Solutions Data Analyst

wi-Q Technologies
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Data Analyst | FTC

Data Analyst / IT Support

Data Analyst ( hybrid) 3 days in office

At wi-Q, we’re transforming the hospitality landscape for hotels and restaurants. Our state-of-the-art, contactless solutions centered around mobile ordering, self-service kiosks and order management, empower businesses to enhance guest experiences, streamline operations, and boost revenue.


Since the 2014, our global hospitality clients have benefited from the expertise of our award-winning development team, who have continued to challenge the boundaries of what can be achieved through the mobile ordering platform - alongside world-leading industry partners.


How We Work

We’ve built a culture of trust that encourages autonomy, open challenge, and learning from failure. That freedom lets people drive their own careers, move fast, and be heard.


The Opportunity

We are looking for a Solutions Data Analyst who excels at turning data into actionable insights while also ensuring the systems that capture and manage that data (particularly Salesforce) is set up to support accurate reporting. This role focuses on configuring systems to deliver meaningful analysis and recommendations to the business while making targeted Salesforce updates that improve data quality, usability, and reporting efficiency.


Key Responsibilities

  • Collect, analyse, and interpret data from Salesforce, Looker and other business systems to uncover trends, opportunities, and risks.
  • Use Google BigQuery and Looker (LookML) to design our “analytics layer”, creating refined tables and semantic models that power our reports and dashboards. You’ll be working with large datasets of global data and transforming them into meaningful insights for business consumption in Looker.
  • Build and maintain reports, dashboards, and visualizations that make data clear and actionable for stakeholders.
  • Present insights in a structured, engaging way, tailoring communication to both technical and non-technical audiences.
  • Identify gaps or issues in Salesforce data capture and reporting; implement configuration changes such as fields, validation rules, flows, and reporting enhancements.
  • Working within the RevOps team but also across Sales, Marketing, and other teams to translate business needs into data and reporting solutions. Also working with Engineering for new data streams from the platform.
  • Ensure ongoing data integrity by monitoring quality, identifying anomalies, and making proactive improvements.
  • Ensure our data practices comply with relevant security and privacy requirements. We operate in environments certifying to ISO 27001 and Cyber Essentials standards, so you will incorporate data retention, data sovereignty, and data security requirements into your day-to-day operations.
  • Recommend process or system enhancements that support better business intelligence and decision-making.

Success Measures

  • Deliver actionable, business-ready insights by analysing Salesforce and related data using SQL, Excel, and BI tools, with a clear focus on driving better decisions.
  • Ensure Salesforce is configured to support accurate, efficient reporting by making targeted updates to fields, flows, validation rules, and page layouts.
  • Develop and maintain high-quality Salesforce reports and dashboards, informed by a strong understanding of underlying data structures and dependencies.
  • Improve data quality, usability, and consistency by applying data governance, privacy, and security best practices across reporting solutions.
  • Translate complex data and technical concepts into clear insights and recommendations that resonate with both technical and non-technical stakeholders.
  • Partner closely with cross-functional teams to design scalable, practical solutions that balance analytical needs with system capabilities.

What You Will Gain

  • End-to-end ownership of analytics solutions, from shaping Salesforce data capture through to delivering insights and recommendations to the business.
  • Hands‑on experience configuring Salesforce to improve data quality, reporting efficiency, and analytical outcomes.
  • Deeper expertise across SQL, Excel, and BI tools (including Looker, Power BI, or Tableau) in a solutions-focused analytics environment.
  • Practical exposure to data governance, privacy, and security principles within a production Salesforce ecosystem.
  • Opportunities to strengthen your influence and communication skills by turning complex data into clear, actionable narratives.
  • A role that blends analytical problem‑solving with systems thinking, positioning you as a trusted partner between data, technology, and the business.

What we offer

  • Flexible remote working (37.5 hours/week), with travel, as needed, for team events, meetings, or business needs.
  • Competitive salary - 30k-40k (based on experience).


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.