Wolters Kluwer Tax & Accounting, Global Sales Operations team is looking for a Data Scientist, Global Sales Operations to work in the New York, NY area with Hybrid or Remote options.
The Data Scientist, Global Sales Operations role will be pivotal in improving our business intelligence and applied data science maturity within our business. We are looking for an experienced Data Scientist that has a track record of planning, developing, optimizing, and implementing data structure and analytics for sales and retention metrics across many technology platforms to support our sales organization – primarily in North America but potentially across all the Global businesses in the Tax and Accounting Division: North America, TeamMate, Tagetik, Europe, Asia Pacific.
This role will be incredibly innovative and have creative license to build a data science strategy within the broader analytics function for Global Sales Operations.
Essential Duties And Responsibilities
- Creation and implementation of a data science strategy within retention for the TAA Global organization
- Provide leadership in one or more areas of Data Science and Power BI development that includes operational program management, design analysis, documentation, and business adoption
- Perform analysis of sales, commercial, and operational processes, recommend opportunities for process unification, simplification, and re-engineering where appropriate
- Serve as liaison between senior leadership and Analytics / Engineering roles to identify, communicate, and execute on requirements over roadmaps that span 1-3 years
- Present and teach data science concepts to business stakeholders, with an eye to best practice sharing on current data-centric approaches to solving sales business challenges
- Contribute to the long-term planning and strategy for developing strategies that incorporate global economic and other external data sets into commercially focused Analytics and Data Science disciplines
- Develop, execute, and measure through data success metrics, a global sales system onboarding program and design processes for scale and efficiencies
- Develop and measure key performance metrics that highlight the impact of our programs
- Leverage tools and software to increase efficiencies and incorporate innovation
- Create and oversee the communications strategy for the key data and programs to a wide variety of stakeholders
- Build and maintain strong relationships and collaborate with key members of the Sales Management, Enablement, Analytics, Engineering, and Marketing teams along with the extended members of the sales teams
- Lead and support sales enablement initiatives as required to include data structure strategy, planning and execution to solve complex challenges and keeping line of sight to performance data
- Create and maintain Customer Journey Maps and use to identify data metrics to track for KPIs of the presales, sales, and implementation of the customer journey
- Create regular reports to track and communicate progress to key stakeholders
- Coordinate resources and deliverables timely to ensure successful achievement of timelines and objectives
- Create, improve, implement, and enforce sales operational processes and policies to drive consistent and measurable success in the Sales organization
- Create process documentation, user guides and communications to the sales force.
Other Duties
Performs other duties as requested by Manager.
Travel Requirements
Some Travel, up to 25% of time
PHYSICAL DEMANDS
- Normal office and travel requirements.
Qualifications
Education:
Minimum: BS in data science, statistics, economics, computer science or other quantitative field. Advanced degree preferred.
Preferred: Master’s Degree in related field.
Experience
Minimum Experience: 5+ years’ experience in a data science role(s) in career to date. Ability to talk thoroughly about projects implemented and value imparted on business through data science.
Preferred Experience (includes minimum):
- A candidate who has a demonstrable track record in applied data sciences within a sales and retention organization is preferrable.
- Knowledge of a, or suite of, data science tools and IDEs: Python, R, Anaconda are examples
- Experience in Sales, Sales Process, Project Management and Process Improvement
- Knowledge of Power BI (a selected global BI tool for the team) – architecting solutions, DAX, report building, use of Power BI Service, DataFlows/Data Marts, RLS
- Knowledge of Salesforce, and its associated architecture
- First-hand experience with progressive sales automation systems and demonstrated ability to improve sales productivity, based on use of sales automation
- Excellent project management and detail-orientation skills
- Understanding of the mindset and training and retention concepts that are most successful with sellers
- Ability to work cross-functionally and collaboratively with stakeholders in all departments
- Ability to learn quickly and work independently in a busy fast-paced environment
- Ability to pivot, when necessary, without sacrificing quality
- Superior communication, writing, and presentation skills a must
- Experience supporting Global software organization with data strategy
- Cross Cultural experience for Global operation programs
- Knowledge and experience in Tax and Accounting Industry and with corporations: office of CFO
- Knowledge of a, or suite of, data science tools and IDEs: Python, R, Anaconda are examples
- Knowledge of applied data science algorithms: regression, clustering, ANN are examples. Ability to thoroughly describe applied uses of these algorithms.
- Power BI
- Proficiency in MS Office Suite with advanced Excel working knowledge
- Project Management Software
- Salesforce
- Spekit
- LMS
Other Knowledge, Skills, Abilities Or Certifications
Preferred:
- Strong analytical and research skills
- Advance level usage of Excel
- Advance level usage of Salesforce.com
- Experience with various CRM systems
- Extensive knowledge of processes and systems utilized
- Demonstrated ability to interface with sales people, all levels of management and experience working across multiple functional groups and in cross cultural scenarios required
- Highly skilled in strategic data interpretation and visual representation
- Advanced professional communication skills both written and verbal
- Ability to function in a fast-paced collaborative and in a matrixed organization
- Strong work ethic and passion for excellence