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- Tasks: Join us as a Senior Data Analyst to drive data-driven insights for strategic decisions.
- Company: CITB supports the construction industry in building a skilled and inclusive workforce.
- Benefits: Enjoy hybrid work flexibility with remote options and occasional office days.
- Why this job: Be part of impactful projects that shape the future of the construction workforce.
- Qualifications: Master's degree in Analytics or related field with 3-5 years of data analysis experience required.
- Other info: Work closely with Change Managers and external partners on complex data initiatives.
The predicted salary is between 43200 - 72000 £ per year.
We’re seeking an experienced Senior Data Analyst to be part of a new Digital, Data and Technology Function.
Our purpose: to support the construction industry to have a skilled, competent and inclusive workforce now and in the future.
CITB operates a hybrid working from home and head office in Peterborough policy, with approx. one day in the office per fortnight with additional travel to external sites and parties as required.
Role Purpose:
The Senior Data Analyst will play a critical role in extracting and interpreting data to drive informed decision-making across the organisation. This position is responsible for employing advanced statistical analysis, data mining, and predictive modelling techniques to generate data-driven insights that support both operational and strategic goals. The role requires working on complex or specialised data projects, providing advisory and hands-on support for data-related matters and management initiatives.
Reporting to the Head of Data this role works closely with Change Managers, Programme and Project support staff provided by the Enabling Partner or external partners., * Conduct advanced statistical analysis, data mining, and predictive modelling to generate insights that support strategic decision-making.
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Apply data analysis and visualisation tools to interpret and communicate findings effectively to various stakeholders.
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Identify, collect, migrate, and manage data from different systems, ensuring data quality, accuracy, and compliance.
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Clean, manipulate, and aggregate data, enabling comprehensive analysis and the linking of diverse data sets.
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Present data and conclusions in formats suited to user needs, enhancing accessibility and relevance of insights.
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Act as a data expert on complex projects, advising on data strategy, governance, and optimisation opportunities.
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Master’s degree in Analytics, Computer Science, or Data Science; Mathematics or in a related field and 3-5 years of industry experience in data analysis using SQL
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A minimum of 4+ years of full-time experience in data analysis
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Led a large-scale data migration
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Experience working at enterprise-scale
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Background in data projects with a broad understanding of data; migration, mapping and modelling
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Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages
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Advanced SQL knowledge
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Experience in Python and/or R programming
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Experience in Microsoft Data Stack (Azure/Data Factory/PowerBI/SQL Server)
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Proficiency in data visualisation tools, such as Tableau
Desirable
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Advanced scripting experience in R or Python
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Ability to write and maintain moderately complex data pipelines
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Experience of general data architecture would be beneficial but not essential
1924 - Senior Data Analyst employer: Citb.
Contact Detail:
Citb. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 1924 - Senior Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data tools and technologies mentioned in the job description, such as SQL, Python, R, and Microsoft Data Stack. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with large-scale data migrations or complex data projects. Be prepared to discuss specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving abilities and expertise in the field.
✨Tip Number 3
Showcase your ability to communicate data insights effectively. Prepare examples of how you've presented data findings to stakeholders in the past, focusing on how you tailored your communication style to meet their needs and enhance understanding.
✨Tip Number 4
Network with professionals in the construction industry or those who work in data roles within similar sectors. Engaging with industry-specific groups or forums can provide valuable insights and connections that may help you during the application process.
We think you need these skills to ace 1924 - Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with SQL, Python, and data visualization tools like Tableau. Emphasize any projects where you've conducted advanced statistical analysis or led data migrations.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how your skills align with the role's requirements. Mention specific examples of how you've used data to drive decision-making in previous positions.
Showcase Technical Skills: Clearly outline your technical skills related to data analytics, including your proficiency in SQL, Python, and Microsoft Data Stack. Highlight any experience with data pipelining and visualization tools to demonstrate your capability.
Prepare for Potential Questions: Anticipate questions related to your experience with data migration, statistical analysis, and project management. Be ready to discuss specific projects and the impact of your work on strategic decision-making.
How to prepare for a job interview at Citb.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and data visualization tools like Tableau. Highlight specific projects where you applied these skills, especially in advanced statistical analysis or predictive modeling.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Discuss your approach to data migration and how you ensured data quality and compliance during those processes.
✨Communicate Clearly
Since the role involves presenting data insights to various stakeholders, practice explaining complex data findings in simple terms. Use visuals if possible to demonstrate your ability to make data accessible and relevant.
✨Understand the Company’s Purpose
Familiarize yourself with CITB's mission to support the construction industry. Be ready to discuss how your data analysis can contribute to building a skilled and inclusive workforce, aligning your goals with the organization's objectives.
