Data Analyst - Remote

This position is posted by Jobgether on behalf of [SynergisticIT]. We are currently looking for a [Data Analyst - Remote] in [Michigan (USA)]. This role is ideal for early-career data professionals looking to gain hands-on experience with real-world datasets and analytics tools in a fully remote environment. You will work closely with cross-functional teams to collect, clean, and interpret data, providing actionable insights to support business decisions. The position emphasizes building practical skills in SQL, Python, Excel, Power BI, Tableau, and cloud data platforms while contributing to meaningful projects. You will analyze trends, create dashboards, and generate reports that influence strategic planning and operational improvements. This is an excellent opportunity for recent graduates, international STEM OPT holders, or candidates transitioning into data analytics to accelerate their career growth and establish a strong professional foundation. Mentorship, training, and exposure to industry-standard tools are integral parts of the role. Accountabilities ·         Collect, clean, and validate data from multiple sources to ensure accuracy and consistency. ·         Analyze datasets to identify trends, patterns, and actionable insights that support business objectives. ·         Build interactive dashboards and visualizations using tools like Power BI or Tableau. ·         Prepare reports, summaries, and presentations for internal teams and stakeholders. ·         Collaborate with developers, product managers, and business teams to understand data needs and provide solutions. ·         Maintain documentation for data processes, workflows, and analytics methodologies. ·         Support ad-hoc data requests and exploratory analyses for ongoing projects. Requirements ·         Bachelor’s degree or equivalent in Computer Science, Statistics, Mathematics, Data Analytics, or related field. ·         Proficiency in SQL, Excel, and at least one programming language such as Python or R. ·         Familiarity with data visualization tools like Power BI, Tableau, or equivalent. ·         Understanding of data cleaning, transformation, and modeling techniques. ·         Strong analytical and problem-solving skills with attention to detail. ·         Excellent communication skills, capable of explaining complex insights to technical and non-technical audiences. ·         Ability to work independently in a remote setting while managing multiple tasks. ·         Bonus: experience with cloud platforms (AWS, Azure, GCP), ETL processes, or machine learning basics. Benefits ·         Competitive entry-level salary with performance-based incentives. ·         Fully remote work environment with flexible hours. ·         Paid time off, holidays, and personal/sick leave. ·         Access to mentorship, certifications, and professional development resources. ·         Health, dental, and vision coverage. ·         Hands-on experience with industry-standard tools and real-world projects. ·         Support with career development and STEM OPT/H-1B compliant placement opportunities. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest!   #LI-CL1