Data Analyst
Job ID : 34461
Job Title : Data Analyst
Location : New York, NY
Comapny Name : Twelve Labs
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $34000 - $44000 per hour
Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]
No. of Positions : I have ongoing need to fill this role
Posted on : 08-18-2023
Required Skills : Data cleaning, Preparation, Data analysis.
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :
Responsibilities:
- Builds, refreshes and maintains reports and visualizations to effectively communicate data driven insights to users for a variety of audiences. e.g. visualization solutions of data into reports and graphics to illustrate facts, trends, and insights.
- Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
- Review and establish KPIs to measure the effectiveness of business decisions.
- Create presentations and reports based on recommendations and findings.
- Work with business leaders to identify opportunities for improvement.
- Using data analyst tools to extract data from data sources, remove corrupt or wrong data and perform quality analysis on data
- Using data analysis and statistical tools to analyze data and forecast trends with actionable business insights
- Working with other team members from Logistics, DC Operations and HR to stay on top of data management processes/systems.
- Establishing processes and systems to make working with data more efficient.
- Identifying areas to increase efficiency and process automation.
- Analyzing, interpreting, and manipulating complex data sets relating to the S&S operations and logistics requirements.
- Cooperating with internal and external clients to fully understand data content.
- Setting up and maintaining automated data processes.
Key Skills:
- Data cleaning and preparation.
- Data analysis and exploration.
- Statistical knowledge.
- Creating data visualizations.
- Creating dashboards and reports.
- Writing and communication.
- Domain knowledge.
Company Details :
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