Technical Project Manager

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 has 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 data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

**Requirements**:

- Bachelor's degree in Business, Statistics, Mathematics, Economics, Technology, Computer Science or other related fields preferred.
- Experience working with data analysis on public cloud platforms like MS Azure, Google Cloud or AWS (Preferred - AWS console and tools, specifically S3 and Athena).
- Working knowledge of databases and Basic SQL.
- Experience working in Agile development for data driven solutions.
- Collaborate with product owners to organize and prioritize work leveraging Agile project management methodology.
- A good understanding of the full project life cycle.
- Familiarity with documentation in all phases of the project.
- Should have ability to gather requirements from stakeholders and facilitate testing.

**Responsibilities**
- Manage the data analysis and design of analytics products across a focused area of the business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals.
- Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs.
- Lead structured, end-to-end analysis to inform product strategy, data architecture and reporting decisions.
- Analyze existing datasets and interfaces to understand and document current state data architectures.
- Drive data architecture that enforces consistency across the data landscape with an emphasis on single sources of truth.
- Perform extensive data profiling to understand data behavior and business rules.
- Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences.
- Drive adoption of and socialize data products with end users through user training.
- Leverage frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics.
- Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
- Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax.
- Identify business opportunities, establish goals, communication on the analytics pipeline.
- Establishing analytics reporting that enables enhanced decision-making - Dashboard, MIS.
- Direct, develop and implement statistical models across multiple programs to improve outcomes.
- Solve complex business problems leveraging advanced analytics and big data capabilities.
- Provide insights and improve program performances.

**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.