At a Glance
- Tasks: Drive data-driven decisions and optimise analytics solutions for impactful insights.
- Company: Join Xiatech, a pioneering tech company with a culture-first approach.
- Benefits: Flexible remote work, career progression, and personal development opportunities.
- Other info: Dynamic environment with mentorship and growth potential.
- Why this job: Make a real impact from day one in a rapidly expanding organisation.
- Qualifications: Experience in analytics, SQL, and data visualisation tools like Power BI or Tableau.
The predicted salary is between 56700 - 69300 £ per year.
Description
About us
Xiatech is the pioneer of Xfuze, the world’s first AI-powered composable Integration, Data Management, Analytics and Orchestration Platform that innovatively connects systems, creates a single view of data and delivers actionable insights in one cloud-native, Saa S solution.
Business, technology and data teams use Xfuze to shorten time-to-insights, accelerate digital transformation, and extend the value of their legacy technology investments.
We’re a culture-first organisation and put our people at the forefront of everything we do.
We believe that a great working environment leads to a happy and productive team which is why we offer our staff the flexibility to work remotely or from our beautiful office in Fitzrovia, Central London.
The Role
As a Senior Insight Analyst, you will play a crucial role in driving data-driven decisions and insights through the development and optimisation of analytics solutions.
You will work closely with cross-functional teams to design, implement, and maintain robust analytics pipelines in SQL, leverage your expertise in Databricks using Python, and create impactful visualisations using Tableau or Power BI and other relevant technologies.
This is a fantastic opportunity for a driven individual looking for a role in a company which can offer career progression, personal development and on-the-job training.
This exciting role will have a genuine impact from day one and will enable the right person to progress their career in a rapidly expanding organisation.
Key Responsibilities
- Develop and maintain dashboards and reports to visualise and communicate insights derived from complex datasets.
- Design and implement scalable data pipelines using Databricks and SQL/Spark for efficient data processing and analysis.
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
- Optimise and enhance existing analytics infrastructure and processes to improve efficiency and reliability.
- Provide technical guidance and mentorship to junior team members.
- Stay updated with the latest advancements in analytics technologies and methodologies to continuously improve our analytical capabilities.
- Your Knowledge & Experience
- Must have
- Strong communication and collaboration skills, with the ability to effectively interact with cross-functional teams.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
- Excellent problem-solving and analytical abilities, with a keen attention to detail.
- Experience in analytics, data engineering, or a related role.
- Proficiency in Power BI or Tableau for data visualisation and dashboard development.
- Hands-on experience with SQL for data processing and analytics.
Desirable
- Strong programming skills in Python, with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/Py Torch.
- Experience with Databricks and Spark for data manipulation and querying.
- Prior experience in the retail industry, with a deep understanding of retail analytics.
- Previous consultancy experience, working directly with clients to deliver analytics solutions and insights.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- Your Personality
- Innovative
- Driven
- Resilient
- Insightful
- Empathetic
- Analytical
- Self-Starter
- Creative
- Problem solver
If you would like the opportunity to join an established UK-based Software as a Service organisation who believe in using the latest leading-edge technology to drive business growth, please enquire now by emailing Abbi@xiatech. co. uk
If you receive an offer of employment, this will be conditional upon satisfactory completion of a right to work & identity check, a reference check and a basic criminal record check for any unspent convictions.
Xiatech is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind.
Senior Insight Analyst employer: Xiatech
Xiatech is an exceptional employer that prioritises a culture-first approach, ensuring a supportive and flexible work environment for its employees. With the opportunity to work remotely or from our vibrant office in Fitzrovia, Central London, we foster professional growth through leadership roles and collaborative projects, empowering our team to innovate and excel in their careers. Join us to be part of a pioneering company at the forefront of AI-powered solutions, where your contributions directly impact client success and drive digital transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Insight Analyst
✨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 Xiatech!
✨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 Senior Insight Analyst at Xiatech.
✨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 Xiatech.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Insight Analyst at Xiatech, 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 Senior Insight Analyst
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 Xiatech, 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 Xiatech. 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 Xiatech
✨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 Xiatech!
✨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.
