The Data Analytics Institute’s Post

⚠️[MAJOR UPDATE🚀] WEEK 44: DATA JOB OPENINGS IN AUSTRALIA⚠️ Hi folks, We are excited to share a major update... We have overhauled the ENTRY LEVEL DATA JOB SPREADSHEET✨ and made some significant changes to make it even easier for all of you to find and apply for data jobs. Here is what we have updated: - The biggest update is that going forward, we will source jobs from LinkedIn as well (earlier the database only included Seek). This will ensure completeness and cover almost all the #data jobs under the Australian skies. - We have now included Data Engineering and associated roles too (earlier the spreadsheet included only "Data Analyst" roles) - We have added some AI-powered fields (beware of some hallucinations and factual mistakes). The new fields added are as follows: 1) CITY and STATE - Separate columns for city and state for easier filtering 2) TOP TECH SKILLS - top tech skills or tools mentioned in the job description. Multiple tools are comma-separated 3) FUNCTION - function the role or team is related to (e.g. finance, marketing, human resources) 4) INDUSTRY - The industry or domain the company is related to (banking, construction, education, healthcare etc.) 5) PR/CITIZENSHIP REQUIREMENT - Flagged if this information is explicitly mentioned in the job description 6) SECURITY CLEARANCE - Flagged if this information is explicitly mentioned in the job description 7) LOCATION TYPE - Whether the location is remote/regional or in a major city See the complete list here: https://buff.ly/3XQ9ZN1 #dataanalyst #job #hiring #australia #analytics #data #dataengineering #openforwork #powerbi #sql #tableau #businessanalytics

💡 Tip of the day for Data professionals looking to land a new role 💡 If you want to stand out to recruiters and have worked in a consultancy role as a Data Engineer, Data Analyst etc.. Update the role title to include the role, e.g. "Data Engineer Consultant" When recruiters search for candidates, often we have "years of experience" requirements from our clients. If you worked at a consultancy as a Data professional for X amount of years, but your title for that role is "Consultant at X company", LinkedIn will not include that time as experience in the role, making it harder for recruiters to find you. I have seen a lot of candidates whose experience reflects as much less than it is in reality due to simply not specifying their role at a consultancy in their job title. On a side note, if you are looking for B2B work as a Data Engineer to work fully remotely within the EU, DM me, lots of roles available!

Who makes more, hard core data scientists or switch-hitting business analysts? I am not surprised to see #businessanalytics #salaries top #datascience based on what I have heard from senior executives. The first thing they usually tell me is that "I love my data scientists!" The second is usually "...but...they spend so much time building the coolest stuff I could never use". A team with a mix of business analysts that understand both data and business and data scientists focusing on tech should always outperform a team with only data scientists. Some folks will argue that the best data scientists will understand the business context. And this is true! These folks move up the ladder so quickly that they don't stay data scientists very long. So, most practicing data scientists tend to be tech-focused. This creates a need for trained business analysts.

🌟 Australia needs YOU – the future data analyst! 🌟 With growing demand, excellent salaries, and global opportunities, this is your chance to step into the thriving world of data analytics. 💡 Enroll today and transform your career in just 25 weeks! 📢 Join the revolution. 📩 Click to learn more! #DataAnalytics #CareerGrowth #DataJobs #LearningVersity #AustraliaJobs #UpskillToday #LearningVersityAustralia #LearningVersity #Australia

This project is entirely based on the free course offered by one of my favorite YouTubers in the Data Analyst world , " Luke Barousse" work on datanerd.tech and the collaborative course by Luke and Kelly Adams, I've conducted an in-depth analysis of Data Analyst jobs using SQL. In it, he created a course with different levels aimed at educating. I used this as a practical and real way to solve the daily question I face when showing up for work or when answering recruiters' inquiries about my salary expectations. This is based on the countries of my interest (Calgary, AB, Canada, Santiago, Chile, and Australia). The above focused on the question of whether it had been a good idea to move to Calgary and the results only supported what I already thought. In Canada there is more demand for Data Analyst professionals compared to the other two countries where I have worked. Just to make it easier to visualize and understand and make it useful for me, and anyone who wanted to use it, I decided with the databases generated to make an interactive dashboard in Tableau to share it with whoever wanted. Something simple and practical to review: https://lnkd.in/g6DPzAP6 4️⃣ What are the top skills that are associated with higher salaries?  5️⃣ What are the most optimal skills to learn? Check out the full analysis here: https://lnkd.in/gVnx7A-h

What makes you a ‘senior’ data analyst? A) Strong technical skills + Strong domain knowledge B) Expert technical skills + Limited domain knowledge C) Excel + Expert domain knowledge D) None of these -> comment below 👇🏼 There is only one right answer. #Data #Analytics #Recruitment

#hiring Senior Business Reporting & Data Analyst, Chicago, United States, fulltime #jobs #jobseekers #careers #Chicagojobs #Illinoisjobs Apply: https://lnkd.in/gEi6X6qY Discover. A brighter future. With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: Assess and analyze business processes/needs and establish appropriate metrics, tests or controls to achieve business objectives. Process information such as raw data, reports, numerical analyses, research results, validations, test results, etc. to understand the state of business operations, enabling operational process execution, complete regulatory responses and ongoing regulatory compliance as well as complete business unit testing, monitoring, and auditing. Convert raw data into meaningful information by evolving reporting architecture and information delivery methods, participating in operational projects, supporting data validation, product owner and project coordinator activities. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.ResponsibilitiesAssess business needs and establish metrics, tests, or controls needed to achieve objectives. Determine what information is needed to achieve operational objectives or problems. Research and locate systems and data. Develop program

Business analysts assess how organisations are performing and help them improve their processes and systems. They conduct research and analysis in order to come up with solutions to business problems and help to introduce these solutions to businesses and their clients. The estimated salary for a Junior Data Analyst is 55,000 Euros per year in Germany. A junior business analyst makes 65.000 Euros. The average junior data analyst gross salary in China is ¥302,186, while a business analyst makes ¥405,800. US salaries are the highest for business analysts, with a total annual pay of $80,790 for data analysts, and $113,500 for business analysts. Salary estimates based on salary survey data collected directly from employers and anonymous employees, conducted by Glassdoor. Lancelot F. James Marcela Barrios León Joon Nak Choi Kris Baoqian PAN Carlos Fernández-Loría Akihiko Katayama Lâle Kesebi

Hello ALL! I am currently looking for Data Analyst (Cards & Payments) @ Chicago, IL. Anyone interested? Role: Data Analyst (Cards & Payments)  Location: Chicago, IL Skills recommended: • Strong Business acumen (especially terms level, card product, acquisition/portfolio campaign offers, transactions, reward partner info, rates, fees, Data Analyst duties include: • Perform analysis of tables, understanding their content and relationship to other tables to determine necessary and complete updates • Understand and enforce the data integrity and data governance standards • Translate business requirements into data solutions • Design and support new and existing services or data structures per business requirements • Coordinate change requests • Support the distribution of data and structure changes to multiple copies of the database with minimal productivity interruption. • Turning data into standardized processes / workflows (i.e.: prime rate changes, etc.) • Document processes, procedures, and standards • Account to business partners by including data stewards and business and technology approvers on all changes Skills needed: • Understanding of rule-based logic, business rule engines and workflows • SQL • Analytic mindset • Understanding of normalization vs. denormalization • Relational database structure • Process-oriented • Services knowledge • Problem Solving • Critical thinking #DataAnalyst #SQL #Cards #Payments #Dataintegrity #Datagovernance