2

Remote Data Soft Logic Jobs (NOW HIRING)

Canada - Remote Full Time The Consent Data Analyst is responsible for analyzing, interpreting, and ... Review ERDs, data models, and transformation logic to ensure alignment with consent use cases. 3. ...

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 ...

Senior Data Developer (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible ... Develop and optimize SQL/T-SQL scripts, stored procedures, and transformation logic. * Extract and ...

Lead Data Architect

Boca Raton, FL · On-site +1

$190/hr

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job ... Lead the migration of transformation logic into dbt models * Define architectural patterns for ...

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job ... Lead the migration of transformation logic into dbt models * Define architectural patterns for ...

Remote Fulltime Summary: Hands-on, independent contributor who can originate work, turn ambiguous ... Partner with Data Engineering/Data Science/SMEs to validate logic and deliver accurate outputs.

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Comfortable working with data engineers to validate datasets, metric logic, and dashboard performance. This is a remote position.

Remote work flexibility. #LI-DNI About Us: Sumo Logic, Inc., empowers the people who power modern ... data protection. The expected annual base salary range is unavailable for this posting as your ...

Senior Business Data Analyst

$88K - $111K/yr

... this is remote position working with US CST Hours. Responsibilities: * Work with business ... Document business definitions, KPIs, and data logic used in downstream reporting and analytics ...

Showing results 21-40

Remote Data Soft Logic information

Are there actually remote data soft logic jobs?

Remote Data Soft Logic jobs are available in the industry, often involving roles such as data analysts or software developers working remotely. These positions typically require skills in data management, programming, and familiarity with remote collaboration tools. Many companies now offer remote opportunities for such roles, especially in the tech and data sectors.

What is the difference between Remote Data Soft Logic vs Data Analyst?

AspectRemote Data Soft LogicData Analyst
Required CredentialsTypically requires a background in computer science, data management, or related certificationsRequires a degree in statistics, mathematics, or related fields; often certifications like Microsoft Excel or Tableau
Work EnvironmentPrimarily remote, involving data management, software tools, and programmingUsually office-based or remote, focusing on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, and data-driven companies for software and data system managementCommon in finance, marketing, healthcare, and consulting for data analysis and decision support

Remote Data Soft Logic focuses on managing and implementing data software systems remotely, often requiring technical skills and programming. Data Analysts interpret data to generate insights, typically working with statistical tools. While both roles involve data, Remote Data Soft Logic emphasizes software and system setup, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Soft Logic jobs
What cities are hiring for Remote Data Soft Logic jobs? Cities with the most Remote 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 states have the most Remote Data Soft Logic jobs? States with the most job openings for Remote Data Soft Logic jobs include:
Infographic showing various Remote 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.

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role: Consent Data Analyst
Location: Canada - Remote
Full Time
Job description:
The Consent Data Analyst is responsible for analyzing, interpreting, and operationalizing consent and privacy-related data across the organization. This role bridges business, analytics, and engineering teams to ensure that consent data is accurately captured, governed, transformed, and made available for compliant analytics, marketing, and product use cases.
The analyst plays a key role in supporting a customer privacy-centric data ecosystem, ensuring adherence to regulatory frameworks (e.g., GDPR, CCPA) while enabling data-driven decision-making.
Key Responsibilities
1. Consent & Data Analysis
  • Perform end-to-end analysis of consent data lifecycle-from collection to transformation and consumption.
  • Analyze large datasets using SQL to identify trends, anomalies, and compliance gaps.
  • Conduct data profiling to assess data quality, completeness, and usability for consent-driven use cases.

2. Requirements & Data Modeling
  • Gather, document, and translate business requirements into data specifications and analytical solutions.
  • Collaborate with data engineers and architects to design dimensional models and consent-focused data structures.
  • Review ERDs, data models, and transformation logic to ensure alignment with consent use cases.

3. Consent Platform & Integration Support
  • Work with consent management platforms (e.g., OneTrust) and downstream systems (CRM, ESPs, marketing tools).
  • Validate and support data pipelines that integrate consent data across platforms.
  • Ensure consent data is properly mapped and available across analytics ecosystems.

4. Data Governance, Privacy & Compliance
  • Implement and support data governance, lineage, metadata, and quality frameworks for consent data.
  • Ensure compliance with privacy regulations (GDPR, CCPA) in all data processes and reporting outputs.
  • Partner with data stewards and privacy teams to enforce policies and standards.

5. Data Quality & Issue Resolution
  • Identify data quality issues and collaborate with engineering teams to remediate them.
  • Develop validation rules and checks for consent data pipelines.
  • Monitor data integrity and ensure consistency across systems.

6. Documentation & Best Practices
  • Prepare technical specifications for data ingestion, transformations, and analytical outputs.
  • Maintain documentation for consent data definitions, lineage, and rules.
  • Contribute to analytics standards, templates, and agile best practices.

7. Agile Collaboration
  • Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives).
  • Work cross-functionally with engineering, product, legal, and marketing teams.

Required Skills & Qualifications
Education & Experience
  • Bachelor's degree in Computer Science, Data Analytics, Statistics, Engineering, or related field.
  • 4-6+ years of experience in data analysis, preferably in privacy/consent or regulated domains.

Technical Skills
Core Analytics
  • Advanced SQL for querying, transformation, and performance optimization.
  • Strong data profiling and data quality assessment techniques.
  • Experience with data modeling (dimensional modeling, ERD).

Data Platforms & Tools
  • Experience with cloud platforms (AWS preferred: S3, Redshift, Glue).
  • Exposure to DBT or similar transformation tools (nice-to-have).
  • Knowledge of ETL/ELT pipelines and data integration concepts.

Programming & Automation
  • Python (basic to intermediate) for data analysis and automation (preferred).
  • Familiarity with APIs and data connectors is a plus.

Consent & Privacy Expertise
  • Understanding of consent management platforms (OneTrust or similar).
  • Knowledge of privacy regulations:
    • GDPR
    • CCPA
  • Understanding of consent data structures, opt-in/opt-out logic, and lawful data usage.

Data Governance & Quality
  • Knowledge of data lineage, metadata management, and governance frameworks.
  • Experience implementing data quality rules and validation techniques.

Soft Skills
  • Strong problem-solving and analytical thinking.
  • Excellent communication and stakeholder management.
  • Ability to work independently and collaboratively in Agile environments.
  • Detail-oriented with strong documentation skills.

Nice-to-Have Skills
  • Experience with consent data in marketing/CRM ecosystems.
  • Exposure to CI/CD practices and version control.
  • Familiarity with change data capture (CDC) concepts.

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

Social media