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Senior Data Associate Jobs in Decatur, GA (NOW HIRING)

Online Senior Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. The Sr Data Engineer position ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

Senior Research/Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Title: Senior Research/Data Analyst Location: Atlanta, GA PRIMARY DUTIES AND RESPONSIBILITIES ... Associate's degree in a related field from an accredited college or university AND Four years of ...

The Senior Developer, Item Data, serves as the technical authority for the lifecycle of product ... to associate developers, developers and contractors. Direct Manager/Direct Reports: * Position ...

Online Sr Data Engineer (SEO) - Onsite

Atlanta, GA · On-site

$108K - $130K/yr

These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. The Sr Data Engineer position ...

Sr. Decision Analyst, Experimentation

Atlanta, GA · On-site

$81K - $103K/yr

Position Purpose: Decision Analytics associates produce insights that answer key enterprise ... The Senior Decision Analyst monitors transformation of data and works with appropriate technology ...

Associate's degree in a related field from an accredited college or university AND Four years of ... data from organizational and/or other institutional databases Required 5 Years Strong analytical ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a ...

Showing results 21-40

Senior Data Associate information

What is a senior data associate?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do senior data associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.

What are the key skills and qualifications needed to thrive as a senior data associate, and why are they important?

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What is the difference between Senior Data Associate vs Data Analyst?

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

What job categories do people searching Senior Data Associate jobs in Decatur, GA look for?

The top searched job categories for Senior Data Associate jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Senior Data Associate jobs?

Cities near Decatur, GA with the most Senior Data Associate job openings:

Online Senior Data Engineer

Home Depot

Atlanta, GA • On-site

$108K - $130K/yr

Full-time

Posted 11 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,448 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
Online Data Engineer teams at The Home Depot translate business requirements and build the infrastructure needed to capture customer data. They acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information. Additionally, they build, test, and maintain database pipeline architectures. They create new data validation methods and data analysis tools. Data Engineers develop application programming interfaces (APIs) to retrieve data. Our Data Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence through monitoring, continually testing, and validating the products we support. These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
The Sr Data Engineer position creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
Key Responsibilities:
  • 20% - Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage.
  • 30% - Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team.
  • 35% - Solution Development - Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation.
  • 15% - Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Seek further knowledge on key developments within advanced analytics, technical skill sets, and additional data sources; Participate in the continuous improvement of predictive and prescriptive analytics by developing replicable solutions.

Direct Manager/Direct Reports:
  • This Position typically reports to Manager or Above.
  • This role has 0 direct reports.

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • 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.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be 18 years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience.
  • 5+ years of relevant work experience
  • Demonstrated experience in predictive modeling, data mining and data analysis
  • Demonstrated experience developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, writing automation scripts, and supporting the pipelines in production
  • Experience in high-level programming languages such as Python
  • Experience defining and capturing metadata and rules associated with ETL processes
  • Experience building Batch and Streaming pipelines
  • Prior direct experience writing analytical SQL queries and performance-tuning queries
  • Ability to stich and maintain data from multiple sources
  • Ability to use JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose)
  • Ability to produce tags for site data
  • Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources
  • Proven ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelines
  • Ability to optimize the pipelines run time and lower the cost on slots/storage consumption
  • Ability to prioritize requests and manage a product roadmap
  • Coaching junior engineers to help improve their code, best practices, and understanding of data engineering principles.
  • Strong verbal and written communications skills at all levels

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.

Minimum Years of Work Experience:
  • 4

Preferred Years of Work Experience:
  • 5

Minimum Leadership Experience:
  • No previous leadership experience

Preferred Leadership Experience:
  • No previous leadership experience

Certifications:
  • None

Competencies:
  • Action Oriented
  • Collaborates
  • Drives Engagement
  • Communicates Effectively
  • Customer Focus
  • Drives Results
  • Manages Conflict

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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