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Your role at Dynatrace

Dynatrace is seeking a strategic, technically expert, and autonomous Senior Manager of Sales Analytics to lead our data-driven transformation across global sales operations. This is a high-impact role that will shape how Dynatrace leverages data, AI, and advanced analytics to drive sales performance, operational efficiency, and executive decision-making.

You’ll own the sales analytics roadmap, mentor a team of analysts, and partner across departments to deliver scalable, governed, and high-impact analytics. Success in this role requires strong leadership, hands-on technical expertise, fluency in AI concepts, and the ability to operate independently while influencing senior stakeholders.

Key Responsibilities

+ Define and execute a scalable analytics strategy that delivers actionable insights to sales leadership and field teams.

+ Lead and develop a high-performing analytics team, balancing mentorship with hands-on execution.

+ Build and optimize advanced Power BI dashboards and predictive models for pipeline forecasting, consumption tracking, opportunity scoring, quota setting, and churn prediction.

+ Apply data-science techniques and explore LLMs and AI capabilities to enhance segmentation, forecasting, and enablement.

+ Collaborate with Business Systems, the Transformation Office, and Enterprise Data & Analytics teams to drive change management, align on SDLC practices, uphold governance standards, and build certified data products aligned to enterprise metrics and definitions.

+ Design frameworks that reduce noise, prioritize effectively, and support cross-functional alignment across Sales Ops, Marketing Ops, Finance, and Strategy.

+ Champion analytics adoption through enablement programs such as office hours and dashboard literacy sessions.

+ Present insights clearly to senior leadership, simplifying complex datasets for non-technical audiences.

**Location:** Remote (Eastern or Central Time Zones)

What will help you succeed

+ 10+ years of experience in Sales Analytics, Data Science, or Business Intelligence, including at least 3 years in a leadership role.

+ Expert-level proficiency in Power BI, including DAX, data modeling, and performance optimization.

+ Strong working knowledge of Snowflake, SQL, and Python; experience with LLMs or AI applications is a plus.

+ Deep familiarity with Salesforce (SFDC), including reporting, data structures, and integration points.

+ Demonstrated success leading change management initiatives and implementing SDLC best practices in enterprise environments.

+ Solid understanding of sales processes, including renewals, pipeline management, key metrics, and forecasting methodologies.

+ Proven leadership and communication skills—able to build, mentor, and empower analytics teams while influencing executive stakeholders.

+ Bachelor’s degree in Analytics, Business, Statistics, or a related field; Master’s degree preferred.

Why you will love being a Dynatracer

+ A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly.

+ Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research.

+ A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.

+ An environment that fosters innovation, enables creative collaboration, and allows you to grow.

+ A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.

+ A truly international mindset with Dynatracers from different countries & cultures all over the world, and English as the corporate language that connects us all

+ A culture that is being shaped by the diverse personalities, expertise, and backgrounds of our global team.

Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law.