At a Glance
- Tasks: Provide top-notch support and resolve customer queries in a dynamic tech environment.
- Company: Join iProov, a leader in biometric verification, committed to safety and inclusion.
- Benefits: Enjoy a competitive salary, performance bonus, equity, and flexible working options.
- Other info: Collaborative team culture with excellent career development opportunities.
- Why this job: Make a real impact while learning and growing in the tech industry.
- Qualifications: Experience with data analysis tools; enthusiasm for learning enterprise technologies.
The predicted salary is between 63000 - 97000 £ per year.
Requirements
- Experience with data analysis tools and techniques to extract meaningful insights and address problems.
- Foundational understanding of the Appian platform and a strong interest in developing deeper expertise in enterprise technologies; we also welcome candidates with limited experience but clear enthusiasm and willingness to learn.
- Confidence in communicating with a wide range of developers and technical resources.
- Excellent communication skills with strong attention to detail.
- Ability to work in a busy environment and delight the customer while protecting our business reputation.
- Ability to prioritise tasks and requests while balancing customer needs and our capabilities.
- Strong team-player mindset in a cross-functional environment.
- Ability to work independently and handle variable ticket volumes.
- A can-do attitude and eagerness to learn and make an impact.
- Nice to have: basic understanding of Appian objects and their functions.
- Nice to have: active Appian Certified Associate Developer certification.
- Nice to have: willingness to pursue additional certifications as the role evolves.
- Nice to have: foundational knowledge of database concepts, including tables, queries, and basic data modelling.
Responsibilities
- Act as the initial contact point for customer and partner queries and drive service issues through to resolution.
- Provide 1st line application support for incoming customer service desk tickets, including triaging, diagnosing, troubleshooting, resolving where possible, and managing escalations to second-line and third-line support.
- Handle basic fixes within the Appian platform with guidance and mentoring from a Senior Process Automation Engineer.
- Manage and maintain our customer knowledge base, identifying and closing gaps in frequently asked questions.
- Collaborate with other teams to address customer and partner queries that require cross-functional input.
- Act as a liaison between technical teams and business stakeholders, translating technical issues into business impact.
- Communicate incident and problem management updates to relevant stakeholders.
- Analyse incident data to identify recurring issues and propose preventative measures as part of continual service improvement.
- Prepare post-incident reports and conduct incident review meetings with stakeholders.
- Maintain a problem management database to track root causes and resolutions.
- Track problem records and actions through to resolution, supporting end-to-end internal improvement initiatives.
- Chair regular problem review boards and track problem record progress.
- Support and participate in audits where necessary.
- Technologies
- Support
- Security
- More
We are i Proov, the world leader in biometric verification, on a mission to make the world a safer place for businesses and consumers.
We work with customers across a range of sectors, including government, healthcare, transport, and financial services, and we are committed to diversity, equality, and inclusion.
This is a Technology Operations Analyst role within our Service Management team based in London, UK, with a hybrid working model requiring at least two days in the office each week.
The role offers a negotiable base salary, a 10% company performance bonus, equity, and our UK benefits package.
We also offer a wide range of benefits, including annual leave, growth shares after probation, pension and salary sacrifice schemes, health and wellbeing support, learning and development budgets, enhanced family leave, flexible hybrid working, office perks, and access to Vitality rewards.
Due to the nature of our work, the successful candidate may need to pass UK Security Clearance checks.
- last updated 27 week of 2026
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Remote Tech Ops Analyst in Halifax
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like iProov!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Remote Tech Ops Analyst at iProov.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like iProov.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Tech Ops Analyst at iProov, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Remote Tech Ops Analyst in Halifax
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at iProov, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at iProov. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at iProov
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at iProov!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.