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Data Cleaning Jobs in Decatur, GA (NOW HIRING)

CharterUP

Data Analyst

Atlanta, GA

$70K - $75K/yr

Collect, clean, and organize large datasets from multiple sources (e.g., databases, APIs, spreadsheets) for both one-off data requests and recurring reports. * Perform data analysis to identify ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

... clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems • Work with management to prioritize business and information needs • Locate ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA

... clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and ...

Apex Informatics

Data Analyst

Atlanta, GA · On-site

Identify, compile, and 'clean' data for research projects * Identify, analyze, and interpret trends or patterns in complex data sets * Oversee evaluation and research projects * Communicate the ...

CharterUP

Data Analyst

Atlanta, GA · On-site

$70K - $75K/yr

Collect, clean, and organize large datasets from multiple sources (e.g., databases, APIs, spreadsheets) for both one-off data requests and recurring reports. * Perform data analysis to identify ...

Alt

Data Engineer

Atlanta, GA · On-site +1

$155K - $165K/yr

Partner with internal teams to understand data usage patterns and ensure pipelines deliver clean, standardized data that meets product requirements. This is a perfect fit if you... * Care deeply ...

brs

Data Manager

Atlanta, GA · On-site

... cleaning, documenting, consolidating, archiving, and transferring of data in various files formats. 2. Provide data management support to by posting of data in various file formats and locations.

4pconsultinginc

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Combine raw data from multiple sources into clean, structured, machine-readable datasets * Implement transformations using Spark, SQL, and ETL/ELT tools * Normalize and model relational and ...

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All JobsData Cleaning JobsData Cleaning Jobs in Decatur, GA

Data Cleaning information

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in data cleaning, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

Can Chatgpt do data cleaning?

Data cleaning is a task performed by data analysts and data scientists, often using tools like Excel, Python, or specialized software. ChatGPT can assist by providing guidance, code snippets, or suggestions for cleaning data, but it cannot directly perform data cleaning tasks itself. Human oversight and technical skills are required to execute data cleaning processes effectively.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What are popular job titles related to Data Cleaning jobs in Decatur, GA? For Data Cleaning jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Data Cleaning jobs in Decatur, GA look for? The top searched job categories for Data Cleaning jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Cleaning jobs? Cities near Decatur, GA with the most Data Cleaning job openings:
Data Cleaning jobs near you
Infographic showing various Data Cleaning job openings in Decatur, GA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Technical Product Manager, Data and Internal Products

Career Renew

Atlanta, GA

$180K - $230K/yr

Full-time

Medical, PTO

Re-posted 17 days ago

Job description

Career Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.
We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others.

We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics.


What will you be doing?

  • Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems.

  • Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services.

  • Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs.

  • Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements.

  • Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.

Key Requirements

  • 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred.

  • Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake).

  • Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.

  • Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems.

  • Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies.

Tech stack
Spark, Databricks, BigQuery, Snowflake

Requirements:

5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory)

Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory)

At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory)

Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory)

Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory)

Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory)

Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have)

Located and authorized to work in the United States. (Mandatory)

Why you should join

Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities.

$85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway.

Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider.

Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents.

Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.