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About Us:

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

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Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

As the Data Analyst, Strategic Insights & Visualization you will play a dual role within our data organization: you will be the primary storyteller for our business performance, but you will also be a hands-on technical practitioner responsible for the integrity of our reporting suite. You won’t just build dashboards; you will define the metrics that drive our strategy. Whether it’s untangling a complex business logic request, auditing data quality in our Power BI apps, or partnering with business leaders to prioritize their roadmaps, you will lead with data. If you are a proactive problem-solver who loves to turn raw numbers into actionable business narratives, this is the role for you.

Responsibilities

Technical Execution

• Reporting & Visualization: Act as the primary resource for building and maintaining Power BI reports and dashboards. Personally manage the end-to-end deployment of Power BI Apps, ensuring high performance and intuitive user experiences.
• Metric Logic: Write and optimize the SQL and DAX required for complex business logic. Work with the data engineering team to pull the necessary data across source systems. Take ownership of metric definitions to ensure consistency across all departments, from ERP inventory tracking to Ecommerce sales performance.
• Support & Triage: Manage the support queue for reporting incidents. Investigate data discrepancies, perform root cause analysis on quality issues, and ensure that our "source of truth" remains accurate and trusted by the organization.

Leadership & Operations

• Data Governance: Lead the development and maintenance of the enterprise data dictionary and business glossary. Ensure that all technical terms are translated into clear business language for non-technical stakeholders.
• Quality Control: Define and implement data quality rules and readiness scoring. Monitor data freshness and completeness, proactively alerting the engineering team when pipelines impact reporting SLAs.
• Security & Access: Help define access control and data security within the reporting environment, ensuring that users have the appropriate permissions and that sensitive data is protected according to company standards.

Stakeholder Collaboration

• Business Liaison: Act as the primary bridge between the data team and business leaders. Translate vague requests ("we need better inventory insights") into clear technical requirements and prioritized project milestones.
• Domain Prioritization: Participate in quarterly planning to sequence requests for Ecommerce, ERP, and Operations. Collaborate with the AI/ML team to prioritize use cases and define KPIs for advanced analytics initiatives.
• Self-Service Enablement: Conduct work sessions with business users to promote BI tool adoption and empower departments to perform their own ad-hoc analysis.

Experience, Skills, & Ability Requirements

• Bachelor’s degree in Business Analytics, Statistics, Information Systems, or equivalent professional experience
• 3+ years of hands-on experience in a Data Analyst or Business Intelligence role, preferably supporting Ecommerce or Retail operations.
• Proven track record of translating complex business requirements into robust, automated analytic reports and dashboards.
• Strong SQL skills and the ability to write complex queries to extract and transform data
• Proven proficiency in Power BI and DAX; experience managing Power BI service, workspaces, and app deployments.
• Strong understanding of data modeling concepts, specifically Star Schema and dimensional design.
• Experience with Microsoft Fabric or the Azure data stack.
• Proactive attitude toward data quality and a "details-matter" mindset when auditing reports.
• Excellent communication skills with the ability to explain complex data trends to executive stakeholders.
• Familiarity with Tableau.
• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Experience modeling datasets (such as inventory, sales, or web performance) to identify trends, correlations, and performance gaps.
• Knowledge of basic Python for advanced forecasting or data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

Title : Data QA Engineer

Location: Minneapolis , Dallas , Atlanta (Onsite)

Job Type : Contract

Exp : 8-15 Years

Key Responsibilities:

• Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.
• Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.
• Implement data quality checks and monitoring within Azure-based data platforms.
• Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.
• Integrate data quality validations into CI/CD pipelines and support proactive issue detection.
• Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.
• Define and enforce data quality standards, metrics, and SLAs.

Required Skills & Qualifications:

• Strong experience (8–15 years) in data engineering, data quality, or data automation roles.
• Hands-on expertise with Azure data ecosystem and Databricks.
• Strong programming skills in Python and SQL.
• Experience building automated data validation and reconciliation frameworks.
• Solid understanding of data warehousing, data lakes, and distributed data processing.
• Familiarity with DevOps/CI-CD practices for data platforms.

Preferred Skills:

• Experience with data observability or data quality tools.
• Exposure to cloud-scale analytics and performance optimization.
• Strong communication and stakeholder management skills.