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Healthcare Business Intelligence & Analytics Analyst -Information Technology

Location:

620 Foster Avenue Brooklyn, NY 11230

Hours:

Full Time

Premium Health Center, a rapidly growing FQHC in Brooklyn, is seeking a detail-oriented and analytical Business Intelligence (BI) Analyst to join our growing Data & Analytics team. This role blends data analysis with light data engineering to build robust data pipelines, deliver actionable insights, and create high-quality reporting and analytics. The BI Analyst will play a key role in transforming raw data into actionable insights that will directly inform strategic, clinical, operational, and financial decisions across the organization.

Time Commitment:

Full Time, Hybrid Eligible

Responsibilities:

Analytics, Visualization & Storytelling

· Design, develop, and maintain dashboards, reports, and data visualizations in Power BI (or similar tools)

· Apply data visualization and storytelling best practices to create intuitive, user-friendly dashboards.

· Translate complex healthcare data into clear, actionable insights that support decisions for clinical, operational, finance, and executive teams.

· Develop and maintain semantic data models, KPIs, and performance metrics aligned with FQHC goals.

· Collaborate with stakeholders to gather requirements and recommend effective analytical and visual solutions.

· Analyze healthcare data from EHR systems (e.g.,eClinicalWorks, Office Practicum, etc) and other sources to identify trends, gaps, and opportunities for improvement.

· Support UDS (Uniform Data System) reporting and other regulatory compliance requirements.

· Create sustainable reporting frameworks for recurring healthcare and operational metrics.

Data Engineering &Pipeline Support

· Build and maintain light ETL and data integration tasks using SQL, APIs, and scripting tools.

· Write and optimize SQL queries to support analysis, dashboards, and data pipelines.

· Perform data wrangling, cleaning, validation, and transformation to prepare datasets for analysis and reporting.

· Ensure data integrity, accuracy, and security in all reporting and data engineering workflows.

· Perform data validation, reconciliation, and root-cause analysis for data quality issues.

Collaboration and Data Literacy

· Collaborate with clinical, operational, and executive teams to understand business needs and translate them into technical solutions.

· Provide training, documentation, and support to improve data literacy and promote appropriate self-service use of organizational dashboards.

· Collaborate with IT and data teams on architecture, governance, and data quality initiatives.

Requirements:

· Bachelor's degree in Data Science, Public Health, Health Informatics, Computer Science, ora related field.

· 4+years of experience in a BI, data analyst, or similar role, preferably in a healthcare or FQHC setting.

· Strong proficiency in SQL, including complex joins, window functions, and data transformations

· Hands-on experience with Power BI, or similar BI platform, including DAX, data modeling, and visualization design.

· Experience working with scripting languages (Python, R, etc) and APIs to support data integration and automation.

· Experience with semantic data modeling in Power BI.

· Strong analytical, critical thinking, and problem-solving skills.

· Excellent communication and data storytelling skills with the proven ability to present insights to non-technical audiences.

· Detail oriented with strong data troubleshooting and validation skills.

· Highly organized, with the ability to manage multiple tasks and deadlines.

· Self-starter who works independently and collaboratively.

· Ability to partner cross-functionally across clinical, operational, financial, IT, and data teams.

· Fast learner with adaptability to evolving tools and organizational needs.

· Strong commitment to high standards of data quality, accuracy, and confidentiality.

· Familiarity with HIPAA or other similar data privacy standards.

Preferred:

· Experience with Microsoft Azure, Fabric, Purview, or similar cloud platforms.

· Experience with Power Automate or similar tool for basic workflow automation.

· Familiarity with Git or similar version control tools.

· Experience with EHR systems (eCW, Office Practicum, etc,).

· Understanding of healthcare data, including clinical, operational, and financial metrics.

· Experience with UDS reporting or other healthcare regulatory or quality metrics.

Compensation:

$110,000 - $145,000, commensurate with experience

Benefits:

· Medical, Dental, Vision and Life coverage

· Paid Time Off and holidays

· Employee Assistance Program

· Flexible spending account

· Public Service Loan Forgiveness (PSLF), NHSC Loan Repayment Program

· 403(b) Retirement Plans with employer matching

IDR is seeking a Bilingual Reporting Analyst to join one of our top clients for a hybrid opportunity in Dallas, Texas. This role supports a leading organization in the data analytics and business intelligence industry, focusing on designing and delivering advanced reporting solutions. The company values innovation and data-driven decision-making, ensuring a dynamic work environment with growth opportunities.

Position Overview for the Bilingual Reporting Analyst:

• Lead collection, integration, and governance of data across multiple systems
• Design and maintain scalable data pipelines and reporting infrastructure
• Develop PowerBI dashboards and executive reporting tools
• Perform advanced analysis including forecasting, variance analysis, and benchmarking
• Automate reporting processes to reduce manual reporting work

Requirements for the Bilingual Reporting Analyst:

• Bachelor’s degree in Engineering, Statistics, Mathematics, Systems, or related fields
• Minimum of 3 years of experience in data analysis, business intelligence, or similar roles
• Proven experience as a data analyst or business data analyst
• Technical expertise with data models, database design development, data mining, and segmentation techniques
• Advanced proficiency in PowerBI, Excel (pivot tables, macros, complex formulas), SQL, and knowledge of Python or R
• Must be bilingual in both English and Spanish

What's in it for you?

• Competitive compensation package
• Full Benefits; Medical, Vision, Dental, and more!
• Opportunity to get in with an industry leading organization.

Why IDR?

• 25+ Years of Proven Industry Experience in 4 major markets
• Employee Stock Ownership Program
• Dedicated Engagement Manager who is committed to you and your success.
• Medical, Dental, Vision, and Life Insurance
• ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row.

Job Summary:

We are seeking a detail-oriented SQL Analyst ideally with experience in SQL Server Management Studio (SSMS). This role will be responsible for designing, executing, and optimizing SQL queries, supporting data analysis initiatives.

The ideal candidate is highly analytical, skilled in relational databases, and capable of transforming raw data into meaningful reports that support data-driven decision making.

Key Responsibilities:

• Write, optimize, and maintain SQL queries and stored procedures to extract and analyze data from multiple sources.
• Perform data analysis to identify trends, anomalies, and business opportunities.
• Support business users by troubleshooting data issues, validating results, and ensuring accuracy of reporting.
• Collaborate with cross-functional teams to define requirements and translate them into technical solutions.
• Ensure data integrity, security, and performance of queries and reporting solutions.
• Create and maintain documentation for queries, dashboards, and data processes.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience).
• 2+ years of experience working as a SQL Analyst, Data Analyst, or BI Analyst.
• Strong proficiency in SQL and experience with SQL Server / SSMS.
• Solid understanding of relational databases, data structures, and ETL concepts.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to communicate technical concepts to non-technical stakeholders.

Company Description

Spiras Health delivers personalized healthcare services at home, focusing on patients at high risk of emergency events or hospitalizations. By addressing the unique needs of individuals with chronic diseases, multiple health conditions, and other social determinants of health, Spiras Health enhances quality of life and reduces healthcare costs. Through collaboration with health plan providers and care management teams, the company employs local Clinical Care Teams to deliver tailored home-based care. Leveraging innovative technology, Spiras Health ensures efficient and effective program delivery. For more information, visit .

Who We Are:  Excellence, Innovation, Passion, Compassion, Communication

Spiras Health is a value-based, nurse practitioner led clinical provider of care-at-home and other health-related services to individuals with complex and polychronic needs. Spiras’ comprehensive approach to care delivery includes a combination of home-based services, telehealth, two-way digital communications, and remote patient monitoring. Proprietary predictive modeling identifies and assesses individuals with an elevated probability of avoidable costs. Spiras Health then develops actionable plans of care, addresses barriers including social determinants of health and delivers high quality patient care in collaboration with the patient’s treating physicians. Spiras’ innovative multi-modal care approach delivers improved satisfaction and clinical metrics as well as financial savings to its partners, through a geographically and economically scalable delivery model. Our culture is anchored on a promise of full accountability and integrity in everything we do.

How We Serve:

The Senior Data Analyst, in partnership with the Chief Financial Officer and Chief Commercial Officer, will design and develop market and opportunity analysis, monitor and measure contract performance, and model operational strategies and initiatives. Additionally, this role offers opportunity to engage with senior management and business unit leaders, contributing key insights that inform strategic decision making that ultimately supports the company’s growth.

Job Summary:

The Sr Analyst - Data & Analytics owns the integrity, analysis, and interpretation of payer claims data to support performance measurement, utilization management, and value-based care initiatives. This role is hands-on and accountable for claims QA, utilization metrics, and analytics outputs used by clinical, operations, and executive stakeholders.

This is an individual contributor role with strong technical depth in payer claims data and healthcare analytics platforms, including MedeAnalytics.

Key Responsibilities

Claims Data Quality & Governance

• Own QA processes for medical and pharmacy claims data, including eligibility, provider, diagnosis, procedure, and financial fields
• Identify, quantify, and resolve data anomalies (e.g., lag, duplication, missing claims, inconsistent coding)
• Partner with data engineering, vendors, and payers to remediate data quality issues
• Define and maintain claims data validation rules and documentation

Analytics & Utilization Management

• Analyze and report on core utilization metrics, including:
• Inpatient admits / 1,000
• ED visits / 1,000
• Readmissions
• PMPM cost trends
• Length of stay
• Avoidable admissions
• Apply payer benchmarks (national, regional, risk-adjusted where applicable) to contextualize performance
• Support matched cohort, pre/post, and trend analyses
• Translate claims data into actionable insights for clinical and operations teams

Platform Ownership (MedeAnalytics)

• Serve as a power user and analytics owner of the MedeAnalytics platform
• Build, validate, and QA dashboards, reports, and analytic views
• Ensure alignment between platform outputs and internal data models
• Act as internal SME for MedeAnalytics capabilities and limitations

Stakeholder & Team Collaboration

• Partner closely with:
• Clinical leadership
• Operations
• Finance
• Growth
• Present findings to senior leadership in clear, non-technical language

Required Qualifications

• 5–8 years of healthcare analytics experience
• Deep experience working with payer medical and pharmacy claims data
• Strong understanding of utilization metrics and healthcare cost drivers
• Hands-on experience with MedeAnalytics (required)
• Advanced SQL/SAS skills; experience with data visualization tools (Tableau, Power BI, or equivalent)
• Proven ability to QA complex healthcare datasets
• Bachelor’s degree in Analytics, Statistics, Health Informatics, or related field

Preferred Qualifications

• Experience supporting value-based care, MA, D-SNP, or ACO programs
• Familiarity with HEDIS, Stars, or CMS reporting concepts
• Experience with risk adjustment (HCCs)

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• This job operates in a hybrid professional environment free from noise and distraction. This role routinely uses standard office equipment such as computers and phones.
• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. 
• Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. 
• While performing the duties of this job, the employee is regularly required to talk and hear.
• This position requires the ability to occasionally lift office products and supplies, up to twenty pounds.

EEOC STATEMENT:  

• All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.  

The Manager of Data is responsible for overseeing the collection, management, and analysis of institutional data to support decision-making and strategic planning. This role involves leading a team of data analysts and ensuring data integrity, security, and compliance with relevant regulations. Additionally, the manager collaborates with various departments to develop data governance policies and implement effective data management practices that enhance the institution's ability to leverage data for improved outcomes.

Job Duty 1 -
Oversee the development and implementation of data management strategies to ensure the accurate collection, storage, and retrieval of institutional data.

Job Duty 9 -
Collaborate with academic and administrative departments to identify data needs and develop solutions that enhance data accessibility and usability.

Job Duty 10 -
Perform other duties as assigned.

Job Duty 2 -
Lead a team of data analysts in conducting data analysis and reporting to support institutional decision-making and strategic initiatives.

Job Duty 3 -
Establish and enforce data governance policies to ensure data quality, integrity, and compliance with relevant regulations and standards.

Job Duty 4 -
Monitor data management systems and tools, ensuring they are maintained, updated, and aligned with best practices in data security and privacy.

Job Duty 5 -
Provide training and support to staff on data management practices, tools, and analytical techniques to foster a data-driven culture within the institution.

Job Duty 6 -
Conduct regular audits of data processes and systems to identify areas for improvement and implement corrective actions as needed.

Job Duty 7 -
Prepare and present comprehensive reports on data trends, analysis findings, and management initiatives to senior leadership and relevant stakeholders.

Job Duty 8 -
Stay informed about emerging data management technologies and methodologies to continually enhance the institution's data management capabilities.

Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience.

Required Experience
5+ years of relevant experience; 3+ years of supervisory knowledge.

Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.

• Master's degree in Computer Science, Information Technology, Information System, Data Science, Business Administration, related discipline or equivalent, related experience.
• Certified Data Management Professional certification.
• Experience designing, implementing and operating Security Information Management solutions such as SIMS or ThreatSwitch.
• Advanced knowledge of SQL, database design and data modeling expertise.
• Experience in managing and securing enterprise security database systems containing sensitive and regulated data.
• Experience in cross-departmental collaboration during security investigations, assessments, and compliance reviews.

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). This position is in the Research Security Department (RS) of GTRI.

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+

Rate : $55/Hr on W2 Max

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Stephen

Lead Talent Acquisition Specialist

Email :