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Data Analyst Supervisor Jobs (NOW HIRING)

Data Analyst

Manhattan, NY · On-site

$90K - $125K/yr

Supervisory Responsibilities: * This job has no supervisory responsibilities. Qualifications: * 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics ...

... SQL Interpret data, analyze results using statistical techniques and provide ongoing reports ... or supervisory role OR Associate's degree in a related field from an accredited college or ...

Seeking a Data Analyst to support the CIO Division. This position serves as a data analyst ... The supervisor sets the overall objectives and resources available. The employee plans and carries ...

R154321 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Manages assigned projects and meets deadlines with moderate supervision from supervisor and/or ...

R159245 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Manages assigned projects and meets deadlines with moderate supervision from supervisor and/or ...

R155816 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Manages assigned projects and meets deadlines with moderate supervision from supervisor and/or ...

R159245 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Manages assigned projects and meets deadlines with moderate supervision from supervisor and/or ...

R155816 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Manages assigned projects and meets deadlines with moderate supervision from supervisor and/or ...

Data Analyst

Atlanta, GA · On-site

$48.76 - $53.76/hr

... data analysis and reporting in support of management decision making in the functional area ... or supervisory role OR Associate's degree in a related field from an accredited college or ...

R154321 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Manages assigned projects and meets deadlines with moderate supervision from supervisor and/or ...

Support supervisor in ensuring the quality of less tenured analysts meet the expectations of our ... Big Data. This is a high PRIORITY requisition.

We are seeking a Data Analyst to perform complex data analysis, trend identification, and reporting ... Bachelor's Degree + 2 years in a lead/supervisory role OR Associate's Degree + 4 years of related ...

... data modeling and analysis techniques Build, develop and maintain data models, reporting systems ... supervises and is accountable for the daily activities of business support, technical or production ...

Data Analyst

Washington, DC · On-site

$130 - $150K/hr

Seeking a Data Analyst to support the CIO Division. This position serves as a data analyst ... The supervisor sets the overall objectives and resources available. The employee plans and carries ...

Seeking a Data Analyst to support the CIO Division. This position serves as a data analyst ... The supervisor sets the overall objectives and resources available. The employee plans and carries ...

Data Analyst Location: Houston- onsite 4 days per week & Friday remote Long term- Contract to hire ... III. Supervisory Responsibilities No supervisory skills are required in this job. IV. ...

A successful Marketing Data Analyst develops and maintains the statistical modeling, analysis and reporting across various projects as assigned by the supervisor as well as supports the monthly close ...

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Data Analyst Supervisor information

See salary details

$34K

$82.6K

$136K

How much do data analyst supervisor jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data analyst supervisor in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst Supervisor, and why are they important?

To thrive as a Data Analyst Supervisor, you need strong analytical skills, experience in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s or master’s degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL databases, and knowledge of programming languages like Python or R is typically required. Leadership, effective communication, and mentoring abilities are essential soft skills for guiding teams and translating complex data insights to stakeholders. These skills ensure accurate data-driven decision-making, team effectiveness, and clear communication of findings in organizational settings.

How does a Data Analyst Supervisor balance hands-on data analysis with team management responsibilities?

A Data Analyst Supervisor often splits their time between directly supporting complex data projects and guiding their team’s day-to-day activities. While they are still involved in high-level data analysis and validation, a significant portion of their role includes mentoring analysts, managing project timelines, and ensuring quality standards are met. Effective supervisors delegate routine tasks, provide training, and facilitate collaboration with other departments, such as IT or business units. This balance allows them to maintain technical expertise while fostering team growth and ensuring project success.

What does a Data Analyst Supervisor do?

A Data Analyst Supervisor oversees a team of data analysts to ensure the accurate collection, analysis, and interpretation of data within an organization. They are responsible for managing projects, setting priorities, and ensuring that data-driven insights support business decisions. Additionally, they provide mentorship, review analytical work for quality, and collaborate with other departments to align data initiatives with organizational goals. Their role often includes developing data policies, implementing best practices, and facilitating training to improve team performance.

What is the difference between Data Analyst Supervisor vs Data Analyst?

AspectData Analyst SupervisorData Analyst
CredentialsBachelor's degree in data science, statistics, or related field; experience in data analysis; leadership skillsBachelor's degree in data science, statistics, or related field; proficiency in data tools
Work EnvironmentOversees data teams, manages projects, collaborates with managementPerforms data collection, analysis, and reporting tasks
Employer & Industry UsageUsed in organizations with data teams, across industries like finance, healthcare, techCommonly employed in similar industries, often as entry to mid-level roles

The main difference between a Data Analyst Supervisor and a Data Analyst lies in leadership responsibilities. The supervisor oversees data teams, manages projects, and collaborates with management, while the Data Analyst focuses on performing data analysis and reporting tasks. Both roles require similar educational backgrounds and technical skills, but the supervisor position involves additional leadership and management duties.

More about Data Analyst Supervisor jobs
What cities are hiring for Data Analyst Supervisor jobs? Cities with the most Data Analyst Supervisor job openings:
Infographic showing various Data Analyst Supervisor job openings in the United States as of May 2026, with employment types broken down into 43% Full Time, 52% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Healthix

Manhattan, NY • On-site

$90K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

JOB TITLE: Data Analyst

REPORTS TO: Director of Data Strategy and Reporting

DEPARTMENT: IT

HOURS: 40 Hours

FLSA STATUS: Exempt

SALARY: $90k-125k

POSITION SUMMARY:

The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements.

Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.

The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.

Requirements

Essential Duties and Responsibilities:

  • Enhance and streamline data and pipeline architecture to improve data flow and collection.
  • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery.
  • Independently address the data requirements of multiple teams, systems, and products.
  • Refine or redesign Healthix’s data architecture to enable next‑generation products and data capabilities.
  • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare.
  • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence.
  • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders.
  • Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making.
  • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems.
  • Provide general reporting and project support across the organization.
  • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance.
  • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks.
  • Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams.
  • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset.

Supervisory Responsibilities:

  • This job has no supervisory responsibilities.

Qualifications:

  • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred.
  • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases.
  • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases.
  • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements.
  • Experience in building and optimizing big data pipelines, architectures, and data sets.
  • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities.
  • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management.
  • Working knowledge of message queuing, stream processing, and scalable big data stores.
  • Proficient in big data tools such as Hadoop, Spark, and Kafka.
  • Experience with relational SQL and NoSQL databases.
  • Strong programming skills with languages like Python, Java, C++, and Scala.
  • Ability to architect end-to-end ETL pipelines.
  • Experience with AWS services and BI tools like Tableau.
  • Strong quantitative, analytical, process development, facilitation, and organizational skills.
  • Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.

Benefits

SALARY: $90k-125k

We’re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.