At a Glance
- Tasks: Design and build analytics solutions while mentoring junior engineers.
- Company: Join a rapidly growing company committed to innovation and excellence.
- Benefits: Competitive pay, career growth, and the chance to work on impactful projects.
- Other info: Dynamic environment with opportunities for professional development.
- Why this job: Make a real impact in the industry with cutting-edge analytics technology.
- Qualifications: Expertise in QlikSense, SQL, and data visualisation tools required.
The predicted salary is between 70000 - 90000 £ per year.
Qliksense Developer Certain Advantage are hiring for a Qliksense Developer based in London.
This role is on an initial contract till the end of the year basis and is office based The company: We're working with a business that's on a strong growth trajectory, backed by ambitious plans.
With a commitment to innovation and excellence, they are poised to make a significant impact in the industry.
The role As a Senior Analytics engineer you are a subject matter expert, who designs & builds analytics solutions and mentors junior engineers.
You are also the key person to convert the Vison and Data and Analytics Strategies into IT solutions and deliver them.
- Design, build and implement POCs, prototypes and full-fledged UX solutions and strategies
- Communicate with key stakeholders to drive clarification of requirements and to promote UX designs and solutions
- Expert knowledge in Qlik Sense & Qlik Cloud Analytics to deliver complex, fast moving datasets to high value trading teams.
- Support the design, e. g., by analysing user journeys and drive towards simplification and automation
- Enable high quality & compelling story telling through creation of strong, simple to understand data visualizations
- Document technical solution design and strategy documentation
- Run quality assessments of counterparts' design
- Adhere to the organisations Release and Change process
The individual
- Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries
- Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout optimization, mobility, scripting and integrating advanced analytics
- Knowledge of upcoming trends in tools and technology
- Gas/Power Trading knowledge - Short-term trading, physical assets trading (CCGT, Wind, Solar, Battery)
- Risk - Modelling & understanding of risk & risk management.
- Commodity Modelling - Energy (power, gas, environmental products) and meteorology.
- Skilled at one of the following secondary visualization tools - (at least one of the following – (1) Power BI and Azure Analysis Services (AAS), (2) Spotfire, (3) SAP Analytics Cloud)
Does this sound like your next career move?
Apply today.
Working with Certain Advantage We go the extra mile to find the best people for the job.
If you're hunting for a role where you can make an impact and grow your career, we'll work with you to find it.
We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.
If this job isn't for you, head to certainadvantage. co. uk and register for job alerts and career guidance tips.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Qliksense Developer in Southend-on-Sea
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Grabjobs before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Grabjobs.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Grabjobs.
We think you need these skills to ace Remote Qliksense Developer in Southend-on-Sea
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Grabjobs, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Grabjobs, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Grabjobs’s attention and show the tangible impact of your work.
How to prepare for a job interview at Grabjobs
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Grabjobs.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Grabjobs.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Grabjobs.
