Senior - Data Analyst

We are looking for a dynamic and detail-oriented DP-Consultant specializing in Adobe Analytics to join our growing team. As a key member of our Data and Analytics practice, you will work closely with clients to design, implement, and optimize Adobe Analytics solutions that drive data-driven decision-making. Your expertise in Adobe Analytics will empower clients to extract actionable insights from their digital data, improve marketing performance, and accelerate business growth. You will also be responsible for providing strategic guidance, conducting technical implementations, and ensuring clients maximize the value of their analytics investment.

Key Responsibilities:

• Adobe Analytics Implementation: Lead the design, configuration, and implementation of Adobe Analytics solutions for clients. Ensure the deployment meets business objectives and that data collection, reporting, and analysis are aligned with client goals.

• Client Consultation & Strategy: Partner with clients to understand their business requirements, translate these into actionable analytics strategies, and provide advice on best practices for setting up Adobe Analytics (e.g., report suites, data layers, and tracking strategies) to ensure scalability and accuracy.

• Data Analysis & Reporting: Leverage Adobe Analytics to create insightful reports and dashboards highlighting key performance indicators (KPIs). Provide regular and ad-hoc reports on digital performance, customer behavior, and marketing ROI to help clients make data-driven decisions.

• Tagging & Data Layer Management: Work closely with development teams to implement and manage tag management systems (TMS) such as Adobe Dynamic Tag Manager (DTM) or Adobe Launch. Ensure accurate and consistent tagging across digital properties for reliable data collection.

• Optimization & Troubleshooting: Continuously monitor and optimize Adobe Analytics setups to enhance data accuracy, site performance, and reporting quality. Troubleshoot and resolve implementation issues to ensure a seamless user experience and dependable data tracking.

• Training & Knowledge Transfer: Conduct training sessions and provide documentation to clients, enabling them to independently manage and effectively use Adobe Analytics. Share best practices and guidance to empower client teams with the knowledge they need to succeed.

• Collaboration: Work cross-functionally with data engineers, marketing teams, and other stakeholders to integrate Adobe Analytics with other platforms (e.g., CRM, A/B testing tools, other Adobe Experience Cloud products), ensuring consistent data flow across systems.

• Continuous Improvement: Stay updated on the latest trends and updates in Adobe Analytics and the broader analytics ecosystem. Suggest proactive enhancements and optimizations to help clients stay ahead of their competitors.

Qualifications:

• Bachelor’s degree in Business, Marketing, Computer Science, Data Analytics, or a related field.
• 3+ years of hands-on experience implementing and configuring Adobe Analytics, including expertise in creating reports, dashboards, and data analysis.
• Experience with Adobe Experience Cloud and related tools (e.g., Adobe Target, Adobe Audience Manager, Adobe Launch).
• Proficiency in web analytics and digital marketing metrics (e.g., conversion rates, traffic sources, user engagement).
• Solid understanding of tagging methodologies and experience with tag management systems such as Adobe Launch, DTM, or Google Tag Manager.
• Strong analytical skills with the ability to translate complex data into clear, actionable insights.
• Experience in an agile work environment and collaborating with cross-functional teams.
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.

Preferred Skills:

• Adobe Analytics certification or other relevant certifications (e.g., Adobe Certified Expert).
• Familiarity with JavaScript, HTML, or other coding languages to help troubleshoot and enhance tagging and tracking implementations.
• Experience with other analytics tools such as Google Analytics, Tableau, or Power BI is a plus.
• Familiarity with advanced analytics techniques like segmentation, cohort analysis, and predictive modeling.