Description review
Data Analyst
Brighty App · Remote · back to the listing
HR standards
74/100
solid
Title ↔ description
96/100
strong
Reads as
Data Analyst
100% confident
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
Large employers
- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
What the listing never says
- 20 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About Brighty App
At Brighty, we're redefining traditional finance and unlocking the full potential of the emerging crypto-economy. We combine security, innovation, and transparency to help users manage, save, and grow their money — all within one seamless app experience.
The Role
As a Data Analyst at Brighty, you will play a key role in transforming data into actionable insights that drive business and product decisions. You’ll work closely with Product, Marketing, and Finance teams to uncover trends, monitor KPIs, and optimize user experience in our fast-evolving fintech and digital asset ecosystem.
Your Responsibilities Will Include:
• Collecting, analyzing, and interpreting data from multiple sources (app, CRM, marketing platforms, financial systems)
• Writing and optimizing MySQL and PostgreSQL queries to extract, clean, and manipulate large datasets
• Working with BigQuery for large-scale data analysis and cloud-based data warehousing
• Building and maintaining dashboards and reports in Metabase to visualize key metrics and support decision-making
• Conducting cohort analysis, user segmentation, and retention studies
• Supporting A/B testing and growth experiments with statistical insights
• Working closely with Product and Engineering teams to define data-tracking requirements and ensure data accuracy
• Presenting findings and recommendations to stakeholders in a clear, structured way
We're Looking For Someone With:
• University degree in Mathematics, Statistics, Economics, Computer Science, or a related field
• 2+ years of experience as a Data Analyst (fintech or product analytics experience preferred)
• Strong proficiency in SQL / MySQL
• Experience with data visualization tools (e.g. Metabase, Power BI, Tableau, Looker)
• Understanding of statistical methods, A/B testing, and data modeling
• Analytical mindset, attention to detail, and strong communication skills
• Fluency in English (written and spoken)
Why Join Us?
• Freedom to Innovate: Shape how data drives business decisions
• Flexible Work: Remote or hybrid setup
• 30 Vacation Days: Because rest matters
• Cool Team: Supportive and fun culture (pets included 🐾)
• Equity Participation: Share in our success through our Stock Option Program
Salary Range: from €2,500 gross/month, depending on experience.
Originally posted on Himalayas
At Brighty, we're redefining traditional finance and unlocking the full potential of the emerging crypto-economy. We combine security, innovation, and transparency to help users manage, save, and grow their money — all within one seamless app experience.
The Role
As a Data Analyst at Brighty, you will play a key role in transforming data into actionable insights that drive business and product decisions. You’ll work closely with Product, Marketing, and Finance teams to uncover trends, monitor KPIs, and optimize user experience in our fast-evolving fintech and digital asset ecosystem.
Your Responsibilities Will Include:
• Collecting, analyzing, and interpreting data from multiple sources (app, CRM, marketing platforms, financial systems)
• Writing and optimizing MySQL and PostgreSQL queries to extract, clean, and manipulate large datasets
• Working with BigQuery for large-scale data analysis and cloud-based data warehousing
• Building and maintaining dashboards and reports in Metabase to visualize key metrics and support decision-making
• Conducting cohort analysis, user segmentation, and retention studies
• Supporting A/B testing and growth experiments with statistical insights
• Working closely with Product and Engineering teams to define data-tracking requirements and ensure data accuracy
• Presenting findings and recommendations to stakeholders in a clear, structured way
We're Looking For Someone With:
• University degree in Mathematics, Statistics, Economics, Computer Science, or a related field
• 2+ years of experience as a Data Analyst (fintech or product analytics experience preferred)
• Strong proficiency in SQL / MySQL
• Experience with data visualization tools (e.g. Metabase, Power BI, Tableau, Looker)
• Understanding of statistical methods, A/B testing, and data modeling
• Analytical mindset, attention to detail, and strong communication skills
• Fluency in English (written and spoken)
Why Join Us?
• Freedom to Innovate: Shape how data drives business decisions
• Flexible Work: Remote or hybrid setup
• 30 Vacation Days: Because rest matters
• Cool Team: Supportive and fun culture (pets included 🐾)
• Equity Participation: Share in our success through our Stock Option Program
Salary Range: from €2,500 gross/month, depending on experience.
Originally posted on Himalayas