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Overnight Databricks Jobs (NOW HIRING)

QuantumClean

Data Scientist

Phoenix, AZ

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio ... Overnight Travel: * Work may require out-of-town travel depending upon assignment (training and ...

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Overnight Databricks information

What is the difference between Overnight Databricks vs Data Engineer?

AspectOvernight DatabricksData Engineer
Primary FocusData processing, ETL workflows, and analytics using Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Work EnvironmentCloud-based, collaborative environment with Databricks platformOn-premises or cloud environments, often involving multiple tools
CredentialsKnowledge of Databricks, Spark, SQL, Python; certifications helpfulSQL, Python, cloud certifications, data modeling skills

Overnight Databricks roles focus on managing data workflows within the Databricks platform, often during off-hours for data processing. Data Engineers build and maintain the broader data infrastructure across various tools and environments. While both roles require similar technical skills, Overnight Databricks specialists are more platform-specific, whereas Data Engineers have a wider scope in data architecture.

More about Overnight Databricks jobs
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What are the most commonly searched types of Databricks jobs? The most popular types of Databricks jobs are:
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Overnight Databricks jobs near you
Infographic showing various Overnight Databricks job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 9% As Needed, 81% Full Time, 1% Part Time, 3% Contract, and 4% Nights. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.
Senior Analyst, Inside Sales Analytics & Reporting

Senior Analyst, Inside Sales Analytics & Reporting

White Cap Supply Holdings, LLC

Norcross, GA • On-site, Remote

$82K - $109K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

White Cap rating

7.2

Company rating: 7.2 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

6th of 13 rated diy builders merchants

Job description

A position at White Cap isn't your ordinary job. You'll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities.
The White Cap family is committed to Building Trust on Every Job. We do this by being deeply knowledgeable, fully capable, and always dependable, and our associates are the driving force behind this commitment.
Job Summary
Responsible for developing and maintaining sales datasets, reporting solutions, dashboards, and analyses that support sales performance management and commercial decision-making. Gathers, validates, and transforms data from multiple enterprise sources while building scalable reporting assets using Power BI and Databricks. Documents business logic and metric definitions, and investigates questions raised by sales leaders or identified through exploratory analysis.
Major Tasks, Responsibilities and Key Accountabilities
  • Builds, tests, and maintains sales datasets, dashboards, and reporting assets for recurring reporting, executive requests, and field sales decision-making.
  • Develops Power BI reports, semantic models, and self-service analytics experiences focused on clarity, usability, performance, and adoption.
  • Uses SQL, Databricks, Python, and related tools to extract, transform, validate, analyze, and automate sales data across source systems.
  • Validates transformations, calculations, metric definitions, and business logic to ensure outputs are accurate, reusable, and structured for downstream analysis.
  • Documents data definitions, reporting logic, limitations, quality checks, and process steps so users and analytics partners can understand and trust outputs.
  • Investigates questions brought forward by sales leaders or surfaced through exploratory analysis, including trends, risks, opportunities, outliers, productivity drivers, and performance patterns.
  • Performs ad hoc analyses and recurring reporting for planning, forecasting, territory strategy, customer growth, pipeline management, pricing, and executive business reviews.
  • Supports advanced analytics use cases, including segmentation, clustering, customer lifetime value, regression, forecasting, and propensity modeling, by preparing data, testing assumptions, interpreting outputs, and summarizing implications.
  • Monitors and troubleshoots data quality issues, including missing attributes, inconsistencies, logic errors, and anomalies that may impact reporting or analysis.
  • Works with Sales, Sales Strategy, Finance, Operations, IT, Data Services, and other partners to clarify requests, align on definitions, and deliver practical outputs.
  • Uses Databricks AI/BI, Power BI, generative AI, and other modern analytics tools where appropriate to accelerate analysis, prototyping, documentation, and insight generation.
  • Prepares clear summaries, dashboards, and presentations that connect analytical findings to business implications and next steps.
  • Performs other duties as assigned.

Nature and Scope
  • Identifies key barriers/core problems and applies problem solving skills in order to deal creatively with complex situations. Troubleshoots and resolves complex problems. Makes decisions under conditions of uncertainty, sometimes with incomplete information, that produce effective end results.
  • Independently performs assignments with instruction limited to the expected results. Determines and develops an approach to solutions. Receives technical guidance only on unusual or complex problems or issues.
  • May oversee the completion of projects and assignments, including planning, assigning, monitoring and reviewing progress and accuracy of work, evaluating results, etc. Contributes to employees' professional development but does not have hiring or firing authority.

Work Environment
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  • Typically requires overnight travel less than 5% of the time.

Education and Experience
  • Typically requires BS/BA in a related discipline. Generally 5-8 years of experience in a related field OR MS/MA and generally 3-5 years of experience in a related field. Certification is required in some areas.

Preferred Qualifications
  • Strong experience in hands-on analytics, business intelligence, reporting, and commercial functions such as sales operations or finance analytics.
  • Advanced Power BI expertise, including dashboard development, data modeling, DAX, visualization design, performance tuning, and stakeholder-facing reporting.
  • Advanced SQL skills with experience working across large, complex datasets in enterprise data environments.
  • Experience with Databricks or similar cloud-based analytics platforms for data transformation, exploration, modeling, and reporting support.
  • Proficiency in Python for data manipulation, automation, validation, and building repeatable analytical workflows.
  • Experience in data validation, cleansing, transformation, documentation, and governance, including metric definition and data quality standards.
  • Ability to investigate analytical requests, uncover insights through exploratory and advanced techniques (e.g., regression, forecasting, segmentation), and clearly communicate findings to technical and non-technical stakeholders.

If you're looking to play a role in building America, consider one of our open opportunities. We can't wait to meet you.

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