Data Analyst
Atlas Financial Services · Dublin, Ireland
- Salary
- €55K – €70K/yr
- Job type
- Full-time
- Level
- Mid level
- Location type
- Hybrid
This role is hosted on Indeed. The Apply button opens the employer's own application page there — CareerHub does not collect your application for this listing. You can also send an application through CareerHub using the form below.
What this role actually involves
CareerHub analysis
Atlas Financial Services is hiring a Data Analyst on a full-time basis in Dublin, Ireland. The role is hybrid and pitched at mid level, so the hiring team will expect working familiarity with SQL, Excel and Data Analysis rather than classroom exposure. There are 5 core responsibilities attached to the position; the first two are usually what the interview actually focuses on. Atlas Financial Services operates in financial services, which shapes both the pace of the work and the kind of examples that land well in an interview.
About the job
Support the advisory practice with analysis that partners rely on in client conversations — from margin analysis to cash flow modelling for owner-managed businesses.
Responsibilities
- Build and maintain the reporting used by the advisory practice
- Produce client-facing analysis with clearly stated assumptions and caveats
- Automate recurring reporting that is currently rebuilt manually each month
- Work with the audit team to improve data quality at source
- Present findings to partners and, occasionally, to clients
Requirements
- Three years in an analytical role, ideally in professional services or financial services
- Strong SQL, including joins and window functions
- Advanced Excel modelling
- Ability to explain an analysis to someone who will act on it
- Degree in a numerate discipline or an equivalent qualification
Benefits
- Hybrid working, two days in office
- Funded professional qualifications
- 8% employer pension
- Annual bonus
Minimum education: Bachelor's degree
The skills that will be tested, explained
Written by our editorial team, not taken from the listing.
SQL
On the job: Getting the right rows out of a database efficiently — joins, aggregation, and reading a query plan when something is slow.
How it is assessed: Almost always a live query exercise. Interviewers care about correctness first, then whether you notice the missing index.
On your CV: Describe the data volume you worked with. "Queries over a 200M row events table" tells a hiring manager more than "strong SQL".
Excel
On the job: Modelling, cleaning and summarising data quickly — lookups, pivot tables, and building a sheet someone else can maintain.
How it is assessed: A timed modelling test is common in finance and operations roles.
On your CV: Say what the model was used for and who used it.
Data analysis
On the job: Framing a question, finding the data that answers it, and being clear about how confident the answer is.
How it is assessed: A case study with a dataset. Interviewers look at the questions you ask before you start.
On your CV: Describe a decision your analysis changed.
Communication
On the job: Explaining a decision to someone who does not share your context, writing updates people actually read, and asking questions early instead of guessing.
How it is assessed: The whole interview is the assessment. Structure matters more than polish.
On your CV: Point to artefacts: documentation you own, a proposal you wrote that changed a decision.
Python
On the job: Readable, maintainable code for automation, data work or backend services — and knowing which libraries are worth pulling in.
How it is assessed: Data manipulation problems, script writing, and questions about testing and packaging.
On your CV: Link the language to a result: a pipeline you automated, hours of manual work you removed.
Salary insight
This role advertises €55K – €70K/yr. For a mid level position in Dublin, Ireland, treat the top of the band as achievable only if you match nearly every requirement listed. If you are asked for expectations first, give a range whose bottom you would genuinely accept, and confirm what sits alongside base pay — bonus, pension, leave, and any allowance for commuting.
Where this role leads
- 1Senior Data Analyst — depth in one area plus reliable delivery
- 2Lead Data Analyst or Data Analyst Manager — the branch point between people and craft
- 3Head of Financial Services function — three to six years out
How to apply for this role well
Tailoring your CV
- Put SQL, Excel, Data Analysis in the top third of page one. Most screens for a Data Analyst take under a minute, and recruiters read top-down.
- Mirror the language of the listing where it is honest to do so. If the advert says "SQL", write "SQL" — not a synonym an applicant tracking system will miss.
- Lead each bullet with a verb and close it with a number. "Managed reporting" is invisible; "Rebuilt weekly reporting for 12 branches, cutting prep time from 6 hours to 40 minutes" is not.
- The listing puts "Build and maintain the reporting used by the advisory practice" first, which usually signals the day-one priority. Make sure one bullet on your CV maps directly to it.
- Keep it to two pages and export as PDF so your layout survives.
Your cover letter
- Open with the specific role and where you saw it: "I am applying for the Data Analyst role at Atlas Financial Services." No suspense, no throat-clearing.
- Paragraph two is the one that matters. Take a single requirement from the listing and give a concrete example of doing it, with the outcome.
- Show that you know something about Atlas Financial Services beyond its homepage — a product decision, a market they operate in, a recent change in financial services.
- Close with availability and a clear next step. Three to four short paragraphs, under 300 words, in the body of the email if you are applying by email.
- Never send the same letter twice. Reviewers can tell, and a generic letter is worse than none.
Before you hit send
- A CV tailored to this listing, saved as PDF with your name in the filename.
- A short cover note that names the role and one relevant result.
- Proof of the stated qualification, ready to send if requested.
- Two referees who have agreed in advance to be contacted.
- An account on Indeed — the employer takes applications there.
Interview preparation
- Prepare a two-minute answer to "why this role at Atlas Financial Services?" that references the company's work in financial services.
- Have three STAR stories ready — situation, task, action, result — that cover SQL and Excel.
- On SQL: Almost always a live query exercise. Interviewers care about correctness first, then whether you notice the missing index.
- Expect at least one question about working hybrid, especially how you keep work visible to people who cannot see your screen.
- Prepare two questions of your own. Good ones: what does success look like in the first 90 days, and what does the team find hardest right now?
Industry context
Atlas Financial Services works in Financial Services. As a 600 employees organisation, that affects how the Data Analyst role is scoped: smaller teams tend to want breadth and a bias to action, larger ones want depth and evidence that you can work across functions. Candidates who research the sector — its customers, its regulation, its current pressures — interview noticeably better than those who research only the company.
Atlas Financial Services provides audit, tax and advisory work for owner-managed businesses across Ireland and the UK. It is a training-heavy firm: study leave and exam fees are funded for accounting qualifications, and a large share of the senior team qualified there.
Frequently asked questions
Is the Data Analyst role at Atlas Financial Services remote?
Partly. It is a hybrid role based in Dublin, Ireland, so expect a mix of office and home days. Ask how many days on site are expected each week.
What salary does this role pay?
The advertised range is €55K – €70K/yr. Total package may also include bonus, pension and leave, so ask for the full breakdown at screening stage.
How do I apply?
This listing is hosted on Indeed. The Apply button sends you to the employer's own application page there. You can also save the job here and track it from your dashboard.
How long does a response usually take?
Two to three weeks is typical. If you have heard nothing after ten working days, a short, polite follow-up to the recruiter is appropriate and will not count against you.
What experience level is required?
Mid level. If you meet roughly 70% of the requirements it is still worth applying — very few candidates match every line of a job advert.
Apply for this job
Your CV and details go to Atlas Financial Services. It takes a couple of minutes.
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Listing last updated August 15, 2026. The analysis, skills breakdown, salary insight and interview guidance on this page were written by the CareerHub editorial team and are independent of the employer. Always verify pay and conditions with the employer before accepting an offer.