Data is based on 942 job openings.
The salary range for data analyst is anywhere between $45,000 to $150,000 per year.
Below is a breakdown of salary data by years of experience:
| Experience | Minimum salary | Average salary | Maximum salary |
|---|---|---|---|
| Entry Level Data Analyst (0-1 years) | $45,000 | $55,000 | $65,000 |
| Junior Data Analyst (2-4 years) | $65,000 | $77,500 | $90,000 |
| Senior Level Data Analyst (5-9 years) | $90,000 | $105,000 | $120,000 |
| Lead Level Data Analyst (10+ years) | $120,000 | $135,000 | $150,000 |
The salary range for entry-level data analyst is between $45,000 and $65,000 per year.
The salary range for senior-level data analyst is between $90,000 and $120,000 per year.
Yes, Data Analyst positions can be fully remote. Companies such as VetsEZ, iHeartMedia, TriTech Enterprise Systems, Inc. are hiring remotely for Data Analyst. Check out the latest remote Data Analyst job openings below.
Yes, there are 942 remote job openings:
Develop dashboards, operational reports, and visualizations to support health information exchange and population health analysis. Analyze healthcare utilization and clinical quality measures while collaborating with engineering and clinical teams to ensure data accuracy.
The analyst will manage campaign delivery by connecting ad metrics with KPIs and producing standardized data reports. They will collaborate with sales teams to provide actionable insights through data visualization and complex query execution.
The Data Analyst will perform data analysis and reporting within a cloud lakehouse environment to support program and stakeholder needs. Responsibilities include writing and tuning SQL and Python code, developing Power BI dashboards, and documenting data methodologies.
The Data Analyst will utilize statistical methods and reporting tools to refine and deliver data that informs institutional analytics and solves business problems. They are responsible for designing, testing, and validating reports while providing expert training on analysis tools to other constituents.
The Data Analyst will own data stewardship, quality, and analytics within the Operations function for a designated investment team. Responsibilities include managing data intake, executing ad hoc analyses, and supporting the organization's research and learning agendas.
Manage workforce planning for assigned accounts, including forecasting contact volumes, recommending staffing levels, tracking agent movement and adherence, and monitoring performance and productivity. Analyze operational KPIs and forecast variances, provide recommendations and ad hoc insights, and communicate findings to internal teams and clients.
The role involves designing and developing data visualization and dashboard solutions while leading data cleaning scripts using tools like Databricks, SQL, and Python. The individual will partner with stakeholders to define AI/analytics use cases and identify opportunities for workflow optimization and automation.
Collect, analyse, validate, and interpret programme data, identifying trends, risks, discrepancies, and data quality issues. Develop reports, dashboards, and KPI information, and recommend improvements that support operational decisions and benefits tracking.
Build and maintain Power BI dashboards and reporting for revenue metrics, and use SQL to answer business questions and support recurring reporting. Help monitor Azure Data Factory pipelines, maintain data quality across source systems, document data models and metrics, and contribute to AI-assisted analytics and automation projects.
The Data Analyst will design, collect, and analyze organizational data to drive decision-making and process improvement within the Human Resources department. They are responsible for developing scorecards, automating reports, and providing predictive analytics to support recruitment and employee engagement strategies.
