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

Audiense - Award-winning audience segmentation and social consumer intelligence for global brands ... service * Experience working with python or R * Proficiency in Excel, Word, and PowerPoint * Time ...

We are searching for a Social Services Director that is resident, and family-focused, a team builder, and excited about the opportunity to assist in building a facility culture. The primary purpose ...

We are searching for a Social Services Director that is resident, and family-focused, a team builder, and excited about the opportunity to assist in building a facility culture. The primary purpose ...

Job Summary : LP Analyst is a leading independent private asset cloud-based analytics and ... meet service-level agreements and data delivery deadlines, adapting to shifting priorities in a ...

Individuals in this role will work closely with IPA leadership to structure problems, identify data sources, perform analysis, and communicate findings. Strong performers will build skills to ...

Data Analyst

Arlington, TX · On-site

$64K - $124K/yr

The Data Analyst will use client platform data to identify trends, patterns, and actionable ... Services provides reasonable ranges of compensation for hired roles based on labor costs in the ...

The Lead Data Analyst is advanced in analytics and is critical for driving improved business ... in accordance with the needs of Service Experts. Service Experts is committed to making our ...

Apply today and we'll be in touch. What You'll Do: * Complete social service assessments for every resident and build them into individualized care plans. * Write quarterly social service progress ...

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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.

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 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.

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 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:
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Full-time

Posted 20 days ago


Job description

Role:
The Data Analyst aggregates data into decision-ready insights for leadership and executives enabling well-informed business decisions. Working within the Data Operations Department, the Data Analyst collects and analyzes data from core banking, lending, and member-facing systems - sales figures, market and member research, operational metrics, and more. This role partners closely with Data Engineering on data pipelines and warehouse structures, and increasingly supports the credit union's on-premises analytics initiatives by ensuring the underlying data is clean, well-documented, and trustworthy.
Essential Functions & Responsibilities:
Analyze member, financial, and operational data from core banking (DB2) and SQL Server systems to identify trends, patterns, and opportunities that support credit union decision-making.
Design, build, and maintain reports and dashboards (Power BI, Excel, SQL-based reporting) that translate raw data into clear, actionable insights for business stakeholders.
Partner with the Data Engineering and Data Operations team to define reporting requirements, validate data warehouse outputs, and ensure data accuracy across source systems.
Document data definitions, business rules, and key metrics; maintain a consistent, well-understood data dictionary to support self-service reporting across the credit union.
Perform other job duties as assigned, including ad hoc analysis in support of regulatory, audit, and operational requests.
Performance Measurements:
  1. Create intelligent, informative written and visual reports or dashboards that stakeholders can act on.
  2. Identifies and implements key measurements used in the day-to-day management of the credit union.
  3. Maintains accurate, well-documented data definitions and reporting logic.
  4. Ability to analyze data efficiently and accurately at a high level.

Knowledge and Skills:
Experience: Three years to five years of similar or related experience.
Education: (1) A bachelor's degree, or (2) achievement of formal certifications recognized in the industry as equivalent to a bachelor's degree (e.g., information technology certifications in lieu of a degree).
Interpersonal Skills: Work involves much personal contact with others inside and/or outside the organization for the purpose of first-level conflict resolution, building relationships, and soliciting cooperation. Discussions involve a higher degree of confidentiality and discretion, requiring diplomacy and tact in communication.
Other Skills:
  • A high knowledge of mathematical and analytical ability
  • Report writing
  • The ability to analyze, model and interpret data
  • Problem-solving skills
  • Accuracy and attention to detail
  • Knowledge of data profiling and proven experience in data mining, collation and dashboard creation
  • Strong, professional written and verbal communication skills with the ability to work with all levels within the credit union; confidence in your ability to anticipate what is needed; flexibility and ability to us initiative
  • Strong analytical skills with proven experience of managing/ handling data
  • A wealth of data management experience and working knowledge of reporting universe structures and processes
  • Advanced skills in presentation of data
  • Working knowledge of relational databases and how they are manipulated
  • Experience in using statistical techniques in a credit union environment
  • Ideally the experience or ability to learn SQL or JAVA
  • Excellent time management and organization skills and be able to deliver deadlines
  • Good understanding of business drivers and service standards and have a proactive approach to service improvement
  • Personable, positive and resilient creative thinker
  • Team Player with strong work ethic
  • A 'can-do' attitude and high degree of energy and focus on engaging with new ideas
  • Pragmatic approach to problem solving and ability to use initiative as appropriate
  • Friendly, confident and positive person who remains calm and professional under pressure
  • Must be able to work flexibly to meet the needs of the business
  • Excellent skills in Microsoft Office, in particular Excel (formulas, data capture and pivot tables), and in-depth knowledge of integrated business and accounting systems
  • Any other duties that may be required from time to time for the smooth running of the credit union