Position Description
We are seeking an innovative and highly skilled Senior Data Analyst with strong development experience to join our team. The ideal candidate will have expertise in analyzing complex data sets, developing advanced analytics solutions, and leveraging cutting-edge AI technologies to drive business insights. This role requires hands-on experience with Python and other programming languages that support business applications, web applications, and technical analytics, as well as a passion for implementing forward-thinking AI and machine learning solutions.
As a Senior Data Analyst, you will work closely with cross-functional teams to deliver actionable insights and scalable data solutions that support strategic decision-making and enhance our technological capabilities. This role offers the opportunity to work on innovative data projects that directly impact business growth and efficiency.
Job Responsibilities
- Data Analysis & Insights: Analyze large, complex datasets to identify trends, patterns, and actionable insights that drive business decisions across various functions, including sales, marketing, operations, and finance.
- Advanced Analytics & Modeling: Develop and maintain statistical models, predictive analytics, and machine learning models using Python, R, and other relevant tools. Utilize AI techniques such as NLP, computer vision, and deep learning to address complex business challenges.
- Data Pipeline Development: Design, build, and maintain ETL pipelines and data integration workflows to ensure accurate and timely data availability across systems. Collaborate with data engineers to optimize data infrastructure and scalability.
- Application Development: Develop and deploy data-driven applications and dashboards using Python, JavaScript, and other relevant languages and frameworks. Create user-friendly interfaces that empower stakeholders with self-service analytics capabilities.
- Web and Business Applications: Apply development skills to integrate analytics solutions into web applications and business platforms, enhancing the user experience and enabling more seamless data interactions.
- AI & Innovation: Explore and implement emerging AI technologies to solve complex problems, such as generative AI, automated decision-making, and AI-powered data visualization tools. Stay current with industry trends and best practices to continuously enhance our analytics capabilities.
- Data Visualization: Design and create visualization dashboards and reports using tools like Power BI, Tableau, or custom web-based solutions to present complex data in a clear and engaging manner.
- Collaboration & Stakeholder Engagement: Work closely with business leaders, data engineers, and software developers to understand needs, translate requirements into technical solutions, and communicate findings effectively to non-technical stakeholders.
Qualifications
- Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience:
- Minimum 5 years of experience in data analysis, analytics development, or a similar role.
- Strong background in Python for data analysis, with experience in pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar libraries.
- Proficiency in other programming languages such as R, JavaScript, SQL, or Java is highly desirable.
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and big data technologies like Spark is a plus.
- AI & Machine Learning: Hands-on experience with machine learning models, NLP, computer vision, and the ability to develop custom AI solutions to solve business problems.
- Development Skills: Proven ability to design and develop data-driven web applications and APIs using frameworks such as Flask, Django, or React. Experience with version control (e.g., Git) and Agile development practices is preferred.
- Analytical Thinking: Strong problem-solving skills and the ability to translate complex data into clear, actionable insights. Adept at developing and validating statistical models to support decision-making.
- Data Visualization: Expertise in creating dynamic, user-friendly dashboards and visualizations using Power BI, Tableau, or custom solutions.
- Communication Skills: Excellent verbal and written communication skills, with the ability to simplify technical concepts and present data insights to a variety of stakeholders.
Why Join Us?
- Innovative Environment: Work on exciting projects that leverage the latest in AI and analytics to solve real-world challenges.
- Growth Opportunities: Expand your skillset and explore new technologies while contributing to the strategic growth of the company.
- Collaborative Team: Join a team of passionate data professionals and technical experts who value creativity, curiosity, and continuous learning.