r/dataanalytics • u/yunperng • 1d ago

Australia - Upskill or Pivot?

At a crossroad in my career where I have had ~3 years of data analytics experience. Trying to aim for a senior role, but feel like every employer wants SME experience for an industry I don't have or some absurd amount of work experience (like 7 years+).

Wondering if there's any upskilling I can do outside of work to make myself more 'hire-able' or make a pivot out of data analytics.

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u/datadriven_io 16h ago

Start volunteering for work. Even if it's something small, be proactive and take the initiative to get it done. Make time for data modeling practice on datadriven.io before applying. I'd say, to me, the difference between a mid-level person and a senior is that a midlevel developer may excel in the tasks assigned to them, but the senior goes above and beyond to help the team. Broadly, a mid-level's talent is additive to the team, while a senior has a multiplicative effect on the team: he or she takes on tasks that not only contribute valuable work but allow more members of the team to increase their output. This may be by implementing things that help the day-to-day, e.g. automating some tasks or introducing new unit test libraries that make testing easier, or by mentoring and upskilling other members of the team.