Data & AI Delivery Lead (Financial Services)

Customer and Marketing Analytics professional drive supporting client’s business challenges around marketing costs and improve marketing effectiveness. Or perhaps provide analytics services that stimulate commerce sales, strengthen customer loyalty, and generate purchases.

As a Customer and Marketing Analytics professional, the individual will help drive sales and solutioning of data science/analytics engagements, manage and/or supervise project delivery, mentor teams, build new capabilities, support/contribute to thought leadership and building new skills.  The candidate should be able to seamlessly work with Client teams in positioning data science/analytical capabilities and with help of them drive and deliver data science/analytics engagement.

The successful candidate should have strong consultative, business and communication skills in addition to quantitative ability. As well as be exposed to the challenges of using statistics in a business setting, such as incomplete data, biased data, large data sets, low signal-to-noise ratios, high variance, and multiple objective functions. Requires being creative and resourceful and will utilize traditional statistical methodologies as well as newer techniques from computational statistics and data mining and big data capabilities with deep experience in logistic regression, cluster analysis, neural nets, and other segmentation models and Generative AI.

Preferred Skills:

• Synthesizes data and methodologies into actionable business strategies.
• Enhances data collection procedures for building analytical systems.
• Leverage on analytics to increase and optimize customer experiences, revenue generation and other business outcomes.
• Perform actionable diagnostic analysis on performance to produce quality insights, drive business strategies and maximize organizational efficiencies.
• Lead the effort to improve overall analytics effectiveness including advanced segmentation and personalization for use on the site as well as in executive dashboards, alternative key performance metrics, funnel analysis, and function specific reports. Ensure that the analysis includes actionable insights that are appropriately calibrated and communicated to different levels and groups with the organization.
• Perform predictive analysis such as customer segmentation, propensity modeling to help understand customer behavior and preferences. This can help to hyper-personalize customer engagement by reaching out to the right customer with the right channel, right time and right product.
• Analyze impact of marketing spend across multiple channels, showing how various element contribute to the goal (e.g. awareness, conversion) and provide the optimal mix of spend allocation which help drives highest ROI.
• Analyze price and promotion mechanics to determine how customers contribute to profitability and respond to existing pricing and promotion. This will help to identify the right price and promotion mechanic for each product by channel and the impact a price change has on the total sales of the product.
• Be the Subject Matter Expert on Finance/Banking industry to produce a comprehensive view of customer behavior across all selling (online/offline) and marketing channels (digital/print)
• Analyze past campaign performances to identify key learnings, what worked well and what didn’t to be applied and scaled to other campaigns. Also, generate strategies based on data-driven insights from campaign outcome.
• Establish strong relationships with business stakeholders and executives and become a trusted advisor for analytics, business insights, site changes, and new initiatives and opportunities. 
• Analyzes raw information through statistical analysis to discover trends or patterns that can be used for building data products to extract valuable business insights.
• Collaborates with the company’s business clients to identify gaps and structure problems as well as to propose solutions and strategies to business challenges.
• Define a client’s eCommerce Strategy across D2C, B2B, B2B2C channels including product, pricing, promotion, digital marketing across ecommerce platforms.
• Assess current maturity on ecommerce/digital marketing capabilities and provide inputs to scale up client’s capabilities.
• Recommend actions on improving campaign performance (on platform/off platform)
• Work with Marketing heads and Brand teams to understand/drive brand’s digital agenda on ecommerce platforms and frame detailed digital media plans.
• Gather and analyze business requirements and translate them into functional and technical requirements specification.
• Assess and evaluate business process, business model, and organization to identify areas of improvements, define/propose potential business and technology solution to enhance business performance.
• Leverage on A/B testing as part of test and learn initiative to help clients identify certain hypothesis and scale it to other campaigns based on key learnings.

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