Customer Data Analyst (Fixed Term: Nov 2025 - Apr 2026)

You are excited by the idea of providing buyers with visibility into the suppliers they do business with, and you are passionate about using data to help enable procurement transformation.  You will be the go-to person when it comes to troubleshooting data problems resulting from customer data loads, explaining how the data was created, searching for insights and generally being a data subject matter expert.

This contract is for an approximately 6-month period, between November 2025 and April 2026.

- Ensure customer data quality control processes are scalable 

- Identify opportunities to improve aspects of data processing internally 

- Provide visibility into customer data processing pipeline including turnaround times, process effectiveness and potential improvements

- Load and troubleshoot issues with data uploads 

- Use tools (e.g. Excel, Looker, Python) to review data accuracy and proper formatting

- Chase down data quality issues to find root cause

- Quickly diagnose answers to data related questions

- Track data lineage and confirming audibility

- Strengthen the data literacy and knowledge of our data product 

- Provide input to data dictionary and confirming governance is being followed 

-Research publicly available reputable sources for the identified top attributes

- Inform and influence internal stakeholders around data governance processes and work with the Customer Success team to ensure customer data expectations are met as it relates to our data

- Contribute to the definition of quality metrics for attributes

- Find and evaluating new data sources for their potential use and benefit

- Derive valuable insights from data sources

- Research and verify company information via databases and Internet research

- Keep strict confidentiality with customer account information.

- Run and test new crowdsourcing projects on APPEN

- Understand the basics of supplier diversity reporting and sustainability reporting

- Understand diversity rules including self-certification criteria

- Audit diversity data reports and consolidated data reports

- Identify bad data and follow control processes to fix it based on audit results

- Deliver internal and external presentations, working closely with product and technical teams to bring enhancements to life 

- Work closely with Customer Success Managers to ensure that customer data (vendor master and spend data) is quality checked before it is put back in front of the customer (across all the insights pages in the tool) 

- Leverage internal data (Salesforce, ChurnZero) in conjunction with TealBook data to derive trends and insights

- Monitor adoption and usage trends, work closely with CSMs, Product and Designers to address adoption blockers and ensure customer success 

- Identify opportunities and work with CSMs to expand product adoption across their customers’ organizations, building champions every step of the way 

- Monitor engagement and trigger alerts when adoption is low or declining  

- Summarize data requirements, uses and issues clearly and concisely for internal and external communication 

- Perform data and platform testing against requirements defined 

- Improve data and reporting integrity, as well as identifying potential new insights

- Must have excellent knowledge of SQL + data analytics / visualization tools

- Must have experience with analyzing/managing Enterprise Data

- Experience with BigQuery and ETL concepts is an asset

- Must be exceptionally organized with a research and audibility mindset

- Track record as a proven Data Analyst and solid spreadsheet skills (including formula building)

- Have a proficient understanding of best practices in data management

- Ability to bridge understanding of customer goals and how data can be used to support tracking progress toward goals

- Experience with requirements gathering, steward of data

- Strong ability to collaborate within a remote working environment

Nice to haves:

- Supply chain/procurement domain experience an asset

- Experience with Design thinking is an asset

You are excited by the idea of providing buyers with visibility into the suppliers they do business with, and you are passionate about using data to help enable procurement transformation.  You will be the go-to person when it comes to troubleshooting data problems resulting from customer data loads, explaining how the data was created, searching for insights and generally being a data subject matter expert.

This contract is for an approximately 6-month period, between November 2025 and April 2026.

- Ensure customer data quality control processes are scalable 

- Identify opportunities to improve aspects of data processing internally 

- Provide visibility into customer data processing pipeline including turnaround times, process effectiveness and potential improvements

- Load and troubleshoot issues with data uploads 

- Use tools (e.g. Excel, Looker, Python) to review data accuracy and proper formatting

- Chase down data quality issues to find root cause

- Quickly diagnose answers to data related questions

- Track data lineage and confirming audibility

- Strengthen the data literacy and knowledge of our data product 

- Provide input to data dictionary and confirming governance is being followed 

-Research publicly available reputable sources for the identified top attributes

- Inform and influence internal stakeholders around data governance processes and work with the Customer Success team to ensure customer data expectations are met as it relates to our data

- Contribute to the definition of quality metrics for attributes

- Find and evaluating new data sources for their potential use and benefit

- Derive valuable insights from data sources

- Research and verify company information via databases and Internet research

- Keep strict confidentiality with customer account information.

- Run and test new crowdsourcing projects on APPEN

- Understand the basics of supplier diversity reporting and sustainability reporting

- Understand diversity rules including self-certification criteria

- Audit diversity data reports and consolidated data reports

- Identify bad data and follow control processes to fix it based on audit results

- Deliver internal and external presentations, working closely with product and technical teams to bring enhancements to life 

- Work closely with Customer Success Managers to ensure that customer data (vendor master and spend data) is quality checked before it is put back in front of the customer (across all the insights pages in the tool) 

- Leverage internal data (Salesforce, ChurnZero) in conjunction with TealBook data to derive trends and insights

- Monitor adoption and usage trends, work closely with CSMs, Product and Designers to address adoption blockers and ensure customer success 

- Identify opportunities and work with CSMs to expand product adoption across their customers’ organizations, building champions every step of the way 

- Monitor engagement and trigger alerts when adoption is low or declining  

- Summarize data requirements, uses and issues clearly and concisely for internal and external communication 

- Perform data and platform testing against requirements defined 

- Improve data and reporting integrity, as well as identifying potential new insights

- Must have excellent knowledge of SQL + data analytics / visualization tools

- Must have experience with analyzing/managing Enterprise Data

- Experience with BigQuery and ETL concepts is an asset

- Must be exceptionally organized with a research and audibility mindset

- Track record as a proven Data Analyst and solid spreadsheet skills (including formula building)

- Have a proficient understanding of best practices in data management

- Ability to bridge understanding of customer goals and how data can be used to support tracking progress toward goals

- Experience with requirements gathering, steward of data

- Strong ability to collaborate within a remote working environment

Nice to haves:

- Supply chain/procurement domain experience an asset

- Experience with Design thinking is an asset

TealBook provides an AI-powered supplier data platform designed for the scale and complexity of enterprise procurement. By structuring supplier information at the legal entity level and enriching it with data from verified business registries, TealBook helps organizations eliminate duplication, enhance visibility, and make more informed decisions across sourcing, compliance, and risk. Its platform supports leading procurement systems like SAP, Coupa, and Oracle ERP, helping teams get more from their existing tools through more reliable supplier data.

- Remote-first team across Canada - work from where you thrive (and have work authorization)

- 💸 Competitive salary, equity (options), and benefits from day one (health, dental, vision, and more)

- 🌴 Uncapped PTO, plus a paid winter break (we call it TealWeek) every December (*typically between Christmas - New Years)

Our commitment to you: We occasionally use AI-powered tools within our applicant tracking system (ATS) to help screen and manage applications more efficiently. These tools help us focus on relevant skills and experience - but final decisions are always made by real people. We do not share or feed your application data into public large language models (LLMs) .

Our expectations of you: We value smart use of tools - including AI. If you use AI to help craft your application, that’s fine by us. What matters most is that your application reflects you - your real experience, thinking, and voice. Please be specific and honest. We expect live interviews to be completed by you and without live AI interview coaching. In skills assessments, we’ll tell you if AI tools are allowed, and we’ll care just as much about how you use them. Misrepresentation at any stage will remove you from consideration for current and future roles

TealBook strives to be a respectful, caring, and inclusive workplace. We are committed to championing accessibility and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process, provided the applicant has met the position requirements. Applicants need to make their requirements known when contacted for an interview.