About Us
Textile Exchange is a global non-profit driving positive impact on climate change across the fashion and textile industry. It guides a growing community of brands, manufacturers, and farmers towards more purposeful production from the very start of the supply chain.
By 2030, its goal is to guide the industry to achieve a 45% reduction in greenhouse gas emissions within fiber and raw material production. Its focus is holistic and interconnected, accelerating the adoption of practices that improve the state of our water, soil health, and biodiversity too.
For real change to happen, everyone needs a clear path to positive impact. That’s why Textile Exchange believes that approachable, step-by-step instruction paired with collective action can change the system to make preferred materials and fibers an accessible default, mobilizing leaders through attainable strategies, proven solutions, and a driven community.
At Textile Exchange, materials matter. To learn more, visit TextileExchange.org.
Working at Textile Exchange
We work remotely with a team located in 20+ countries. We are a diverse group committed to harnessing the strengths of the global textile industry to accelerate change toward climate and other key environmental goals.
We work collaboratively on important environmental issues around the world by working and interacting with farming groups, processors, brands, retailers, and environmental experts in the textile and fashion industries around the world. We offer an opportunity to join a cutting-edge global environmental nonprofit and to help strengthen the impact of our organization.
Each Textile Exchange employee is offered a competitive compensation package with paid time off, a yearly bonus, opportunities for continuing education, and more.
Like all roles at Textile Exchange, this role will be primarily home-based; Textile Exchange is a US-based but remote-working organization with a global team. Your key colleague will be mainly based in the US, Malaysia and Europe.
Job Summary
The Senior Data Analyst will support the Data Analytics Team to ensure the accuracy, integrity, and consistency of collected data through verification and reconciliation processes. They will query, transform, model and aggregate data to provide key figures and impactful data visualizations.
The ideal candidate must have experience using advanced programming, modelling and statistical skills. They should be proactive, flexible, competent and responsible in overseeing all the tasks and activities within their area of responsibility
Duties and Responsibilities
- Design and write SQL scripts, queries, and stored procedures to extract and manipulate data.
- Connect to data sources and perform data transformations, modelling, and visualization of data using Microsoft Power BI.
- Conduct rigorous data checks and reconciliations to identify anomalies, inaccuracies, inconsistencies, and errors in datasets.
- Communicate and collaborate with internal and external stakeholders to resolve data issues and improve data completeness and accuracy.
- Develop and implement data quality control measures and procedures.
- Continuously identify, communicate, and propose areas for improving data management, integrity, and reporting.
- Interpret data, analyze results, generate insights, and prepare reports.
- Design, implement, test and de-bug data models and dashboards.
- Constantly seek to improve data models for accuracy, efficiency, and effectiveness.
- Carry out data mapping between different datasets.
- Work cross functionally with other teams to gather data and prepare required output.
- Support other ad-hoc projects and tool developments as required.
- Provide guidance and mentorship to junior analysts.
Minimum Experience and Qualifications
- Bachelor’s Degree or equivalent from a reputable university in a quantitative field such as Data Science, Computer Science, Mathematics, Statistics or related field.
- At least 3 years working experience in a related field, with a focus on data extraction, analysis, data modelling, and statistical analysis.
- Strong understanding of data pipelines including ETL and data lakes with advanced SQL knowledge to extract large and relational datasets on Azure/AWS data platform.
- Experience in developing, maintaining, and updating data visualization tools, such as Power BI, Tableau or similar.
- Synapse and Python skills a plus.
- Strong problem solving and analytical skills – able to break down complex problems to implementable solutions with attention to detail and data integrity.
- Able to quickly learn new systems and work independently in a virtual workplace. Detail-oriented, self-motivated and strong work ethic.
- Comfortable adapting to changes in a fast-paced remote environment.
- Well-organized and able to manage multiple priorities and varying pressures to meet strict deadlines as needed.
- Strong command of spoken and written English.
- Preferred location: Malaysia, Asia, or Europe. Flexible working hours a must due to differences in international time zones.
Employment Package
- Reports to: Data Analytics Senior Manager
- Full Time Position, 40 Hours a Week
- Location: Virtual/Remote
- Salary Range: 52,000 – 74,000 USD
- To be filled as soon as possible (start date to be agreed between both parties).
- Our offers for salary and benefits are dependent on the region of the final candidate. We post most positions based on a US-based Team member, but final offers are made in alignment with the final candidate’s permanent residence and in line with Textile Exchange’s regional employment package.
- To see if we hire in your country and for more information, please visit: https://remote.com/country-explorer
How to Apply
Please apply here with your resume and a cover letter.
Applications will be considered on a rolling basis as they are submitted. Early application submission is strongly encouraged.
If you have any pressing questions after completing your application, and meet the qualifications, please contact recruitment@textileexchange.org.
Textile Exchange is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.