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Space Imagery Analyst

Heospace

Greater London

On-site

GBP 40,000 - GBP 60,000

Full time

Today
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Job summary

A leading space technology company in Greater London is seeking a Space Imagery Analyst to join its growing team. The successful candidate will analyze NEI data to provide actionable insights and work closely with customers to improve their experience. This role requires strong analytical skills, 2+ years of experience, and a collaborative approach in a fast-moving environment. Ideal candidates will also possess programming skills in Python and data visualization expertise.

Benefits

Employee Share Option Plan
Flexible leave options
Modern offices in Bloomsbury
Equal paid parental leave
End of trip facilities

Qualifications

  • 2+ years of industry experience in related field.
  • Understanding of space and satellite subsystems.
  • Strong attention to detail and scientific writing skills.
  • Comfortable with analytical challenges.

Responsibilities

  • Generate insights by processing NEI data.
  • Develop reports on space objects using NEI data.
  • Task space sensors for data collection.
  • Coordinate with global team of analysts.
  • Engage with customers to enhance products.

Skills

Communication skills
Analytical thinking
Collaborative team player
Python programming
Data visualization

Education

Bachelor’s Degree in relevant field
Postgraduate degree in related field

Tools

Grafana
Job description

HEO is the world’s first commercial non-Earth imaging (NEI) and insights services company. NEI involves capturing resolved imagery of space objects using cameras mounted on other satellites, and deriving information and intelligence from the captured imagery. Our technology helps governments and commercial companies to visually monitor their spacecraft and other space objects they care about. Our vision is to image anything in the solar system on-demand. Read more about NEI here .

We are building out a high performing interdisciplinary team capable of pushing the boundaries of space technology. We are growing fast and looking for talented, passionate people that value collaboration, growth and learning to join our team.

HEO is a post Series-A company backed by high profile venture funds including Airtree, Y Combinator and In-Q-Tel. We are headquartered in Sydney, with offices in London, Tokyo, and Washington DC.

About the role:

As a Space Imagery Analyst, you’ll be supporting our team to task in-orbit sensors to capture NEI, analyse the data to uncover unique insights and deliver products to customers so they can take actionable insights based on our imagery and insights. With years of experience in this domain, the HEO team will help you expand your knowledge and skills to flourish in this exciting role.

Your key responsibilities:
  • Work with HEO’s in-house analytics tools to generate consistent, and high quality insights by processing NEI data we collect.
  • Combine insights derived from NEI with publicly available information to develop in-depth characterisation and pattern-of-life reports on space objects.
  • Schedule and support NEI data collection through tasking our space-based sensors to support government and commercial customer needs.
  • Coordinate with HEO’s globally distributed team of analysts to share knowledge and improve customer experience.
  • Work closely with customers to understand their needs and identify how we can improve our products.
We are looking for someone with:
  • 2+ years of industry experience or a postgraduate degree in a related field. Previous work experience in intelligence (GEOINT, MASINT, SIGINT, OSINT) and remote sensing domains is considered a plus.
  • Understanding and keen interest in space, satellite subsystems and structures.
  • Strong written and verbal communication skills (including scientific or intelligence writing) and excellent attention to detail.
  • Strong analytical and critical thinking skills; comfortable with experimenting to solve new challenges.
  • Collaborative team player who thrives in a small, fast-moving startup environment and is willing to pitch in, working closely with others to achieve shared goals.
  • Experience in programming (Python), data visualisation tools (Grafana), space domain awareness and astrodynamics is considered a plus.
  • Desired but not essential: Bachelor’s Degree in Engineering, Computer Science, Information Technology, Physics, Mathematics, Political Science, Business Studies or a similar field.
HEO’s Company Values:

We value good space citizenship. We are passionate about responsible space custodianship, sustainability and trust. We believe that space should be easy and transparent. Our values help us to tackle some of the most complex issues in space for the benefit of all of humanity.

As a team, we are committed to creating a welcoming and supportive environment for employees from all backgrounds.

HEO is one of Australia’s fastest-growing space technology companies. At HEO, we’re committed to creating the best working environment where everyone thrives, values collaboration, encourages innovation and genuinely enjoys working together.

  • Employee Share Option Plan
  • Flexible leave options so you can recharge and relax when best suits you – no forced leave during office shutdowns
  • Modern offices in Bloomsbury, Central London with plenty of collaborative spaces
  • Equal paid parental leave for everyone, regardless of gender
  • End of trip facilities - bicycle parking and showers
Our commitment to Diversity and Inclusion:

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance HEO and our culture. Research shows that women and underrepresented groups are less likely to apply to jobs unless they meet every single competency or experience. If you are excited about this role, but your past experience doesn't align perfectly, we encourage you to apply anyway. You could be just the right person for this role and HEO. If you have any support or access requirements, we encourage you to advise us at time of application and throughout the interview process.

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