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Weekend Remote Data & Analytics Jobs in Sarasota, FL

SimpleTiger

PPC Manager (Remote)

Sarasota, FL · Remote

Analyze performance data to identify trends, diagnose issues, uncover growth opportunities, and ... Compensation & Benefits * 100% remote work environment * Results-oriented work environment

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Weekend Remote Data Analytics information

See Sarasota, FL salary details

$23

$52

$91

How much do weekend remote data & analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for weekend remote data & analytics in Sarasota, FL is $52.76, according to ZipRecruiter salary data. Most workers in this role earn between $42.40 and $59.76 per hour, depending on experience, location, and employer.

Do data analysts work weekends?

Data analysts working remotely often have flexible schedules, but their work typically follows standard business hours during weekdays. Weekend work may be required occasionally for urgent projects or deadlines, depending on the employer and project needs. Overall, weekend work is not a regular expectation for most data analyst roles.

Is it possible to get a remote job as a weekend remote data & analytics professional?

Yes, it is possible to find remote data and analytics roles that offer weekend or flexible schedules, especially in freelance or contract positions. These roles often require strong skills in data analysis, tools like SQL or Python, and the ability to work independently outside traditional business hours.

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Weekend Remote Data Analytics jobs near you

Data Architect

Sarasota, FL • Remote

Resource Consultings Services Inc
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Resource Consultings Services Incexternal

$65.25 - $84/hr

Contractor

Retirement

Re-posted 9 hours ago

Job description

Role: Data Architect 

Location: Sarasota, FL (Remote)


Duration: 12+ month C2H

Role Summary

The Data Architect is responsible for designing, governing, and overseeing the end-to-end data architecture required to successfully migrate participant, plan, transactional, compliance, and historical recordkeeping data from the FIS Relias platform to the FIS FRP platform.

This role ensures that data integrity, regulatory compliance, reconciliation accuracy, retention requirements, and downstream integrations are maintained throughout the migration lifecycle.

The Data Architect serves as the primary authority for:

  • Data mapping
  • Canonical data structures
  • Conversion strategy
  • Data governance
  • Reconciliation architecture
  • Historical data retention
  • Integration alignment
  • Data quality standards

Primary Responsibilities

Migration Data Strategy

  • Define enterprise migration data strategy for Relias-to-FRP conversion
  • Establish authoritative data sources and systems of record
  • Determine active vs archived data migration scope
  • Define historical retention approach
  • Create phased migration and cutover data strategies

Data Modeling & Mapping

  • Develop logical and physical migration data models
  • Define source-to-target data mappings
  • Resolve data transformation requirements
  • Normalize participant, employer, payroll, loan, and investment data
  • Define metadata and lineage standards

Data Governance

  • Establish migration data governance controls
  • Define data quality rules and validation thresholds
  • Ensure ERISA, SEC, IRS, SOC1/SOC2, and audit support requirements are met
  • Define retention and archival standards
  • Coordinate legal/compliance retention obligations

Reconciliation & Validation

  • Design reconciliation frameworks for:
    • Participant balances
    • Payroll contributions
    • Loan balances
    • Vesting
    • Investment elections
    • Historical transactions
  • Define balancing and exception management processes
  • Establish conversion certification criteria

Integration Architecture

  • Coordinate with:
    • Payroll systems
    • Custodians
    • CRM platforms
    • Data warehouses/lakehouses
    • Compliance systems
    • Reporting environments
  • Define migration interface dependencies

Risk & Issue Management

  • Identify migration data risks
  • Resolve source data inconsistencies
  • Manage duplicate, orphaned, or incomplete records
  • Support mock conversions and dress rehearsals

Deliverables

  • Migration Data Strategy
  • Source-to-Target Mapping Documents
  • Canonical Data Model
  • Data Retention & Archival Plan
  • Reconciliation Framework
  • Data Quality Rules Matrix
  • Conversion Validation Plan
  • Data Lineage Documentation
  • Cutover Data Readiness Reports

Required Skills & Experience

Functional

  • 401(k) recordkeeping operations
  • Participant transaction processing
  • Payroll contribution processing
  • Financial reconciliation
  • Retirement plan compliance

Technical

  • Data architecture and modeling
  • ETL/conversion tools
  • SQL and large-scale data analysis
  • Data governance frameworks
  • API and batch integration architectures

Preferred

  • FIS Relias experience
  • FIS FRP experience
  • Retirement industry data migration experience
  • Microsoft Fabric/Snowflake/Azure experience