Analytics - Analytics Consultant 5 - Contingent

In this contingent resource assignment, you may:

• Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Analytics.
• Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking.
• Provide expertise to client senior leadership on innovative Analytics business solutions.
• Strategically engage with client personnel.

• Applicants must be able to work directly on W2.
• Skill 1 - 100% or Must needed with X years of minimum experience.
• Skill 2 - 100% or Must needed with X years of minimum experience.
• Skill 3 - 100% or Must needed with X years of minimum experience.
• Prior experience with the client's industry is a must for this position.
• Education Level - Bachelor's Degree is mandatory in the field of Computer Science.

• Experience with operational, digital, AI-driven, or automation-focused transformation initiatives.
• Familiarity with enterprise governance structures, PMO methodologies, and portfolio management frameworks.
• Background in analytics, process engineering, or data-driven continuous improvement.
• Ability to collaborate effectively with senior leaders and support prioritization and strategic decision-making.
• Experience building scalable reporting frameworks that enhance transparency and inform enterprise decision processes.

• Develop and maintain comprehensive reporting frameworks that track milestones, progress, financials, risks, and dependencies across complex portfolios.
• Design dashboards and analytical summaries integrating delivery metrics, operational KPIs, and value-realization indicators.
• Translate large volumes of program data into clear, executive-ready insights such as status summaries, health assessments, and scenario-based forecasts.
• Support the setup and execution of governance routines, including steering committees, operational reviews, dependency discussions, and risk escalation forums.
• Partner with business sponsors, product owners, engineering leaders, process teams, and analytics partners to gather inputs and validate portfolio data.

• Inclusive and diverse work environment.
• Opportunities for professional growth and development.
• Collaborative and supportive team culture.