As a Data Analytics Engineer, you’ll play a crucial role in analyzing complex datasets to uncover valuable insights and inform strategic decision-making. From developing data pipelines to building predictive models, you’ll use your expertise to drive business growth and innovation.
Experience: 2 to 2+ Years
Responsibilities
– Design, develop, and maintain data pipelines for collecting, processing, and analyzing large volumes of data.
– Perform exploratory data analysis to identify trends, patterns, and anomalies that drive business insights.
– Develop and implement data analytics solutions to support key business initiatives and objectives.
– Collaborate with cross-functional teams to understand data requirements and deliver impactful analytics solutions.
– Build and deploy predictive models to forecast trends, predict outcomes, and optimize business processes.
– Stay updated on emerging trends and technologies in data analytics and contribute to a culture of continuous improvement.
Requirements
– Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
– Proven experience in data analytics, including data wrangling, exploratory data analysis, and statistical modeling.
– Proficiency in programming languages such as Python, Java.
– Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
– Strong analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions.
– Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
– Experience with machine learning and predictive modeling techniques is a plus.