2

Data Analyst Remote Chinese Jobs in Arizona (NOW HIRING)

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul ...

next page

Showing results 1-20

Data Analyst Remote Chinese information

What is a data analyst remote Chinese?

Data Analyst Remote Chinese jobs are positions where professionals analyze and interpret data while working remotely, often from home, and require proficiency in the Chinese language. These roles typically involve gathering, cleaning, and analyzing large datasets to help organizations make data-driven decisions. Being fluent in Chinese is essential for understanding data sources, collaborating with Chinese-speaking teams, or working with data from Chinese markets. Remote data analysts use tools such as Excel, SQL, Python, or specialized analytics software, and they may work for companies in a variety of industries, including technology, finance, and marketing.

How does working as a remote data analyst for Chinese-language data differ from traditional in-office roles?

As a remote Data Analyst specializing in Chinese-language data, you'll often collaborate virtually with cross-functional teams across different time zones. Communication can include both English and Chinese, so proficiency in both languages is highly valued. Remote work offers flexibility, but it also requires strong self-discipline and proactive communication to stay aligned with team goals and project deadlines. You may encounter unique challenges such as ensuring data privacy compliance with Chinese regulations and working with region-specific data sources.

What are the key skills and qualifications needed to thrive as a data analyst remote Chinese, and why are they important?

To excel as a Data Analyst Remote Chinese, you need strong analytical abilities, data interpretation skills, proficiency in Chinese and English, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with data analysis tools like SQL, Excel, Python, and visualization platforms such as Tableau or Power BI is often required. Excellent communication, attention to detail, and self-motivation are crucial soft skills, especially when working independently across time zones. These skills enable clear insights, accurate reporting, and effective collaboration in a global remote environment.
What are the most commonly searched types of Data Analyst Chinese jobs in Arizona? The most popular types of Data Analyst Chinese jobs in Arizona are:
What cities in Arizona are hiring for Data Analyst Remote Chinese jobs? Cities in Arizona with the most Data Analyst Remote Chinese job openings:

Data Analyst (REMOTE)

Arsenault Inc

Phoenix, AZ โ€ข Remote

$115K - $126K/yr

Full-time

Re-posted 6 days ago


Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; Designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

Experience with Microsoft BI stack (e.g., SSRS) a bonus.

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.