Overview
Hands-on Data Analyst role supporting client reporting and analytics within WPP Open, translating business questions into analytical solutions and dashboards, reporting to the Data Analytics Lead.
What you'll do
- Perform complex, hands-on data analysis to identify trends, patterns and anomalies in client usage data from the WPP Open platform.
- Conduct in-depth investigations and root cause analysis, contributing to predictive insights to proactively identify opportunities and risks.
- Develop and implement analytical models and methodologies to extract meaningful insights from large, diverse datasets.
- Utilize strong SQL skills to query, transform and analyze data from various data warehouses, ensuring data integrity and accuracy.
- Design, develop and maintain high-quality, actionable dashboards and reports using various BI tools, serving as primary delivery expert for monthly and ad-hoc client reporting.
- Continuously optimize existing reports and build new ones based on evolving client needs and strategic direction from the Lead.
- Work closely with the Lead to translate strategic objectives into concrete analytical and reporting deliverables.
- Collaborate with Data Engineers and Architects to ensure data availability, quality and efficient data pipelines.
- Provide technical expertise and contribute to the definition of data models and analytical frameworks.
- Communicate complex analytical findings, methodologies and recommendations to technical and non-technical stakeholders.
- Proactively identify data-related challenges and propose solutions to improve data quality, reporting efficiency and analytical capabilities.
- Act as subject matter expert for client usage data on WPP Open.
What you'll need
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Information Systems, or a closely related quantitative field.
- 5+ years of overall industry experience of dedicated, hands-on experience in data analytics, business intelligence, or reporting roles.
- Proven experience delivering complex analytical projects from data extraction to insight presentation.
- Direct experience with product analytics platforms such as Google Analytics 4 (GA4), Adobe Analytics, Mixpanel, Pendo, Amplitude etc. (required).
- Very strong expertise in SQL (advanced queries, performance tuning, data modeling, stored procedures, etc.) is essential.
- Proficiency with large-scale data warehouses/platforms such as Google BigQuery, Databricks, and AWS data services (e.g., Redshift, S3, Glue, Athena).
- Advanced proficiency in Power BI for dashboard creation and interactive reporting.
- Demonstrated experience with statistical analysis techniques and concepts related to predictive modelling.
- Familiarity with data governance, data quality best practices, and ETL/ELT processes.
- Exceptional analytical and problem-solving skills, with the ability to identify patterns, draw conclusions and translate data into actionable business insights.
- Strong attention to detail and commitment to data accuracy and quality.
- Excellent written and verbal communication skills, able to articulate technical concepts clearly to diverse audiences.
- Self-motivated, able to work independently, manage multiple priorities and thrive in a fast-paced environment.
Nice to have
- Master's degree in a quantitative field.
- Experience within an advertising, marketing, or media agency environment.
- Proficiency in scripting languages such as Python or R for data analysis, statistical modelling, or automation.
- Relevant professional certifications (e.g., Google Cloud Certified, AWS Certified, Databricks Certified).
Details
- Location: India.
- Hybrid, with teams in the office around four days a week.
- Accommodations or flexibility can be discussed with the hiring team during the interview process.
Read the full description and apply on the company’s own careers page.