Data Analyst Databriks, SQL, Tableau, Qlik, A/B testing -- Direct end client

We are seeking a Business Data Analyst to support product, customer experience, and AI-driven initiatives. This role will partner closely with business stakeholders to define key performance metrics, develop reporting and dashboards, conduct deep-dive analyses, and design experiments that drive data-informed decision making.

The ideal candidate combines strong analytical skills with business acumen and can effectively translate complex data insights into actionable recommendations for stakeholders.

<>Key Responsibilities

• Define, refine, document, and maintain business metrics and reporting methodologies.
• Design and execute experiments and A/B tests, including hypothesis creation, success metric definition, test setup, and results analysis.
• Build, maintain, and optimize dashboards and KPI reporting solutions.
• Perform ad hoc analyses and deep-dive investigations to answer business questions and identify opportunities.
• Partner with stakeholders to gather requirements, prioritize requests, and scope analytical projects.
• Investigate and resolve data discrepancies impacting reporting accuracy.
• Communicate findings and recommendations through clear presentations and data storytelling.
• Create and maintain documentation for metrics, reporting logic, and experimentation methodologies.

<>Required Skills

• Advanced SQL querying and data analysis.
• Experience with business intelligence (BI) tools and dashboard development.
• Knowledge of experimentation frameworks, A/B testing, and statistical analysis.
• Requirements gathering and stakeholder management experience.
• Strong analytical thinking and problem-solving skills.
• Excellent communication, presentation, and data storytelling abilities.

<>Preferred Qualifications

• Experience supporting product analytics, customer experience, digital platforms, or AI-related initiatives.
• Ability to translate business objectives into measurable metrics and analytical frameworks.
• Experience delivering insights to both technical and non-technical audiences.

<>Education

Bachelor's or Master's degree in a quantitative field such as:

• Computer Science
• Statistics
• Applied Mathematics
• Econometrics
• Operations Research
• Data Science or related discipline

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SQL, Advanced SQL, Data Analysis, Business Intelligence, BI Tools, Dashboard Development, Dashboard Maintenance, KPI Reporting, Reporting Analytics, Data Visualization, A/B Testing, Experimentation, Hypothesis Testing, Statistical Analysis, Test Design, Success Metrics, Product Analytics, Business Analytics, Data Storytelling, Stakeholder Management, Requirements Gathering, Data Reporting, Metrics Definition, Data Insights, Ad Hoc Analysis, Root Cause Analysis, Data-Driven Decision Making, Analytical Modeling, Quantitative Analysis

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