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Senior Data Analyst Startup Jobs in Georgia (NOW HIRING)

Home Depot

Sr. Data Analyst - Supply Chain

Atlanta, GA · On-site

$81K - $103K/yr

A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among ...

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

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 ...

Iresh Technologies

Sr. Oracle SQL Data Analyst

Atlanta, GA · On-site

$83K - $105K/yr

We have an exciting opportunity for a Sr. Oracle SQL Data Analyst with one of our State Government clients. Based on your background, I believe this role aligns well with your experience. Position ...

New

Coca-Cola

Data Analyst

Atlanta, GA

Within this team, the Senior Manager, Data ValueArchitectureand Insights is a key role focused on ensuring that data, analytics, and artificial intelligence initiatives deliver measurable, meaningful ...

The Coca-Cola Company

Data Analyst

Atlanta, GA · On-site

Within this team, the Senior Manager, Data Value Architecture and Insights is a key role focused on ensuring that data, analytics, and artificial intelligence initiatives deliver measurable ...

Apex Informatics

Senior Research/Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Senior Research/Data Analyst Location: Atlanta, GA PRIMARY DUTIES AND RESPONSIBILITIES Perform job responsibilities with minimal supervision Extract primary data from Oracle Database with the use of ...

ARC Group

Sr. Data Scientist

Atlanta, GA · On-site

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Align with SMEs to outline analytic requirements and devising the analytics that meet the ...

Stord

Senior Data Analyst, Labor Operations

Atlanta, GA · On-site

This role sits in Stord's Data team and owns the analytics product layer for our Labor Management ... You'll get exposure to all levels of Stord up to and including our Senior Leadership team * Tech ...

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Senior Data Analyst Startup information

What are the key skills and qualifications needed to thrive as a senior data analyst at a startup?

To thrive as a Senior Data Analyst at a startup, you need advanced data analysis skills, expertise in statistics, and a strong foundation in SQL and data modeling, typically supported by a relevant degree. Proficiency with tools like Python or R, data visualization platforms (e.g., Tableau or Power BI), and familiarity with cloud data warehouses (such as BigQuery or Snowflake) are commonly required. Strong problem-solving, adaptability, and communication skills make analysts stand out by enabling them to translate complex data insights into actionable business strategies. These abilities are crucial for driving data-informed decisions and agile growth in the fast-paced, resource-constrained startup environment.

What does a senior data analyst do at a startup?

A Senior Data Analyst at a startup is responsible for collecting, processing, and analyzing large sets of data to help drive strategic business decisions. They work closely with different teams to identify key metrics, create dashboards, and generate actionable insights that can influence product development, marketing, and overall company growth. Unlike larger organizations, analysts at startups often wear many hats, taking on tasks ranging from data engineering to presenting findings to leadership. This role requires a strong mix of technical skills, business acumen, and adaptability to the fast-paced, constantly changing startup environment.

What are some common challenges senior data analysts face when working in a startup environment?

Senior Data Analysts in startups often encounter challenges such as working with limited or rapidly evolving datasets, adapting to shifting business priorities, and establishing best practices where processes may still be forming. The fast-paced nature of startups can mean frequent changes in project direction, requiring analysts to be highly adaptable and proactive in communicating insights to both technical and non-technical stakeholders. Additionally, Senior Data Analysts may take on broader responsibilities, including mentoring junior team members and helping to shape the startup's data strategy.

What is the difference between Senior Data Analyst Startup vs Data Scientist?

AspectSenior Data Analyst StartupData Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; experience in analytics toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming skills
Work EnvironmentStartups, fast-paced, focus on analytics and reportingTech companies, research labs, focus on modeling and algorithm development
Employer & Industry UsageStartups across various sectors, emphasizing data-driven decisionsTech firms, research institutions, emphasizing predictive modeling

While both roles involve data analysis, Senior Data Analysts in startups focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms to extract deeper insights. The roles overlap in skills but differ in scope and complexity.

What are the most commonly searched types of Data Analyst Startup jobs in Georgia?

The most popular types of Data Analyst Startup jobs in Georgia are:

What cities in Georgia are hiring for Senior Data Analyst Startup jobs?

Cities in Georgia with the most Senior Data Analyst Startup job openings:

Senior Data Analyst Startup jobs near you

Sr. Data Analyst - Supply Chain

Home Depot

Atlanta, GA • On-site

$81K - $103K/yr

Full-time

Re-posted 9 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,428 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:
A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists.
Key Responsibilities:
  • 30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
  • 20% Executes existing reporting and analytical responsibilities
  • 20% Ensures the quality of work output by displaying a keen attention to detail
  • 20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture
  • 10% Develops additional technical competencies and subject matter expertise within core functional group

Direct Manager/Direct Reports:
  • This position reports to Manager or Sr Manager
  • This position has no Direct Reports

Travel Requirements:
  • Typically requires overnight travel less than 10% 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 eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • 2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
  • An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)
  • Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)
  • Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)
  • B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.
  • Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.

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:
  • No additional education

Minimum Years of Work Experience:
  • 2

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
  • An unquenchable intellectual curiosity for getting at the underlying story being told within the data.
  • Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
  • Superior interpersonal skills and ability to collaborate actively and work in a team environment.
  • Ability to quickly learn and adapt to new technologies, tools, and techniques.

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 and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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