Are you looking to combine your passion for technology with your penchant for strategic problem solving? Are you a champion on structuring data and distilling insights that will impact business decisions? Do you want to be part of an innovators team devoted to delivering solutions to our customers?

We are looking for a Data Analyst to be our guide and support to make strategic decisions. We need someone that knows how to apply a diverse set of tactics including statistics and quantitative reasoning to learn and produce actionable insights from large, complex, multi-dimensional customer behavior and performance data sets. We need an enthusiastic team player and critical thinker to join our team. 

To be successful in this role, you need:

  • An analytical background with experience applying analytical techniques to design and implement models and algorithms to inform and solve for customer health and value realization

  • Enjoy working with different stakeholders to collect data, develop and maintain operational reports and dashboards to monitor overall customer health 

  • Develop resources to educate cross-functional teams on the reports and dashboards and support self-service data accessibility, so your expertise can be used where it is most impactful

  • Enjoy partnering with stakeholders to develop ad hoc analysis as needed and support data-driven decisions by applying descriptive and predictive analytics where it will have a material impact

  • The ability to tell stories about data through visualization, and communicate your findings to Customer Success leadership in a clear, concise and influential manner

  • Collaborate with multidisciplinary teams including Sales Operations, Data Engineering, Finance, Support, etc. to improve or define processes that promote data integrity and reporting functionality

  • Partner with technology teams for business enhancement requests, data and reporting issues

  • To feel comfortable managing multiple projects simultaneously to meet objectives and key deadlines with the flexibility to adjust to changing priorities

  • Strong attention to detail, technical intuition and ability to understand complex business systems


Some of the tools and resources we will equip you with include:

  • During your first few weeks of joining Appian, not only will you go through comprehensive onboarding and Appian training, but you will also complete a CS specific bootcamp to prepare you for working with Appian CS.

  • Continuous learning opportunities are a key focus for our department. Whether it is companywide weekly knowledge shares, biweekly continuing education sessions led by fellow CS members, guild participation, or free online trainings, there is always somewhere to turn for technical and professional growth.

  • Appian’s customer success group is quickly expanding but the culture continues to make the department feel like a small community. Monthly social events are planned virtually and in the DC area by our Center of Funcellence while our First Year Experience (FYE) group concentrates on creating a smooth transition for all new employees entering the working force for the first time.

  • A collaborative work environment where your ideas will be heard and you will contribute to shape the future of the group.



Basic Qualifications:

  • B.S. in Mathematics, Statistics, Business, Finance, Computer Science or related field

  • 3-5+ years of analytical experience in consulting, data engineering, data science or product/BI analytics.

  • Expert knowledge in data modeling concepts and implementation.

  • Experience analyzing SaaS company financial data (e.g. NRR, ARR, GRR, etc..) or experience with technology companies' customer success processes.

  • Fluency with statistics techniques to structure analyses and provide insights (e.g. statistical tests, AB testing).

  • Hands-on experience in processing extremely large data sets.

  • Experience with Tableau and other reporting and visualization platforms.

  • Microsoft Excel Expert. MySQL, MariaDB, R programming knowledge

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