Solutions Architect – Advanced Analytics (Pre-Sales)
Location: Remote (with ability to travel to client locations as needed)
Our client is a leader in providing Fortune 500 companies with innovative business process management, data-driven insights, automation and advanced analytics. Their customizable services and solutions optimize the way companies conduct business by streamlining processes and improving business performance. This role on their Solutions Consulting team is a unique opportunity that allows you the freedom and opportunity to work across diverse domains and problem statements, have direct access to C-level leaders and their priorities, and have a measurable impact on revenue at the same time. Over the past few years, they have continued to focus on growing their analytics footprint with existing and prospective clients. They are excited to bring new team members at this leadership level to scale and catalyze that growth.
Their Analytics Pre-Sales Solutions Strategy team plays a crucial role in communicating the value of the solutions and services they can offer in solving the business problems that they uncover within existing and prospective clients. In this role, you will collaborate with members of their sales and account management teams to discover how their clients can derive value from their data, and work to make data more useful across organizations. The ideal candidate is self-motivated and will have previous work experience in the analytics, big data, and/or consulting services industry. He or she will be able to lead by example in taking a consultative approach to discovering the unarticulated analytical needs of their customers, as well as connecting the dots between customer requirements to our solution, service, and consulting offerings.
Responsibilities:
Collaborate with clients to understand their business objectives and provide analytic solutions that positively address their needs
Conduct discovery sessions, workshops, and whiteboard sessions to identify, understand and define customer needs, objectives, roadmaps, and/or business requirements to design solutions that can best address existing or prospective clients
Contribute to pipeline and revenue generation through participating in, and, at times, managing demand-gen activities like webinars, seminars, workshops, conferences, and other company events
Create best-in-class presentations and present them to senior executives (C-level, VP, and directors) to effectively articulate the company’s value proposition. Lead the development and delivery of these technical presentations, demonstrations, proposals, and reviews
Spearhead RFP responses. Drive all aspects of successful pilot projects and proofs of concept, from requirements to solution design to delivery and implementation.
Keep oneself up-to-date with the latest trends and tech and contribute strategically to pursue market expansion, and industry outreach, drive sales and help build a strong practice
Partner with client engagement managers, sales teams, analytics centers of excellence, and other solutions consultants to move deals to close
Communicate business requirements and context to the offshore delivery team after closing a deal to ensure a smooth transition from presales to implementation
Maintain a deep understanding of industry trends and how those trends are reflected in our solution approach
Mentor and groom a team of hands-on consultants for senior or strategic roles and assignments
Qualifications:
Experience with business-focused analytics covering customer/sales/marketing/pricing/supply chain analytics, digital media analysis, paid media analytics, multi-touch attribution analysis, or other related ML modeling experience.
Experience at a management/analytics consulting or services company, a technology company, or in-house in either a product development or pre-sales role in Sales and/or Marketing analytics is a plus. At least 3 years of experience in a pre-sales role for analytics is a must.
Industry experience in the Hi-Tech industries [HW / SW] is a must.
Passionate about working with complex datasets and developing solution frameworks for ambiguous business questions and problems.
Excellent communication skills with the ability to instill confidence in potential and existing customers. Strong presentation skills with the ability to connect seamlessly with both business and technical audiences.
Expertise in data analysis and visualization tools such as R, Python, PowerBI, Tableau (or any similar visualization tool), SQL, etc is preferred.
Exposure to data architecture, cloud platforms, and data engineering is a plus.
Project and people management experience is preferred.
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