TELUS Digital AI Data Solutions’ Post

Within the last year, we screened through >100 candidates for data-related roles and also talked to close to 200 companies about their data analytics roadmap, aspirations & challenges.   In the format of a SWOT analysis, here's what we are observing:   Strengths: 1. The level of interest is high. A LinkedIn job post for a data role can get >50 applicants within a day. We also had a customer that filtered through 500 applications just to hire a data analyst. 2. There are lots of junior talent churned out by universities through degrees with an analytics specialization   Weaknesses: 1. There is a lack of leaders that know business + technology capable of crafting a data strategy with a clear line of sight about how technology and data add real value to the business. 2. Awareness that data is valuable is high, but awareness of HOW data can bring value is low. Rather than talking about data-driven decisions, we need to start thinking about decision-driven data and work on providing that to the business.   Opportunities: 1. Automation - there are a lot of manual data extraction, transformation, and reporting work happening that can be automated at a low cost. With modern tools, not a lot of technical knowledge is required. 2. Data Engineering - there was a big hype about data science in the last few years, but that subsided with the realization that the data readiness is not quite there yet, whether that means a lack of data or siloed data. Data engineering solves that by building a single source of truth with accessible and trustable data from multiple sources.   Threats: 1. The growth potential of a data professional in Malaysia is fairly low. There is a short average tenure for data roles and people hop around to gain more experience and exposure. 2. Adoption of new technologies is rather slow, partly due to a lack of technical and budgetary resource constraints, but mostly due to a lack of direction surrounding value and how/where to start. Overall - it's a good time to be in this business :) #data #analytics

The average Senior Data Scientist or Software Engineer in Australia or New Zealand is likely to be paying about 31-33% of their salary in tax. Current CPI is at 3.8%. Interest rates are higher than we've all grown used to. This all combined makes it quite hard to get ahead for most. You've likely heard that places like Dubai and Singapore offer no - lower income taxation. But are you aware that in Bangkok, many expats are paying significantly low income tax? We hear that some of them are managing to put away half of their income for a rainy day. They also benefit from: A lower cost of living. Being based in Asia's gateway, travelling easily and frequently. Warm weather all year round. New cultural experiences. Cosmopolitan lifestyle (and some actual nightlife!). Doing high quality technical work, at scale in a product environment. Working in a diverse international team. Having their (and family) full relocation covered. Ancillary benefits (top medical insurance, education discounts, travel points). Work from anywhere periods (so you can get back home for a bit, or work on an island somewhere). But I suppose none of this sounds interesting to you? If it actually does though and you happen to be a Data Scientist/Manager or ML/Software Engineer we really should be talking. Drop myself or June Marie Ponseca a DM.

Raise your hand if you’re exploring a new job. 🙋♀️🙋 Data-specific roles within Canada are in high-demand! 💡Fueled by the growth of AI and data-based decision making, the number of data-related roles placed year-over-year has steadily increased — and we don’t expect it to slow down anytime soon. If you have experience or have an interest in collecting, interpreting, and modeling data to uncover insights and draw conclusions for smart decision making… A Data Analyst role might just be for you! Read the blog to learn more about this career path: https://lnkd.in/eTPKwTU7 #DataAnlayst #DataAnalytics #SiSysInsights

We saw a familiar face in The Straits Times recently - it's Jin Yi Toh, one of our Step IT Up graduates! So proud and glad to see her finding her legs as a business analyst working with Ministry of Education, Singapore (MOE) in developing Simpler: https://lnkd.in/g78BTVrr As an analyst, Jin Yi works to define user needs and pain points and use these information to drive product enhancements on Simpler, works with in-house engineers to translate these needs to product features, then analyses usage data with stakeholders to help improve on them for the benefit of users. In her own words, her experience on this project so far has been rewarding: "Working on this project allowed me to utilise skills I picked up from SIU (e.g. user research, service journey mapping, stakeholder management) and presented me the opportunity to pick up new skills (e.g. data analytics using Microsoft PowerBI). The team that I have been working with has been incredibly supportive of me when I proposed using this tool (PowerBI) to provide visuals for the data and gave me the space and time to pick up this tool by myself. Aside from that, the attitude that I have gained from SIU – always ask questions, be willing to take on challenges – has also made these contributions possible. Whenever presented with a new task or opportunity, even when it's something that I have not done before, I will always respond with a “I’m willing to try”. This is also aligned with my own personal aspirations - I strongly believe in and practice life-long learning, which makes it easy for me to take on new tasks and challenges." Keep going Jin Yi! Sumathy Ganapathy Jared Dandridge

Juicy secret to growth? Ability to take in feedback + foreseeing what's needed. Here's how... - Data Engineer Lead in retail: Management might ask to see big picture of what they can track. You foresee that they'll need to know more details which are a, b, c because of that's how they: - Track sales - Track delivery/operations - Track Customers Experience which relates to Marketing, Sales, Fulfilment etc. So you produce the said solutions (that you foresee they'll need) ahead of time. When the management asks more details - you've got it ready to show & they can see the picture clearly. - Recruiter: When things go wrong, ask yourself why. If you can't see what's wrong in your process but the results aren't what you want - know to ask for advice from someone more experienced. This is where the ability to take in feedback creates new trajectory. And the more experienced you are, the better you can foreseeing things happening. ... What have you done to make yourself available for growth? ..... Recruitment: - I'm working with a great team here at PSK and looking for a fresh or 1-3 years experienced consultant to join my team. The above said pretty much what I & we value, and how you can succeed. ..... Data Role: - I'm also holding a great opportunity for Data Engineering Lead - retail, logistics, e-commerce sectors. Open to expats (If you're already based in Thailand or looking to move here). *Please see how to reach me in the comment. #careergrowth #leaddataengineer #techjobsinthailand #recruitment

Dive deep into our latest blog post exploring the invaluable advantages of hiring a Research Analyst! 🔍 From uncovering market trends to gaining actionable insights, a skilled analyst is sure to propel your business forward! 🚀📊

Landing a role as a junior analyst is more competitive than ever. 😵💫 Recently I was asked what skills do I think junior analysts need to stand out against tough competition. Here are three key skills that I think can set you apart and fast-track your career! 📈 Persistence: This isn’t just a skill, it’s a mindset. In data analysis, challenges are inevitable. Developing a ‘there’s always a way’ attitude will push you to find solutions where others see roadblocks. 💪🏻 SQL Skills: Many smaller data teams lack dedicated backend engineers, so strong SQL skills are crucial. Becoming proficient at writing efficient queries and performing complex data joins will make you invaluable and will position you as the go-to person for backend work. 🧑💻 Presentation Skills: While many data professionals lean towards introversion, creating engaging presentations will make you stand out. Being able to communicate your findings effectively is just as important as the analysis itself! 📊 #dataanalysis #junioranalyst #SQLskills #data #vilnius #newanalyst #career #presentations #skills #lithuania #entrylevel

Want to build a career that is resilient to down markets? Then build your career like you would build a product: for a niche market. Being a data analyst isn't enough anymore. There's too much of the same on offer. Instead do this: 1. Pick a technical skill. 2. Pick a methodology. 3. Pick a vertical. Master all 3. What this looks like for me: 1. Data engineering 2. Product management 3. Financial services At the end you end up with the super generic title of "consultant". But the career optionality and job security is immense.

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