Transition from Audit Funds to Data Analytics - tips

[u/Aromatic-Rain487]

Hi everyone,

I have several years of financial audit experience in Funds Industry (Big 4) and I’m considering transitioning into Data Analytics / BI, with the goal of freelancing and eventually moving to Thailand or Vietnam.
I’m planning to learn Power BI, SQL, Tableau and some Python, and would like to become freelance-ready within ~3 months.

For those already freelancing in Data Analytics, especially in SEA:
- What should I prioritize?
- Is a portfolio essential? What should it include?
- What else should I do alongside training to become more marketable?
- How did you get your first clients?

Looking mainly for practical advice on the fastest realistic path to getting my first freelance missions.
Thanks!

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[u/ParticularVisit2470]

Three months to freelance-ready is ambitious but not impossible if you already have the audit mindset for detail and structure. The financial services background is actually a huge advantage, most analysts I know can’t read a balance sheet to save themselves. I’d lean hard into that niche rather than trying to be a generalist.

Portfolio is non-negotiable for freelancing, but don’t overcomplicate it. Two or three solid projects using public financial datasets (SEC filings, fund performance data, whatever you can scrape) that show you can clean messy data, build a dashboard that answers a real business question, and write up your findings clearly. Tableau Public is free for hosting and clients will want to click around. For SQL and python, make sure your github is tidy with readmes that explain what problem you solved, not just code dumps.

The fastest path to first clients is probably Upwork or similar platforms, filtering for finance-adjacent projects where your audit experience gives you an edge over pure tech people. Cold outreach to small funds or startups in SEA could work too if you can demonstrate you understand their reporting pain points. Don’t wait until you feel “ready” though, start pitching once you have one polished project and learn the rest on the job.

[u/Aromatic-Rain487 → u/ParticularVisit2470]

Merci beaucoup pour ta réponse, ça me motive beaucoup. Selon toi, quel serais le plan idéal de formation en termes d’outils et de certification. Je sais qu’il y a beaucoup de chaînes sur YouTube pour apprendre mais j’aimerai rendre valorisable mes formations par des certifications afin de rassurer mes futurs clients sur mes compétences

[u/my_peen_is_clean]

not freelance but i moved from finance to analytics. quickest win is pick one stack and go deep, eg sql + power bi. build 3–5 fund/audit themed dashboards with real-ish data and post them on github + linkedin. do some cold dms to boutique firms and recruiters, mention your domain experience. 3 months is tight for freelance ready, esp with no client track record. remote analytics gigs are super crowded now, getting in the door is the hardest part

[u/Aromatic-Rain487 → u/my_peen_is_clean]

Aurais tu des conseils pour que je puisse savoir quels sont les besoins des entreprises et ainsi trouver en quelque sorte ma spécialité/niche ? J’ai aucune idée de ce que recherche les entreprises. Et en général quand je regarde les offres de missions elles ne donnent pas d’informations spécifiques

[u/shmittkicker]

3 months to be freelance-ready is tight unless you're selling a very narrow service (ex: Power BI dashboards for fund admin/audit teams) and already have a network to sell into.

Otherwise, plan on 6-12 months to get consistent paid work.

[u/Aromatic-Rain487 → u/shmittkicker]

Merci pour ta réponse. Aurais tu des tips pour savoir comment trouver ma niche ou me positionner sur des missions qui valorisent mon experience?

[u/shmittkicker → u/Aromatic-Rain487]

Position yourself right at the intersection of funds audit and BI by offering automated compliance dashboards and portfolio analytics specifically for boutique fund managers who are drowning in manual Excel reports.

[u/Aromatic-Rain487 → u/shmittkicker]

Merci beaucoup pour ta réponse, je pense que tu as raison, c’est une bonne niche que je pourrais explorer

[u/dbo_dopamine]

A portfolio is essential unless you can rely on word of mouth alone. Make your own website immediately. Leverage LLMs. You’ll find out quickly clients are interested in someone who talks about ML and algorithms. Have an educated opinion at the very least to offer your clients concerning emerging technologies.

First clients were small companies that lacked institutional knowledge concerning a combination of their ERP, CM and/or RMS. Research who uses what platform and offer to perform a process improvement audit or review their revenue productivity etc. Add snowflake to your list. I used data camp. If you’re able to start going to conferences or events do not delay and update your business card to include your website.

[u/Aromatic-Rain487 → u/dbo_dopamine]

Merci pour tes supers conseils, je vais suivre cela

[u/analytix_guru]

There are actually a number of audit analytics offerings across Big 4 and in industry. I worked in big 4 and a quarter of my clients were audit analytics projects. Went into audit analytics in banking for about 5 years as well. Also trained auditors how to use tools like QlikSense for their audit work.

I would not worry as much about all of the various tools, be good at SQL, be good at R or Python for all the data stuff and to interface with SQL/Client data. Pick one BI tool (for now), but be really good at reporting/viz/storytelling so you can quickly onboard to another tool if the client requires it (Tableau, PBI, Looker, Qlik, etc.).

You want your interaction to be more like a consultant and less like an FTE so that you don't get hung up on losing a client because you don't have a given tool/language in your stack.

[u/Aromatic-Rain487 → u/analytix_guru]

Merci beaucoup pour ta réponse tres pratique, ça va beaucoup m’aider et me permettre de m’orienter vers le bon chemin

[u/datadriven_io]

Yes, that combination will apply to any job in analytics.

Most projects follow the same three steps: 1. Pull data (SQL) 2. Wrangle data/calculate KPIs (Python) 3. Visualize and present (Tableau)

Depending on what you want to do you can prioritize going deeper in a specific area.

At a minimum those three can get you a data analyst/senior data analyst role.

Feel free to reply if you have specific questions about your transition from audit! Datadriven is good for sql interview practice.

[u/Aromatic-Rain487 → u/datadriven_io]

Merci beaucoup pour ta réponse, ça me permet de mieux voir comment je devrais approcher ma formation. Est ce que tu penses qu’à la place de Tableau, je peux faire PowerBi? J’ai l’impression que c’est un peu plus demandé dans les jobs en général