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Day 7
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From 1,409 similar postings that came down. Coming down is not always a hire.
Work setup in the employer’s posting: hybridFrom the employer’s posting
Job title: Junior Analytics Engineer
Build and maintain data models, reports and dashboards in BigQuery and Looker
Extract and transform raw datasets into structured formats using BigQuery, dbt and Python
Apply statistical and analytical techniques to find insights in large datasets
Find and fix data issues to keep analytical outputs reliable and accurate
Explain complex findings to both technical and non-technical stakeholders
Build and maintain data models, reports and dashboards in BigQuery and Looker
Leverage your proficiency in tools such as BigQuery, dbt and Python to efficiently extract and transform raw datasets into structured and usable formats
Apply advanced statistical and analytical techniques to extract meaningful insights from large datasets
Proactively identify and resolve data-related issues, ensuring the reliability and integrity of analytical outputs
Communicate complex findings in a clear and understandable manner to both technical and non-technical stakeholders
Proficiency in SQL (SQL Server, BigQuery, or similar);
25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years service;
Experience using data visualization tools (Looker, PowerBI, Tableau, or similar);
Knowledge of statistical programming languages like Python and/or R is a nice to have;
Ability to work autonomously in solving complex technical problems;
Excellent communication skills with the ability to convey technical concepts to a non-technical audience;
WHO YOU ARE - A bachelor's degree and a minimum of two years of relevant experience are required. Equivalent combinations of education and experience will be considered; - Proficiency in SQL (SQL Server, BigQuery, or similar);
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Tackle complex data problems with a variety of tools and implement innovative and scalable solutions; - Leverage your proficiency in tools such as BigQuery, dbt and Python to efficiently extract and transform raw datasets into structured and usable formats; - Build and maintain data models, reports and dashboards in BigQuery and Looker to provide stakeholders with relevant and timely information;
- Experience using data visualization tools (Looker, PowerBI, Tableau, or similar); - Knowledge of statistical programming languages like Python and/or R is a nice to have; - Ability to work autonomously in solving complex technical problems;
- A bachelor's degree and a minimum of two years of relevant experience are required. Equivalent combinations of education and experience will be considered; - Proficiency in SQL (SQL Server, BigQuery, or similar); - Experience using data visualization tools (Looker, PowerBI, Tableau, or similar);
- Leverage your proficiency in tools such as BigQuery, dbt and Python to efficiently extract and transform raw datasets into structured and usable formats; - Build and maintain data models, reports and dashboards in BigQuery and Looker to provide stakeholders with relevant and timely information; - Apply advanced statistical and analytical techniques to extract meaningful insights from large datasets;
- Proficiency in SQL (SQL Server, BigQuery, or similar); - Experience using data visualization tools (Looker, PowerBI, Tableau, or similar); - Knowledge of statistical programming languages like Python and/or R is a nice to have;
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Reporting to the Data & Analytics Manager, you’ll help solve complex data challenges and work with a wide range of tools to build accurate, scalable and innovative data solutions. With your analytical expertise and strong problem solving skills you’ll help the FintechOps department make better decisions with data!
Tackle complex data problems with a variety of tools and implement innovative and scalable solutions;
Leverage your proficiency in tools such as BigQuery, dbt and Python to efficiently extract and transform raw datasets into structured and usable formats;
Build and maintain data models, reports and dashboards in BigQuery and Looker to provide stakeholders with relevant and timely information;
Apply advanced statistical and analytical techniques to extract meaningful insights from large datasets;
Proactively identify and resolve data-related issues, ensuring the reliability and integrity of analytical outputs;
Collaborate with cross-functional teams to understand business requirements and to implement data-driven solutions;
Communicate complex findings in a clear and understandable manner to both technical and non-technical stakeholders.
A bachelor's degree and a minimum of two years of relevant experience are required. Equivalent combinations of education and experience will be considered;
Proficiency in SQL (SQL Server, BigQuery, or similar);
Experience using data visualization tools (Looker, PowerBI, Tableau, or similar);
Knowledge of statistical programming languages like Python and/or R is a nice to have;
Ability to work autonomously in solving complex technical problems;
Detail-oriented with a focus on data accuracy and quality;
Excellent communication skills with the ability to convey technical concepts to a non-technical audience;
Advanced in English, both written and oral.
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Porto
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.