Data Operations Specialist - Garden City, United States - Chery Industrial Inc.

Chery Industrial Inc.

Verified Company

Garden City, United States

4 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

Data Operations Specialist
Chery Industrial

Garden City, NY (on-site)

Company Details
Chery Group is a US distributor of globally recognized heavy equipment and industrial products.

We are a growing and dynamic company with two distinct business divisions: Chery Equipment Group, specializing in the sales and rental of heavy equipment and tools, and Chery Industrial, offering a wide range of industrial products.

Responsibilities:

Execute meticulous data cleansing processes to uphold the accuracy and integrity of datasets.
Employ advanced data optimization techniques to enhance the overall quality of our information assets.
Collaborate seamlessly with crossfunctional teams to integrate diverse data sources, consolidating them into unified datasets.
Utilize data profiling and validation methodologies to pinpoint and rectify inconsistencies or errors.
Optimize data integration workflows, driving efficiency improvements and reducing processing time.
Establish and uphold data quality standards by implementing robust data governance practices.
Conduct comprehensive market research and analysis to gather insights into industry trends, customer behavior, and competitive landscapes.

Qualifications:

Proven experience in project management, data management, including proficiency in cleansing and optimization.
Strong analytical skills essential for identifying patterns within datasets.
Knowledge of data profiling and validation techniques.
Proficiency in Excel, Python, SQL, rStudio
Exceptional written and verbal communication skills, enabling clear and concise summarization of findings, results, and ideas.
Experience with market research experience, exemplary communication abilities, acute attention to detail, and a proactive approach to problemsolving (preferred)
Proficiency in optimizing data workflows to drive efficiency.