doola - Data Analyst

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Data Analyst

Have you worked in SaaS or subscription-based businesses before?✱
- Yes
- No
How many years of experience do you have in a data analytics or product analytics role?✱
- 0–1 years
- 1–2 years
- 2–3 years
- 3–5 years
- 5+ years
How would you rate your SQL experience for data analysis?✱
- I mentor others in SQL, design schemas, and manage large-scale queries in production environments.
- I regularly write queries with joins, aggregations, and filters, and occasionally seek support for more complex cases.
- I mostly use SQL for simple lookups or ad-hoc queries, often relying on templates or AI assistance.
- I typically rely on other tools (e.g., BI platforms, Excel/Sheets, or Python) instead of SQL for analysis.
- I design complex queries, optimize performance, and create reusable data models to support stakeholders.
How would you describe your experience using Python for analytics?✱
- I haven’t used Python much yet, but I’m open to learning if required.
- I independently build workflows and models using Python, automating processes, analyzing datasets, and using libraries like Pandas, NumPy, or scikit-learn.
- I’ve created reusable solutions and streamlined analysis workflows, contributing frameworks or scripts that improve team efficiency and mentoring others when needed.
- I use Python for cleaning, transforming, and visualizing data, sometimes collaborating with peers for more complex work.
- I primarily rely on AI-assisted tools, templates, or prebuilt scripts for Python-related tasks.
Which statement best describes your involvement with A/B testing?✱
- I understand the concept but haven’t applied it directly, though I’m open to learning if required.
- I've designed and run A/B tests end-to-end, from setting hypotheses to validating statistical significance and sharing results.
- I’ve analyzed or interpreted A/B test results, using pre-designed experiments to inform recommendations.
Which statement best matches your experience presenting analytical insights?✱
- I regularly present findings, tailoring messages to technical and non-technical audiences to drive alignment.
- I occasionally present findings, usually when asked, while contributing most of my work behind the scenes.
- I prepare analysis reports but rarely present them myself, allowing others to communicate results.
How comfortable are you turning vague business questions into actionable analysis?✱
- I proactively define frameworks and reusable models, helping teams consistently turn business needs into data-driven insights.
- I can work independently on moderately complex asks, producing reports and metrics when goals are clear.
- I prefer clear instructions, needing defined requirements to deliver effectively.
- I clarify ambiguous requests, defining success metrics and crafting queries or dashboards to answer key questions.
When priorities shift, how do you usually respond?✱
- I thrive in dynamic environments, switching focus quickly and staying productive under shifting priorities.
- I can adapt to changes when given context and clarity, adjusting as needed.
- I prefer focusing on a single project, finding frequent pivots challenging.
How do you typically ensure accuracy in your work?✱
- I focus on speed and efficiency first, and I tend to review my work only if time allows.
- I usually spot-check for obvious inconsistencies, catching most issues but not going too deep unless required.
- I review my work carefully before sharing, validating data points, calculations, and assumptions to avoid errors.
- I build quality checks into my workflow, using peer reviews, automated validations, or reconciliation steps to minimize risks.
How do you handle incomplete, inconsistent, or messy datasets?✱
- I prefer working with clean, well-structured data, and I usually flag issues for others to address.I prefer working with clean, well-structured data, and I usually flag issues for others to address.
- I investigate data issues proactively, tracing inconsistencies back to the source and proposing fixes that improve data quality long term.
- I’m comfortable cleaning and transforming raw data, using tools and techniques to make it usable for analysis.
- I can handle messy data when needed, but I might seek support to fill gaps or clarify edge cases.
Which statement best reflects how you approach projects?✱
- I look for opportunities to improve outcomes, influencing decisions, anticipating blockers, and proactively steering projects toward impact.
- I take end-to-end ownership when needed, managing scope, timelines, stakeholders, and deliverables independently.
- I’m comfortable owning portions of a larger project, coordinating with others to ensure smooth handoffs and collective success.
- I focus on delivering what’s asked of me, working on clearly scoped tasks with minimal deviation.

Salary expectations

What are your annual/yearly salary expectations in US Dollars? (Note that not providing a range will result in disqualification)✱

Data Analyst

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Data Analyst

Salary expectations

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