Customer Segmentation Manager

Posted 4 Days Ago
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Maia, Porto
Mid level
Industrial • Manufacturing
The Role
The Customer Segmentation Manager identifies target customer segments, analyzes data, and collaborates with marketing to improve customer retention strategies. Responsibilities include developing segmentation frameworks, profiling customers, and optimizing campaigns through data analysis and integration. The role focuses on enhancing customer loyalty and ensuring effective communication strategies are in place.
Summary Generated by Built In

This job will provide you with an opportunity to further your career alongside some of the best and most passionate technology experts from around the world in a leading company within the test, measurement and data analytics industry. You will be a strong contributor collaborating closely with colleagues from various business functions.

At HBK, we live up to our three values: Be True, Own It and Aim High. We believe in absolute integrity – it’s how we win for stakeholders, the environment and each other. We believe in teamwork and keeping our promises – to ourselves and others. Finally, we believe in being bold and positive. This is how we perform at our best and achieve greater success.

Purpose of Role

Customer Segment Manager is responsible for identifying target customer segments based on shared characteristics and needs. They are responsible for understanding, sharing and communicating with other marketing colleagues. The main goal is to influence global content design, customer targeting and customer experience. The customer segment manager will work with Zoom Info, Linkedin, Salesforce CRM and other tools.

The role will play a crucial role in customer retention by identifying at-risk segments and developing strategies to address their needs. By analysing customer behaviour and feedback, they can identify patterns that indicate potential churn or dissatisfaction. With this information, the segment manager can devise targeted retention initiatives, such as loyalty programmes or and work with our Demand Generation team on personalised communications, to retain customers and enhance their loyalty.

Your responsibilities will include:

  • Segmentation Strategy Development: Design and implement customer segmentation frameworks based on behavioural, demographic, firmographic, and psychographic data.

  • Data Analysis & Insights: Analyse customer data to identify trends, customer preferences, and opportunities for more precise targeting and engagement.

  • Customer Profiling: Develop and refine customer personas that help align marketing and sales strategies with audience needs.

  • Campaign Optimisation: Work with the marketing automation and paid media teams to improve targeting, ensuring the right message reaches the right audience.

  • Personalisation & Dynamic Content: Collaborate with the marketing team to enable personalized experiences across email, website, and advertising channels.

  • Data Integration & Management: Ensure customer data is accurately structured and maintained across CRM, marketing automation, and analytics platforms.

  • Performance Measurement: Track and measure the effectiveness of segmentation strategies, reporting on key metrics like conversion rates, engagement, and customer lifetime value.

This is a mid-level, non-managerial role. Full-time candidates only. This role is fully remote except for a few team get-togethers throughout the year.

Expectations for all employees

  • Always adhere to company policies and procedures

  • Comply with any reasonable requests within level of capability, including any training that the company may request you to attend or perform

  • Proactively support a safety-first culture. Constantly striving to improve the health, safety, and environment of your work area and colleagues with issues escalated immediately

  • Strive to achieve the philosophy of “Right First Time” for each decision and process you’re engaged in with issues escalated immediately

  • Ensure a lean approach to all business processes, with the ethos of making tomorrow better than today at the heart of everything we do

  • Demonstrate the company values, Be True, Aim High, and Own It and foster the development of the One HBK company culture, encouraging values-based behaviors and promoting best practices

Professional Qualifications / Experience

  • Bachelor's degree in Marketing, Data Analytics, Business Intelligence, or a related field (or equivalent experience).

  • 4+ years of experience in customer segmentation, data analytics, or marketing strategy.

  • Strong proficiency in data analytics tools such as SQL, Power BI, Tableau, or Google Analytics, Adobe Analytics 

  • Experience working with CRM and marketing automation platforms such as Salesforce, HubSpot, or Marketo.

  • Deep understanding of data modelling, customer behaviour analysis, and audience targeting techniques.

  • Strong knowledge of A/B testing, campaign performance analysis, and conversion rate optimization.

  • Familiarity with predictive modelling, AI-driven segmentation, and machine learning applications in marketing

  • Proactive, self-starter with drive to build first class operations and infrastructure

  • Excellent verbal and written communication skills.

Top Skills

A/B Testing
Adobe Analytics
Campaign Performance Analysis
Conversion Rate Optimization
Google Analytics
Hubspot
LinkedIn
Marketo
Power BI
Salesforce CRM
SQL
Tableau
Zoom Info
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The Company
HQ: London
1,244 Employees
On-site Workplace
Year Founded: 1942

What We Do

Hottinger Brüel & Kjær was founded in 2019, when HBM and Brüel & Kjær merged their activities into a new company.

Both companies are market leaders in their respective disciplines – Brüel & Kjær in sound and vibration and HBM in reliability, durability, propulsion efficiency and weighing. Together, they cover the complete product physics domain. In technical terms, Brüel & Kjær is the frequency domain expert and HBM the time domain expert.

HBK helps its customers reduce time-to-market by simultaneously performing tests, retrieving and analyzing data, aiding decision-making

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