Associate Director - Data Analytics

TIAA

pune,maharastra

Job Description

About the job

About the job

Position Summary : The Data Analytics job manages multiple teams led by managers or team leaders that gather, analyze, interpret and visualize enterprise wide analytics data, identifying insights that ultimately inform business, customer experience, product development and marketing decisions. This job oversees the development of analysts in both Data Engineering and Business intelligence. This job owns adherence to the development of standards and controls, data quality and assurance, and implementing those standards across the entire team, and in conjunction with business partners in the US.

Impact : High quality data that is vetted, trustworthy and consistent is used to ensure high quality customer service, efficient distribution management and critical inputs to strategic planning and performance measurement. Enterprise delivery of data and insights via Tableau are a critical enabler to a higher performing distribution platform that supports all elements of sales, service and support

Functional Responsibilities:

• Leads the implementation of enterprise analytics development work for both business intelligence and data engineering needs.
• Enforces policies and procedure in partnership with onshore analytics leaders to ensure consistent, reliable data output - educating and enforcing adherence of standards across the team.
• Consults on the development of new standard operating procedures based on knowledge of existing and emerging analytics principles, theories and techniques to inform business decisions and the operating model.
• Establish systems of controls and Quality Assurance to ensure adherence to data quality and automation in alignment with IT standards.
• Communicates with leadership on analytics matters to ensure enterprise-wide understanding of their contribution to a mature analytics organization’s success.
• Perform administrative and support activities including security administration, release management and troubleshooting.
• Perform development activities from gathering requirements and designing solutions, through developing code / reports, to testing and release / deployment.

People Responsibilities:

• Manages performance of team through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation and development of team.
• Coach and develop junior teammates to build skills and enhance productivity.
• Ensure proper alignment of resources across competing priorities in the Business Intelligence and Data Engineering teams

Job Requirements And Qualifications:

Required Education: Bachelors Degree in data analytics/computer science or engineering

Certification in Data Science OR A Grad degree in Data Science/Engineering.

Required Experience: 10+ years

Experience, Skills and Abilities:

Experience:

• Demonstrated experience in leading a cross functional analytics delivery team, encompassing both data engineering and business intelligence.
• Familiarity with advanced analytics concepts, tools and techniques

Skills:

• Strong people management skills, building a high performing, inclusive culture.
• Exceptionally good interpersonal and communication skills including ability to communicate complex information and analysis in written and visual forms
• High attention to data accuracy
• Ability to work in an agile team
• Critical thinking to ask questions, determine best course and offer solutions
• Continuous improvement mindset
• Ability to understand the big picture
• Teamwork skills within the department and on project teams
• Demonstrated ability to work effectively in a fast-paced, complex, and dynamic business environment
• Demonstrated and dynamic analytical/problem solving skills.

Special skills or Certifications :

• Leadership experience in a cross-functional environment
• Familiarity with modern data tools, including Snowflake, Alteryx & Tableau
• Understanding of core data science principles preferred