Time since we first saw it
Day 142
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From 14,545 similar postings that came down. Coming down is not always a hire.
Define measurement frameworks and metrics with product and engineering teams
Build and maintain data pipelines, dashboards, and reports
Analyse product, behavioural, and model data to surface actionable insights
Support experiment design and A/B test analysis
Ensure data quality and consistency across sources
Define measurement frameworks and metrics with product and engineering teams.
Build and maintain data pipelines, dashboards, and reports.
Analyse product, behavioural, and model data to surface actionable insights.
Support experiment design and A/B test analysis.
Ensure data quality and consistency across sources.
3+ years’ experience in data analytics or a similar quantitative role.
Strong SQL and proficiency in Python or R for analysis.
Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar).
Solid grasp of statistics and experiment design.
Clear communication of findings to technical and non-technical audiences.
Education: - Bachelor’s degree or higher in Statistics, Computer Science, Engineering, Economics, or a related quantitative field — or equivalent practical experience. Responsibilities:
From the employer’s posting.
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
In the employer’s words · Read in context
Open 4 monthsWe first saw this posting 142 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 142
Up longer than most. Similar jobs usually come down between day 5 and day 43.
From 14,545 similar postings that came down. Coming down is not always a hire.
3 open jobs
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- 3+ years’ experience in data analytics or a similar quantitative role. - Strong SQL and proficiency in Python or R for analysis. - Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar).
Nice to Have (Not Obligatory): - Experience with cloud data warehouses (BigQuery, Snowflake, Redshift). - Familiarity with ML workflows and model evaluation metrics.
- Strong SQL and proficiency in Python or R for analysis. - Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar). - Solid grasp of statistics and experiment design.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Owns the end-to-end data analytics lifecycle, from defining measurement frameworks and surfacing insights to supporting product and model decisions. The role works closely with engineering, product, and ML teams, builds and maintains data pipelines and dashboards, and helps shape the analytical foundation of the AI software development project. Requires 3+ years of data analytics experience, with a track record of influencing product outcomes in a fast-moving technical environment.
Turn raw product, behavioural, and model data into clear, trustworthy insight that helps the team make better decisions, faster.
Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
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No pay amount identified in the saved description.
Singapore
- 🌴 Paid leave - 🧑💻 Remote work in locations without our offices - Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
No clear work-authorization passage found. Eligibility is unconfirmed.