What You Will Do
- Ensure that analytics products meet business needs, align with strategic goals, and drive value generated by digital products. Your mission is to drive requirements for data products to drive rental growth.
- Performing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
- Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
- Defining requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
- Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
- Assisting in the development, testing, and delivery of data products; Analyzing existing offerings, preparing technical documentation, and recommending upgrades.
What You Will Have
- Business Statistics: Working knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
- Accuracy and Attention to Detail: Extensive understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
- Analytical Thinking: Working knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
- Programming Languages: Working knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
- Machine Learning: Working knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
- Query and Database Access Tools: Working knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Considerations For Top Candidates
- Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
- Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
- Strong analytical mindset with a deep understanding of data analytics.
- Effective communication skills with the ability to collaborate across all levels of a matrixed organization.
- Ability to clearly communicate technical findings and insights to non-technical stakeholders, fostering a collaborative and data-informed environment.
- Knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, as well as new concepts such as data fabrics, data mesh, and data lake house.
- Strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts
- Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).
- In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
- Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
- Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.