Were looking for an experienced and highly motivated Junior Data Analyst for one of our clients a global data analytics and market intelligence company. and nbsp;
The Junior Data Analyst will work alongside senior analysts and engineers across the full BI lifecycle from supporting data pipeline quality checks to building and maintaining dashboards in Looker to helping commercial and operational stakeholders make sense of their data. There is no fixed lane: you will be exposed to the breadth of what a modern BI team does in a fast-moving B2B SaaS environment giving you the foundations to develop into a well-rounded data professional.
Responsibilities:
- Assist in building and maintaining dashboards and reports in Looker ensuring they are accurate up to date and easy to interpret by non-technical and nbsp;stakeholders.
- Support senior analysts in translating business questions into SQL queries and data models progressively taking on more ownership as your skills grow.
- Help maintain and document the LookML codebase including updating fields and flagging inconsistencies.
- Run data quality checks across key datasets and flag anomalies or discrepancies to the team.
- Contribute to the teams data dictionary and technical documentation ensuring definitions are clear consistent and accessible to all stakeholders.
- Support testing and validation of new data pipelines and transformations before they go to production.
- Engage with internal stakeholders (commercial finance operations) to understand their reporting needs and communicate progress clearly.
- Help prepare data-driven summaries and ad-hoc analyses to support business decisions.
- Act as a bridge between the BI team and less data-literate audiences helping them interpret and use data confidently.
- Actively participate in team rituals standups code reviews retrospectives and bring a collaborative solutions-oriented mindset.
- Proactively seek feedback and apply it; treat every task as a learning opportunity.
- Collaborate across Sales Customer Success Marketing Product Finance RevOps and SalesOps functions
Requirements:
- 1-2 years of experience in a data-related role or internship (BI data analysis data science or similar).
- Working knowledge of SQL. You can write queries filter aggregate and join tables. Youre not expected to be an expert but youre comfortable enough to learn fast.
- Exposure to a BI or data visualisation tool (Looker Tableau Power BI or similar)
- Familiarity with spreadsheets (Excel or Google Sheets) and a general comfort with data manipulation.
Benefits:
- Competitive salary
- Opportunity to be part of a fast-growing company with a strong global presence
- Home-office
- Supportive diverse and professional work environment
- Opportunities for professional development and career growth
- Exposure to international projects and cross-functional collaboration
- Stable company background with long-term career prospects
- Dynamic and collaborative team culture.
Were looking for an experienced and highly motivated Junior Data Analyst for one of our clients a global data analytics and market intelligence company. and nbsp;The Junior Data Analyst will work alongside senior analysts and engineers across the full BI lifecycle from supporting data pipeline quali...
Were looking for an experienced and highly motivated Junior Data Analyst for one of our clients a global data analytics and market intelligence company. and nbsp;
The Junior Data Analyst will work alongside senior analysts and engineers across the full BI lifecycle from supporting data pipeline quality checks to building and maintaining dashboards in Looker to helping commercial and operational stakeholders make sense of their data. There is no fixed lane: you will be exposed to the breadth of what a modern BI team does in a fast-moving B2B SaaS environment giving you the foundations to develop into a well-rounded data professional.
Responsibilities:
- Assist in building and maintaining dashboards and reports in Looker ensuring they are accurate up to date and easy to interpret by non-technical and nbsp;stakeholders.
- Support senior analysts in translating business questions into SQL queries and data models progressively taking on more ownership as your skills grow.
- Help maintain and document the LookML codebase including updating fields and flagging inconsistencies.
- Run data quality checks across key datasets and flag anomalies or discrepancies to the team.
- Contribute to the teams data dictionary and technical documentation ensuring definitions are clear consistent and accessible to all stakeholders.
- Support testing and validation of new data pipelines and transformations before they go to production.
- Engage with internal stakeholders (commercial finance operations) to understand their reporting needs and communicate progress clearly.
- Help prepare data-driven summaries and ad-hoc analyses to support business decisions.
- Act as a bridge between the BI team and less data-literate audiences helping them interpret and use data confidently.
- Actively participate in team rituals standups code reviews retrospectives and bring a collaborative solutions-oriented mindset.
- Proactively seek feedback and apply it; treat every task as a learning opportunity.
- Collaborate across Sales Customer Success Marketing Product Finance RevOps and SalesOps functions
Requirements:
- 1-2 years of experience in a data-related role or internship (BI data analysis data science or similar).
- Working knowledge of SQL. You can write queries filter aggregate and join tables. Youre not expected to be an expert but youre comfortable enough to learn fast.
- Exposure to a BI or data visualisation tool (Looker Tableau Power BI or similar)
- Familiarity with spreadsheets (Excel or Google Sheets) and a general comfort with data manipulation.
Benefits:
- Competitive salary
- Opportunity to be part of a fast-growing company with a strong global presence
- Home-office
- Supportive diverse and professional work environment
- Opportunities for professional development and career growth
- Exposure to international projects and cross-functional collaboration
- Stable company background with long-term career prospects
- Dynamic and collaborative team culture.
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