- 経験
- どれでも
- 給料
- —
- 求人情報
- 1
- 投稿済み
- 3時間前
- Work mode
- 在宅勤務
- 教育
- Quantitative, business, or information-related field
- Eligibility
- Applicants who are comfortable with a part-time remote data-focused role and meet the analytical, communication, and spreadsheet requirements can apply. Prior experience is preferred but not compulsory.
- Resume
- Required to apply
仕事内容
Role overview
This part-time remote position is for a Data Entry Analyst at Printemps 80, with a primary focus on entering, checking, and interpreting data to support business reporting and decision-making.
What you'll do
In this role, you will gather information from multiple sources, enter it into the appropriate systems, and keep records updated, complete, and consistent. You will also perform straightforward analysis, prepare reports or dashboards, and call out trends, unusual patterns, and data quality concerns for relevant stakeholders.
In addition, you will document data-handling steps, keep files and records well organized, coordinate with teammates through online collaboration tools to clarify expectations and resolve mismatches, and suggest improvements to strengthen data accuracy and efficiency over time.
Qualifications
- You should be comfortable working with data analytically, spotting patterns, and turning findings into practical conclusions.
- Hands-on exposure to data analysis and basic statistics is needed to summarize data, check results, and assist reporting work.
- A working understanding of data modeling concepts, such as structuring data and preserving data integrity, is expected.
- Strong written and spoken communication skills are important for sharing findings and working with remote colleagues.
- Careful attention to detail and a high standard of accuracy are essential for data entry and record maintenance.
- You should be proficient with spreadsheets and common data tools such as Excel and Google Sheets; experience with BI tools is an added advantage.
- The role requires good time management in a part-time remote setting, along with the ability to juggle several tasks with limited supervision.
- Previous experience in data entry, data analysis, or operations support is preferred, though not mandatory.
- A background in quantitative, business, or information-related studies is beneficial.
Additional information
This is a remote, part-time job based in the United States. No specific salary or stipend details were provided.