Databricks Genie

Databricks Genie Jobs

2 jobs found

Today

Senior Data Analyst, Hardware & Supply Chain

Oura San Francisco, CA

San Francisco, CA

Today

$148k - $203k/yr Full time Senior Analyst Analytics

Apply Now

Job Description

Senior Data Analyst for Hardware and Supply Chain analytics at Oura, focused on hardware manufacturing, supply chain metrics, and related analytics on a Databricks-based platform, collaborating with Operations, Supply Chain, Finance, and Data Engineering.

Responsibilities

Own the analytics layer for the hardware and supply chain scorecard and partner with Operations, Supply Chain, and Finance to define, document, and deliver KPIs used in board and S-1 reporting (hardware revenue, units sold, sell-through, COGS, landed cost, gross margin, on-hand and in-transit inventory, warranty rate, return/RMA rate, activation rate).
Establish each hardware and supply chain KPI as a governed data product with locked definitions, a single owner, dbt tests, full lineage from source systems, formal sign-off, and a documented change-management process.
Build and maintain the hardware data contract and the canonical hardware dimension that ties SKUs, components, ring generations, sizes, and finishes to downstream sales, inventory, and activation metrics.
Serve as the analytics representative in external audit cycles by producing documentation, guiding auditors through lineage, and ensuring controls and traceability are reflected in metric production.
Migrate hardware and supply chain reporting from legacy stacks to a Databricks-based platform with dbt-modeled metrics, Unity Catalog lineage, and Databricks SQL / Genie as the executive-facing surface.
Coordinate with ERP, manufacturing, logistics, and e-commerce source-system owners (NetSuite, contract-manufacturer feeds, 3PL/logistics data, Zuora) and Data Engineering to ensure clean ingestion, accurate dimensional modeling, and clear lineage from purchase orders to sell-through and activation.
Resolve data quality issues to ensure end-to-end trust in reporting.
Build and maintain the Hardware/SC domain data products in Databricks, mentoring analysts on dimensional modeling, dbt practices, and publishing governed metrics for reporting and for MCP/agentic AI consumption.
Partner with Supply Chain and Operations on demand and supply planning data, owning the Databricks-side data layer that feeds planning and ensuring reconciled numbers across regions.
Deliver inventory, fulfillment, and supplier analytics (days of supply, fill rate, on-time delivery, yield, scrap, cost-to-serve) to provide Operations leadership with a single trusted view.
Drive adoption of self-service reporting by Operations and business partners using Genie, Databricks SQL dashboards, and clear documentation to reduce one-off reporting.
Continuously evaluate tools (Unity Catalog, Databricks Genie, AI-assisted SQL/modeling with Cursor and Claude Code, semantic layers) to improve productivity and accuracy in hardware and supply chain reporting.

Requirements

7+ years in analytics, business intelligence, or a related data-focused role, with at least 3+ years supporting Hardware, Supply Chain, Operations, Manufacturing, or Logistics.
Proven experience building executive-level reporting for a physical-product business that earns trust from leadership and endures external scrutiny (Board, auditors, investors).
Deep knowledge of hardware and supply chain data domains: units sold and sell-through, COGS and landed cost, BOM and component costing, inventory (on-hand, in-transit, days of supply), warranty and RMA/returns, manufacturing yield, and how transactional systems (NetSuite/ERP, contract-manufacturer feeds, 3PL, e-commerce platforms) feed into reported metrics.
Hands-on experience with demand and supply planning data and a clear understanding of where planning systems meet the data lake.
Fluent in SQL with a track record of writing complex queries for operational and financial data extraction, reconciliation, and modeling.
Expertise in dimensional modeling for hardware and operations reporting (conformed dimensions across SKU, product generation, channel, geo, supplier; slowly changing dimensions for product and cost hierarchies; period-over-period comparisons).
Experience with dbt, including tests, documentation, exposures, and contracts.
Experience with Databricks strongly preferred (Unity Catalog, Databricks SQL, Lakeflow, Genie); deep Snowflake experience acceptable with willingness to migrate.
Experience with modern BI tools (Tableau, Looker, Databricks SQL Dashboards, Power BI) and an informed view on when each is appropriate.
History working with external auditors (PwC, Deloitte, EY, KPMG) and producing documentation that stands up to audit review.
Excellent verbal and written communication skills—able to briefing leaders on numbers and explaining data behind them to analysts.
Thrives in a fast-paced, collaborative global environment spanning factories, warehouses, and offices across time zones.

Technologies

dbt, Unity Catalog, Databricks, Databricks SQL, Genie
Snowflake, Tableau, Looker, Power BI
SQL, Lakeflow, Cursor, Claude Code
AWS, GitHub, NetSuite, Fivetran
Python, Zuora, Sheets

Benefits

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends and family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave

What Makes You Stand Out

Familiarity with adjacent tooling and sources: AWS, GitHub, NetSuite/ERP, Fivetran, Python, semantic layers, EDI/3PL logistics feeds, and contract-manufacturer data integrations.
Experience establishing a hardware data contract and a product/SKU dimension (dim_hardware) from scratch in a high-growth consumer hardware company.
Proven ability to build governed KPI programs through formal external audits, including COGS, inventory, and units-sold reconciliation.
Strong data visualization theory sense—knowing how to pick the right chart for the right message and why dashboards fail when misapplied.

Compensation

Salary ranges by region:

Region 1 $172,000 - $203,000
Region 2 $158,950 - $187,000
Region 3 $147,900 - $174,000
A recruiter will determine your zone based on your US location.

View full job page →

3d ago

Data Engineer I (AWS, Databricks)

Travelers Hartford, CT

Hartford, CT

3d ago

$109k - $180k/yr Full time AWS Business Intelligence Cloud

Apply Now

Job Description

Travelers is expanding its Data Engineering team in Hartford, CT, where data professionals design, build, and deploy solutions on AWS and Databricks to support AI and machine learning initiatives as well as enterprise intelligence. The Data Engineer I role focuses on creating scalable data products and pipelines that empower analytics across the organization. This onsite position invites collaboration with cross-functional teams to translate data into actionable insights while growing your expertise in data engineering.

Responsibilities

Build and operationalize complex data solutions, fix problems, apply transformations, and propose data cleansing and quality approaches.
Design data solutions and architectures.
Analyze data sources to determine value and identify data to include in analytical workflows.
Incorporate core data management capabilities including governance, security, and quality.
Collaborate within and across teams to support delivery and educate end users on data products and analytic environments.
Perform data and system analysis, assess defects and incidents of moderate complexity, and implement appropriate corrections.
Test data movement, transformation code, and data components.
Perform other duties as assigned.

Requirements

Bachelor’s degree in a STEM-related field or equivalent.
Six years of related experience.
Strong data engineering fundamentals with hands-on experience designing, building, and optimizing data pipelines.
Proficient with cloud platforms and modern data technologies, including AWS: Lambda functions, EventBridge, Step Functions, DynamoDB, Athena; Databricks: Notebooks, Jobs, Unity Catalog, Genie; and concepts such as Autoloader, streaming, and near real-time data processing.
Experience with AI tools and concepts (for example Claude) and familiarity with developer productivity tools like GitHub Copilot.
Comfortable using engineering and DevOps tools such as Jira, GitHub, Snyk, ServiceNow, and Autosys.
Proficient programming skills and a solid understanding of software engineering practices including testing, CI/CD, and version control.
Ability to deliver work at a steady, predictable pace, break down complex tasks into incremental releases, and participate in trade-off discussions.
Demonstrated domain expertise with the ability to quickly understand technical concepts and develop deep knowledge of supported systems.
Strong problem-solving and debugging skills, including root-cause analysis in unfamiliar codebases and resolving recurring issues.
Excellent verbal and written communication skills and the ability to collaborate effectively with team members, partners, and stakeholders.
Intermediate leadership skills with a track record of self-motivation, ownership, and a commitment to continuous learning and personal growth.
Two additional years of software or data engineering experience.

Technologies

AWS: Lambda functions, EventBridge, Step Functions, DynamoDB, Athena
Databricks: Notebooks, Jobs, Unity Catalog, Genie
Autoloader, streaming, near real-time data processing concepts
Claude (AI tools) and GitHub Copilot
Jira, GitHub, Snyk, ServiceNow, Autosys

Benefits

Health Insurance
401(k) match
Pension Plan funded by Travelers
Paying it Forward Savings Program
Paid Time Off
Wellness Program
Matching Gift and Volunteer Rewards program

Compensation

Base salary range: $109,300 - $180,200 per year. Final compensation is determined by factors including the scope and complexity of the role, location, and the candidate's skills, education, credentials, and experience.

About Travelers

Travelers is an equal opportunity employer that values the unique abilities and talents each person brings to the organization. The company has sustained a strong presence in the property and casualty insurance industry for more than 170 years and emphasizes a culture of innovation and collaboration, guided by the Travelers Promise to take care of customers, communities, and one another.

View full job page →

Databricks Genie Jobs

Senior Data Analyst, Hardware & Supply Chain

Data Engineer I (AWS, Databricks)

Get Databricks Genie Jobs alerts