The Opportunity:
As a Customer Data Analyst within our Professional Services team, you will play a critical role in transforming raw customer data into actionable insights. You will be responsible for collecting, cleaning, analyzing, and interpreting data related to customer engagements, service delivery, product adoption, and overall customer health. Your analysis will directly inform strategic decisions, optimize our service offerings, enhance customer experience, and contribute to the overall success of our customers and the Professional Services organization. You will collaborate closely with Professional Services leadership, consultants, project managers, and customer success managers to understand their data needs and deliver impactful reports and analyses.
Key Responsibilities:
Data Collection and Management:
Identify and gather relevant customer data from various sources, including CRM systems (e.g., Salesforce, Dynamics 365), project management tools (e.g., Jira, Asana), customer success platforms (e.g., Gainsight, ChurnZero), support ticketing systems (e.g., Zendesk, ServiceNow), and other relevant databases.
Ensure data accuracy, integrity, and consistency through data cleaning, validation, and transformation processes.
Develop and maintain data pipelines and data models to facilitate efficient data retrieval and analysis.
Data Analysis and Interpretation:
Conduct exploratory data analysis to identify trends, patterns, and correlations related to customer behavior, service utilization, project outcomes, and customer satisfaction.
Develop and apply statistical techniques and data visualization methods to extract meaningful insights from complex datasets.
Analyze key performance indicators (KPIs) relevant to Professional Services, such as project profitability, service delivery efficiency, customer adoption rates, time-to-value, and customer retention.
Identify opportunities for process improvement, service optimization, and enhanced customer engagement based on data analysis.
Reporting and Communication:
Design and generate regular and ad-hoc reports and dashboards that effectively communicate key findings and insights to stakeholders across the Professional Services organization.
Present data-driven recommendations and actionable insights to Professional Services leadership and team members in a clear and concise manner.
Collaborate with stakeholders to define reporting requirements and ensure that reports meet their specific needs.
Develop and maintain documentation for data sources, methodologies, and reporting processes.
Collaboration and Support:
Partner with Professional Services leadership to define data-driven strategies and objectives.
Support project teams and consultants with data analysis to inform project planning, execution, and risk mitigation.
Work closely with Customer Project Managers to identify at-risk customers and opportunities for proactive engagement based on data insights.Contribute to the development of data literacy within the Professional Services team.
Job Qualifications:
Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline.
3+ years of experience in a data analysis role, preferably within a Professional Services, SaaS, or technology-focused organization.
Proven ability to collect, clean, analyze, and interpret complex datasets from various sources.
Strong proficiency in data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy, Matplotlib, Seaborn), and data visualization tools (e.g., Tableau, Power BI, Heavy.ai).
Experience working with CRM systems (e.g., Salesforce), customer success platforms (e.g., Gainsight, ChurnZero), and other relevant business applications.
Solid understanding of statistical concepts and methodologies.
Excellent communication and presentation skills, with the ability to effectively convey technical findings to both technical and non-technical audiences.
Strong problem-solving and critical-thinking skills with a keen attention to detail.
Ability to work independently and collaboratively in a fast-paced environment.
A strong understanding of Professional Services methodologies and customer lifecycle management is a plus.
Background Check Required
Preferred Qualifications:
Experience with data warehousing concepts and technologies.
Familiarity with machine learning techniques and their application to business problems.
Experience building and maintaining data pipelines using ETL tools.
Certifications in relevant data analysis or business intelligence tools.
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 €38,000 - €43,000. 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.
