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Remote Data Analyst Side Jobs in Tennessee (NOW HIRING)

Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling ... Remote employees must be based in the United States.

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

The role will report to the Director of Implementations & Integrations and is a remote work ... Works with the HR, Integration & Payroll teams to consolidate data models and drive harmonization ...

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Remote Data Analyst Side information

What are some common challenges faced by remote data analysts, and how can they be effectively addressed?

Remote data analysts often face challenges such as limited access to immediate team collaboration, potential data security concerns, and managing time across different time zones. To overcome these, it's important to leverage communication tools like Slack or Microsoft Teams for regular check-ins, use secure VPNs and follow company data protocols, and establish clear work schedules with your team. Proactively seeking feedback and maintaining organized documentation can also help ensure smooth workflow and effective collaboration.

What is the difference between Remote Data Analyst Side vs Remote Data Analyst?

AspectRemote Data Analyst SideRemote Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in Excel, SQL, Python/RBachelor's or higher in Data Science, Statistics, or related; similar technical skills
Work EnvironmentPart-time, freelance, or side projects; flexible hoursFull-time or part-time; employed by companies or clients
Employer & Industry UsageFreelance platforms, startups, consulting firmsCorporations, consulting agencies, research firms

The main difference is that a Remote Data Analyst Side typically works on freelance or part-time projects, offering flexibility, while a Remote Data Analyst is usually employed full-time or part-time by organizations. Both roles require similar skills and credentials, but their work settings and commitments differ.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are available as fully remote positions, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and visualization software from anywhere. Remote work often requires strong communication skills and self-discipline, and some employers may specify certain time zone requirements or remote work policies.

What is a remote data analyst side?

A remote data analyst side job involves working part-time or as a freelancer to analyze data for organizations, all while working from a location outside the traditional office. Responsibilities typically include collecting, cleaning, and interpreting data to help businesses make informed decisions. This role allows professionals to leverage their analytical skills in a flexible setting, often outside of their primary job or commitments. Remote data analyst side jobs are ideal for those seeking additional income or experience without the constraints of a full-time, in-office position. Common industries hiring for these roles include marketing, finance, healthcare, and technology.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in a quantitative field such as mathematics or computer science. Familiarity with data analysis tools and programming languages such as SQL, Python, R, and platforms like Tableau or Power BI is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills set top remote analysts apart. These skills are essential for extracting actionable insights from data and effectively collaborating with distributed teams to support business decisions.
What are the most commonly searched types of Data Analyst Side jobs in Tennessee? The most popular types of Data Analyst Side jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Analyst Side jobs? Cities in Tennessee with the most Remote Data Analyst Side job openings:

IT Director, Master Data Management (Remote)

Highline Warren

Memphis, TN • Remote

Full-time

Posted 23 days ago


Highline Warren rating

7.3

Company rating: 7.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

64th of 100 rated chemical manufacturers


Job description

Summary

We are seeking a remote IT Director, Master Data Management, to lead and mature our enterprise MDM practice. This is a high-impact role that blends hands-on technical depth with strategic leadership, owning the MDM platform roadmap, data governance framework, golden record strategy, and team performance. The Director will set data management standards, mentor a team of MDM product owners, technical leads, and analysts, and remain close enough to the work to guide complex data modeling decisions, troubleshoot data quality issues, and drive architectural alignment with enterprise IT standards.

The ideal candidate is equally proficient in presenting a multi-domain MDM strategy to senior leadership and rolling up their sleeves to review match-merge logic, define survivorship rules, or resolve critical data quality incidents. This role partners with C-level executives, business partners, and external suppliers to ensure the business is satisfied with the MDM approach and methodology, delivering a single, trusted view of product, customer, and vendor data across the enterprise.

Key Responsibilities

Hands-On Technical Leadership

  • Serve as the senior technical authority on enterprise master data management, maintaining deep working proficiency in EnterWorks and MDM design patterns including data modeling, match-merge configuration, survivorship rules, and golden record creation.

  • Personally engage in the design and review of complex, high-risk, or cross-domain MDM solutions to ensure data quality, scalability, and alignment with enterprise architecture standards.

  • Define and enforce MDM architecture standards including data domain modeling, hierarchy management, entity resolution patterns, data quality rules, and environment-promotion workflows.

  • Lead root-cause analysis on critical master data quality failures and guide the team toward durable resolution, including remediation of duplicate records, orphaned entities, and cross-system inconsistencies.

Data Governance & Stewardship

  • Develop, implement, and maintain MDM policies, standards, and procedures to support business goals and regulatory compliance requirements.

  • Establish and oversee data governance strategies for product, customer, and vendor data domains, including data ownership, stewardship roles, and accountability frameworks.

  • Define and monitor key performance indicators (KPIs) for data quality, integrity, completeness, and availability across all master data domains.

  • Oversee data stewardship activities and provide guidance to business users on master data processes, change workflows, and approval protocols.

  • Champion the adoption of a business glossary and metadata management practices to ensure common data definitions and business rules across the enterprise.

Strategic Direction & Roadmap

  • Define and own the multi-year MDM platform strategy and technology roadmap, aligned with enterprise architecture principles and business growth objectives.

  • Evaluate emerging MDM technologies, data governance tools, and vendor offerings; make build-vs-buy recommendations with supporting business cases.

  • Lead strategic planning, roadmap development, and operational planning for the MDM function, including domain prioritization and phased rollout plans.

  • Partner with Enterprise Architecture, Integration, Data & Analytics, Application, and Security teams to ensure MDM solutions support the broader technology portfolio.

  • Represent the MDM function in IT governance forums, architecture review boards, steering committees, and other forums as needed.

Business Partnership & Satisfaction

  • Collaborate with IT, business units, and external partners to identify data quality issues, understand business data needs, and drive remediation efforts.

  • Act as the primary liaison between business stakeholders and the MDM team, ensuring the MDM approach and methodology meets business expectations and delivers measurable value.

  • Support major projects and initiatives requiring master data expertise, including acquisitions, system migrations, and edge application implementations, and other projects and enhancements.

  • Facilitate data governance council meetings and cross-functional working sessions to align MDM priorities with business strategy.

Delivery Framework & Execution

  • Establish and continuously improve the MDM delivery framework encompassing intake, estimation, prioritization, sprint planning, testing, deployment, and post-go-live support.

  • Ensure the team follows a consistent SDLC methodology (Agile/Scrum preferred) with well-defined Definition of Ready and Definition of Done for MDM work items.

  • Own release management practices for the MDM platform, coordinating with DevOps/CI-CD pipelines and environment management.

  • Drive adoption of automation in data quality monitoring, data profiling, and data validation to increase velocity and reduce manual effort.

Team and Vendor Performance, Reporting & Resource Management

  • Report on team delivery metrics to IT and business leadership, including throughput, cycle time, backlog health, data quality scorecards, and team utilization.

  • Manage resource capacity planning: balance incoming demand against team availability, flag risks early, and recommend staffing or outsourcing adjustments.

  • Maintain visibility into the MDM backlog; prioritize work in collaboration with business stakeholders and the PMO to maximize value delivery.

  • Conduct regular 1:1s, performance reviews, and career development conversations; build a high-performing, engaged MDM team.

  • Own vendor relationship including sourcing, contracting, and ensuring timely, high quality deliverables.

  • Plans, recruits, hires, and on-boards strong talent to build and sustain a best-in-class MDM team.

  • Prepare executive-level status reports, dashboards, and presentations summarizing MDM program health and strategic progress.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related discipline.

  • 10+ years of progressive experience in master data management, data governance, or data management, with at least 5 years in a people-leadership role (Manager or above).

  • Hands-on expertise with enterprise MDM platforms (e.g., EnterWorks, Informatica MDM, Reltio, Profisee, or comparable solutions).

  • Strong knowledge of MDM design patterns including multi-domain data modeling, match-merge and entity resolution, survivorship logic, hierarchy management, and golden record creation.

  • Demonstrated understanding of data governance frameworks, data stewardship models, and data quality management practices.

  • Experience managing MDM technologies and ensuring integration with ERP, CRM, and other enterprise business systems (e.g., SAP, Oracle, Salesforce, or similar).

  • Strong proficiency in SQL and relational databases (SQL Server, Oracle, Snowflake, or similar).

  • Experience working in a hybrid (on-premises and cloud) infrastructure environment.

  • Experience with Agile/Scrum development methodology.

  • Proven ability to manage team capacity, report on delivery metrics, and communicate effectively with both technical and executive audiences.

Preferred Qualifications

  • Master’s degree or MBA.

  • Certifications in data management or governance (e.g., CDMP – Certified Data Management Professional, DGSP – Data Governance & Stewardship Professional).

  • Experience establishing or maturing data governance programs, including data governance councils, RACI matrices for data ownership, and business glossary initiatives.

  • Familiarity with data quality and profiling tools for monitoring and enforcing data standards.

  • Experience with data warehousing platforms (Snowflake, Redshift) and analytics pipelines (dbt, Sigma, Tableau).

  • Working knowledge of integration platforms (e.g., Informatica IICS) and how MDM interacts with enterprise integration and data pipelines.

  • Experience with IT portfolio and project management tools such as Jira and/or Confluence.

  • Track record of vendor management, including SOW negotiation, partner delivery oversight, and third-party resource integration.

  • Background in manufacturing, distribution, or B2B industries is a strong plus.

Key Competencies

  • Technical
    • MDM architecture & multi-domain data modeling
    • MDM platform expertise (EnterWorks & comparable)
    • Golden record design & survivorship logic
    • Data governance frameworks & stewardship
    • Data quality management & profiling
    • SQL, data modeling & entity resolution
    • ERP/CRM system integration knowledge
  • Leadership & Management
    • Strategic thinking & roadmap ownership
    • Team building, coaching & mentorship
    • Stakeholder communication & executive reporting
    • Delivery framework design & continuous improvement
    • Capacity planning & resource management
    • Vendor & partner management
    • Cross-functional collaboration & influence

What Highline Warren employees say

Pay

Benefits

Hours and flexibility

Workplace

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