Applications Support Analyst / Data Operations Analyst

Applications Support Analyst / Data Operations Analyst Are you looking for a new role where you can grow and develop your data and applications skills whilst working in growing world class product and client support team? You will be joining a fantastic team that is full of ambitious, talented, and creative people who are passionate about applying technology to create great digital solutions and services. We are looking for people who want to make a difference and work in a positive, open environment that strongly encourages fresh ideas, challenge, experimentation, and learning. Our client also provide flexible working that focusses on delivery rather than just focusing on hours worked. This is an exciting role with an innovative and high growth SaaS technology company who provide a modern API driven digital platform and would suit candidates with a passion in data, analytics and automation. The Role We are looking for an analytical problem solver and a solid team player who is customer and delivery focused. You will work in the engine room of the business and be passionate about using technology to automate processes, using data at every step to inform and enhance all decisions we make. There will be manual work, requiring you to roll up sleeves and get stuck into the 'day-to-day,' but, ultimately, your role will be to work out how to automate everything. To set you up for success, with the tools and skills you need to deliver in the role, you will be supported and encouraged to get stuck into developing your JavaScript and MongoDB general data & analytics skills. You will be responsible for Owning key operational tasks - things like cash recs, money movements, client onboarding tasks etc. All of this is important and needs careful attention to detail, but ultimately (and more importantly) we want to be automating every possible process and task as soon as we can Identifying and resolving technical issues, including bug fixing and data correction Maintaining ownership of any request until the resolution and meeting agreed SLA's Reviewing and recommending any changes to systems needed to reduce the reliance on the development team, products or services Assisting with process mapping, documentation and visualisations - we need to have a solid and dynamic understanding of today's engine in order to build scalably for the engine of tomorrow Assisting with regular business reporting, using a variety of data sources and analytical techniques Identifying, implementing and monitoring of productions systems Supporting with ad-hoc BizOps projects across the business - always with an eye on process automation Requirements The most important skill is determination and a desire to solve problems with some exposure to applications support Basic data and SQL skills Ability to understand business requirements and turn this into efficient, scalable solutions. You will need to learn the business domain so previous experience of financial services or a fintech is desirable but is not essential You will be interested in modern data technology and would have either some experience or an interest in developing JavaScript and MongoDB skills - perhaps you've already trained yourself up on the basics. In time you'll have chance to learn and use Python You will have a basic understanding of JSON and REST APIs, and you'll be excited to learn more and to begin to play around with the tech we are building Strong communication and organisation skills and is able to describe to both technical and non-technical audiences A team player who is customer and delivery focussed Key Rewards Include: Competitive salary Flexible working arrangements (hours and remote / homeworking options) Exposure to the latest technology and an opportunity to help shape the future direction Pension & Life Assurance Ignite Digital Talent are committed to creating equal opportunities, and welcome job applications from all who are qualified and eligible to working in the UK, regardless of colour, ethnic or national origin, race, gender, sex, disability, age, sexual orientation, religious or political beliefs, marital status or family circumstances.