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Analytics Consultant

Job in Charlotte, Mecklenburg County, North Carolina, 28202, USA
Listing for: Motion Recruitment
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst
  • Business
    Business Systems/ Tech Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 55 - 61.97 USD Hourly USD 55.00 61.97 HOUR
Job Description & How to Apply Below

Analytics Consultant

CHARLOTTE, North Carolina

Hybrid

Contract

$55/hr - $61.97/hr

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for an Analytics Consultant in Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age.

If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today. Contract Duration: 6 Months

Required Skills & Experience
  • 7+ years of analytics experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • 5+ years of experience in program reporting, portfolio analytics, PMO reporting, business analysis, or a related field.
  • Proven ability to analyze complex datasets and synthesize insights for operational and executive audiences.
  • Strong proficiency with reporting and visualization tools.
  • Experience supporting large-scale, multi-team initiatives or transformation programs.
  • Excellent communication skills with the ability to distill complex information into clear and actionable insights.
Desired Skills & Experience
  • 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.
What You Will Be Doing
  • 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.
  • 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.
  • Ensure reporting accuracy, data integrity, and alignment with established governance standards.
  • Program Governance & Operating Model Support
  • Support the setup and execution of governance routines, including steering committees, operational reviews, dependency discussions, and risk escalation forums.
  • Maintain standardized templates, portfolio taxonomies, intake artifacts, and prioritization tools.
  • Promote consistent adoption of lifecycle standards, change?management expectations, and enterprise delivery frameworks.
  • Cross?

    Functional Collaboration & Stakeholder Management
  • Partner with business sponsors, product owners, engineering leaders, process teams, and analytics partners to gather inputs and validate portfolio data.
  • Facilitate alignment between work streams, ensuring risks, blockers, and interdependencies are captured, communicated, and addressed.
  • Provide clear, concise communication to support effective decision?making by senior leaders and program executives.
  • Risk, Issue, and Dependency Management
  • Track and manage portfolio-level risks and issues, ensuring appropriate categorization, mitigation planning, and remediation timelines.
  • Identify cross?initiative dependencies and proactively raise items requiring…
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