Senior Data Analyst

hackajob is collaborating with Kainos to connect them with exceptional tech professionals for this role.

As a Senior Data Analyst at Kainos, you’ll be responsible for matching the needs of data insight with an 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 Analytics teams means that customers are bringing us an increasing number of exciting AI and data projects using cutting-edge technology to solve real-world problems. We are seeking more high calibre people to join our AI and Data practice where you will grow and contribute to industry‑leading technical expertise.

It is a fast‑paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development.

You will also provide direction and leadership for your team as you solve challenging problems together.

• 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 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

• Experienced with structured and unstructured data
• Experience of Power
  
  BI on Fabric, Tableau and Google Analytics
• Experience in combining qualitative and quantitative datasets
• Experience of system performance analysis
• Demonstrable thought leadership - e.g. personal blogs.