Strategy & Data Science Internship

Shanghai

Pay: Pay not listed
Work setting: On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting
Employment: Part-time · Internship — employment source
Employment type Part Time Internship
Employment type in the employer’s posting: Part Time Internship
From the employer’s posting

What you’ll work on

As a data team associate, you will support the data team in daily data collection, collation and cleaning, ensuring data accuracy and completeness.

The primary focus of your work will be to assist in building reliable data foundations: this includes participating in data report creation/updates, supporting data visualization (e.g., Excel charts, basic BI tool use), and aiding in data research & analysis—summarizing findings into preliminary reports to inform business decisions.

Collect, collate and clean data to keep it accurate and complete
Create and update data reports and support Excel and basic BI charts
Research and analyse data and summarise findings in preliminary reports
Classify and file data materials to keep data documentation standardised

From the employer’s posting

As a data team associate, you will support the data team in daily data collection, collation and cleaning, ensuring data accuracy and completeness. You will work alongside the core data team on routine tasks and ad-hoc data-related assignments.

The primary focus of your work will be to assist in building reliable data foundations: this includes participating in data report creation/updates, supporting data visualization (e.g., Excel charts, basic BI tool use), and aiding in data research & analysis—summarizing findings into preliminary reports to inform business decisions.

Assist the data team in daily data collection, collation and cleaning to ensure data accuracy and completeness

Participate in data report creation/updates, and support data visualization tasks (e.g., Excel charts, basic BI tool use)

Aid in data research & analysis, summarize findings into preliminary reports to inform business decisions

Help maintain data documents: classify and file data materials to standardize data assets

What you’ll bring

All qualifications

Core experience

Bachelor's degree or above
Strong command of Microsoft Excel, including VLOOKUP and Pivot Tables
Basic data processing and analysis skills with clear logical thinking
Strong learning agility, proactive mindset and good communication

Preferred experience

Bachelor’s degree or above; majors in Statistics, Mathematics, Computer Science, Information Management, Economics or related fields are preferred
Familiarity with Python (Pandas, Numpy)

Qualification wording

Bachelor’s degree or above

strong command of Microsoft Excel (including VLOOKUP, Pivot Table, etc.)

Data-sensitive, with clear logical thinking, plus solid basic data analysis and problem-solving capabilities

Strong learning agility, proactive mindset, sense of responsibility, and excellent communication, coordination skills & team spirit

Bachelor’s degree or above; majors in Statistics, Mathematics, Computer Science, Information Management, Economics or related fields are preferred

Familiarity with Python (Pandas, Numpy)

Education & alternatives

Ideally, you will have: - Bachelor’s degree or above; majors in Statistics, Mathematics, Computer Science, Information Management, Economics or related fields are preferred - Basic data processing proficiency, with strong command of Microsoft Excel (including VLOOKUP, Pivot Table, etc.)

Tools in this posting

Python
SQL
Excel
NumPy
pandas

Source

- Basic knowledge of SQL query statements - Familiarity with Python (Pandas, Numpy) - Prior data-related internship or project experience

Preferred Qualifications: - Basic knowledge of SQL query statements - Familiarity with Python (Pandas, Numpy)

- Bachelor’s degree or above; majors in Statistics, Mathematics, Computer Science, Information Management, Economics or related fields are preferred - Basic data processing proficiency, with strong command of Microsoft Excel (including VLOOKUP, Pivot Table, etc.) - Data-sensitive, with clear logical thinking, plus solid basic data analysis and problem-solving capabilities

Posting record

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Open 6 monthsWe first saw this posting 198 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 15, 2026 · 198 days ago
Recorded sightings: 160
Last seen by us: Oct 29, 2026
Employer says posted: Feb 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Ekimetrics is a global leader in data science and AI-powered solutions. For 17 years, we have pioneered the use of AI and advanced data science applied to unified marketing measurement, holistic business optimization and broad-ranging sustainability goals.

We help companies rethink the way they operate, so they can reconcile financial KPIs with non-financial goals, like brand strength, customer lifetime value and operational effectiveness.

Ekimetrics is an independent firm with offices in Paris, London, New York City and Hong Kong. Since 2006, we have led more than 1,000 data science projects in over 50 countries, generating more than €1bn in profit for clients. We are working in a wide variety of industries (Luxury, Retail, Financial Services, Automotive, Property Development, FMCG, etc) with Fortune 500 companies.

At Ekimetrics, we believe our best assets are our people. They are what set us apart and drive our success.

We are an entrepreneurial spirit and innovation. We share what we know with others, and above all, we love our values-driven attitude: Curiosity, Creativity, Excellence, Transmission, and Pleasure.

To accelerate our business growth in the APAC region, we decided to open a new office in Shanghai (operational since January 2024).

About The Role

As a data team associate, you will support the data team in daily data collection, collation and cleaning, ensuring data accuracy and completeness. You will work alongside the core data team on routine tasks and ad-hoc data-related assignments.

You will also help maintain data documentation: classifying and filing data materials to standardize data assets. Additionally, you will support the upskilling of junior peers (where applicable) by sharing basic data processing practices.

The successful candidate will be expected to drive consistency in data workflows, transfer basic data management knowledge to team members as needed, and contribute to strengthening Ekimetrics’ data operational standards in Asia.

Date Support & Management:

Assist the data team in daily data collection, collation and cleaning to ensure data accuracy and completeness
Participate in data report creation/updates, and support data visualization tasks (e.g., Excel charts, basic BI tool use)
Aid in data research & analysis, summarize findings into preliminary reports to inform business decisions
Help maintain data documents: classify and file data materials to standardize data assets

Team Collaboration:

Cooperate with the team to complete other temporary data-related tasks

About You

The successful candidate will have a balance of basic data processing skills, logical thinking, and a proactive attitude. The work will be rooted in supporting reliable data operations for the team and business.

Ideally, you will have:

Bachelor’s degree or above; majors in Statistics, Mathematics, Computer Science, Information Management, Economics or related fields are preferred
Basic data processing proficiency, with strong command of Microsoft Excel (including VLOOKUP, Pivot Table, etc.)
Data-sensitive, with clear logical thinking, plus solid basic data analysis and problem-solving capabilities
Strong learning agility, proactive mindset, sense of responsibility, and excellent communication, coordination skills & team spirit

Preferred Qualifications:

Basic knowledge of SQL query statements
Familiarity with Python (Pandas, Numpy)
Prior data-related internship or project experience

What We Offer

Clear career growth path and professional skill training, with exposure to data work in real business scenarios
Flexible working atmosphere, with patient guidance from team members and full respect for interns' ideas
Opportunity to convert to a full-time employee
Strong culture and work environment

In 2023, Ekimetrics obtained the mission-driven company status, which demonstrates our strong commitment to Corporate Social Responsibility (CSR). Our mission statement: Accelerate organizations transformation towards sustainability, through the application of data science and artificial intelligence.

We are also Great Place to Work certified© in France, the UK, and the US, and received the “Best companies to Work for in Asia 2023©” award in Hong Kong.

Employment type

Part Time Internship

Source details

View original posting ↗

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Pay

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Location & working pattern

Shanghai

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Work authorization

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Open source at jobs.lever.co ↗Read the full description ↓

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