Business Analytics Manager

Get to know our Team:

• Manage the processes and team responsible for accurate data collection, processing, modeling and analysis.
• The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

Get to know the Role:

• Work closely with leaders across PayOps, Payment Risk , Chargeback, Training, Products, and other department to
  support and implement high-quality, data-driven decisions. Ensure data accuracy and consistent reporting by
  designing and creating optimal processes and procedures for analytics employees to follow.
• Use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from data and
  leverage these insights into initiatives that will support business outcomes.
• Apply their exhaustive knowledge of data analysis to solving real-world problems faced by PayOps and finding opportunities for improvement across multiple projects, teams and business units.

The day-to-day activities:

• Functional - Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization
  opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Recruit, train, develop and supervise analyst-level employees.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
• Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
• Own and manage relationships with new and existing payment partners
• Define, track, analyze, and own payments Key Performance indicators.
• Work cross functionally to identify, replicate, size, and resolve payments related issues
• Shape GrabPay & payment reporting and analysis processes
• Customer - Ensure customer metrics target for the team is met.
• Coordinate with internal and external customers as necessary
• Familiarize the team with the customer needs, specifications, design targets, the development process, design standards, techniques and tools to support task performance
• Assure that the team addresses all relevant issues within our grab standard policy
• Financial - Ensure our team cost to serve is within budget.
• People - Create an environment oriented to trust, open communication, creative thinking, and cohesive team effort
• Ensure employee engagement scores is met.
• Provide the team with a vision of the project objectives

• Motivate and inspire team members

• Lead by setting a good example (role model)

• Coach and help develop team members

• Facilitate problem solving and collaboration

• Strive for team consensus and win-win agreements

• Ensure discussions and decisions lead toward closure

• Maintain healthy group dynamics

• Intervene when necessary to aid the group in resolving issues

• Assure that the team members have the necessary education and training to effectively participate on the team

• Encourage creativity, risk-taking, and constant improvement.

• Recognize and celebrate team and team member accomplishments and exceptional performance.

The must haves:

• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
• Experience writing advanced SAS code statements, models, and macros.
• Experience working with and creating databases and dashboards using all relevant data to inform decisions.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Strong problem solving, quantitative and analytical abilities.
• Strong ability to plan and manage numerous processes, people and projects simultaneously.
• Excellent communication, collaboration and delegation skills.
• Strong programming skills with querying languages: SLQ, SAS, etc.
• Experience with big data tools: Teradata, Aster, Hadoop, etc.
• Experience with testing tools such as Adobe Test & Target
• Experience with data visualization tools: Tableau, Raw, chart.js, etc.
• Experience with Adobe Analytics and other analytics tools
• Programming languages
• Experience with Excel, Word, and PowerPoint.
• In-depth knowledge of performance metrics
• Excellent communication and leadership skills
• Organizational and time-management skills
• Decision-making skills

• Possibility to work on weekends (flexible schedule)

• Be detail and quality oriented as well as have strong analytical and problem solving skills.

• Possess excellent verbal and written communication skills.

• Be able to think outside the box and make balanced and unbiased decisions based on all available information.

• Make balanced and unbiased decisions.

• Demonstrate a strong customer service orientation as well as conflict management skills and the ability to deliver difficult messages in the best way possible.

• Ability to demonstrate composure and a high degree of professionalism when in high pressure situations