Data Analyst Full Time

Key Responsibilities

1. Data Management & Reporting

• Collect and validate data from sources including Google Analytics, Meta Business Suite, CRM/CDXP, media dashboards, and QlikSense.
• Maintain daily, weekly, and monthly trackers for key marketing KPIs such as leads, conversions, CPL, CPS, and ROI.
• Collaborate with CX, IT, and Sales teams to build automated dashboards for executive-level reporting.
• Ensure accuracy, timeliness, and consistency of all marketing data to support informed decision-making.

2. Performance Analysis & Insights

• Analyze campaign performance across channels to identify trends, gaps, and opportunities.
• Deliver actionable insights to optimize media spend, audience targeting, and creative effectiveness.
• Track customer journeys across touchpoints, identifying drop-off points and recommending improvements.
• Prepare analytical summaries and post-campaign reports to support strategic planning.

3. Forecasting & Decision Support

• Develop forecasts and performance projections (e.g., lead-to-sale cycles, seasonal trends, budget utilization).
• Assess media spend effectiveness and provide optimization recommendations.
• Support leadership with insight reports and presentations for strategic reviews and planning.

4. Governance, Accuracy & Compliance

• Conduct regular data audits to ensure integrity across platforms.
• Standardize reporting templates and methodologies in line with internal SOPs and OEM requirements.
• Uphold data confidentiality and compliance with company policies and data protection standards.
• Contribute to the development of governance processes that promote transparency and operational excellence.

Qualifications & Experience

• Education: Bachelor’s degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field. Certifications in Data Analytics, Digital Marketing Analytics, or Business Intelligence is a plus.
• Experience: 3–5 years in marketing analytics, performance marketing, or data reporting, preferably in agency, automotive, FMCG, or digital sectors.
• Customer Centricity: Understands customer behavior and translates data into insights that improve experience and conversion.
• Collaboration: Works effectively with cross-functional teams including marketing, CX, IT, and sales.
• Analytical Thinking: Applies critical thinking to uncover trends, patterns, and opportunities for optimization.

Technical Skills

• Proficiency in Google Analytics, Meta Business Suite, CRM/CDXP systems, QlikSense or Power BI.
• Advanced Excel skills (formulas, pivot tables, dashboards); familiarity with SQL, Google Data Studio, or similar platforms.
• Experience with campaign tracking, UTM discipline, and data validation.
• Strong understanding of digital metrics, attribution models, and reporting frameworks.
• Ability to translate complex data into clear, concise insights for business and executive audiences.