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Citizen Watch Company of America, Inc.

Data Analyst

Citizen Watch Company of America, Inc., New York, New York, us, 10261


SUMMARY

The Data Analyst is responsible for providing data analytics, including mining, generation, and visualization. The Data Analyst transforms data into readable, goal-oriented reports and analysis to drive innovation and growth.

ESSENTIAL DUTIES AND RESPONSIBILITIES

include the following. Other duties may be assigned.Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources.Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across datasets.Work closely with stakeholders to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights.Manage analytics initiatives end-to-end from ideation through production and adoption using Agile methodologies.Proactively analyze data to answer key questions for stakeholders, with an eye on opportunities of business drivers.Collaborate with business leaders to craft questions to generate maximum value using analytics; enable business leaders to achieve their business and functional goals.EDUCATION and QUALIFICATIONS

Bachelor's degree with a focus on Marketing or Communications; or 4+ years' related experience and/or training; or equivalent combination of education and experience.Experience with delivery of data discovery and data analytics solutions to drive results.Exceptional communication and interpersonal skills.Ability to work with an agile, collaborative mindset.Ability to focus on details while identifying key issues and challenges.Ability to work cross functionally across stake holders and matrixed teams.Technical Fluency:

Must possess strong acumen in quantitative skills.Ability to dive into large volumes of data to develop insights and build hypothesis.Set up datasets to test hypotheses.Knowledge/working knowledge on advanced SQL with structured and un-structured datasetsWorking knowledge with cloud technologies along with modern data storage techniques like data marts, data lakes, data mesh etc.Hands-on knowledge on data pipelining platforms like Rivery, Five Tran etc.Ability to work with multiple databases like Snowflake, SQL-Server, MySQL etc.Advanced working knowledge on data visualization using tools e.g. PowerBI, Tableau or QlikViewBasic knowledge of data science life cycle for advanced machine learning algorithms.

EEOE

Annual salary range: $80,000.00 - $90,000.00