Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
RESPONSIBILITIES:
- Work on the latest applications of data science to solve business problems
- Provide ad hoc data requests (summarization, analysis)
- Work with multiple stakeholders to author technical data requirements for a technical audience (+ build templates of these set of Technical requirements)
- Ability to break down a project into specific tasks involving business analysis, data science, and engineering
- Working with the data engneering team to create processes for data ingestion, data validation, and balancing checks
- Architect data analytics frameworks and solutions to solve data-driven business problems
- Use Data Science, Machine Learning, Artificial Intelligence, Operational Research techniques to develop data models
- Extract, transform, and organize the data into datasets using tools like SQL
- Validate the results of the model solutions by developing testing frameworks using Hadoop, Python, etc.
- Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solutions
Requirements
- 5-6 years of professional work experience
- Salesforce Marketing Cloud experience good to have
- Experience in Asset/Wealth Management is preferred
- Experience in data profiling, data analysis, performing data quality checks, and data governance practices
- Experience of working with offshore teams
- Work with multiple stakeholders to author technical data requirements for a technical audience and build templates of this set of Technical requirements
- Bachelor's degree in business administration or a closely related field. MBA preferred
- Strong project management and team management skills and ability to work with global teams
- Strong SQL skills and excellent knowledge of visualization tools like Tableau
- Python and SQL programming (Reporting)
- Knowledge of statistical and machine learning algorithms
- Exposure to cloud platforms and big data systems such as AWS, Hadoop HDFS, Hive is a plus
- Familiarity with principles and tools for data governance and stewardship
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.