Finance Manager(Data Analytics)

**Job Details****What you will do**The GP Finance Manager (Data Analytics) will be responsible for ERP project Record-to-Report process rationalization, mapping, simplification, and harmonization at enterprise level. In addition to that, this role will support Finance Director SAP & PMO Manager in RTR processes model design, its governance and going forward policy changes, when required. The Finance Manager RTR is a Finance, IT and accounting transformation agent, this includes controlling RTR initiatives managing internal andexternal structures. This role is also responsible to work with R2R workstream Global Process Owner (GPO) to ensure consistency and interdependencies are well managed.**Duties and Responsibilities**:- Support finance transformation program for R2R areas in collaboration with the various project leadership team and stakeholders. Execute the Enterprise Foundation Design Decision in regional ERP implementation with business segment ERP construct and deploy.- Participate in transformation based on future state end-to-end R2R processes design for global finance (all cycles in all geographies and for all reporting jurisdictions). Future processes will be in-line with S4/Hana and Oracle Fusion models and must address simplicity, standardization, and scalability. Ensure business scenarios that are unique and require specific processes are captured, documented, and benchmarked.- Support RTR Workstream GPO to set up finance process at Enterprise level to valuate company’s finance process to ensure efficiency and compliance, as well as identify gaps and opportunities for improvement. Make recommendations to policy or procedure changes as it pertains to system changes, and updates operational guidebooks- Key role for ERP implementation working closely with the various team and acts as implementation partners and across finance functions (RTR/PTP/OTC) with RBC. Provide recommendations and drive decisions critical for the success of the implementation.- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.- Assess the effectiveness and accuracy of new data sources and data gathering techniques.- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.- Coordinate with different functional teams to implement models and monitor outcomes.- Maintain clear and coherent communication, both verbal and written, to understand data needs and report results- Participate in system UAT testing during deployment and provide guidance to RTR project lead for various program to align with Enterprise RTR strategy.- Support Enterprise R2R GPO for all Finance systems implementation strategies including architecture of processes, collection, and validation of global business requirements, identifying user cases, preparation and facilitating user testing and training from R2R state point.**Skills Required**:- We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models Strong problem solving skills with an emphasis on product costing- Experience using statistical computer languages (Powr BI, Ansible, Power Shell, SQL Plus, etc.) to manipulate data and draw insights from large data sets.- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.- Excellent written and verbal communication skills for coordinating across teams.- Experience in designing and documenting process flows- Previous experience with ERP global templates- Fluent in English language- Strong analytical problem-solving, operational implementation, coordination and influencing skills and ability to manage complex program- Strong business acumen, resilient, agile learner, organized, detail oriented, and high business ethical standard- Comfortable and able to perform in a matrixed environment, working with people outside the direct team- Excellent skills in Microsoft PowerPoint and Excel- Excellent skills in HFM / OneStream- Identifying relevant data sources for business needs.- Collecting structured and unstructured data.- Sourcing missing data.- Organizing data in to usable formats.- Building predictive models.- Building machine learning algorithms.- Enhancing the data collection process.**Education**- Bachelor's Degree in computer science and/ or accounting required- Data Analytics- Data Science- Fluent in Power BI, Ansible, SQL, Bash ScriptsJohnson Controls does not request pregnancy or HIV testing as a requirement for admission, permanence or promotion.