A data analyst collects, cleans and analyses business data to answer questions such as how sales, costs or customers are changing and why, and presents the answers in reports and dashboards that help managers track performance and make decisions.
Hire data analysts who turn raw data into clear answers. Our analysts clean and model data, build dashboards in Power BI or Tableau, run statistical analysis and present insights that help management make faster, better decisions.
Every one of our data analysts is technically vetted, communicates clearly in English and works with sufficient time-zone overlap for daily collaboration. Choose full-time, part-time or hourly engagement, start quickly and scale your team as your roadmap evolves.
Skills our data analysts bring to your team from day one.
Share your requirements, review hand-picked profiles, interview the candidates you like and onboard within days. Your developer works as part of your team, using your tools and processes, while we take care of HR, infrastructure, security and replacements.
Engagement models: Full-time dedicated (around 160 hours per month), part-time (around 80 hours per month) and hourly or project-based arrangements.
Our data analysts are skilled in SQL, Excel and Power Query, Power BI and Tableau, and often Python or R for deeper analysis. They work with data from CRMs, ERPs, Google Analytics, e-commerce platforms and databases, and can use Microsoft Fabric or other cloud warehouses where they exist.
Billing is monthly, and you can add people or reduce hours with reasonable notice as your needs change. For predictive modelling, consider a data scientist; for complex Power BI work, a Power BI developer. For analysis delivered as a subscription, see data insights as a service.
Ready to hire data analysts? Tell us about your data and reporting needs, and we will share suitable analysts. Share your requirements.
Common questions about hiring data analysts through Prominent AI Services LLP.
Yes. Our analysts work with Excel, SQL databases, Power BI, Tableau, Google Analytics and common CRM and ERP data.
Yes. They automate recurring reports and dashboards so updated insights are always available.
Yes. You can add resources or reduce hours with reasonable notice as your project needs change.
Rates depend on experience and engagement model. Part-time engagements are a cost-effective option when reporting needs are steady but do not require a full-time person.
A data analyst focuses on understanding the business and answering questions with data. A Power BI developer specialises in building data models and dashboards in Power BI. Many projects benefit from both skills.
Yes. They can rebuild manual Excel reports using Power Query, Power BI or scheduled SQL so the data refreshes automatically.
They need read access to the data used for reporting. Access can be limited to specific databases, exports or reports in line with your security policies.
