to derive insights from complex datasets.

• Analyze Professional Services KPIs, which include project profitability, service delivery efficiency, customer adoption rates, time-to-value, and customer retention.

• Identify areas for process enhancement, service optimization, and improved customer engagement.

• Create and produce both regular and ad-hoc reports and dashboards.

• Present data-driven recommendations and actionable insights to Professional Services leadership and team members.

• Collaborate with stakeholders to establish reporting requirements.

• Maintain thorough documentation for data sources, methodologies, and reporting processes.

• Partner with Professional Services leadership to outline data-driven strategies and objectives.

• Assist project teams and consultants with data analysis for project planning, execution, and risk management.

• Work alongside Customer Project Managers to recognize at-risk customers and opportunities for proactive engagement.

• Contribute to enhancing data literacy within the Professional Services team.

⛳️ Requirements

• Bachelor's degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.

• 3+ years of experience in a data analysis position, preferably in Professional Services, SaaS, or a technology-centric organization.

• Capability to collect, clean, analyze, and interpret complex datasets from diverse sources.

• Strong expertise in SQL and Python, including libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

• Proficiency in data visualization tools like Tableau, Power BI, or Heavy.ai.

• Experience with CRM systems, particularly Salesforce.

• Familiarity with customer success platforms such as Gainsight or ChurnZero.

• Solid grasp of statistical concepts and methodologies.

• Outstanding communication and presentation abilities.

• Strong analytical and problem-solving skills with a keen attention to detail.

• Ability to work autonomously and collaboratively in a fast-paced environment.

• A background check is required.

• Experience with data warehousing concepts and technologies is preferred.

• Familiarity with machine learning techniques is advantageous.

• Experience in building and maintaining data pipelines using ETL tools is preferred.

• Certifications in relevant data analysis or business intelligence tools are desirable.

🏝️ Benefits

• Opportunity to work in a dynamic and innovative environment.

• Professional development and training opportunities.

• Competitive salary and performance-based incentives.

• Flexible working hours and potential remote work options.

• Comprehensive health and wellness benefits.