At a Glance
- Tasks: Design and maintain data pipelines, integrating datasets for impactful analytics.
- Company: Join Tameside Council's innovative Data Integration Team.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team shaping the future of local government data.
- Why this job: Make a difference in public services through data-driven decision making.
- Qualifications: Experience in data engineering and proficiency in Power BI.
The predicted salary is between 36000 - 60000 £ per year.
Contract Type : Permanent
Salary: Grade I. Scale 35 - £46,142 to Scale 37 - £48,226
Hours Per Week: 36 hours
Base Location: Tameside One
Assessment Date : TBC
The Role
We are seeking an experienced Analytics Engineer to help establish a Data Engineering and BI Development function here at Tameside. The role will support our drive towards data-driven decision making and enhanced public services.
You will play a key role in designing, building, and maintaining scalable data pipelines within Microsoft’s cutting-edge Fabric Data Analytics Platform, integrating disparate datasets, and enabling cross-cut analytics and reporting for various local government functions via Power BI.
The job role covers the full range of data relevant to Local Government, from Social Care case management systems, geospatial information and publicly available datasets and more. It will also play a key part in developing our wider data strategy and maximising the investments being made across our digital infrastructure.
The role will sit within a newly established Data Integration Team as part of the council’s Business Intelligence Service, alongside our Systems and Analytics functions. Close links with our ICT and Information Governance teams will also be required.
This is an exciting opportunity to join Tameside Council at the start of its journey to adopting a modern data infrastructure. As much of the work will be ‘green field’, you will be empowered to make significant progress and impact in a short space of time and build your skills and knowledge exponentially in the process.
About You
You will be an experienced Data professional, with a solid grounding in Data Engineering or BI Development or have worked as a Data Analyst with a knack for the technical side of the role.
If you’ve got knowledge and experience of standardising and automating data flows and reports, building dashboards that turn complex data into actionable intelligence and using data-centric coding languages like SQL and/or Python, that’s great. If you’ve done those things in a Local Government setting or in a modern PAAS or SAAS Data Platform, that’s even better.
You will have good analytical and problem-solving skills, strong technical knowledge, organisational skills and an ability to plan and deliver timely outcomes whilst dealing with multiple enquiries and tasks, excellent written and verbal communication skills, good numerical skills and ability to conduct data and systems analysis and be capable of building relationships with a wide variety of stakeholders.
About Us
At Tameside, we are committed to ensuring all our Citizens lead long, fulfilling and healthy lives. We are committed to supporting economic growth, providing high quality health and care services, protecting our most vulnerable and creating strong and supportive, self-sufficient communities.
We recognise that our people drive our success and enable the organisation to deliver on its vision, purpose and priorities, and that our people are our most important resource and asset. Our values underpin our practice and behaviours, and are at the heart of everything that we do; and we understand that how we do things is just as important as what we do. We pride ourselves on living by our STRIVE values of Support, Trust, Respect, Integrity, Value Diversity and Engage. Our values underpin our practice and behaviours and are at the heart of everything that we do. How we do things are just as important as what we do.
Our employees’ skills, experience and knowledge are essential to our success along with their happiness, wellbeing, commitment, enthusiasm and motivation to be the best they can be.
Unfortunately, at this time we are not able to offer sponsorship.
We are committed to developing a culture which respects individuals, appreciates difference and allows everyone regardless of background to reach their full potential. We are proud to be an accredited disability confident employer. Reasonable Adjustments will be considered in accordance with the Equality Act 2010 in relation to the Job Role Criteria.
Our rewards and benefits package can be viewed here
For further information about this role please contact the recruiting manager Dan Hodgson on or
Analytics Engineer in Ashton-under-Lyne employer: Tameside Council
At Tameside, we pride ourselves on being an excellent employer that champions innovation and collaboration within the public sector. Our work culture fosters inclusivity and professional growth, offering employees the chance to make a meaningful impact on local communities through data-driven decision making. With access to cutting-edge technology and a supportive team environment, you will have the opportunity to develop your skills while contributing to the enhancement of public services in a vibrant and dynamic location.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Ashton-under-Lyne
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We think you need these skills to ace Analytics Engineer in Ashton-under-Lyne
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 Tameside Council, 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 Tameside Council. 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 Tameside Council
✨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 Tameside Council!
✨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.
