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Marketing Operations Work Placement

Ancestry
Full-time
On-site
London, City of, United Kingdom
βš™οΈ Marketing Operations

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Operations Work Placement

πŸ”Ή Company: Ancestry

πŸ”Ή Location: London, United Kingdom

πŸ”Ή Job Type: Full-Time, Intern

πŸ”Ή Category: Marketing

πŸ”Ή Date Posted: 2025-05-20

πŸ”Ή Experience Level: Entry Level (0-2 years)

πŸ”Ή Remote Status: Hybrid (London-based with flexible work options)

πŸš€ Job Overview

Key aspects of this role include:

  • Optimizing marketing workflows using automation tools and AI-driven solutions
  • Supporting cross-functional teams to improve efficiency and performance
  • Analyzing marketing campaign performance and providing data-driven insights
  • Troubleshooting and issue management using AI-powered tools
  • Collaborating with industry-leading professionals and expanding your network

ASSUMPTION: This role is ideal for recent graduates or students interested in marketing, data science, or AI, seeking practical experience in a dynamic and innovative environment.

πŸ“‹ Key Responsibilities

βœ… Support the tracking of marketing campaign performance using AI-powered technologies

βœ… Assist with creating reports and data visualizations to measure marketing strategy effectiveness

βœ… Help maintain and ensure the accuracy of marketing databases

βœ… Automate repetitive marketing tasks to help teams become more efficient

βœ… Work with cross-functional teams to identify areas where AI can streamline workflows

βœ… Monitor and analyze marketing campaigns and trends, providing suggestions for improvements based on AI-driven insights

βœ… Aggregate and analyze error logs, identifying recurring problems and providing reports on impact and solutions

βœ… Use AI-powered tools to troubleshoot and solve issues across multiple marketing teams

βœ… Support the transition to a new Digital Asset Management (DAM) system, ensuring the proper organization and accessibility of marketing assets

βœ… Assist with the organization and cleanup of internal storage systems (e.g., Google Drive)

ASSUMPTION: The role requires strong problem-solving skills, attention to detail, and a data-driven mindset to excel in marketing effectiveness and performance tracking.

🎯 Required Qualifications

Education: Pursuing or recently completed a degree in Marketing, Data Science, Business, or a related field

Experience: Entry-level or no professional experience required

Required Skills:

  • Curiosity and adaptability with a desire to learn new tools, including AI-based solutions
  • Strong problem-solving skills, especially with technology solutions
  • Data-driven interest in marketing effectiveness and performance tracking
  • Attention to detail and quality control focus
  • Clear and effective communication skills

Preferred Skills:

  • Experience with marketing analytics and data science tools
  • Familiarity with digital marketing, data management, or business intelligence
  • Knowledge of AI applications and workflow optimization

ASSUMPTION: While specific coursework or experience is not required, a strong interest in the preferred skill areas will be beneficial for success in this role.

πŸ’° Compensation & Benefits

Salary Range: Β£18,000 - Β£22,000 per annum (pro-rated for the 9-month work placement)

Benefits:

  • Paid work placement
  • Collaboration and networking opportunities with industry professionals
  • Professional development events, including executive speaker sessions, mentorship opportunities, lunch and learns, and workshops
  • Chance to showcase your work and celebrate your growth
  • Supportive environment with challenging projects and personalized mentorship

Working Hours: Full-time, Monday through Friday, with flexible work options

ASSUMPTION: The salary range is estimated based on industry standards for entry-level marketing roles in the United Kingdom and the duration of the work placement.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Ancestry operates in the software development industry, focusing on consumer genomics, family history, artificial intelligence, machine learning, data science, and DNA.

Company Size: Ancestry has 1,001-5,000 employees, providing a large and diverse work environment with ample opportunities for growth and collaboration.

Founded: 1983, with over 40 years of experience in connecting people with their past and helping them discover, preserve, and share their unique family stories.

Company Description:

  • Ancestry is the global leader in family history and consumer genomics, connecting everyone with their past
  • With over 65 billion records from 88 countries, 3 million subscribers, and 27 million people in their growing DNA network, Ancestry helps customers discover their family story and gain a new level of understanding about their lives
  • Ancestry is committed to a location-flexible work approach, allowing employees to work from where they want, including offices in Lehi (Utah), Dublin (Ireland), Paris (France), London (England), Sydney (Australia), and Grafing (Germany)

Company Specialties:

  • Consumer genomics
  • Family history
  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • and DNA

Company Website: careers.ancestry.com

ASSUMPTION: Ancestry's large employee base and global presence provide ample opportunities for collaboration, networking, and professional growth.

πŸ“Š Role Analysis

Career Level: Entry-level, with opportunities for growth and development within the marketing operations field

Reporting Structure: This role will report directly to the Marketing Operations Manager and work closely with cross-functional teams

Work Arrangement: Hybrid, with a combination of on-site work in London and remote work options

Growth Opportunities:

  • Expanding your professional network and gaining valuable industry experience
  • Developing your skills in marketing operations, automation, and AI
  • Potential full-time employment opportunities upon completion of the work placement

ASSUMPTION: This work placement offers a unique opportunity to gain practical experience in marketing operations and develop essential skills for a successful career in the field.

🌍 Location & Work Environment

Office Type: Ancestry's London office is located in the heart of the city, providing a vibrant and dynamic work environment

Office Location(s): Strand Bridge House, 138-142 Strand, 4th Floor, London, WC2R 1HH, GB

Geographic Context:

  • London is a major global city with a rich history and diverse culture
  • The office is situated near the Thames River, offering easy access to public transportation and various amenities
  • London provides numerous opportunities for personal and professional growth

Work Schedule: Full-time, Monday through Friday, with flexible work options

ASSUMPTION: Ancestry's London office provides a modern and collaborative work environment, with easy access to various amenities and transportation options.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission through the Ancestry careers website
  • Phone or video screening to assess communication skills and cultural fit
  • In-person or virtual interview with the hiring manager and/or team members to discuss the role and answer any questions

Key Assessment Areas:

  • Problem-solving skills and approach to workflow optimization
  • Data-driven mindset and ability to analyze marketing campaign performance
  • Communication skills and ability to work effectively with cross-functional teams
  • Adaptability and curiosity to learn new tools and technologies

Application Tips:

  • Tailor your resume and cover letter to highlight relevant skills and experiences for this role
  • Demonstrate your curiosity and adaptability by providing examples of how you've learned new tools or technologies in the past
  • Showcase your problem-solving skills by describing a challenging situation you've faced and how you overcame it

ATS Keywords: Marketing operations, automation, AI, workflow optimization, marketing analytics, data science, problem-solving, collaboration, networking

ASSUMPTION: Ancestry's application process is designed to assess your skills and cultural fit for the role, with a focus on problem-solving, data-driven mindset, and communication skills.

πŸ› οΈ Tools & Technologies

  • Monday.com (workflow management and collaboration)
  • AI-driven solutions (e.g., machine learning, natural language processing)
  • Marketing analytics and data science tools (e.g., Google Analytics, Tableau)
  • Digital asset management systems (e.g., Adobe Experience Manager, Brandfolder)

ASSUMPTION: Familiarity with these tools and technologies is not required, as the role offers an opportunity to learn and develop new skills.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Curiosity: We are driven by a desire to understand and explore
  • Connection: We believe in the power of human connection to enrich lives
  • Quality: We strive for excellence in everything we do

Work Style:

  • Collaborative: We work together to achieve our goals
  • Innovative: We embrace change and continuously improve
  • Data-driven: We make decisions based on evidence and insights

Self-Assessment Questions:

  • How have you demonstrated curiosity in learning new tools or technologies in the past?
  • Can you provide an example of how you've used data to drive marketing strategy or improve performance?
  • How do you approach working with cross-functional teams to identify areas for improvement and streamline workflows?

ASSUMPTION: Ancestry values curiosity, connection, and quality, with a collaborative, innovative, and data-driven work style. Applicants should assess their fit with these values and work style preferences.

⚠️ Potential Challenges

  • Balancing multiple responsibilities and priorities in a fast-paced environment
  • Adapting to new tools and technologies quickly and efficiently
  • Managing expectations and communicating effectively with cross-functional teams
  • Navigating a large and diverse organization with numerous opportunities and potential distractions

ASSUMPTION: These challenges can be overcome with strong problem-solving skills, effective communication, and a proactive approach to learning and adaptation.

πŸ“ˆ Similar Roles Comparison

  • Marketing Operations Specialist: This role focuses more on day-to-day operations and may have less exposure to AI-driven solutions and strategic decision-making
  • Data Analyst: This role is more focused on data analysis and may have less involvement in workflow optimization and marketing campaign tracking
  • Marketing Coordinator: This role may have more responsibility for day-to-day marketing tasks and less focus on data-driven insights and AI-driven solutions

ASSUMPTION: Each role within the marketing field offers unique opportunities and challenges, and applicants should consider their career goals and interests when comparing roles.

πŸ“ Sample Projects

  • Optimizing a marketing campaign's performance using AI-driven insights and automation tools
  • Streamlining workflows for a cross-functional team using Monday.com and other collaboration tools
  • Analyzing marketing campaign data to identify trends and make data-driven recommendations for improvement

ASSUMPTION: These sample projects demonstrate the practical application of skills and knowledge required for success in this role.

❓ Key Questions to Ask During Interview

  • How does this role support the broader marketing operations strategy, and how can I contribute to its success?
  • What are the most pressing challenges facing the marketing operations team, and how can I help address them?
  • How does Ancestry support the professional development and growth of its interns and entry-level employees?
  • What opportunities are there for collaboration and networking with other teams and departments within Ancestry?
  • How does Ancestry foster a culture of innovation and continuous improvement, and how can I contribute to this culture?

ASSUMPTION: These questions demonstrate your curiosity, initiative, and commitment to making a meaningful impact in the role.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through Ancestry's careers website
  • Tailor your resume and cover letter to highlight relevant skills and experiences for this role
  • Prepare examples of how you've demonstrated curiosity, problem-solving, and data-driven decision-making in previous projects or experiences
  • Research Ancestry's company culture and values to ensure a strong fit with your personal preferences and work style
  • Follow up with Ancestry one week after submitting your application to inquire about the status of your application

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