About WPP

WPP is the trusted growth partner for the worlds leading brands. We unitecutting-edge media intelligence and data solutions world-class creativity next-generation production transformative enterprise solutions and expert strategic counselin a single company powered by exceptional talent and our agentic marketing platform WPP Opento help our clients navigate change capture opportunity and deliver transformational growth. For more information visit.

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people planet clients and communities. For more information visit .

WPP Media is WPPs global media a world where media is everywhere and in everything we bring the best platform people and partners together to create limitless opportunities for growth. For more information visit

At WPP Media we believe in the power of our culture and our people. Its what elevates us to deliver exceptional experiences for both our clients and each this role it will be critical to embrace WPP & WPP Medias shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

The Manager / Senior Associate Client Analytics reports to the Director of Analytics working to design customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills be client obsessed self-motivated and able to operate both as a team and independently with limited guidance and direction

The Manager / Senior Associate Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization performing quantitative data analysis problem solving statistical modeling and developing/analysing business cases.

WHAT YOU WILL DO

• Apply deep knowledge of basic statistics (significance testing correlation analysis confidence intervals descriptive statistics) to support analytical solutions.
• Use statistical modelling techniques (regression classification) to extract business value from campaign data.
• Utilize programming languages (Python R SQL) statistical packages (SciPy) and Google tools (BigQuery Tensorflow Datalab) to prototype and deliver data-driven solutions.
• Recommend and develop technical solutions with guidance from senior leadership.
• Define project scope setup and effort estimation in collaboration with the account Analytics lead.
• Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
• Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
• Collaborate with regional leadership on process development improvement and compliance.
• Support campaign measurement determine incremental lift from marketing activities and manage reporting and data needs (ingestion cleaning delivery).
• Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
• Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
• Ensure continuous collaboration and progression across bands disciplines and offices.

Skills and Experience

• 36 years of relevant industry experience in analytics-focused roles.
• Degree in an applied quantitative field (data science mathematics statistics engineering economics business management computer science or related).
• Understanding of marketing campaigns objectives and measurement techniques; prior experience in digital agency or consulting preferred.
• Proficient coding skills in statistical software (R Python SciPy) programming languages (SQL Python) and MS Office tools (especially advanced Excel/Google Sheets).
• Experience in owning and delivering analytics projects including correlation regression significance testing A/B tests and supervised machine learning.
• Practical understanding of data science techniques statistical analysis and modelling.
• Passion for data analysis troubleshooting data anomalies integrating data from multiple sources to create repositories for data science models.
• Ability to transform raw data into actionable business insights for decision-making and strategic planning.
• Strong logical thinking problem-solving and stakeholder management skills.
• Excellent verbal and written communication skills.
• Adherence to quality standards and ability to plan and prioritize work.
• Experience using or building reports with business intelligence tools is a plus.
• Experience in applying big data statistics and analytical techniques to solve client problems is preferred.
• Business acumen to provide actionable strategic recommendations is preferred

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work and were just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions grow their networks and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins sharing thought leadership and celebrating holidays and milestone events. Our benefits include competitive medical group retirement plans vision and dental insurance significant paid time off preferential partner discounts and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when were together fostering creativity collaboration and connection. Thats why weve adopted a hybrid approach with teams in the office around four days a week. If you require accommodations or flexibility please discuss this with the hiring team during the interview process.

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