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Marketing Data Architect

Axis Communications
Full-time
On-site
Sweden
πŸ“ˆ Marketing Analytics

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Data Architect

πŸ”Ή Company: Axis Communications

πŸ”Ή Location: Lund, Sweden (Telecommuting)

πŸ”Ή Job Type: Full-Time

πŸ”Ή Category: Marketing & Sales

πŸ”Ή Date Posted: April 14, 2025

πŸ”Ή Experience Level: Mid-Senior Level (5+ years)

πŸ”Ή Remote Status: On-site (with remote flexibility)

πŸš€ Job Overview

Key aspects of this role include:

  • Driving first-party data strategy and fueling data-driven marketing initiatives in a privacy-centric world.
  • Bridging marketing and technology to unlock data's potential for enhancing customer engagement and optimizing indirect sales model.
  • Collaborating with cross-functional teams, including BI, Marketing, Sales, IT, Engineering, and Analytics leaders.
  • Working closely with marketing managers, sales operations, and analysts to understand data needs and drive impactful results.
  • Joining a team passionate about leveraging data to drive innovation and achieve business goals.

ASSUMPTION: This role requires a strong background in data analytics, marketing, and technology, with a focus on driving data-driven decisions and collaborating with various teams.

πŸ“‹ Key Responsibilities

βœ… Lead data integration efforts, ensuring data accuracy, consistency, and readiness for analysis.

βœ… Design data models and pipelines for a single source of truth.

βœ… Enable advanced analytics on marketing and sales performance, providing actionable insights to optimize campaigns and strategies.

βœ… Establish and enforce robust data governance policies, ensuring compliance with privacy regulations and ethical data use.

ASSUMPTION: The role involves a mix of technical tasks, strategic planning, and stakeholder management, requiring strong analytical, communication, and collaboration skills.

🎯 Required Qualifications

Education: Bachelor's degree in Data Science, Marketing, or a related field.

Experience: 5+ years in data analytics, marketing analytics, or related roles.

Required Skills:

  • Proficient in SQL and at least one BI tool (e.g., Looker, Tableau, Power BI).
  • Solid understanding of digital marketing channels, sales processes, and associated data.
  • Demonstrated ability to develop data strategies and policies.
  • Analytical mindset with strong business acumen.
  • Excellent communication and collaboration skills.
  • Project leadership experience.

Preferred Skills:

  • Advanced degree or certifications in data/analytics.
  • Prior experience in digital marketing or sales analytics, preferably with large-scale first-party data.
  • Hands-on experience with modern marketing and data stack tools (e.g., CDPs).
  • Experience with predictive analytics or machine learning in marketing/sales.
  • Knowledge of indirect sales models and channel partner data.

ASSUMPTION: The required qualifications indicate that the ideal candidate has a strong foundation in data analytics, marketing, and business acumen, with a preference for additional expertise in modern marketing tools and advanced analytics.

πŸ’° Compensation & Benefits

Salary Range: Based on industry standards for a mid-senior level marketing data role in Sweden, the estimated salary range is SEK 600,000 - 800,000 per year.

Benefits:

  • Flexible working hours
  • Wellness allowance
  • Health insurance
  • Company bonus
  • Training facility
  • Axis bicycle

Working Hours: Full-time (40 hours/week) with flexible working hours and remote work options.

ASSUMPTION: The salary range is estimated based on market research and may vary depending on the candidate's experience and skills. The benefits package is comprehensive and tailored to support employee well-being and work-life balance.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Axis Communications operates in the computer networking products industry, focusing on network video, IP surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.

Company Size: Axis is a mid-sized company with around 5,000 employees globally, providing a collaborative and innovative work environment.

Founded: Axis was founded in 1984 and is headquartered in Lund, Sweden.

Company Description:

  • Axis enables a smarter and safer world by creating solutions for improving security and business performance.
  • The company offers a wide range of products and services, including video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.
  • Axis has a strong focus on innovation, sustainability, and customer satisfaction.

Company Specialties:

  • Network video
  • IP Video surveillance
  • Security camera
  • CCTV
  • IP camera
  • Network audio
  • Access control
  • Network video analytics

Company Website: www.axis.com

ASSUMPTION: Axis Communications is a well-established company with a strong focus on innovation and customer satisfaction, operating in the computer networking products industry.

πŸ“Š Role Analysis

Career Level: The Marketing Data Architect role is a mid-senior level position, requiring a strong background in data analytics, marketing, and technology.

Reporting Structure: This role reports directly to the Digital Marketing & Performance team and collaborates with various cross-functional teams, including BI, Marketing, Sales, IT, Engineering, and Analytics leaders.

Work Arrangement: The role is based on-site in Lund, Sweden, with remote work flexibility.

Growth Opportunities:

  • Potential career progression into senior roles within the data and analytics teams or management positions.
  • Opportunities to work on diverse projects and gain exposure to various aspects of the business.
  • Access to training and development resources to enhance skills and knowledge.

ASSUMPTION: The Marketing Data Architect role offers strong growth opportunities, both in terms of career progression and skill development, within a dynamic and innovative company.

🌍 Location & Work Environment

Office Type: Axis Communications has a modern and collaborative office environment, with a focus on employee well-being and work-life balance.

Office Location(s): Lund, Sweden (with remote work flexibility)

Geographic Context:

  • Lund is a city in southern Sweden, known for its historic city center, beautiful parks, and vibrant cultural scene.
  • The city is home to several international companies and has a strong focus on innovation and technology.
  • Lund offers a high quality of life, with a mix of urban and rural environments, and is well-connected by public transportation.

Work Schedule: Full-time (40 hours/week) with flexible working hours and remote work options.

ASSUMPTION: The office environment at Axis Communications is modern, collaborative, and focused on employee well-being, with a strong emphasis on work-life balance. Lund, Sweden, offers a high quality of life and a vibrant cultural scene, making it an attractive location for professionals.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screening
  • On-site or virtual interviews with hiring managers and team members
  • Background check (if required)
  • Job offer

Key Assessment Areas:

  • Technical skills in data analytics, marketing, and BI tools
  • Problem-solving and analytical thinking
  • Communication and collaboration skills
  • Cultural fit and alignment with Axis' values
  • Understanding of digital marketing channels and sales processes

Application Tips:

  • Highlight relevant experience and skills in data analytics, marketing, and BI tools.
  • Demonstrate strong problem-solving skills and analytical thinking through examples from previous roles.
  • Showcase excellent communication and collaboration skills through clear and concise responses to interview questions.
  • Research Axis Communications and the role of Marketing Data Architect to show enthusiasm and understanding of the company and the position.

ATS Keywords: Data Integration, Data Governance, SQL, BI Tools, Digital Marketing, Sales Analytics, Data Strategy, Analytics, Collaboration, Problem-Solving

ASSUMPTION: The interview and application process for the Marketing Data Architect role at Axis Communications is designed to assess technical skills, problem-solving abilities, communication and collaboration skills, and cultural fit. Applicants should highlight relevant experience and skills and demonstrate a strong understanding of the role and the company.

πŸ› οΈ Tools & Technologies

  • SQL
  • BI Tools (e.g., Looker, Tableau, Power BI)
  • Data integration and ETL tools (e.g., Talend, Pentaho)

  • Data governance tools (e.g., Collibra, Alation)
  • Modern marketing and data stack tools (e.g., CDPs)
  • Predictive analytics and machine learning tools (e.g., Python, R, TensorFlow)

ASSUMPTION: The Marketing Data Architect role requires proficiency in SQL and BI tools, with additional expertise in data integration, data governance, modern marketing tools, and predictive analytics tools being beneficial.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Innovation
  • Customer-centricity
  • Collaboration
  • Integrity
  • Sustainability

Work Style:

  • Dynamic and fast-paced
  • Collaborative and team-oriented
  • Focused on continuous learning and improvement
  • Results-driven and data-informed
  • Committed to work-life balance and employee well-being

Self-Assessment Questions:

  • How do you align with Axis' value of innovation, and how have you driven data-driven innovation in previous roles?
  • How comfortable are you working in a dynamic and collaborative environment, and how have you contributed to team success in previous roles?
  • How do you balance work and personal life, and how do you ensure your well-being in a fast-paced work environment?

ASSUMPTION: Axis Communications values innovation, customer-centricity, collaboration, integrity, and sustainability. The ideal candidate for the Marketing Data Architect role will demonstrate strong alignment with these values and thrive in a dynamic, collaborative, and data-driven work environment.

⚠️ Potential Challenges

  • Managing data integration and governance in a large, complex organization.
  • Balancing the need for data accuracy and timeliness with the demands of various stakeholders.
  • Keeping up with the latest tools and technologies in data analytics and marketing.
  • Navigating a fast-paced and dynamic work environment, with changing priorities and tight deadlines.
  • Adapting to a hybrid or fully remote work arrangement, with potential challenges in communication and collaboration.

ASSUMPTION: The Marketing Data Architect role presents several challenges, including managing data integration and governance in a large organization, balancing stakeholder demands, keeping up with the latest tools and technologies, and adapting to a dynamic work environment and remote work arrangements.

πŸ“ˆ Similar Roles Comparison

  • The Marketing Data Architect role is similar to other data architect or data analytics manager roles in marketing or sales, with a focus on driving data-driven decision-making and optimizing customer engagement.
  • However, this role is unique in its focus on first-party data strategy and indirect sales model optimization, requiring specific expertise in these areas.
  • Career progression in this role may lead to senior roles within data and analytics teams or management positions, with opportunities to specialize in marketing or sales data analytics.

ASSUMPTION: While the Marketing Data Architect role shares similarities with other data architect or data analytics manager roles, it is unique in its focus on first-party data strategy and indirect sales model optimization, offering specialized career growth opportunities within marketing or sales data analytics.

πŸ“ Sample Projects

  • Developing a data strategy for a new marketing campaign, including data integration, modeling, and analysis to optimize customer engagement.
  • Implementing a data governance framework to ensure data accuracy, consistency, and compliance with privacy regulations and ethical data use.
  • Analyzing sales performance data to identify trends, optimize channel partner performance, and enhance marketing ROI.

ASSUMPTION: The Marketing Data Architect role involves a wide range of projects, from developing data strategies and implementing data governance frameworks to analyzing sales performance data and optimizing marketing campaigns, requiring strong analytical, technical, and communication skills.

❓ Key Questions to Ask During Interview

  • Can you describe the current data landscape and how my role would contribute to its evolution?
  • How does the team collaborate with other departments, such as marketing, sales, and IT, to drive data-driven decision-making?
  • What are the most significant challenges facing the marketing and sales data teams, and how can this role help address them?
  • How does Axis support the professional development and growth of its employees, particularly in data and analytics roles?
  • What are the key priorities for the first 90 days in this role, and how can I contribute to their successful execution?

ASSUMPTION: Asking insightful questions during the interview demonstrates a strong interest in the role and the company, showcasing your understanding of the position and your commitment to driving data-driven decision-making and optimizing customer engagement.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume to highlight relevant experience and skills in data analytics, marketing, and BI tools.
  • Write a cover letter explaining your interest in the role and how your skills and experience make you a strong fit for the position.
  • Prepare examples of your work, such as data analysis reports or marketing campaign results, to showcase your abilities.
  • Follow up with the hiring manager, Tobias Engstrand, after one week if you haven't heard back.

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.