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Data Scientist
VeriskData Scientist supporting CRM analytics, customer experience, and business intelligence at Verisk, an insurance risk analytics company. Building Power BI dashboards and AI-enabled insights from large-scale customer and operational datasets.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Business Intelligence and Data Analytics, with strong capabilities in SQL, Python, and Power BI for data extraction, transformation, and reporting. Proficient in leveraging CRM platforms and Data Lake technologies to enhance customer experience and support strategic business decisions.
Highest-signal resume keywords
SQL ProficiencyPower BI Dashboard DevelopmentCustomer Experience AnalyticsAmazon RedshiftPython for Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData AnalysisData TransformationData QualityETL ProcessesData WarehousingDashboard DevelopmentData ManagementData Modelling
Soft Skills
Analytical SkillsProblem-SolvingCommunication Skills
Tools & Technologies
Power BISalesforceMedalliaAmazon AthenaExcelAI Tools
Industry Keywords
Business IntelligenceCustomer ExperienceData LakeLarge-Scale Data ManagementAnalytics Best Practices
Tech Stack
Tools & technologiesAmazon RedshiftCloudETLPythonSQL
About the role
Key responsibilities & impact- Work with enterprise Data Lake environments using Amazon Redshift, Amazon Athena, and other cloud-based data platforms to extract, manage, transform, and analyse large-scale datasets while ensuring data quality and governance.
- Work extensively with CRM platforms such as Salesforce and Medallia to extract, analyse, and interpret customer, operational, and engagement data.
- Partner with Customer Experience, Business, and Product teams to analyse customer journeys, feedback, and behavioural data, identify trends, improve customer satisfaction, and support strategic business decisions.
- Perform Entity Resolution and customer identity matching to create a unified customer view across multiple data sources.
- Design, develop, enhance, and maintain interactive Power BI dashboards and reports for customer experience metrics, operational KPIs, and business performance.
- Develop and optimize SQL queries, Python scripts, and Excel-based analyses for data extraction, transformation, validation, automation, and reporting.
- Gather business requirements, improve reporting solutions, and contribute to analytics best practices and documentation.
- Leverage AI and Generative AI tools to automate reporting, streamline data analysis, generate business insights, improve productivity, and support intelligent decision-making.
- Research emerging AI, GenAI, and analytics technologies and recommend innovative solutions.
- Prepare, maintain, and deliver Excel-based reports and MIS for business stakeholders.
- Support ad hoc reporting, data analysis, dashboard enhancements, data validation, and business intelligence requirements.
Requirements
What you’ll need- 1–4 years of experience in Business Intelligence, Data Analytics, Customer Experience Analytics, or a related field.
- Hands-on experience with Customer Experience analytics and CRM platforms, preferably Salesforce and Medallia.
- Strong proficiency in SQL for querying, data analysis, and performance optimization.
- Good working knowledge of Python or a similar programming language for data analysis, automation, and data transformation.
- Experience using LLM-based tools such as ChatGPT, Microsoft Copilot, GitHub Copilot, Salesforce Einstein, or similar AI assistants.
- Experience with Data Lake technologies including Amazon Redshift and Amazon Athena, and large-scale data management.
- Advanced proficiency in Microsoft Excel for data analysis, reporting, and automation.
- Strong expertise developing interactive dashboards and reports using Power BI.
- Understanding of data modelling, ETL processes, data warehousing, and dimensional modelling concepts.
- Strong analytical, problem-solving, and communication skills, with ability to work with cross-functional stakeholders.
- Ability to independently design, develop, and deploy accurate and usable dashboards and reporting solutions.
Benefits
Comp & perks- Short Term Incentive: Yes
- Verisk’s people-first culture
- Growth and professional development opportunities
- Equal opportunity employment