When you join Kainos, you get to think beyond limitations to make an immediate and positive impact – like transforming digital services for millions of citizens or helping Fortune 500 companies get live and thrive on Workday.

You’ll be part of a people-first culture that is growing around the world. We’re a creative, committed, and diverse group of individuals who succeed as a team.

At Kainos your ideas are heard and valued and you’ll leave a legacy that you can feel proud of.  Join us and discover how our people write our story.

MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:
As a Senior Data Analyst (Senior Associate) at Kainos, you’ll be responsible for matching the needs of data insight with understanding of the available data. Data analysts work closely with customers to produce insight products including reports, dashboards and visualisations but also contribute to project understanding of existing data structures so that inputs and outputs are fully understood. It therefore has a strong consulting element.
Most of our work comes through repeat business and direct referrals, which comes down to the quality of our people. The success of our Data Engineering teams means that customers are bringing us an increasing number of exciting data projects using cutting-edge technology to solve real-world problems. We are seeking more high calibre people to join our Data & Analytics capability where you will grow and contribute to industry-leading technical expertise.
MINIMUM (ESSENTIAL) REQUIREMENTS:
• Experience of facilitating workshops and discussions to effectively gather requirements and achieve a joint understanding of data and insight needs
• Able to understand the client’s business challenges and recommend data visualisation and dashboard approaches to help address customer needs. Able to identify missed opportunities for data insight
• Able to review and comment on data models– for example pointing out why models are defective and suggesting improvements
• Clear written and verbal communications; able to communicate with a wide range of people
• Familiar with the production of data analysis outputs such as profiling reports data quality reports and data visualisations. Confident in summarising and presenting conclusions for senior stakeholders, telling the ‘data story’ without using jargon

• Experience with Informatica & IICS

• Experience in Data Migration of both on premise and cloud data systems
• Experience in manipulating or wrangling data for analysis
• Proficient in more than one reporting or data visualisation platform
• Strong SQL knowledge; able to read and understand XML and JSON
• Able to produce proposed implementation plans for data analysis work, including estimated effort and technical implications of data insight products
• Strong leadership, analytical and communication skills with a passion for data-driven decision making and for establishing best practice
 
DESIRABLE:
• Experienced with structured and unstructured data
• Experience of Tableau and Google Analytics
• Experience in combining qualitative and quantitative datasets
• Experience of system performance analysis
• Demonstrable thought leadership – e.g. personal blogs.