Data Analyst / Data Scientist
Sep 29, 2024
Company: APG Emerging Tech (APGET)
At APGET, we specialize in connecting talented data professionals with cutting-edge opportunities that drive innovation and business growth. Our clients span across industries like finance, healthcare, e-commerce, and more, where data-driven decision-making is critical. If you're passionate about big data, business intelligence, or machine learning, we have exciting roles for you!
Add paragraph text. Click “Edit Text” to update the font, size and more. To change and reuse text themes, go to Site Styles.
Role Overview
As a Data Analyst or Data Scientist, you will play a key role in transforming raw data into actionable insights. You’ll collaborate with cross-functional teams to develop data-driven solutions that impact decision-making, improve operational efficiency, and drive business success. You will be responsible for data analysis, visualization, predictive modeling, and working with advanced tools like Python, R, Tableau, and Power BI.
Key Responsibilities
Analyze large datasets to uncover trends, patterns, and insights that inform business decisions.
Develop predictive models and perform advanced statistical analysis to support key business objectives.
Create and present data visualizations that make complex data easy to understand.
Collaborate with stakeholders to define business requirements and translate them into actionable analytics solutions.
Utilize machine learning algorithms to improve business processes and product development.
Work with cross-functional teams to build and maintain data pipelines for continuous data integration and analysis.
Stay current with industry trends and best practices in data analytics, machine learning, and business intelligence.
Qualifications
Proven experience as a Data Analyst, Data Scientist, or a similar role.
Expertise in data analysis, statistical modeling, and predictive analytics.
Proficiency in Python, R, SQL, and data visualization tools such as Tableau or Power BI.
Experience with cloud-based analytics platforms like AWS, Google Cloud, or Azure.
Strong analytical and problem-solving skills, with attention to detail.
Excellent communication skills for presenting data findings and recommendations.
Ability to manage multiple projects and prioritize tasks effectively.
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.