Data Insight Analyst

Role Overview

We are looking for a curious and data-driven Data Insight Analyst to aid marketing, customer, and business strategies by delivering actionable analytics and insights. The successful candidate will be essential in assessing campaign effectiveness, spotting trends, and translating intricate data into meaningful recommendations that drive business success.

Key Responsibilities

• Gather, analyze, and interpret data from diverse platforms and systems.
• Evaluate marketing initiatives, personalized campaigns, and customer lifecycle programs for performance.
• Discover trends, risks, opportunities, and critical business drivers within extensive datasets.
• Conduct root cause analysis and extract actionable insights about customers and business operations.
• Create and maintain dashboards, reports, and data visualizations using business intelligence tools.
• Communicate complex findings effectively to both technical and non-technical audiences.
• Work closely with teams in Marketing, Product, Finance, and Business Intelligence.
• Guarantee the reliability, consistency, and accuracy of data in reports and analyses.
• Provide data-based suggestions to enhance customer engagement and overall business performance.
• Support continuous enhancements of analytics frameworks, methodologies, and reporting workflows.

Required Skills and Experience

• Background in Data Analytics, Business Intelligence, Customer Analytics, or Marketing Analytics.
• Proficient in SQL with experience handling large-scale datasets.
• Skilled in Power BI, Tableau, Looker, or other data visualization platforms.
• Experienced in building dashboards and enabling self-service reporting.
• Strong analytical, problem-solving capabilities, and adept at managing stakeholders.
• Excellent skills in communication and crafting narratives from data.
• Prior experience in measuring marketing campaign outcomes and understanding customer behavior is highly valued.

Preferred Qualifications

• Familiarity with Python or R programming languages.
• Experience in customer insights, CRM analytics, personalization, or lifecycle marketing.
• Knowledge of A/B testing and assessing marketing performance.