Journey Data Analyst

Job Description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you'll do

The Journey Data Analyst has critical role in marketing performance optimization across channels and mini journeys. Leveraging advanced analytics, AI-enhanced analysis and reporting, this role works collaboratively across teams to deliver proactive, data driven insights that improve marketing effectiveness. The role requires strong accountability, active listening, and the ability to connect stakeholders, enabling alignment and supporting the organization’s ongoing evolution through insight-led decision-making. This role requires hands on experience with complex data structure environments.

What you'll bring

• Partner with Channel Specialists and Multi Channel Leads to analyze performance across tactics, actively listening to business needs and aligning analytical outputs to shared objectives.

• Support cross-channel and journey performance analysis, including root cause analysis, to understand performance drivers, identify trends, and surface risks and opportunities.

• Contribute to the development and maintenance of cross-channel performance measurement frameworks, including KPIs, targets, forecasts, and benchmarks.

• Use dashboards, AI-assisted analytics and reports to turn data into clear, actionable stories, ensuring insights are communicated transparently and support accountability, alignment, and informed decision-making across teams.

• Proactively surface insights on how channels and touchpoints contribute to performance, enabling informed discussions and alignment across teams, with a strong focus on conversion rate optimization and key journey drop-offs.

• Collaborate across functions to prioritize analytics efforts, connect perspectives, and support organizational change through data-driven insights.

• Use AI tools to speed up insight generation, automate recurring optimization analysis and summarize complex datasets into clear recommendations. Create and maintain prompts, templates, and best practices so Journey Analyst team can reliably self‑serve AI-powered insights.

• Identify optimization and personalization opportunities to improve engagement and conversions, clearly communicating recommendations to diverse stakeholders.

• Ensure consistent and trustworthy reporting by supporting data quality, tagging, tracking, and governance processes across multiple channel experiences.

What you'll bring

• Analytical Mindset: You thrive on diving deep into data to uncover insights that drive impactful optimizations.

• Problem Solving and Experimentation: You enjoy breaking down ambiguous problems into clear hypotheses and structured tests, using data, AI‑driven insights, and creativity to uncover impactful optimization opportunities.

• Storytelling: You translate complex data and AI‑generated findings into clear, human‑centered narratives that reflect real customer needs and behaviors, enabling teams to make confident, customer‑first data driven decisions.

Key Requirements

• 4 years of hands-on experience in data or marketing analytics roles, ideally within a B2B or B2B SaaS environment.

• Exposure to multiple digital marketing or media channels (e.g., paid search, paid social, display, email, web) and different campaign objectives (awareness, lead generation, conversion).

• Practical experience working with data to analyze funnels, journeys, and conversion performance, including defining hypotheses and supporting A/B or multivariate tests.

• Experience using AI tools in your day-to-day work (for example, to explore data, generate insights or summaries, support decision-making, or accelerate analysis workflows).

1. Technical Skills:

• Knowledge on web analytics tools such Adobe Analytics or Google analytics

• Strong skills in Excel/Sheets and some experience using SQL and/or Python (or similar) for querying, transforming, and analyzing data.

• Experience with data visualization platforms like SAP Analytics Cloud, Tableau or Power BI.

1. Soft Skills:

• Strong storytelling skills to translate complex analyses into clear, concise insights for both technical and non‑technical audiences.

• Collaborative mindset and strong communication skills to work effectively with cross‑functional teams.

• High adaptability and willingness to learn new tools (including AI), methods, and channels in a fast‑changing environment.

Meet the team

This team fosters a collaborative, insight‑driven culture where trust, accountability, and curiosity are central, and people work closely together to solve complex problems and turn data into clear, actionable outcomes. It’s a workplace where analytically curious, adaptable professionals thrive and have the opportunity to influence how AI elevates the analysis of marketing multi‑channel experiences.

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is 69800-152300USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 452408 | Work Area: Marketing | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid