Data Analyst

Old Boston
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Join Our Team: Data Analyst Position at Linaker

Linaker is excited to announce an opportunity for a talented Data Analyst to join our team as we embark on a transformative digital journey. We are looking for an individual who is proactive, can manage multiple projects in a fast-paced environment. This individual will be passionate about data and analytics and committed to driving business success through data driven decisions and digital innovation. This job offers hybrid / remote working.

Key Responsibilities:

Analyse complex data sets to identify trends, patterns, and insights that will inform strategic decisions.

Extract data from multiple sources such as APIs, CSVs, SQL, Databases.

Transformation & modelling of raw data into a useable format for analysis.

Design and create interactive dashboards and reports using Power BI and Excel to communicate findings to stakeholders of all levels.

Ensure data accuracy and integrity by implementing robust data management practices.

Collaborate with cross-functional teams to support digital transformation initiatives and enhance data-driven decision-making.

Contribute to the support and continual development of the data landscape to ensure its optimal performance and availability.
Required skills & qualifications:

Excellent communication and collaboration skills, with the ability to manage multiple projects alongside ad hoc tasks.

A bachelor's degree or similar qualification in a computer or data science discipline.

Proven experience in data analysis or a related field with a strong proficiency in data analytics tools and software. (minimum of 3 years' experience)

Proficiency in SQL for database querying and manipulation.

Experience with APIs for data integration and retrieval.

Advanced skills in Power BI for creating interactive reports and dashboards.

Expert Excel skills, including complex formulas & data visualization.

Knowledge of Data Warehouse/Data Lake architectures and technologies.

Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala.

Experience with any of the following would be desirable but not essential; Microsoft’s Fabric data platform, Experience with ADF such as managing pipelines,

API development, API webhooks, automation. Previous experience working with facilities management datasets.
What we offer

THE PACKAGE

A competitive salary of up to £45,000 with annual pay reviews.

25 Days holiday plus bank holidays.

Opportunity to earn overtime.

Training contracts offered to support future development.

Employee assistant programme.

Full training by a supportive friendly team.

Pension scheme.

Annual events and competitions.
If you are ready to take on this exciting role and contribute to Linaker's digital future, we would love to hear from you. Please submit your application, including a resume and a cover letter detailing your experience and why you are the perfect fit for this role.

Apply Now and be a part of our digital transformation success story

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.