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, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI.
Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
The Tiger Analytics team is looking for a BI Technical Product Owner to deliver innovation and tools to global business teams.
This is a cross functional role that requires strong interpersonal skills and the ability to liaison with technical teams and interact with internal clients.
Job Duties :
Engage with business stakeholders in gathering and formulating the requirements and coming out with a relevant solution construct for enterprise BI and Dashboard initiatives
Analyze business requirements; construct the conceptual model and data flow processes
Communicate data architecture to development teams
Consult and perform design reviews to ensure business needs are met wireframing, prototyping, etc.
Utilize Business Intelligence tools to build and support dashboards
Partner with other team members as well as cross-functional partners to support business processes and system solutions
Manage and resolve client issue escalation and systemic improvements
Work with offshore team to develop / deliver the BI dashboards / reports and bring the new, scalable solutions to business stakeholders
Lead validation efforts to ensure data quality
Identify and execute risk mitigation and compliance exercises
Requirements
Bachelor’s degree in Computer Science or related field.
8-12 year of experience in a BI Manager or related role delivering BI / Reporting projects in an enterprise or consulting role
Experience with Quicksight and AWS environment is a must
Knowledge of other Business intelligence and reporting tools such as PowerBI and Tableau is highly desired
Experience and knowledge with the Data Warehouse ETL process
Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus
Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
Experience or familiarity with the Retail and e-commerce industry is a big plus
Excellent communication skills
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.
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