Sales Insight Specialist

Faerch Group

Holstebro Kommune

On-site

DKK 600,000 - 900,000

Full time

14 days+
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Job summary

Faerch Group in Denmark is seeking a Sales Analytics professional to design and maintain customer segmentation models, translating outputs into clear service and go-to-market strategies. You will analyze sales performance across regions and channels, build dashboards with KPI visibility (pipeline health, revenue attainment, win/loss, cost to serve), and run ad hoc analyses to support commercial decisions.

This on-site role requires close collaboration with Sales, Marketing, Finance and

Qualifications

  • Bachelor's degree in Business, Economics, Data Science or related field.
  • 3–5 years of experience in sales analytics, commercial analytics, or business intelligence in a B2B manufacturing or packaging environment.
  • Proven experience in customer segmentation and translating analytical outputs into commercial recommendations.
  • Strong commercial mindset with understanding of revenue, margin, volume, pricing and growth opportunities.
  • Strong proficiency in Excel, SQL, and at least one BI platform (Power BI).
  • Ability to communicate complex data clearly to non-technical, senior audiences.
  • Fluency in English.

Responsibilities

  • Design and maintain customer segmentation models and sales reporting frameworks.
  • Translate segmentation outputs into clear service and go-to-market strategies for the sales team.
  • Analyze sales performance across regions, channels, customer segments, and product lines to identify trends, risks, and opportunities.
  • Define and develop dashboards with real-time visibility into KPIs (pipeline health, revenue attainment, win/loss, cost to serve).
  • Conduct ad hoc deep-dive analyses to support commercial decisions such as pricing, territory planning, and go-to-market strategy.
  • Present insights and recommendations to senior stakeholders and collaborate cross-functionally with Sales, Marketing, Finance and Operations.

Skills

Excel
SQL
Power BI
Communication
Stakeholder management
English fluency

Education

Bachelor's degree in Business, Economics, Data Science

Tools

Power BI
Dynamics CRM
Excel

Job description

Faerch Group

Faerch Group is a leading European manufacturer of rigid plastic packaging for the food industry, committed to driving sustainability and innovation across the packaging value chain. The Commercial Excellence team sits at the heart of our commercial strategy, enabling data-driven growth across our markets.

Tasks
Customer Segmentation
  • Design and maintain customer segmentation models to identify high-value accounts and opportunity segments
  • Translate segmentation outputs into clear service and go to market strategies and prioritisation frameworks for the sales team.
  • Continuously refine segmentation approaches in line with customer and market dynamics and strategic priorities.
Sales Insights & Reporting
  • Analyse sales performance across regions, channels, customer segments, and product lines to identify trends, risks, and opportunities.
  • Work with Finance to define and develop dashboards and reporting tools that give real-time visibility into key commercial KPIs — including pipeline health, revenue attainment, win/loss rates, and cost to serve.
  • Conduct ad hoc deep-dive analyses to support commercial decisions such as pricing, territory planning, and go-to-market strategy.
Stakeholder Collaboration
  • Present insights and recommendations to senior stakeholders in a clear, business-relevant manner.
  • Work cross-functionally with Sales, Marketing, Finance, and Operations to align on data definitions, reporting standards, and commercial priorities.
  • Serve as the go-to expert on customer and market data within the Commercial Excellence function.
Data Quality & Governance
  • Ensure the accuracy and consistency of sales and customer data used for analysis and reporting.
  • Collaborate with IT and data teams to improve data infrastructure and analytical capabilities.
  • Document methodologies and maintain a library of reusable models and templates.
Skills Required
  • Bachelor's degree in Business, Economics, Data Science, or a related field.
  • 3–5 years of experience in sales analytics, commercial analytics, or business intelligence — ideally within a B2B manufacturing or packaging environment.
  • Proven experience in customer segmentation and translating analytical outputs into commercial recommendations.
  • Strong commercial mindset with the ability to understand revenue, margin, volume, pipoline, customer value, pricing and growth opportuniteits.
  • Strong proficiency in Excel, SQL, and preferred at least one BI platform (e.g., Power BI).
  • Ability to communicate complex data clearly to non-technical, senior audiences.
  • Fluency in English
Preferred
  • Experience with CRM platforms, particularly Dynamics.
  • Exposure to advanced data analysis (e.g., clustering, regression, propensity scoring).
  • Background in the packaging, food manufacturing, or broader FMCG industry.
Powers Of The Position And Success Criteria
Decision-Making Authority
  • Owns the design and maintenance of customer segmentation models and sales reporting frameworks.
  • Recommends commercial actions based on analytical findings
  • Operates with a high degree of autonomy within the scope of the Commercial Excellence function.
Success Criteria
  • Quality and adoption of segmentation models by the sales organisation.
  • Timeliness, accuracy, and business impact of sales insights and dashboards.
  • Measurable contribution to commercial outcomes — e.g., improved customer targeting, pipeline growth, or sales efficiency.
  • Stakeholder satisfaction with analytical outputs and cross-functional collaboration.
  • Continuous improvement of data quality and reporting capabilities within the team.
Location / On-site expectations:

This role requires regular on-site presence and close collaboration with colleagues and stakeholders.

Therefore, we are prioritising candidates who are based within reasonable commuting distance of a Faerch site location.

Please note that this is not a fully remote role.

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