What Data Professionals Can Do When #OpenToWork

The field of data is dynamic and constantly changing with different tools being released daily and mini-revolutions just around the corner (ChatGPT). This promotes a movement to transition into data or rotate career direction. During career changes, many professionals often grapple with the question: “What should I be doing as I'm looking for a new role?”

As someone who has transitioned from recruitment to data analytics and now spearheads a specialist data recruitment agency, I understand the intricacies of the job market and the importance of strategic preparation during transition periods. If you're a data professional currently #OpenToWork, here are some proactive steps you can take:

A data professional working on their profile.

1. Take Stock

Self-awareness is key. Reflect on where you stand right now. Ask yourself:

• What are my current skills?

• What roles align with my current expertise?

• How do I fare against market rates and demands?

A comprehensive understanding of where you are versus where you desire to be can lay down a clear roadmap for your career progression. With regard to data, think about what coding languages you have proficiency in (e.g. Python, R, SAS, SQL) then consider previous industry experience e.g. a Manager for a gym that has begun to learn Power BI may transition into a role at a company with a large membership focus such as a Bank or Insurance firm.

2. Consult and Aim

While self-reflection provides personal clarity, external perspectives offer direction. Engage in conversations with:

• Industry peers who might provide insights into current market trends.

• Colleagues who can share their own transition stories.

• Mentors who can provide experienced guidance and perhaps even point out paths you hadn’t considered.

Through these interactions, formulate your career aspirations and the potential routes to reach them. My advice is to not go messaging ever Senior Data Engineer in your local area but to try provide value in the form of post interaction e.g. comment on a post on LinkedIn with support, then reach out to introduce yourself to see if they can help with tips.

3. Upskilling: Your Strongest Ally

There's always something new to learn. Remember, it’s about making yourself the best possible hire, not relying on an employer or new opportunity come choose you at random. Explore:

• Online courses to master new data tools or techniques. Coursera or Udemy.

• Workshops or boot camps that can give you hands-on experience.

• Large Tech Providers: Microsoft, AWS, Snowflake or DBT Courses

• Reading industry journals or attending webinars to keep up with trends.

Your enhanced skill set not only makes you more marketable but can also open doors to roles you hadn't initially considered. If you're considering a specific career move into say Business Intelligence, then your best bet is to upskill in the stack of choice so in this case, Power BI.

4. Networking

Your network can help with understanding the job market, skills in demand and how to match the two. Networking with the intention to help others and build long-term relationships rather than transactional exchanges is paramount. Regularly engage with:

• Local or virtual data meet-ups.

• Industry conferences or seminars.

• Alumni groups or professional associations related to data analytics.

Being active in these communities increases your visibility and can often lead to potential job referrals. Some Meetup groups in Australia that are relevant:

• Microsoft Meetup

• Data Engineering Meetup

• AWS Meetup

...and more! Check out www.meetup.com and search your local city.

5. Polish Your Professional Image

In today’s digital age, your online presence speaks volumes. Ensure you make a great first impression by:

• CV: Highlight your key achievements, not just tasks. Tailor it for the roles you are targeting. My advice, find a sleek template online and replicate it.

• LinkedIn: A well-crafted profile, with clear skill descriptions and aspirations detailed speaks to your professional credibility. Regularly share and comment on industry-related content to showcase your engagement and expertise.

• GitHub: For those more technically inclined, ensure your projects are well-documented and reflect the breadth and depth of your skills.

In conclusion, being #OpenToWork is not just about seeking the next opportunity but strategically positioning yourself to seize the right one. Realistically, the one thing you can control in this process is your own employability which comes down to skillset, experience and value-add. Improve these in relation to the job you want.

I'm Douglas, former Data Analyst and Founder of DR Analytics Recruitment

We help businesses hire top data & analytics talent across Australia.