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Query Processing Jobs in Michigan (NOW HIRING)

Application Developer

Troy, MI · On-site

$70 - $90/hr

Modify and support web applications, background processes, scheduled jobs, APIs, web services, and ... query optimization. * Experience supporting existing production applications and resolving ...

Sr .Net Developer

Detroit, MI

$54.50 - $69.25/hr

... processes Learn and share new technology practices as they pertain to business needs Maintain ... design Query design and optimization plus stored procedures Experience with Microsoft SQL ...

$87K - $120K/yr

Design & optimize stored procedures, functions, triggers, and packages; analyze query execution ... interview process, perform essential job functions, or access other benefits and privileges of ...

Modify and support web applications, background processes, scheduled jobs, APIs, web services, and ... query optimization. * Experience supporting existing production applications and resolving ...

Modify and support web applications, background processes, scheduled jobs, APIs, web services, and ... query optimization. * Experience supporting existing production applications and resolving ...

Perform data conversions for clients coming from other processors. * Keep up to date on the latest ... Well-versed in RPG III, CLP, DDS, Query. * Knowledge of other computer systems and data storage ...

Perform SQL analysis, query optimization, database performance tuning, and root cause analysis (RCA ... Initiate preventative and continuous improvement actions relating to product, process and quality ...

Showing results 21-40

Query Processing information

What is query processing?

Query processing refers to the series of steps a database management system (DBMS) takes to interpret and execute a user's query. This process involves parsing the query, translating it into a suitable internal representation, optimizing it for efficient execution, and finally retrieving the requested data from the database. Effective query processing is crucial for ensuring fast and accurate results, especially in large and complex databases. It typically includes techniques like indexing, query rewriting, and using execution plans to improve performance.

What are the key skills and qualifications needed to thrive as a query processing specialist, and why are they important?

To thrive as a Query Processing Specialist, you need a solid understanding of database management, information retrieval, and data analysis, often supported by a degree in computer science or a related field. Familiarity with SQL, search algorithms, data warehousing solutions, and query optimization tools is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data needs and collaborate with stakeholders. These competencies are crucial for efficiently handling and optimizing queries to ensure accurate, timely access to data and support business decision-making.

How does a query processing professional typically collaborate with database administrators and software developers?

Query Processing professionals play a vital role in optimizing how databases handle and execute queries. They work closely with database administrators to analyze performance bottlenecks, suggest indexing strategies, and ensure efficient data retrieval. Collaboration with software developers is also common, as these professionals help design application queries that are both effective and resource-efficient. This teamwork ensures that end-users receive fast, accurate results while maintaining the stability and scalability of database systems.

What is the difference between Query Processing vs Data Analyst?

AspectQuery ProcessingData Analyst
Required CredentialsKnowledge of databases, SQL, and data retrieval techniquesDegree in statistics, data science, or related fields; SQL knowledge often required
Work EnvironmentDatabase systems, data warehouses, IT departmentsBusiness environments, analytics teams, reporting tools
Industry UsageIT, software development, database managementFinance, marketing, healthcare, and other sectors relying on data insights

Query Processing focuses on retrieving and managing data efficiently within databases, often involving technical skills like SQL and database management. Data Analysts interpret data, generate reports, and provide insights for decision-making. While both roles work with data, Query Processing is more technical and system-oriented, whereas Data Analysts focus on analysis and business applications.

What cities in Michigan are hiring for Query Processing jobs?

Cities in Michigan with the most Query Processing job openings:

North America Mopar Repair and Circular Economy Data Analytics Manager

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 5 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers


Job description

The MOPAR Repair Data Analytics Manager is responsible for the creation, management, and implementation of data tools to support sales analytics of Repair/Reman/Reuse vehicle parts to the North America aftermarket. This position will manage the beginning to end and on-going operations of this process. The role requires understanding and efficient management of business financials, supply chain, pricing, promotions/incentives, product release and bulletins as well as internal and external product catalogs. Daily collaboration with regional and global cross functional partners to ensure successful catalog implementation as well as revenue growth & adjusted operated incomes (AOI). Requires a sales-oriented individual that proactively drills down into the sales performance of products and provides guidance to improve sales and increase revenue. We are looking for a qualified individual with a diverse background, continuous improvement values, strong work ethic, and the ability to translate complex data into clear, actionable recommendations.
What You'll Do:
  • Collaborate with Product Line Managers, Engineering and Technical Service Operations (TSO) to identify, design, develop, and implement technical solutions in business intelligence reporting/analytics, business process management and process automation.
  • Manage the inclusion of new Reman parts within the respective Mopar catalogs; Star Parts, SAE, ACES/PIES, etc.
  • Validate vehicle usages for all Reman parts and ensure proper cataloguing for CJDR dealer network as well as independent repair facilities (IRFs).
  • Define, track, and report key metrics (e.g., catalog accuracy/completeness, usage validation rates, part adoption, and customer impact) using Power BI and related analytics tools.
  • Develop and maintain repeatable data pipelines and transformation logic (SQL/Python/Power Query) to support reporting, ad hoc analysis, and automation.
  • Establish data quality checks and governance practices (definitions, documentation, and validation routines) to ensure trusted catalog and usage data across systems.
  • Perform root-cause and trend analysis on catalog exceptions and field feedback; translate findings into prioritized corrective actions with Product Line Managers, Engineering, and TSO.
  • Create executive-ready dashboards and narratives that communicate insights, risks, and progress against targets; continuously refine reporting based on stakeholder needs.

Basic Qualifications:
  • Bachelor's degree or higher in Technology, Engineering, Marketing or related field
  • Minimum 8 years relevant experience and robust time management & process skills
  • Strong problem-solving skills with a design thinking approach, capable of developing innovative solutions to complex challenges
  • Excellent collaboration skills with and ability to work effectively with cross-functional teams to achieve common goals
  • Commitment to continuous learning and professional development with the ability to adapt to new challenges and technologies
  • Experience building and implementing process improvement technology solutions using:
  • Business intelligence reporting, analytics (Power BI /Qlik/Tableau, Streamlit, similar)
  • Cloud data platforms and transformation tools (Snowflake, AWS, Azure, SQL, Python, or similar)
  • MS Power Platform (Microsoft Suite, Power Query, Power Automate, Power Apps)
  • Generative AI (Snowflake Cortex, AWS, Microsoft Copilot Studio, or similar)
  • Team management, driving cooperation
  • Strong problem solving
  • Ability to influence and drive results

Preferred Qualifications:
  • Strong understanding of digital principles and agile methodologies
  • Ability to drive change and influence others
  • Experience with catalog tools

What Stellantis employees say

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Benefits

Hours and flexibility

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