Customer Data Analyst
Customer Data Analyst
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Job Description
Shape the Future of Connectivity with Precision and Insight
In the world of connectivity intelligence our client Ekahau Inc is the tech behind the Wi-Fi that just works whether it s in airports hospitals offices or universities. For over 20 years they ve led the way in designing optimizing and troubleshooting wireless networks with powerful easy-to-use software and hardware tools. Trusted by global brands and IT pros alike Ekahau delivers real-time visibility and precision. If you re passionate about data performance and building networks that never drop this is where your skills truly connect.
What You ll Do in This Role
Be part of our client s team as a Client Data Analyst and turn raw data into strategic insights. You ll analyze customer behavior service performance and engagement trends to improve delivery boost retention and support key decisions driving real impact across the Professional Services organization.
Job Overview
Shift: 9 AM 6 PM PST US Holidays
Work Setup: Remote / Work from Home
What You ll Be Doing
Data Collection and Management:
- Identify and gather customer data from multiple sources including CRM systems (e.g. Salesforce Dynamics 365) project management tools (e.g. Jira Asana) customer success platforms (e.g. Gainsight ChurnZero) and support systems (e.g. Zendesk ServiceNow)
- Ensure data accuracy integrity and consistency through data cleaning validation and transformation
- Develop and maintain data pipelines and models for efficient data retrieval and analysis
Data Analysis and Interpretation:
- Conduct exploratory data analysis to detect trends patterns and correlations in customer behavior service use and project outcomes
- Apply statistical methods and visualization techniques to generate insights from complex datasets
- Analyze key performance indicators (KPIs) including project profitability delivery efficiency adoption rates time-to-value and retention
- Identify opportunities to improve processes optimize services and enhance customer engagement
Reporting and Communication:
- Design and generate regular and ad-hoc reports and dashboards to communicate findings to stakeholders
- Present recommendations and insights to leadership and cross-functional teams clearly and effectively
- Collaborate with stakeholders to define reporting needs and ensure accurate delivery
- Maintain documentation for data sources analysis methodologies and reporting processes
Collaboration and Support:
- Partner with leadership to define strategies and goals based on data
- Support consultants and project teams with analysis for planning execution and risk mitigation
- Collaborate with Customer Project Managers to identify at-risk accounts and recommend proactive actions
- Help build data literacy within the Professional Services organization
Requirements
What You Need to Bring
- Bachelor s degree in a quantitative field such as Data Science Statistics Mathematics Economics Computer Science or a related discipline
- 10 years of experience in a data analysis role preferably within Professional Services SaaS or a technology-driven organization
- Proven ability to collect clean analyze and interpret complex datasets from various sources
- Strong proficiency in SQL Python (Pandas NumPy Matplotlib Seaborn) and data visualization tools such as Tableau Power BI or
- Experience with CRM systems (e.g. Salesforce) customer success platforms (e.g. Gainsight ChurnZero) and other business applications
- Solid understanding of statistical concepts and methodologies
- Excellent communication and presentation skills with the ability to convey technical findings to both technical and non-technical audiences
- Strong problem-solving and critical thinking skills with sharp attention to detail
- Ability to work independently and collaboratively in a fast-paced environment
- Understanding of Professional Services methodologies and customer lifecycle management (a plus)
Preferred Qualifications:
- Experience with data warehousing concepts and technologies
- Familiarity with machine learning techniques and their application to business use cases
- Experience building and maintaining data pipelines using ETL tools
- Certifications in data analysis or business intelligence platforms
Benefits
Why You ll Love Working Here
- 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 our clients
- Career growth opportunities
- Diverse and supportive work environment
- Prime office locations in Bogot and Medell n
- Unlimited upskilling through Emapta Academy courses (Want to know more Visit Future Team at Emapta Latam
Join Emapta Latam and contribute to our legacy of transforming global outsourcing. Since 2010 Emapta has pioneered personalized outsourcing solutions empowering businesses to thrive with bespoke teams and seamless integration. Our commitment to excellence is reflected in our state-of-the-art facilities competitive compensation and a supportive work environment that fosters professional growth. With over 900 clients worldwide and a team of over 10000 talented professionals Emapta continues to set new standards in the industry. Apply now to be part of our success story in Colombia where your skills are valued and your career ambitions are supported.
#EmaptaEra
What You Need to Bring Bachelor s degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline 10+ years of experience in a data analysis role, preferably within Professional Services, SaaS, or a technology-driven organization Proven ability to collect, clean, analyze, and interpret complex datasets from various sources Strong proficiency in SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), and data visualization tools such as Tableau, Power BI, or Experience with CRM systems (e.g., Salesforce), customer success platforms (e.g., Gainsight, ChurnZero), and other business applications Solid understanding of statistical concepts and methodologies Excellent communication and presentation skills, with the ability to convey technical findings to both technical and non-technical audiences Strong problem-solving and critical thinking skills with sharp attention to detail Ability to work independently and collaboratively in a fast-paced environment Understanding of Professional Services methodologies and customer lifecycle management (a plus) Preferred Qualifications: Experience with data warehousing concepts and technologies Familiarity with machine learning techniques and their application to business use cases Experience building and maintaining data pipelines using ETL tools Certifications in data analysis or business intelligence platforms
Employment Type
Full Time
