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Data Management Jobs in Georgia (NOW HIRING)

Develop and deploy data governance and data management concepts, frameworks and operating models * Collaborate with business and technical stakeholders to activate and use data management tools (i.e ...

Develop and maintain Data Management Plans (DMPs), CRFs, edit check specifications, and other essential documents. * Oversee database build. * Testing, validation, and UAT processes in EDC systems

Develop and maintain Data Management Plans (DMPs), CRFs, edit check specifications, and other essential documents. * Oversee database build. * Testing, validation, and UAT processes in EDC systems

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

This position requires deep technical expertise in data management combined with strategic thinking and strong leadership skills to guide the evolution of our data platform supporting mission ...

Areas of specialization consist of public health research; data analysis and management; infectious disease modeling (Excel macros and decision tree); epidemiology; disease & outbreak investigations ...

New

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Data Management information

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$26.2K

$82K

$145.2K

How much do data management jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data management in Georgia is $82,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $106,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

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

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What skills are needed for data management?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database tools, data governance policies, and data quality standards to support business operations and decision-making.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What are the most commonly searched types of Data Management jobs in Georgia? The most popular types of Data Management jobs in Georgia are:
What are popular job titles related to Data Management jobs in Georgia? For Data Management jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Data Management jobs? Cities in Georgia with the most Data Management job openings:
Infographic showing various Data Management job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,027 per year, or $39.4 per hour.

SR Reporting Analyst, Data Management

BoehringerPRD

Johns Creek, GA

$79K - $100K/yr

Other

Posted 6 days ago


Job description

Description

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

The Sr. Reporting Analyst, Data Management plays a critical role in enabling data-driven decision-making by partnering closely with business stakeholders to translate data into actionable insights. This role operates at the intersection of business and data, working with diverse and evolving datasets while engaging stakeholders to understand requirements, shape reporting solutions, and deliver meaningful insights that drive business performance.

This is a hands-on, collaborative role ideal for someone who enjoys working with both data and people - bringing structure to complex data and clarity to business questions.

Duties & Responsibilities

Data Curation & Business Insights

  • Curate and prepare datasets to support business reporting and analytical needs.
  • Develop dashboards, reports, and analytical outputs that provide clear and actionable insights.
  • Identify trends, opportunities, and risks to support strategic and operational decisions.
  • Partner with stakeholders to define and refine KPIs, metrics, and performance views.
  • Ensure outputs align with how the business views performance across accounts, products, and channels.

Reporting Solutions & Data Enablement

  • Work with structured and unstructured data from multiple sources (e.g., Excel, databases, reporting tools)
  • Profile, clean, and standardize data to ensure accuracy, consistency, and usability
  • Develop proof-of-concept analyses and reporting views to demonstrate insight potential.
  • Translate findings into clear requirements for scalable reporting and data solutions.
  • Collaborate with data engineering teams to operationalize reporting datasets and pipelines.

Stakeholder Engagement & Business Translation

  • Partner with cross-functional stakeholders (sales, commercial excellence, finance) to understand business objectives, challenges, and reporting needs.
  • Gather, document, and refine business requirements for reporting and analytics solutions.
  • Translate business questions into data requirements, analytical approaches, and reporting outputs.
  • Act as a trusted advisor by providing data-driven recommendations to support decision-making.
  • Build strong working relationships and proactively engage stakeholders to align priorities and outcomes.

Collaboration & Ways of Working

  • Work closely with data engineers and product teams to deliver high-quality, scalable reporting solutions.
  • Participate in agile ceremonies (stand-ups, backlog refinement, sprint reviews).
  • Support testing, validation, and continuous improvement of reporting outputs and data pipelines.
  • Drive improvements in reporting processes, data quality, and stakeholder communication.
Requirements
  • Bachelor's degree in Data Analytics, Statistics, Information Systems, Business, Computer Science, or related field.
  • 5+ years of experience in a data analyst, reporting analyst, or BI analyst role or Master's degree with 3+ years of relevant experience.
  • Strong attention to detail, documentation discipline, and comfort working through ambiguity.
  • Solid communication skills; able to explain data issues and logic to both technical and non-technical partners.
  • Proven ability to gather and translate business requirements into reporting and analytical solutions.

Preferred Skills:

  • Experience with BI/visualization tools (Power BI, Tableau, Alteryx, etc.).
  • Strong data manipulation skills (SQL, Excel; Python or R is a plus).
  • Experience working with commercial, retail, or pharma data.
  • Familiarity with cloud data platforms (AWS, Snowflake, or similar).
  • Experience with data validation, UAT, and QA processes.

Eligibility Requirements:

  • Must be legally authorized to work in the United States without restriction.
  • Must be willing to take a drug test and post-offer physical (if required).
  • Must be 18 years of age or older.