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After Query Jobs in Georgia (NOW HIRING)

Mujin

Senior Backend Developer (Cloud Automation)

Suwanee, GA · On-site

$112K - $145K/yr

Own PostgreSQL schema design, query optimization, index tuning, and deep performance profiling ... month after hiring! * 100% Company Paid Life Insurance & Voluntary Benefits * 100% Company Paid ...

SBM Management

Utility Tech

Gainesville, GA

$15 - $16/hr

Clean up of work area after installation. * Track and report time spent on work orders. * Hang ... Initiates system query and clarifies proper selection of item with requestor as necessary.

SBM Management

Utility Tech

Flowery Branch, GA

$15 - $16/hr

Clean up of work area after installation. * Track and report time spent on work orders. * Hang ... Initiates system query and clarifies proper selection of item with requestor as necessary.

SBM Management

Utility Tech

Oakwood, GA

$15 - $16/hr

Clean up of work area after installation. * Track and report time spent on work orders. * Hang ... Initiates system query and clarifies proper selection of item with requestor as necessary.

SBM Management

Utility Tech

Braselton, GA

$15 - $16/hr

Clean up of work area after installation. * Track and report time spent on work orders. * Hang ... Initiates system query and clarifies proper selection of item with requestor as necessary.

SBM Management

Utility Tech

Gainesville, GA · On-site

$15 - $16/hr

Clean up of work area after installation. * Track and report time spent on work orders. * Hang ... Initiates system query and clarifies proper selection of item with requestor as necessary.

Westrock

Sr. Anlst, Pricing & Est

Atlanta, GA · On-site

Proficiency in Microsoft Office, including advanced Excel (pivot tables, Power Query, complex ... Candidates are required to undergo a drug screening after receiving a conditional job offer, but ...

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All JobsAfter Query JobsAfter Query Jobs in Georgia

After Query information

What is the difference between After Query vs Data Analyst?

AspectAfter QueryData Analyst
Required CredentialsTypically requires a basic understanding of database querying, often with certifications like SQL certificationRequires strong analytical skills, proficiency in SQL, Excel, and data visualization tools, often with a degree in data science, statistics, or related fields
Work EnvironmentPrimarily works in database environments, often within IT or database teamsWorks across departments, analyzing data to support business decisions in various industries
Employer & Industry UsageUsed mainly in IT, database management, and software companiesCommon in finance, marketing, healthcare, and consulting firms

While both roles involve working with data, After Query focuses on executing database queries to retrieve information, whereas Data Analysts interpret and analyze data to provide insights for decision-making.

What are the key skills and qualifications needed to thrive as an After Query, and why are they important?

I'm sorry, but 'After Query' does not appear to be a recognized professional job title. Please provide a valid job title.

What are some common challenges faced by professionals in After Query roles, and how can they be addressed?

In After Query roles, professionals often encounter challenges such as managing high volumes of post-query follow-ups, ensuring timely and accurate responses, and maintaining clear communication between departments. Balancing multiple requests while adhering to company policies requires strong organizational skills and attention to detail. Building effective workflows and leveraging customer relationship management (CRM) tools can help streamline processes and enhance collaboration with team members, ultimately improving the customer experience.

What are After Query jobs?

After Query jobs typically refer to roles that involve analyzing, interpreting, and acting upon data results obtained after running database queries. These positions are common in data analytics, business intelligence, and IT, where professionals review query outputs to generate reports, provide insights, or inform business decisions. The job may include tasks such as validating data, ensuring query accuracy, and collaborating with stakeholders to communicate findings. Strong analytical skills and proficiency with SQL or other query languages are often required. These roles are vital for organizations that rely on data-driven decision-making.

Which 3 jobs will survive AI?

Jobs in healthcare, such as nurses and medical practitioners, are likely to persist due to the need for human judgment and empathy. Skilled trades like electricians and plumbers will also remain in demand because their work requires physical presence and hands-on problem-solving. Additionally, roles in education and training will continue to be essential for personalized instruction and mentorship.
What are popular job titles related to After Query jobs in Georgia? For After Query jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching After Query jobs in Georgia look for? The top searched job categories for After Query jobs in Georgia are:
After Query jobs near you
Infographic showing various After Query job openings in Georgia as of May 2026, with employment types broken down into 64% Full Time, 23% Part Time, and 13% Contract. Highlights an 96% In-person, and 4% Remote job distribution.
AI & Analytics Innovation Senior Product Specialist

AI & Analytics Innovation Senior Product Specialist

Deloitte

Atlanta, GA • On-site

Other

Posted 19 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside Strategy & Transactions team members as they assist clients in navigating new challenges, avoiding financial pitfalls, and delivering practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Senior Product Specialist to be a part of this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months. The work we do is real, with a real impact on the world. Join us!
Recruiting for this role ends on 6/21/2026
Work You'll Do
As part of the team, you will deliver decision-ready analytics and rapidly prototype AI-powered tools across Strategy & Transactions engagements. You will:
  • Frame high-value business questions, define KPIs, and develop hypotheses that drive actionable analysis for deal teams and clients.
  • Assess data sources, evaluate quality and feasibility, and define minimum viable datasets to support rapid analytics delivery.
  • Rapidly build proof-of-value prototypes and MVPs-including dashboards, predictive models, segmentation analyses, and AI-enabled analytics-using real client data.
  • Apply reusable frameworks, templates, and accelerators to compress delivery timelines and reduce project risk.
  • Establish lightweight data governance, metric definitions, and documentation to ensure solutions are sustainable beyond initial delivery.
  • Prepare handoff packages-including requirements, code, architecture plans, and delivery roadmaps-for longer-term implementation teams.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The Team
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions.


Qualifications
Required:
  • Bachelor's degree and 2+ years of experience in analytics, data science, or consulting.
  • 2+ years experience using Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for visualization or similar libraries).
  • 2+ years experience using applied modeling: e.g., regression/classification, tree-based models (random forest, GBMs), clustering/segmentation, and time-series forecasting basics.
  • 2+ years experience using Structured Query Language (SQL) for data extraction and transformation (CTEs, window functions, query readability).
  • 2+ years experience with Git and collaborative workflows (PRs, code review, reproducibility).
  • Experience using LLMs and AI-assisted development in day-to-day work: coding with AI assistants, using APIs for data collection, and integrating AI into analytical workflows.
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available
Preferred:
  • Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
  • Experience communicating analytical insights through dashboards or visualizations using Tableau, Power BI, or Python visualization libraries.
  • Experience producing reliable reporting datasets: basic pipeline thinking, refresh schedules, data quality validation.
  • Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
  • Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
  • Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
  • Experience collaborating across teams, coaching junior staff, and influencing others in a project-based environment.
  • Degree in Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences, or another quantitative field.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside Strategy & Transactions team members as they assist clients in navigating new challenges, avoiding financial pitfalls, and delivering practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
The AI & Analytics Center of Excellence within Strategy & Transactions is looking for a Senior Product Specialist to be a part of this incredible team. This role focuses on rapid analytics and AI prototyping, building proof-of-value solutions in weeks rather than months. The work we do is real, with a real impact on the world. Join us!
Recruiting for this role ends on 6/21/2026
Work You'll Do
As part of the team, you will deliver decision-ready analytics and rapidly prototype AI-powered tools across Strategy & Transactions engagements. You will:
  • Frame high-value business questions, define KPIs, and develop hypotheses that drive actionable analysis for deal teams and clients.
  • Assess data sources, evaluate quality and feasibility, and define minimum viable datasets to support rapid analytics delivery.
  • Rapidly build proof-of-value prototypes and MVPs-including dashboards, predictive models, segmentation analyses, and AI-enabled analytics-using real client data.
  • Apply reusable frameworks, templates, and accelerators to compress delivery timelines and reduce project risk.
  • Establish lightweight data governance, metric definitions, and documentation to ensure solutions are sustainable beyond initial delivery.
  • Prepare handoff packages-including requirements, code, architecture plans, and delivery roadmaps-for longer-term implementation teams.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The Team
The AI & Analytics CoE acts as a rapid analytics development engine supporting Strategy & Transactions engagements by building prototypes and MVP analytics solutions that inform critical business decisions.


Qualifications
Required:
  • Bachelor's degree and 2+ years of experience in analytics, data science, or consulting.
  • 2+ years experience using Python for analytics and modeling (e.g., Pandas, NumPy, scikit-learn; stats models for inference/forecasting; Plotly/Matplotlib for visualization or similar libraries).
  • 2+ years experience using applied modeling: e.g., regression/classification, tree-based models (random forest, GBMs), clustering/segmentation, and time-series forecasting basics.
  • 2+ years experience using Structured Query Language (SQL) for data extraction and transformation (CTEs, window functions, query readability).
  • 2+ years experience with Git and collaborative workflows (PRs, code review, reproducibility).
  • Experience using LLMs and AI-assisted development in day-to-day work: coding with AI assistants, using APIs for data collection, and integrating AI into analytical workflows.
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available
Preferred:
  • Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift) and/or Spark (e.g., Databricks/EMR).
  • Experience communicating analytical insights through dashboards or visualizations using Tableau, Power BI, or Python visualization libraries.
  • Experience producing reliable reporting datasets: basic pipeline thinking, refresh schedules, data quality validation.
  • Strong foundation in statistics (confidence intervals, regression interpretation, bias/variance intuition) and evaluation discipline (train/test splits, cross-validation, leakage awareness, appropriate metrics).
  • Familiarity with dbt, Airflow, or equivalents and data quality tooling/practices.
  • Familiarity with financial concepts and interest in relevant offerings (Strategy, M&A, Sustainability, etc.).
  • Experience collaborating across teams, coaching junior staff, and influencing others in a project-based environment.
  • Degree in Computer Science, Statistics, Mathematics, Economics, Finance, Engineering, Natural Sciences, or another quantitative field.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:Bachelor's DegreeEmployment Type:

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