Log In
Sign Up
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. Will accept suitable combination of education & experience
- 4-10 years of experience designing Data Warehouse, BI or Analytics solutions
- Excellent problem-solving and interpersonal communication skills
- Business process acumen and ability to map processes to data models and architectures
- Comfortable working in a fast-paced, results-oriented environment
- Proven ability to deliver on commitments
- Experience in dimensional modeling
- Expert level proficiency in SQL
- Experience analyzing large structured and unstructured datasets
- Demonstrated ability to develop structured analysis that support data architecture design
- Experience defining data architectures to support data visualization tools such as Tableau, IBM Cognos, and PowerBI
- Experience defining data architectures to support semantic data layers, such as SSAS Cubes/Tabular and Cognos Packages
- Solid understanding of various database management systems like Oracle, MySQL, Teradata, Netezza, SQL Server, or DB2
- Working understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and XP Programming, and how theyre applied in workplace culture
- Experience with cloud environments such as Microsoft Azure, Google Cloud, and AWS
- Experience with Big Data and NoSQL technologies like Hadoop, HBase, Spark, Impala, Cassandra, Storm, Flume, Pig, or Hive
- 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.
- Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards.
- 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.
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.
