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- Tasks: Analyse data, create dashboards, and improve processes through automation.
- Company: Join a local company with a global reach, focused on data-driven insights.
- Benefits: Enjoy hybrid working options and competitive pay rates.
- Why this job: Make an impact with your data skills in a supportive environment.
- Qualifications: Experience in Python, SQL, Power BI, and strong Excel skills required.
- Other info: Long-term contract opportunity with a minimum of 12 months.
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
We are currently looking for a data analyst with good solid data platform knowledge – Python, R, SQL, combined with dashboard creation in Power BI, Tableau or Alteryx & strong Excel skills.
Do you have experience of category data administration, data/process analysis & automation, confident using Excel & associated programs? Are you able to develop intuitive dashboards & programs to aid automation & user efficiency?
We have an opportunity with a local company who are looking to source a person for a long-term contract opportunity (min 12 months). We require a Data Analyst.
The responsibilities and tasks for this job include the data analysis for all locations throughout this global business. You will provide analysis and input of the data, whilst verifying the results in question and providing process improvements through automation when needed.
If you feel you can cover most of the below bullet points and can demonstrate experience of the opening points of this description we would love to hear from you. Candidates will have gained the following skills and experience through previous roles:
- Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
- Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
- Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
- Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
- Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
- Relevant experience of working within a data critical environment.
- An undergraduate degree from a college or university, or equivalent experience.
- Confidence in creating reports, & updating databases within MS Excel, MS Access.
- Support analysis of data, business process, then development of standard work, automation of data flows and understanding stakeholder.
- Extensive experience of creating dashboards using most of the following - Power BI, Power App, Power Automate, Alteryx, Tableau software, Snowflake databases & strong Excel skills.
Required Hours: 8.00am – 4.45pm Mon-Thurs, earlier finish Friday.
Please apply for further details.
Data Scientist employer: Entech Technical Solutions Limited
Contact Detail:
Entech Technical Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python, and Power BI. Consider creating a small project or dashboard that showcases your skills in these areas, as practical examples can really impress during interviews.
✨Tip Number 2
Network with professionals in the data analysis field, especially those who work with the technologies listed in the job description. Attend local meetups or online webinars to connect with potential colleagues and learn more about industry trends.
✨Tip Number 3
Prepare to discuss your experience with data automation and process improvements. Think of specific examples where you've successfully implemented these strategies in previous roles, as this will demonstrate your ability to add value to the company.
✨Tip Number 4
Research the company you're applying to and understand their data needs and challenges. Tailoring your conversation during the interview to show how you can address these specific issues will set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Power BI. Include specific projects or roles where you utilised these skills, as this will demonstrate your suitability for the Data Analyst position.
Craft a Strong Cover Letter: In your cover letter, emphasise your data analysis experience and your ability to create dashboards. Mention any relevant projects that showcase your skills in automation and process improvement, as these are key aspects of the role.
Showcase Relevant Skills: When filling out your application, clearly list your proficiency in tools like Tableau, Alteryx, and Excel. Provide examples of how you've used these tools to drive business insights or improve processes in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A well-presented application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Entech Technical Solutions Limited
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and Power BI during the interview. Prepare examples of how you've used these tools in past projects, especially in data analysis and dashboard creation.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss specific instances where you've improved processes through automation or data analysis. Companies love candidates who can show they can make a tangible impact on efficiency and effectiveness.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data-related problems. Practise explaining your thought process clearly, as this will demonstrate your analytical skills and ability to communicate complex ideas.
✨Familiarise Yourself with the Company’s Data Needs
Research the company and understand their data landscape. Knowing their industry and potential data challenges will allow you to tailor your responses and show that you're genuinely interested in contributing to their success.
