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Data Analysist Jobs (NOW HIRING)

Data Analyst

Manhattan, NY ยท On-site

$90K - $125K/yr

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 ...

Data Analyst . Duration: 3+ Years Location: Brooklyn, New York 11201. REQ ID: 06022017-2DA PROJECT SCOPE: NYCERS seeks at minimum two (2) Data Analysts to work with the Information Technology (IT) ...

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to ...

Data Analyst with Vanderbilt University (Nashville, TN) Build data analytics and strategic insights capabilities in the Office of Deputy Provost and the Office of the Provost. Work cross-functionally ...

Job Summary The Data Analyst will support banking and financial services initiatives by providing deep analytical expertise across commercial lending, capital markets, and financial products. The ...

Position : Data Analyst Location : Santa Clara, CA Onsite - Local Only Duration : Long term contract Description: * Strong in advance SQL * Good at data analysis * Should be able to build BI ...

Data Analyst LOCATION:Bentonville, AR Duration: 6 to 12+ Months Rate: DOE J ob Duties: Analyze, document and design data objects, data quality rules, and data quality tests to be landed and executed.

Data Analyst

Raleigh, NC ยท On-site

$72K - $80K/yr

The data analyst will be responsible for analyzing large data sets, creating visualizations, and generating reports that support data-driven decision making. You will need to be able to create ...

Data Analyst LOCATION: San Bruno- CA Duration: 6 Months Rate: DOE Description: Description: Job Duties: Validate partner settlements through proactive and reactive mitigation of Payment Fraud and ...

Data Analyst

Midland, TX ยท On-site

$61.70 - $70.84/hr

The Engineering Technician / Petroleum Data Analyst is responsible for supporting engineering, well servicing, drilling, completions, and production operations through advanced data management ...

PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role ...

Data Analyst

Vienna, VA ยท Hybrid

$104K - $134K/yr

Overview BRMi is seeking a Data Analyst to support our customer's Lending Data Governance function by delivering advanced analytics, business intelligence, and data quality capabilities that enable ...

New

Data Analyst Job Details The successful candidate for this position will provide operational reporting and analysis in support of the B2B marketing strategy for digital content. Coordinating efforts ...

Data Analyst LOCATION: Sunnyvale CA Duration: 6 to 12+ Months Description: Job Duties:Analyze, document and design data objects, data quality rules, and data quality tests to be landed and executed.

Business Data Analyst Location: Plano, TX Hybrid: 2 days a week for now but eventually it can be 4 days a week(M/T). Duration: 12+ Months (Contract) Who We Are Our Analytics team focuses on ...

Master's degree in Mathematics, Computer Science, Economics, or Statistics * 5-7 years experience mining data as a data analyst or business data analyst * Proven analytic skills, including mining ...

Data Analyst

Little Rock, AR ยท Hybrid

$42 - $44/hr

The Data Analyst will design scalable, automated workflows that ensure timely data delivery, proactive anomaly detection, and streamlined reporting processes. Collaboration with cross-functional ...

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How much do data analysist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data analysist 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and providing context. The role of a data analyst evolves with technology, emphasizing skills in data storytelling, domain knowledge, and tool proficiency like SQL and Python. AI complements rather than replaces the need for skilled analysts in most environments.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring relevant skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with a strong educational background, certifications, and experience in data visualization are typically better positioned to find employment in this field.

Is 40 too late for data science?

Data analysis and data science roles are open to candidates of all ages, and many professionals transition into the field later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively.

What are some common challenges Data Analysts face when working with large or complex datasets?

Data Analysts often encounter challenges such as ensuring data quality, dealing with missing or inconsistent data, and managing large volumes of information that require efficient processing techniques. Additionally, they may need to collaborate closely with IT and business teams to understand data sources and business requirements. Staying adaptable and continuously learning new tools or programming languages, such as SQL or Python, is essential for overcoming these obstacles and delivering valuable insights.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a related field. Mastery of tools like SQL, Excel, Python or R, and familiarity with data visualization platforms such as Tableau or Power BI are essential. Attention to detail, critical thinking, and strong communication skills set top performers apart in this role. These competencies enable data analysts to extract meaningful insights from complex datasets, supporting strategic decision-making in organizations.

What is the difference between Data Analysist vs Data Analyst?

AspectData AnalysistData Analyst
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel or TableauBachelor's degree, certifications in data visualization or analysis tools
Work EnvironmentOffice, remote, or client sites; corporate or consulting firmsOffice-based, remote, or client sites; corporate or consulting settings
Employer & Industry UsageBusiness, finance, healthcare, marketingBusiness, finance, healthcare, marketing
Common Search & ComparisonYesYes

Data Analysist and Data Analyst roles are similar, often overlapping in skills and industry usage. The main difference lies in terminology; 'Data Analysist' is less common and may be a typo or regional variation. Both roles involve analyzing data to support decision-making, requiring similar credentials and work environments. Understanding these nuances helps job seekers find the right opportunities and clarify role expectations.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical techniques and software tools to interpret data sets, identify trends, and present findings in reports or visualizations. Data Analysts often work closely with other departments to understand their data needs and provide actionable insights. Their work helps companies improve processes, products, or services by leveraging data-driven decision making.
More about Data Analysist jobs
What cities are hiring for Data Analysist jobs? Cities with the most Data Analysist job openings:
What states have the most Data Analysist jobs? States with the most job openings for Data Analysist jobs include:
Infographic showing various Data Analysist job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 4% As Needed, 77% Part Time, 2% Temporary, 15% Contract, and 1% Nights. Highlights an 75% Physical, 20% Hybrid, and 5% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Healthix

Manhattan, NY โ€ข On-site

$90K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 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 organizationโ€™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 โ€“ 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 Healthixโ€™s data architecture to enable nextโ€‘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 dataโ€‘driven decisionโ€‘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 dataโ€‘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 openโ€‘source and vendor dataโ€‘lineage tools and contribute to longโ€‘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

Weโ€™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.