Address
Form of workThere are few things that change everything, the world moving to hybrid working will be one of them. Kadence exists to make flexibility an advantage for organisations all over the world - powering a more positive, productive and personalised way of working so individuals, ideas and teams can thrive.
9/10 of companies, $25tn of employee salaries and $22tn of office real estate is moving to hybrid and Kadence is building the operating system to power the hybrid age.
Kadence coordinates people, projects, and workplaces empowering employees to become masters of hybrid. Over 250 companies around the world use Kadence to make hybrid work, from desk and room booking, to coordinating who should be onsite with who.
Don’t just take our word for it, Kadence is backed by investors including Kickstart, firstminute.capital, Manta Ray, Hambro Perks and Techstars.
In this role, you will report directly to the Chief Operating Officer and play a key role in a high growth startup. Your insights and analysis will directly influence strategic decisions at the highest levels, aligning closely with our growth objectives and operational efficiency.
YOUR RESPONSIBILITIES
- Analyze and interpret complex datasets to uncover trends and patterns that provide actionable insights for optimizing business operations and enhancing product usage.
- Develop and implement analytical tools and models to monitor key performance indicators and understand the impact of changes in business strategies.
- Collaborate with cross-functional teams, including business operations, marketing, and customer success, to ensure a data-driven approach is integrated across the organization.
- Communicate data findings and insights effectively to both technical and non-technical stakeholders to support strategic decision-making.
- Maintain and enhance the performance of existing analytics tools and models to continuously improve business and product understanding.
- Contribute to the development and refinement of data infrastructure, including data pipelines and ETL processes, to support advanced data analysis and reporting needs.
YOUR SKILLS AND EXPERIENCE
- Proven track record of delivering in a Data Scientist role or similar capacity.
- Strong knowledge of Python or R for data manipulation and analysis.
- Experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
- Proficient in SQL and working with relational databases.
- Familiarity with big data technologies, such as Hadoop or Spark, is a plus.
- Excellent problem-solving skills and ability to communicate complex concepts to non-technical audiences.
- Degree in a relevant field, such as Computer Science, Data Science, or Mathematics.
WHAT WE OFFER YOU
- The opportunity to contribute to an early-stage startup as it scales.
- Pioneering work in a new technology field.
- A passionate and fun team that is quickly expanding.
- Remote-first work environment with the option to work from our modern Belfast office.
- Regular company social events and annual offsite gatherings.
- 5 weeks of vacation per annum, plus public holidays and flexible work/life balance.
- Competitive salary, stock options, and company pension.
- Cycle2work Scheme and Perks at Work discounts.
