At a Glance
- Tasks: Design and build analytics products that empower businesses to make data-driven decisions.
- Company: Fast-growing consultancy specialising in data, AI, and advanced analytics.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Exciting projects across the UK and Europe with excellent career advancement potential.
- Why this job: Join a dynamic team and shape the future of analytics in major financial institutions.
- Qualifications: Strong SQL skills, experience with analytics tools, and proficiency in Python.
The predicted salary is between 80000 - 80000 £ per year.
Location: Sheffield, UK (Hybrid – 3 days per week onsite)
Salary: £80,000pa - permanent employment
Overview: Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. With programmes running across the UK and Europe, they are expanding their team to support large-scale data science and modelling initiatives. They are looking for a Software Engineer specialising in Analytics & Insights to design and build enterprise analytics products. The role focuses on developing high-quality datasets, dashboards and analytical tools that help business stakeholders make better decisions using data.
Key Responsibilities:
- Design and build analytics datasets and semantic layers for enterprise reporting
- Develop dashboards and analytical products used by business stakeholders
- Translate business questions into measurable metrics, dashboards and insights
- Design reusable analytics assets such as curated datasets, metrics frameworks and analytical models
- Implement CI/CD pipelines for analytics workflows
- Work with enterprise data platforms to deliver scalable analytics solutions
- Ensure strong data quality, governance and lineage practices
- Use AI-assisted tools and LLMs to accelerate analytics workflows, documentation and insight generation
Required Skills:
- Strong SQL and data modelling skills
- Experience building analytics datasets and semantic layers
- Hands-on dashboard development using Tableau, Power BI, Looker, ThoughtSpot or similar tools
- Experience with enterprise data platforms such as Snowflake, Databricks or BigQuery
- Proficiency in Python or similar scripting languages for analytics, automation or data manipulation
- Experience implementing CI/CD pipelines using Git, automated testing and deployment pipelines
- Understanding of enterprise data governance, lineage and data quality practices
- Strong ability to translate business questions into metrics, dashboards and actionable insights
Nice to Have:
- Experience designing reusable metrics frameworks or analytical models
- Experience working in large enterprise data environments
- Experience using LLMs or AI-assisted tools to accelerate analytics workflows
- Experience building analytics products directly for business stakeholders
Ideal Candidate:
- Analytics Engineer or BI-focused Software Engineer
- Comfortable working between data engineering and business analytics
- Able to translate complex enterprise data into clear dashboards and insights
- Strong communication skills with both technical and non-technical stakeholders
Unfortunately our client is unable to sponsor work visas, either now or in the future.
Software Engineer - Analytics/Insights in Sheffield employer: Lithe Consulting
As a leading UK manufacturer in advanced polymer-based processes, this company stands out as an excellent employer by fostering a supportive and collaborative work culture where every employee's contribution is valued. With a commitment to innovation and long-term growth, employees benefit from ongoing development opportunities and a stable environment that prioritises their well-being and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Analytics/Insights in Sheffield
✨Get Involved in Data Science Meetups
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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 Lithe Consulting.
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We think you need these skills to ace Software Engineer - Analytics/Insights in Sheffield
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 Lithe Consulting, 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 Lithe Consulting. 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 Lithe Consulting
✨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 Lithe Consulting!
✨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.
