Director - Analytics - Digital Marketing Firm

Our Client is the captive unit of one the worlds best Digital Marketing firms

Not only do they work with the best Brands in various industries they are also one of the best places to work in

Their leadership is evident in nearly 50 years of innovation in Loyalty, CRM marketing and Digital marketing programmes for their clients

The role is based in Bangalore

Summary:

The Analytic Consulting Group partners with internal and external clients and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making. The Director provides a clear, strategic vision and a plan for bringing actionable, innovative analytic solutions to market.

Responsibilities:

- Collaborate with internal and external stakeholders to understand the client's business situation and develop data-driven insights that can be understood and implemented to drive marketing strategies

- Align with the overall business strategy when driving the direction of the team, projects, and processes

- Provide overall direction to the development of advanced analytic solutions and strategies to new and existing clients

- Develop project requirements, analytic plans, SOWs, project timelines, and other related materials for the management of deliverables

- Serve as the primary point of contact for all phases of the project; from problem definition to presentation of results

- Manage multiple resources and projects concurrently to ensure successful completion of analytic projects

- Account for the overall management of analytic projects; including profitability, timeliness, quality and client value

- Formulate insights, championing and driving insights into action

- Create compelling presentations that provide actionable insights and recommendations

- Explore and capitalize on opportunities to cross-sell and up-sell existing clients

- Support the sales process by assessing prospective clients- needs and crafting and presenting proposals that meet those needs

- Provide developmental and managerial leadership to the Analytic Consulting Group

- Enhance internal relationships to ensure the objectives of our clients are being met

- Prioritize and monitor project progress against goals

- Communicate and engage with key internal business partners and the firm's clients to collaboratively solve business problems

Minimum Qualifications:

- Bachelor or Master's degree in a quantitative discipline

- A minimum of 8 years- professional hands-on experience with statistical modelling, data mining, and advanced segmentation using large marketing databases

- A minimum of 5 years proven managerial or supervisory experience

- Proven experience managing and delivering a wide variety of analytic solutions to internal and external stakeholders

- Solid planning, priority setting, and project management skills with experience managing multiple projects and resources concurrently

- Proven experience influencing a business or marketing strategy through the application and/or management of advanced statistical techniques and data-driven solutions

- Strong understanding of consumer behaviour and marketing analytics

- Excellent verbal and written communication skills and good at developing relationships across diverse teams (including statistical, technical, and marketing resources)

- Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables

- Highly motivated, collaborative, and innovative

- Strong technical skills

Desirable Qualifications:

- Advanced degree (Master- s/PhD) in Statistics, Economics or other quantitative discipline

- [Industry-specific] marketing experience/knowledge

- Demonstrate superior leadership to the broader business and internal team

- Excellent coaching and mentoring skills

- Hands-on programming experience in SAS, SPSS, or related language

- Travel 5-10%

- Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies