Manager

Lead operational analytics strategy across teams. Ensure data-driven decision-making in operations. Partner with leadership to drive business goals through operational insights.

This is a client-facing role intended to bring strategic thought-leadership and analytical rigor to our Analytics practice, as well as to provide onshore presence and guidance to our offshore delivery model.

Bachelor�s degree in Business, Data Science, Operations, or related field. 4-6 years of experience in operational analytics, business analytics, or related fields.

• Understanding of how analytics is used in decision making in one or more industries (e-Commerce, Retail, Software, Tech, COG, etc.) and functional areas (marketing, customer analytics and insights, product, operations, etc.)
• Strong understanding and ability to interpret analytics solutions/models. Prescribe suitable solutions with an understanding in limitations of toolsets and available data
• Experience in managing procurement of data from various sources and perform data audits
• Experience in using BI/Visualization tools (Tableau, PowerBI etc.)
• Excellent communication skills (both written and verbal) as well as ability to present complex technical concepts to a non-technical audience
• Strong project management and organizational skills
• Strong problem-solving and troubleshooting skills. Proven experience in prioritizing and delegating work to meet deadlines, objectives, and quality metrics

Lead operational analytics strategy. Partner with leadership on data driven decision-making. Ensure team�s alignment with business goals.

In this position, you will:

• Partner with our F1000 clients and their senior management teams to understand business objectives, frame key business questions and translate them into analytics solutions
• Work with business and technology partners in cross-functional teams to understand the client's data ecosystem and data availability
• Lead solution design for performance dashboards, predictive and prescriptive analytics models to solve specific problems in the domain of marketing, eCommerce, customer or operations analytics
• Apply your experience and expertise in data science methods, problem-solving, storytelling to capture meaningful insights and recommendations from data and work with the client partners to action those recommendations within the organization
• Define analytics project roadmaps for clients aligned to their specific business objectives
• Facilitate, track, coordinate and communicate reactive and proactive support status and enhancement requests, between the client stakeholders and eClerx delivery teams via written documents and presentations; communication will range from high level to detailed level depending on need and will take the form of specifications, diagrams, and data/process models
• Have the ability to perform tasks independently, lead analytics delivery teams, and direct the efforts of junior analytics consultants
• Own end-to-end management of analytical modeling projects; ensure quality, accuracy, relevance, and consumption of analytical results and recommendations
• Most importantly, the successful candidate will be a team player and collaborator within the eClerx ecosystem across multiple geographies (delivery teams are based in the US, Canada, EU, and APAC)