Key Responsibilities:

Collect, organize, and analyze large datasets using a variety of tools and techniques
Develop and maintain data models, databases, and dashboards to support data analysis and reporting
Identify trends, patterns, and anomalies in data and present insights to key stakeholders
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
Communicate complex data and findings in a clear and concise manner to both technical and non-technical audiences
Develop and implement data quality and validation processes to ensure accuracy and consistency of data
Stay up-to-date with industry trends and best practices in data analysis, visualization, and reporting
Proactively identify opportunities to improve data collection, storage, and analysis processes
Participate in the design and implementation of data infrastructure and systems

Qualifications:

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
Minimum of 3 years of experience in data analysis, preferably in a Big Data environment
Strong understanding of data structures, algorithms, and database concepts
Proficiency in SQL and experience with Big Data technologies such as Hadoop, Spark, or Hive
Experience with data visualization tools such as Tableau, Power BI, or QlikView
Excellent analytical, problem-solving, and critical thinking skills
Strong attention to detail and ability to work with complex datasets
Excellent communication and interpersonal skills
Ability to work independently and in a team environment
Experience with programming languages such as Python, R, or Java is a plus

Hashtags