Tableau developer

• Support & lead partnerships with key Ops stakeholders and Ops Product groups with strong understanding of business drivers, underlying data and processes
• Support Product strategy groups by providing data and analytics leadership across the CCB Ops organization
• Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools and quantitative methods such as trend analysis, segmentation, forecasting, optimization, and other techniques to improve business function performance.
• Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points
• Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies
• Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, leadership teams and business partners in regularly-scheduled analytics meetings chaired by the analyst in this role
• Support the creation of automated visualizations using Tableau, Adobe Analytics,SQL, Alteryx to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics
• Embrace a growth and learning mindset; proactive and creative; collaborative, team-oriented and client-focused; motivated by business and technical challenges
• Leadership: The ideal candidate will (at a minimum) exhibit the below leadership abilities:
  • Make smart decisions that will have an impact on both business and people
  • Solve business problems having highest complexity level
  • Should be self-motivated and able to coach team for consistent high performance
  • Able to help manager in identifying and onboarding talents across industry, mentor newer team members and identify growth opportunities for existing team members

Qualifications and Required Skills:

• Bachelors or Master's degree in a quantitative or related field
• 5+ years of related experience
• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
• Hands-on experience with standard data analytics tools and technologies ( at least four of SQL, Python, SAS, Tableau, Alteryx)
• Experience delivering analytics solutions under strict timelines quick turn-around time
• Familiarity with data mining, statistical concepts, forecasting, predictive modeling, machine learning and other advanced analytics methods
• Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills
• Comfortable making decisions under uncertainty and ambiguity, and proven ability to structure problems and develop analytical frameworks while addressing business and technical risks
• Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment
• Should have a very good understanding of IT processes and databases. Should be able to work directly with data owners/custodians and contribute in building analytics data hub
• Leadership drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus
• Superior judgment to mitigate risk, and to foster an environment where risk/control issues are escalated and trends are anticipated and identified