Big Data Expert
1 week ago
We are looking for an experienced Data Analyst to join our team at CoSourcing Partners. The successful candidate will have extensive knowledge of big data technologies, cloud-based platforms, and advanced analytics tools. You will play a key role in transforming complex data into actionable insights that drive business decisions.
The ideal candidate will have 3+ years of experience in big data analytics, business intelligence, or data science. You will work closely with data engineers, business intelligence teams, and stakeholders to optimize data processes, identify trends, and develop predictive models. Your ability to handle massive datasets, implement scalable data solutions, and extract meaningful insights will be essential to improving business operations and decision-making.
Responsibilities
- Analyze large and complex datasets to identify patterns, trends, and correlations that inform business strategies.
- Develop statistical models, machine learning algorithms, and predictive analytics to support business forecasting.
- Work with structured and unstructured data from various sources, including databases, APIs, logs, and IoT devices.
- Interpret analytical results and present findings to business stakeholders, leadership, and technical teams.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in big data analytics, business intelligence, or data science.
- Strong proficiency in SQL, Python, or R for data manipulation, statistical analysis, and machine learning.
- Hands-on experience with big data processing frameworks (e.g., Hadoop, Spark, Kafka, or Flink).
- Experience with cloud-based data platforms such as AWS (Redshift, S3, Athena, Glue), Google Cloud, or Azure.
- Ability to create data models, ETL workflows, and automation pipelines for large-scale data processing.
- Expertise in data visualization tools (e.g., Power BI, Tableau, AWS QuickSight, or Looker).
- Strong analytical and problem-solving skills with the ability to derive meaningful insights from complex datasets.
- Excellent communication and presentation skills, with the ability to convey technical insights to non-technical audiences.
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