Data Analyst/Python Programmer - Remote

Entry-Level Data Analyst — Start Your Career in Data With Practical Skills

Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly. A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, 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 experience
• Jobseekers who had layoffs due to downsizing and want to get in demand tech stack
• Professionals seeking a career switch to tech
• Candidates with career gaps or lacking real-world experience
• Individuals looking to boost their skill portfolio for better job prospects
• Computer Science grads with limited or no job experience
• Students who recently finished their Bachelor's or Master's programs
• Those struggling to land interviews despite having experience

SynergisticIT JOPP is good for aspiring data analysts because it focuses on job readiness, not just learning tools. Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact.

If you are ready to turn your interest in data into a career path, contact us.