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Looker Developer Jobs in Acworth, GA (NOW HIRING)

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Query and analyze data using Looker and SQL from internal databases * Collaborate with Data ... Collaborate with a senior team of data scientists and engineers * Contribute to cutting-edge work ...

Launch Potato

Staff Data Scientist, Marketing

Atlanta, GA · Hybrid

$175K - $200K/yr

Collaborative: Leans on ML engineering for the last mile rather than working solo * Coachable ... Familiarity with Looker TOTAL COMPENSATION Base salary is set according to market rates for the ...

Launch Potato

Lead Data Scientist, AdTech

Atlanta, GA · Hybrid

$175K - $200K/yr

Collaborative: Leans on ML engineering for the last mile rather than working solo * Coachable ... Familiarity with Looker TOTAL COMPENSATION Base salary is set according to market rates for the ...

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker) * AWS (S3, Glue, EMR ... Fine-tuning, prompt engineering, and optimization strategies * Establish MLOps and LLMOps ...

Reserv, Inc.

Sr. Data Analyst - Transport

Atlanta, GA · On-site +1

$82K - $104K/yr

... our engineering and operations teams. If you are ready to help shape the vision for Reserv ... Python (Pandas to NLTK), Postgres/dbt, Looker, Excel, etc. * Lead client calls through technical ...

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Looker Developer information

What are some common challenges faced by Looker Developers, and how can they be successfully managed?

Looker Developers often encounter challenges such as transforming complex business requirements into efficient Looker dashboards, ensuring data accuracy, and managing evolving datasets. Staying updated with the latest Looker features and best practices for LookML can help address technical hurdles, while proactive communication with business users is key to clarifying requirements. Collaboration with data engineers and analysts is typically necessary when troubleshooting data quality or modeling issues. By maintaining an organized workflow and seeking ongoing training, Looker Developers can navigate these obstacles and deliver valuable analytics solutions.

What is a Looker Developer?

A Looker Developer is a data professional responsible for designing, developing, and optimizing data models, dashboards, and reports using Looker, a business intelligence (BI) and data visualization tool. They work closely with data analysts, engineers, and business stakeholders to translate data into actionable insights. Their tasks often include writing LookML, optimizing SQL queries, and ensuring data accuracy and performance. Looker Developers help organizations make data-driven decisions by creating user-friendly visualizations and scalable data solutions.

What are the key skills and qualifications needed to thrive as a Looker Developer?

To thrive as a Looker Developer, you need expertise in data modeling, SQL, business intelligence concepts, and experience with the Looker platform. Familiarity with tools like LookML, version control systems, and possibly certifications such as Looker Business Analyst or Developer are highly valued. Strong problem-solving abilities, clear communication, and a collaborative mindset are important soft skills in this role. These skills are crucial to effectively transform raw data into actionable insights and support decision-making for diverse business stakeholders.

What cities near Acworth, GA are hiring for Looker Developer jobs? Cities near Acworth, GA with the most Looker Developer job openings:
Looker Developer jobs near you
Infographic showing various Looker Developer job openings in Acworth, GA as of August 2026, with employment types broken down into 70% Full Time, 16% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Data Science Analyst

Harver

Atlanta, GA • On-site

$82K - $104K/yr

Full-time

Re-posted 11 days ago

Job description

About Harver
Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company's portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work.
At Harver, we are:
  • Transparent: We believe in fostering an open, honest, and accountable environment where information flows freely and clearly.
  • Collaborative: We embrace the power of collaboration and recognize that every individual brings unique strengths to the table.
  • Curious: We embrace curiosity as a driving force for continuous learning and innovation.

Job Overview:
We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries.
This role focuses on the end-to-end execution of outcome studies-from client data intake and matching through analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights.
In this role you get to:
Client Data Management
  • Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)
  • Clean and standardize diverse data formats from enterprise HRIS and ATS systems
  • Match client candidate records with Harver assessment data with high accuracy
  • Troubleshoot data quality issues and communicate data requirements to clients
  • Document data specifications and maintain data integrity throughout analysis lifecycle

Predictive Validity & Outcome Analysis
  • Execute concurrent & predictive validity studies using established statistical frameworks
  • Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data
  • Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)
  • Perform disparate impact analyses to ensure assessment fairness
  • Generate client-ready reports and visualizations communicating technical findings to business stakeholders

Technical & Collaboration
  • Query and analyze data using Looker and SQL from internal databases
  • Collaborate with Data Scientists on methodology refinement and framework improvements
  • Support Client Success teams with technical questions and ad-hoc analyses
  • Maintain analysis documentation and contribute to team knowledge base
  • Present findings to internal stakeholders and client-facing teams
  • Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions
  • Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future

We're looking for people who have:
  • 5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting
  • Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets
  • Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)
  • Experience applying machine learning models as a user (model scoring, interpretation, validation)
  • Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)
  • SQL proficiency for data extraction and transformation
  • Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.
  • Strong communication skills-ability to explain technical concepts to non-technical audiences
  • Excellent attention to detail and commitment to data accuracy
  • Self-directed work style with ability to manage multiple client projects simultaneously

Preferred
  • Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)
  • Familiarity with psychometric concepts (validity, reliability)and experience evaluating adverse impact
  • Experience in HR analytics or workforce analytics
  • Experience with BI tools (Looker, Tableau, Power BI, or similar)
  • Background working with enterprise clients or in client-facing analytical roles
  • Knowledge of EEOC guidelines and employment law considerations in assessment validation

Why Join Harver:
  • Work with Fortune 500 clients on high-impact talent decisions
  • Collaborate with a senior team of data scientists and engineers
  • Contribute to cutting-edge work in AI-driven talent assessment
  • Opportunity to grow into more strategic or technical roles

Location:
Preference for candidates based on the East Coast, with strong preference for Atlanta, GA, Chicago, IL and New Jersey.
Reporting Structure:
This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.

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