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Data Analyst - CONTRACT

CI&T Software S.A.

London

On-site

GBP 40,000 - 80,000

8 days ago

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Job summary

An established industry player is on the lookout for a skilled Data Analyst to enhance its integrated business planning and analytics initiatives. In this pivotal role, you will collaborate with cross-functional teams to drive strategic recommendations that improve demand forecasting and supply planning. Your expertise in data analysis, along with familiarity with advanced planning tools, will be essential in optimizing processes and guiding stakeholders through transformational changes. This is a fantastic opportunity to contribute to significant business outcomes while working with cutting-edge technology and a talented team.

Qualifications

  • Substantial experience in supply chain planning and demand forecasting.
  • Strong data analysis skills in Excel or SQL; familiarity with Python or R is a plus.

Responsibilities

  • Use data-driven insights to enhance demand forecasting and supply planning.
  • Communicate complex analytics concepts to influence decisions at all levels.

Skills

Data Analysis

Supply Chain Planning

Demand Forecasting

Project Management

Communication Skills

Leadership

Education

Bachelor's Degree in Business, Analytics, or related field

Tools

Excel

SQL

o9

SAP IBP

Kinaxis

Anaplan

Python

R

Job description

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. When applying for one of our positions, you’re agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. For more information, access our opportunities’ page.

We are seeking an experienced Data Analyst to support an organization on optimizing its integrated business planning (IBP) and advanced analytics initiatives. In this role, you will collaborate with cross-functional teams, drive targeted enrichment approaches, and shape strategic recommendations to improve overall demand forecasting, supply planning, and business outcomes. This position involves working with cutting-edge tools and leading stakeholders through transformational change.

Responsibilities
  1. Use data-driven insights to recommend ways to increase “touchless” demand forecast updates where forecast value is minimal or negative.
  2. Identify and report on areas where analytics performance can be improved, proposing enhancements to Data Science teams for bias and accuracy issues.
  3. Implement and document business planning processes at an advanced maturity level, ensuring playbooks remain current with best practices.
  4. Automate analytics and reporting to create clear, periodic recommendations with minimal manual effort.
  5. Provide ongoing training and maintain updated change management documents, guiding Demand Planners, IBP leads, and stakeholders on new processes.
  6. Support strategic objectives related to revenue, profit, and market share, while delivering value for all deployed IBP markets.
  7. Communicate complex analytics and supply chain concepts to a variety of audiences, influencing decisions at both operational and executive levels.
  8. Lead process transformation efforts with Demand and Supply Planning teams, building strong relationships across multiple business units and geographies.
  9. Develop and manage stakeholder relationships, conducting impact assessments and implementing action plans to address change.
  10. Mentor and lead direct reports, fostering professional development and a culture of collaboration.
Qualifications
  1. Substantial experience in supply chain planning, demand forecasting, IBP, or a similar functional consulting role.
  2. Familiarity with advanced planning tools or systems (for example, o9, SAP IBP, Kinaxis, or Anaplan).
  3. Demonstrated success in designing, implementing, and optimizing end-to-end planning processes.
  4. Strong data analysis skills in Excel or SQL; familiarity with Python or R is a plus.
  5. Proven communication, leadership, and project management abilities, with a track record of influencing senior-level stakeholders and driving change.
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