Data Analyst

About CloudKubed: 

CloudKubed is an innovative digital and cloud transformation consultancy. We are trusted by our customers to deliver significant technology transformation programmes within both the public and private sectors.  

We’re a down-to-earth team with a passion for delivering successful outcomes for our customers. As we continue to grow, we are looking for ambitious individuals who share our values and want to be a part of this exciting journey. 

About the Job:  

As a Data Analyst, you will join our technology team and play a vital role in delivering data-focused solutions to our clients. You will be proficient in analysing data, developing data models, and using industry-standard data analysis tools. You’ll work with our clients and internal teams to define data analysis standards, practices, and common data models. You’ll play a key part in driving the Technology and Data practice forward, providing thought leadership and support to others. 

Key Responsibilities:  

• Analysis of complex data sets to identify tends, patterns, and insights. 

• Develop conceptual, logical, and physical data models from business processes. 

• Conduct business workshops to gather requirements and translate them into technical solutions. 

• Define and implement data analysis standards, practices, and common data models including data lineage, data ownership, and stewardship.  

• Use industry-standard data analysis tools to create visual representations of data. 

• Work collaboratively with clients and internal teams to ensure successful delivery of data solutions.  

• Provide thought leadership and support in data analysis. 

• Understanding of big data and data lake concepts, management of data life cycle, GDPR, ISO, FIHR 

Requirements

• Proven experience in data analysis with a strong understanding of conceptual, logical, and physical data models. 

• Ability to define analysis standards, practices, and common data models. 

• Proficiency in RDMBS architectures and the ability to synthesise complex data problems into logical models and physical solutions. 

• Strong knowledge of and experience with reporting packages, databases (SQL, etc.), and programming (XML, JavaScript, or ETL frameworks). 

• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) 

• Capability to conduct business workshops and gather requirements. 

• Excellent data visualization skills with the ability to represent complex ideas graphically. 

• Experience in developing data models and data workflows, particularly in the finance sector. 

• Familiarity with a variety of data analysis approaches, tools, and model repositories.  

• Demonstrate the skills of python, pyspark, and MLOps , cognitive analysis 

Desirable Requirements: 

• Experience working with a technology consultancy.  

• Strong knowledge of metadata management and related tools. 

• Strong interpersonal and communication skills  

• Microsoft Certified - Azure Data Fundamentals or similar 

• Adept at report writing and presenting findings. 

• Ability to work under pressure and meet tight deadlines. 

• Advanced troubleshooting skills.  

• Proficiency in tools such as PowerBi, Synapse, Tableau, BOXi, Erwin, Purview. 

• Experience working in the public sector.  

Benefits

What we offer you: 

• 10% Performance related bonus 

• Flexible & remote working  

• Private Healthcare via our partner Vitality Health. 

• Training & Certifications  

• Regular events & meetups  

• You will be provided with training and the opportunities to grow your career within an exciting and ever-evolving industry.  

• Annual Leave 28 days per annum (+Bank Holidays)  

• Enhanced Company Sick Pay 

We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. 

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