Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in United States.

As a Data Analyst, you will play a key role in transforming data into actionable insights that drive business decisions and optimize operational efficiency. You will collaborate closely with cross-functional teams to analyze, visualize, and automate data processes, helping to maximize the performance of digital products and programs. This role offers the opportunity to work with large, complex datasets, apply statistical methods, and design scalable solutions that impact product strategy and decision-making. You will also help develop dashboards and reporting tools to support leadership and team members, ensuring data-driven outcomes across the organization. If you enjoy solving problems, working with technical and non-technical stakeholders, and leveraging analytics to improve efficiency, this role offers both challenge and growth.

Accountabilities:

· Analyze large and complex datasets to extract meaningful insights that inform decision-making across digital operations, product, and finance teams.

· Develop and maintain dashboards, reports, and visualizations to support strategic and operational goals.

· Automate routine analytical tasks to increase efficiency and reduce errors.

· Partner with cross-functional teams to understand business needs and design appropriate analytical approaches.

· Collaborate with data and BI teams to ensure consistency, reproducibility, and accuracy in data insights.

· Monitor industry trends and new analytical technologies to enhance the team’s capabilities and methodology.

· Communicate findings clearly to both technical and non-technical stakeholders to drive action.

Requirements

· Minimum of 2 years of relevant experience in data analysis or a related field.

· Proficiency in SQL, Python, and other data analysis and modeling tools.

· Strong skills in data cleaning, preprocessing, manipulation, integration, and interrogation of large datasets.

· Solid understanding of statistical methods, probability distributions, sampling, resampling, bias, and error.

· Experience designing dashboards and visualizations for cross-functional teams.

· Strong problem-solving skills, critical thinking, and ability to work independently while navigating ambiguity.

· Excellent verbal and written communication skills, with the ability to explain technical information to non-technical audiences.

· Bonus: experience with cloud-based storage and computing, dbt, machine learning algorithms, and healthcare domain knowledge related to release of information.

Benefits

· Competitive salary range: $80,000—$120,000 USD.

· Remote work opportunity across the United States.

· Flexible work environment supporting professional growth and innovation.

· Access to tools, technology, and resources to enhance productivity.

· Inclusive, collaborative, and high-performance team culture.

· Health and safety measures including post-offer screenings and vaccinations where applicable.

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!

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