Every company says it makes decisions based on data. Fewer of them actually have someone who can turn a messy dataset into a clear answer before a deadline hits. That's the gap this role fills. We're hiring a remote Data Analyst to sit at the center of that work — pulling signal out of noise and giving teams something solid to act on.
Role Overview
The position sits entirely outside an office — fully remote, paying $100,000 annually. You'll work across departments, translating raw numbers into decisions that actually move the business, rather than sitting in a report nobody opens twice.
What the Work Involves
The scope here is broad by design — this isn't a role where you only ever touch one type of dataset or one kind of question.
- Analyzing large, complex datasets to surface patterns worth acting on
- Building and maintaining dashboards in tools like Tableau, Power BI, or Looker
- Working with teams across the business to figure out what metrics actually matter to them
- Designing and running experiments, including A/B tests, to validate ideas before they scale
- Presenting findings clearly enough that non-technical stakeholders can act on them immediately
- Automating recurring reports so time goes toward analysis instead of repetitive manual work
- Maintaining data pipelines and models that keep analysis accurate and repeatable
- Monitoring data quality and flagging discrepancies before they turn into bad decisions
- Building and updating KPI frameworks tied to real business priorities
- Running statistical analysis and forecasting to support planning conversations
What You'll Need
- Education: Bachelor's degree required
- Experience: At least 3 years working in a data analysis role within a business or tech environment
- Strong hands-on experience with a major visualization platform — Tableau, Power BI, or Looker
- Solid command of SQL for pulling and shaping data directly
- Working proficiency in Python or R for statistical work and scripting
- Comfort with at least one cloud data platform — Snowflake, AWS, or BigQuery
- Practical fluency in Excel or Google Sheets alongside more advanced tools
- Ability to explain a technical finding to someone who has no interest in the technical part
- Enough project management sense to keep multiple analyses moving without dropping deadlines
What Would Set You Apart
- Master's degree in a quantitative field
- Direct experience designing and running A/B tests or other experimentation frameworks
- Working knowledge of business intelligence best practices beyond just building dashboards
- Experience working with CRM data or customer behavior analysis specifically
How the Role Actually Plays Out
Some weeks lean heavily into dashboard work — cleaning up a KPI framework, fixing a data quality issue that's been quietly skewing reports. Other weeks are closer to detective work: a stakeholder notices something odd in conversion numbers, and you're the one figuring out whether it's real or noise. Naukri Mitra structured this listing around that reality rather than a tidy list of daily tasks, because the actual job shifts depending on what the business needs that particular week.
What's In It for You
- Genuinely flexible hours, structured around output rather than a fixed clock-in time
- Paid time off that includes dedicated mental health days, not just standard vacation
- An annual budget toward certifications and professional development courses
- A wellness stipend that can go toward a gym membership, a meditation app, or similar
- A defined path toward senior analyst or analytics lead roles as your track record builds
Who Tends to Do Well in This Seat
The strongest analysts here aren't the ones who just run the requested report and move on. They notice the question behind the question — why a stakeholder is really asking, what decision the number is actually going to inform — and shape their analysis around that instead of just delivering numbers on request. If you'd rather dig one layer deeper than stop at the surface-level ask, this role tends to reward that instinct.
Team and Working Style
You'll work closely with product, marketing, and operations teams, translating their needs into something an analysis can actually answer. Reviews of your work happen collaboratively rather than as a one-way critique, and there's real openness for analysts to push back when a request doesn't quite make sense as framed.
Where This Can Take You
This isn't a role with a ceiling baked in after year one. Analysts who consistently deliver clear, reliable work tend to move toward senior analyst roles, specialized modeling or forecasting work, or analytics leadership over time — the path depends more on where your interests actually pull you than on a fixed track everyone follows.
Location
Candidates based in North America, the UK, mainland Europe, Australia, or India are eligible to apply, as are a few other approved locations.
How to Apply
Send over your resume, and add a short note about one data project you're genuinely proud of — the question you were chasing, what you found, and what actually changed as a result. Shortlisted candidates will complete a brief technical exercise, followed by a conversation with the hiring team.
