Business Intelligence Developer
1 month ago
Job Description :
The ideal candidate's favorite words are learning, data, scale, and agility.
You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities :
Analyze raw data :
- Assessing quality, cleansing, structuring for downstream processing.
- Design accurate and scalable prediction algorithms.
- Collaborate with engineering team to bring analytical prototypes to production.
- Generate actionable insights for business improvements.
Qualifications :
- Bachelor's degree or equivalent experience in quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.).
- At least 1 2 years' of experience in quantitative analytics or data modeling.
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
- Fluency in a programming language (Python, C,C++, Java, SQL).
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau).
Title : Business Intelligence Developer
About the Job :
As a Business Intelligence Developer, you'll be at the forefront of leveraging data to drive business insights and improvements.
Your passion for learning and expertise in data analysis will be instrumental in tackling complex data sets to uncover actionable insights.
Collaborating closely with cross-functional teams, you'll play a pivotal role in transforming raw data into valuable information that informs strategic decision-making and enhances business performance.
Responsibilities :
Data Analysis :
- Dive deep into raw data, evaluating its quality, and employing cleansing and structuring techniques to prepare it for downstream processing.
Algorithm Design :
- Develop accurate and scalable prediction algorithms that forecast business trends and outcomes, enabling proactive decision-making.
Collaboration :
- Work closely with the engineering team to translate analytical prototypes into production-ready solutions, ensuring seamless integration and functionality.
Insight Generation :
- Utilize your analytical skills to extract actionable insights from data analysis, identifying opportunities for business improvements and optimization.
Continuous Learning :
- Stay abreast of the latest advancements in data analytics, machine learning, and predictive modeling techniques, continually enhancing your skill set to drive innovation.
Qualifications :
Educational Background :
- Bachelor's degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering.
Experience :
- Minimum of 1-2 years of hands-on experience in quantitative analytics or data modeling, demonstrating proficiency in extracting insights from complex datasets.
Technical Skills :
- Deep understanding of predictive modeling, machine learning, clustering, and classification techniques, coupled with fluency in a programming language such as Python, C, C++, Java, or SQL.
Tool Proficiency :
- Familiarity with Big Data frameworks and visualization tools, including Cassandra, Hadoop, Spark, and Tableau, is advantageous.
In this dynamic role, you'll have the opportunity to make a significant impact by harnessing the power of data to drive strategic decision-making and propel business growth.
Experience is 2 - 4 years
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