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Data Soft Logic Jobs (NOW HIRING)

Act as a subject-matter expert for data definitions, metrics, and business logic * Maintain ... Comfort operating as a product owner without direct engineering management Soft Skills * Excellent ...

Support HR data replication and modernization, translating legacy SQL Server logic to Oracle HCM ... Required Soft Skills: * Ability to work independently as a contractor and deliver on clearly ...

Support HR data replication and modernization, translating legacy SQL Server logic to Oracle HCM ... Required Soft Skills: * Ability to work independently as a contractor and deliver on clearly ...

Support HR data replication and modernization, translating legacy SQL Server logic to Oracle HCM ... Required Soft Skills: * Ability to work independently as a contractor and deliver on clearly ...

Support HR data replication and modernization, translating legacy SQL Server logic to Oracle HCM ... Required Soft Skills: * Ability to work independently as a contractor and deliver on clearly ...

Support HR data replication and modernization, translating legacy SQL Server logic to Oracle HCM ... Required Soft Skills: * Ability to work independently as a contractor and deliver on clearly ...

Data Engineer

$100K - $115K/yr

Support development and enhancement of enriched data models, including field-level enrichment logic ... handling, soft deletes, authorization flags, and incorrect organizational mappings. * Support ...

Sr. Data Analyst

Cary, NC · On-site

$81K - $103K/yr

Cloud technologies, Dental Domain Knowledge or Insurance domain knowledge Soft Skills: Excellent in ... questions on reporting - logic, frequency, output data, access etc * Actively participate in ...

Senior Data Analyst

Cary, NC · On-site

$79K - $100K/yr

Cloud technologies, Dental Domain Knowledge or Insurance domain knowledge Soft Skills: Excellent in ... logic, frequency, output data, access etc • Actively participate in discussions with Business ...

Sr Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

This role focuses on hands-on development of data pipelines, data models, and transformation logic ... Soft Skills * Strong analytical and problem-solving skills with a proactive mindset. * Ability to ...

Execute SQL queries to detect data breaks and validate transformation logic. * Support data ... Soft Skills: * Strong analytical and problem-solving skills. * Ability to communicate with both ...

Data Engineer I

Waco, TX · On-site

$101K - $122K/yr

Participate in the testing, validation, and documentation of pipeline logic and data flows. Monitor ... Soft Skills: Strong problem-solving and analytical skills. Attention to detail and commitment to ...

Review ERDs, data models, and transformation logic to ensure alignment with consent use cases. 3. ... Soft Skills * Strong problem-solving and analytical thinking. * Excellent communication and ...

Showing results 21-40

Data Soft Logic information

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$9

$36

$86

How much do data soft logic jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data soft logic in the United States is $36.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $50.00 per hour, depending on experience, location, and employer.

What is Data Soft Logic?

Data Soft Logic is a company that provides cloud-based software solutions tailored for the home health, hospice, and therapy industries. Their platforms are designed to help healthcare agencies streamline operations, manage patient records, ensure regulatory compliance, and improve workflow efficiency. By offering tools for scheduling, billing, electronic medical records (EMR), and reporting, Data Soft Logic aims to enhance productivity and quality of care for healthcare providers.

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 relevant degree in data science, mathematics, or a related field. Familiarity with technical tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is essential. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills in this role. These competencies enable accurate data interpretation, insightful reporting, and informed decision-making for business success.

What are the typical challenges faced by professionals working with Data Soft Logic software in healthcare settings?

Professionals using Data Soft Logic software in healthcare often encounter challenges related to adapting to frequent updates, ensuring data accuracy for compliance purposes, and efficiently managing electronic documentation within strict regulatory timelines. Additionally, collaborating with clinical staff to facilitate seamless workflow integration can require ongoing communication and training. Staying organized and proactively seeking support when needed can help overcome these common obstacles and ensure smooth operations.
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What cities are hiring for Data Soft Logic jobs? Cities with the most Data Soft Logic job openings:
What are the most commonly searched types of Data Soft Logic jobs? The most popular types of Data Soft Logic jobs are:
What job categories do people searching Data Soft Logic jobs look for? The top searched job categories for Data Soft Logic jobs are:
Infographic showing various Data Soft Logic job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,589 per year, or $36.3 per hour.

Full-time

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Job description

Job description:
Qualifications
Required Qualifications
  • Bachelor's degree in Analytics, Economics, Business Analysis, Marketing, or a related field
  • 3+ years' experience working with SQL, Python, or similar analytical tools
  • 1+ year experience in stakeholder-facing roles or product ownership responsibilities
  • Demonstrated experience supporting data-driven decision-making

Key Responsibilities
1. Data Product Ownership & Quality Assurance
  • Own analytics-ready datasets and dashboards from requirements through delivery and adoption
  • Lead QA and UAT processes for new datasets, pipelines, and data products
    • Define acceptance criteria, test plans, and validation checks
    • Ensure data accuracy, completeness, usability, and consistency
  • Partner with data engineering to:
    • Investigate root causes of data issues and bugs
    • Prioritize fixes and enhancements
    • Validate deployments before production release
  • Act as a subject-matter expert for data definitions, metrics, and business logic
  • Maintain documentation for data products, schemas, and testing standards

2. Analytics Enablement & Insight Delivery
  • Query and validate complex datasets using SQL and Python
  • Analyze large datasets to identify trends, patterns, and actionable insights
  • Translate analytical findings into clear, business-friendly narratives
  • Support end-to-end analytical deliverables from exploration through operationalization
  • Ensure analytics outputs are trusted, repeatable, and fit for business use

3. Marketing & Experimentation Support
  • Partner with marketing and business teams to:
    • Enable audience segmentation for acquisition, engagement, and retention initiatives
    • Define data needs for targeted and 1:1 campaign execution
  • Support experimentation frameworks by:
    • Defining test/control logic and success metrics
    • Validating campaign data inputs and outputs
  • Ensure campaign data flows are properly tested and production-ready

4. Stakeholder & Cross-Functional Collaboration
  • Act as the primary liaison between business stakeholders and technical teams
  • Elicit, document, and prioritize business requirements for analytics and data products
  • Align privacy, legal, and compliance considerations into data design and testing
  • Collaborate with internal teams and external partners to assess data quality and resolve discrepancies
  • Promote shared understanding of data products and encourage best practices across teams

Skills & Competencies
Technical Skills
  • Strong proficiency in SQL and working knowledge of Python
  • Experience validating and testing data pipelines, datasets, and dashboards
  • Understanding of data modeling concepts and analytical data structures
  • Familiarity with cloud data platforms and modern data pipelines is a plus
  • Experience working with consumer or customer data preferred

Product & QA Skills
  • Experience defining business requirements, acceptance criteria, and success metrics
  • Strong background in QA, UAT, and data validation workflows
  • Ability to balance speed with data quality and governance
  • Comfort operating as a product owner without direct engineering management

Soft Skills
  • Excellent communication and data storytelling skills
  • Strong critical thinking and problem-solving capabilities
  • Ability to navigate ambiguity and drive clarity across teams
  • Proven ability to influence stakeholders without formal authority
  • High attention to detail and a proactive ownership mindset

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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