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Data Analyst In Social Services Jobs in Texas (NOW HIRING)

Meta

Data Analyst, Global Operations

Austin, TX · On-site

$125K/yr

... self-service tools for teams across Meta * Champion the adoption and integration of AI tooling ... in social technology. People who choose to build their careers by building with us at Meta help ...

K2 Group Inc.

Data Analyst

Houston, TX · On-site

*This is a contingent opportunity Data Analyst K2 Group is seeking a Data Analyst in support of Headquarters, Installation Management Command (IMCOM) Provost Marshal/Protection Support Services (PM ...

K2 Group, Inc.

Data Analyst

Bexar, TX · On-site

*This is a contingent opportunity Data Analyst K2 Group is seeking a Data Analyst in support of Headquarters, Installation Management Command (IMCOM) Provost Marshal/Protection Support Services (PM ...

Crouch Staffing Solutions, Inc.

Data Analyst

Waco, TX · On-site

$70K/yr

Data Analyst - NetSuite Experience Waco, TX | Full-Time | $70,000/year | Apply at www.crouchstaffing.com Full Crouch Staffing Solutions is hiring a full-time Data Analyst in Waco, TX. This Data ...

SWBC

Data Analyst

San Antonio, TX · On-site

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to ... Years of Service awards * Career enhancement and growth opportunities * Leadership Academy and ...

Swbc

Data Analyst

San Antonio, TX

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to ... Years of Service awards * Career enhancement and growth opportunities * Leadership Academy and ...

SWBC

Data Analyst

San Antonio, TX · On-site

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to ... Years of Service awards * Career enhancement and growth opportunities * Leadership Academy and ...

Solomon Page

Data Analyst

Austin, TX · On-site

$35 - $45/hr

Perform complex data analysis in support of ad-hoc and recurring management and customer requests. * Develop methodologies, programs, and analytical processes for collecting, analyzing, and ...

SWBC

Senior Data Analyst

San Antonio, TX

$77K - $97K/yr

As a Senior Data Analyst in SWBC's financial institution group, you will have the opportunity to ... Years of Service awards * Career enhancement and growth opportunities * Leadership Academy and ...

SWBC

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

As a Senior Data Analyst in SWBC's financial institution group, you will have the opportunity to ... Years of Service awards * Career enhancement and growth opportunities * Leadership Academy and ...

Swbc

Senior Data Analyst

San Antonio, TX

$77K - $97K/yr

As a Senior Data Analyst in SWBC's financial institution group, you will have the opportunity to ... Years of Service awards * Career enhancement and growth opportunities * Leadership Academy and ...

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All JobsData Analyst In Social Services JobsData Analyst In Social Services Jobs in Texas

Data Analyst In Social Services information

What does a data analyst in social services do?

A Data Analyst in Social Services collects, processes, and interprets data related to social programs, beneficiaries, and community needs. They help organizations make informed decisions by identifying trends, evaluating program effectiveness, and generating reports. Their work supports the development of strategies to improve service delivery, allocate resources efficiently, and demonstrate the impact of social service initiatives. Data Analysts in this field often work with sensitive information and collaborate closely with social workers, program managers, and policymakers.

What are the key skills and qualifications needed to thrive as a data analyst in social services, and why are they important?

To thrive as a Data Analyst in Social Services, you need strong analytical skills, experience with data management, and a relevant degree in statistics, social sciences, or a related field. Familiarity with data analysis tools such as Excel, SQL, and statistical software like SPSS or R is typically required. Excellent communication, problem-solving abilities, and an understanding of social service contexts are standout soft skills. These competencies are crucial for accurately interpreting data, informing policy decisions, and driving positive outcomes for communities served.

How does a data analyst in social services typically collaborate with case managers and program staff?

As a Data Analyst in Social Services, you'll regularly work closely with case managers and program staff to interpret data trends, measure program effectiveness, and identify areas for improvement. You may help design data collection tools, provide training on data entry protocols, and meet with teams to discuss findings that influence service delivery strategies. This collaboration ensures that the data you analyze directly supports real-world decisions, ultimately enhancing outcomes for clients served by the organization.

What is the difference between Data Analyst In Social Services vs Data Analyst In Healthcare?

AspectData Analyst In Social ServicesData Analyst In Healthcare
Required CredentialsBachelor's in social sciences, data analysis certificationsBachelor's in health sciences, data analysis certifications
Work EnvironmentNon-profit agencies, government social programsHospitals, clinics, healthcare organizations
Employer & Industry UsageSocial service agencies, government departmentsHealthcare providers, insurance companies
Common Search & ComparisonYesYes

While both roles involve data analysis skills, Data Analyst In Social Services focuses on social programs and community services, whereas Data Analyst In Healthcare specializes in health data within medical settings. The credentials and work environments overlap but differ in industry focus, making each role tailored to its specific sector.

What is data analysis in social services?

Data analysis in social services involves collecting, processing, and interpreting data related to client needs, program outcomes, and service delivery. A data analyst in this field uses statistical tools and software to identify trends, measure effectiveness, and support decision-making to improve community support and resource allocation.

What are popular job titles related to Data Analyst In Social Services jobs in Texas?

For Data Analyst In Social Services jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Analyst In Social Services jobs in Texas look for?

The top searched job categories for Data Analyst In Social Services jobs in Texas are:

What cities in Texas are hiring for Data Analyst In Social Services jobs?

Cities in Texas with the most Data Analyst In Social Services job openings:

Data Analyst In Social Services jobs near you

Business Data Analyst in Banking Domain

Austin, TX • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

Contractor

Posted 15 days ago

Job description

Position: Business Data Analyst in Banking Domain

Location: Austin, TX 

Duration: Long-Term Contract

Experience: 12–15+ Years

Key Skills: Data Analysis, strong SQL, ETL, Reporting, Azure Cloud and LoanIQ experience is a plus

Job Summary:

We are seeking an experienced Senior Data Analyst with 12–15+ years of experience in the Banking domain. The ideal candidate will have strong expertise in data analysis, advanced SQL, ETL, reporting, Azure Cloud, and banking data environments.

Candidates should have strong knowledge of commercial banking and lending operations, including loan servicing, loan transactions, loan balances, payments, interest, fees, commitments, and related banking processes. LoanIQ experience is highly preferred.

The candidate will work closely with banking business teams, data engineering teams, application teams, and reporting stakeholders to analyze complex banking data, ensure data quality, support reporting requirements, and deliver actionable insights.

Key Responsibilities:

  • Perform advanced data analysis across banking and lending datasets.
  • Analyze commercial banking data related to loans, loan accounts, commitments, payments, balances, interest, fees, and transactions.
  • Develop complex SQL queries to extract, analyze, reconcile, and validate banking data.
  • Analyze large datasets to identify data trends, discrepancies, anomalies, and data-quality issues.
  • Work with business stakeholders to understand banking requirements and translate them into data and reporting solutions.
  • Analyze data from banking applications and source systems supporting commercial lending and banking operations.
  • Develop and validate ETL/ELT processes for banking data.
  • Perform source-to-target validation, data reconciliation, data mapping, and data-quality analysis.
  • Support development and maintenance of banking reports and operational reporting.
  • Validate data used for loan, account, transaction, payment, and portfolio reporting.
  • Investigate data discrepancies and perform root-cause analysis across banking systems.
  • Support data migration, integration, and conversion activities involving banking applications.
  • Work with Microsoft Azure cloud-based data platforms and banking data environments.
  • Collaborate with data engineers, developers, business analysts, QA teams, and banking subject-matter experts.
  • Support SIT/UAT by performing data validation, reconciliation, defect analysis, and reporting verification.
  • Prepare technical and functional documentation including data mappings, business rules, data definitions, source-to-target mappings, and reporting specifications.
  • Ensure banking data follows established data governance, data quality, security, and audit standards.

Required Technical Skills:

  • 12–15+ years of experience in Data Analysis / Data Analytics.
  • Strong and recent Banking domain experience.
  • Advanced SQL skills.
  • Strong experience with ETL/ELT processes.
  • Strong experience in data analysis, data validation, reconciliation, and data quality.
  • Strong experience with reporting and business intelligence.
  • Experience working with Microsoft Azure cloud technologies.
  • Strong understanding of relational databases, data warehouses, data models, and enterprise banking data.
  • Experience working with large-scale banking datasets.
  • Strong analytical and problem-solving capabilities.
  • Excellent communication and stakeholder-management skills.