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Sr. Engineer, Data & Analytics

Lovesac Company · Remote - Stamford, CT
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Remote - Stamford, CT
languages
python, sql
tools
excel, spark
> stack
pythonsqlexcelsparkpyspark
> description

About Lovesac

We are a young-at-heart, fast-growing furniture company, dedicated to helping people fill their homes with Total Comfort™. We do this by designing and innovating furniture solutions that are adaptable, washable, expandable, and delivered right-to-your-door-able, allowing our customers to live the life they want to live.

Our Designed for Life mission started with Sacs, a seat so much better than your classic beanbag made with repurposed Durafoam and designed to reduce environmental impact while providing unimaginable, cloud-like comfort. From there, we expanded the possibility for sustainable furniture with Sactionals, a customizable modular sectional that can be endlessly rearranged to evolve with you. Our product line has grown a lot since our Sacs days, but our goal will always remain the same – to create truly adaptable, comfortable furniture that can be with you for life.

 

About our Culture

At Lovesac, we strive to be an employer of choice by embodying a culture that encourages team members to think and dream big. We call this Top Ambition. We aim to not only excel within our industry but also make a meaningful impact on the world. Above all else, we’re driven by love (because it matters) and are dedicated to promoting love and happiness in all aspects of our work. It’s about success, of course, but it’s also about making a positive impact on everyone our business touches.

 

About the Role

As our Sr. Engineer, Data & Analytics, you will build both the data foundation and the analytics on top of it—designing and scaling the pipelines, models, and Power BI solutions that turn raw data into trusted, actionable insight across Lovesac’s business. Working primarily in Microsoft Fabric, you will engineer end-to-end data flows (ingestion, transformation, and modeling) and deliver high-impact Power BI dashboards and semantic models that support customer experience, store performance, merchandising, supply chain, and omnichannel growth.

 

You’ll partner closely with Data Engineering, Technology, Merchandising, Marketing, Store Operations, Supply Chain, and Corporate teams to ensure data is trusted, accessible, and decision-ready for both corporate and field leaders. This role blends deep technical expertise with strong business acumen and a passion for enabling data-driven decisions.

 

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT. Candidates must fully reside in the United States at all times during employment and should have the ability to travel as needed.

 

What You’ll Do

Power BI Engineering & Analytics Delivery

  • Design, develop, and maintain scalable, high-performance Power BI dashboards, reports, and apps aligned to business needs.
  • Build and optimize Power BI semantic models, leveraging best practices in data modeling, DAX, and performance tuning.
  • Translate complex business questions into intuitive, easy-to-use visualizations that drive insight and action.
  • Partner with stakeholders to define requirements, success metrics, and reporting standards.

Data Engineering & Pipelines (Microsoft Fabric)

  • Design, build, and maintain scalable data ingestion and ETL/ELT pipelines in Microsoft Fabric (Data Factory pipelines, Dataflows Gen2, and Spark notebooks) to land data from source systems into OneLake.
  • Develop and optimize Lakehouse and Warehouse solutions in Fabric, applying a medallion (bronze/silver/gold) architecture with Delta/Parquet to produce clean, reliable, analytics-ready data.
  • Write efficient transformation logic in SQL, Python, and PySpark, and tune Spark and warehouse workloads for performance and cost.
  • Orchestrate, schedule, and monitor pipelines end-to-end, building proactive alerting and error handling so data-refresh failures are caught and resolved before they reach the business.
  • Connect the engineering layer directly to Power BI using Direct Lake and well-structured star schemas, minimizing data movement and duplication.

Data Modeling & Integration

  • Own and shape source data models, ETL/ELT logic, and data pipelines—partnering with Platform and Data Engineering—to support reliable, governed reporting.
  • Ensure analytics solutions are built on clean, well-structured, and governed data.
  • Identify opportunities to improve data quality, usability, and scalability across reporting layers.
  • Establish governed, reusable data products in OneLake that serve as a single source of truth across Power BI and downstream analytics.

Analytics Enablement & Adoption

  • Act as a trusted analytics partner to business teams, guiding them on how to interpret and use insights effectively.
  • Ensure dashboards and reports are actionable, clearly documented, and optimized for ongoing adoption.
  • Embed insights into day-to-day decision-making across corporate and field teams.

Governance, Standards & Best Practices

  • Establish and follow Power BI standards for modeling, visualization, performance, and security.
  • Implement row-level security (RLS) and follow data privacy and governance requirements.
  • Maintain consistent definitions, metrics, and reporting logic to ensure a single source of truth.
  • Apply source control and CI/CD using Git integration and Fabric deployment pipelines to promote changes safely across development, test, and production.
  • Manage workspace access, sensitivity labels, and data governance across Fabric and Power BI (e.g., Microsoft Purview) to keep data secure and compliant.

Continuous Improvement & Innovation

  • Stay current on Power BI, Microsoft Fabric, and analytics best practices.
  • Identify opportunities to enhance existing dashboards, automate reporting, and introduce advanced analytics capabilities.
  • Serve as a technical mentor and thought partner to others across analytics and data teams.

Measurement & Impact

  • Ensure analytics solutions drive measurable business impact, adoption, and decision quality.
  • Track usage, performance, and effectiveness of dashboards to continuously improve value delivery.
  • Partner with stakeholders to ensure insights translate into meaningful action.

 

Perform any other reasonable duties for this role as requested by managemen

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