Data Analyst - Junior Level (Remote)

Data Career Starter — From Spreadsheets to SQL, Python, and DashboardsIf you enjoy working with spreadsheets, reports, patterns, and business questions, a data career may be a natural next step. But to compete for data roles, candidates need to move beyond basic reporting and show technical ability with SQL, Python, dashboards, and data storytelling. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Tableau, Power BI, data cleaning, visualization, reporting, and business insights. This opportunity is ideal for recent graduates, career switchers, and professionals who want to move from business operations into data-focused roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data engineers/data scientists, machine learning engineers for full time positions with clients. We focus on Java/full stack/DevOps and data science/data engineers/data analysts/BI analysts/machine learning/AI candidates.Ideal candidates:Recent grads in CS, Engineering, Math, or Statistics with limited or no job experienceJobseekers who had layoffs due to downsizing and want to get in demand tech stackProfessionals seeking a career switch to techCandidates with career gaps or lacking real-world experienceIndividuals looking to boost their skill portfolio for better job prospectsComputer Science grads with limited or no job experienceStudents who recently finished their Bachelor's or Master's programsThose struggling to land interviews despite having experienceSynergisticit JOPP is good for data career starters because it helps structure the transition. Candidates can strengthen tool knowledge, build practical projects, prepare for interviews, and position their background in a way that makes sense to hiring managers. Instead of only saying you are interested in data, you can work toward showing proof.