Details
Our client, a leading technology company, is seeking a skilled Big Data Analyst to join their team. As a Big Data Analyst, you will be responsible for analyzing and interpreting complex data sets and working with large-scale data warehousing systems.
Location
On-Site - Leicester
Published
in Information Technology - Database Administration & Analysis
in Information Technology - Testing & QA
in Information Technology - Project Management & Delivery (IT)
by Info-Expertise
Job Description
Our client, a leading technology company, is seeking a skilled Big Data Analyst to join their team. As a Big Data Analyst, you will be responsible for analyzing and interpreting complex data sets, providing insights to drive business decisions, and working with large-scale data warehousing systems.
Responsibilities:
Analyze and interpret large, complex data sets to identify trends, patterns, and insights
Develop and maintain data models, databases, and data systems
Collaborate with cross-functional teams to design and implement data-driven solutions
Ensure data accuracy, completeness, and consistency through quality control measures
Develop and maintain documentation of data processes, systems, and procedures
Work with business stakeholders to identify and prioritize data analysis requirements
Communicate data findings and recommendations to stakeholders in a clear and concise manner
Requirements:
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
3+ years of experience in data analysis, data modeling, and data warehousing
Strong knowledge of SQL and database technologies such as MySQL, Oracle, or SQL Server
Experience with data visualization tools such as Tableau or Power BI
Proficient in programming languages such as Python, R, or Java
Strong analytical skills with the ability to collect, organize, and analyze large, complex data sets
Excellent problem-solving skills and attention to detail
Strong communication and interpersonal skills
If you are a passionate Big Data Analyst with experience in data analysis, modeling, and warehousing, we encourage you to apply for this exciting opportunity.