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Query Processing Jobs in Michigan (NOW HIRING)

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... BI/Query, SAP Business Objects, Tableau, and Power BI. · Strong experience with dashboard ... Will close submissions on: 3/3 at 10am EST Interview Process: MS Teams Video Interviews Duration: 1 ...

P2PSoftTek Inc

AWS Support Engineer

Detroit, MI · On-site

... processes and assist with deployment validations during off-hours maintenance windows - Identify ... supporting Snowflake, including query monitoring, warehouse management, and task/pipe ...

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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 are popular job titles related to Query Processing jobs in Michigan?

For Query Processing jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Query Processing jobs in Michigan look for?

The top searched job categories for Query Processing jobs in Michigan are:

What cities in Michigan are hiring for Query Processing jobs?

Cities in Michigan with the most Query Processing job openings:

Query Processing jobs near you

Senior Clinical Data Manager (Remote - US)

MMS

Canton, MI • On-site

Full-time

Posted 2 days ago

New

Job description

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
 
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
Roles and Responsibilities:
  • Confidently displays excellent internal and external customer service.
  • Has proficiency and knowledge of multiple EDC systems; applies this knowledge to advise customers regarding the best-fit EDC solution.
  • Interacts directly and independently with DM suppliers including EDC and/ or IWR; expert communicator, where necessary negotiating with supplier to meet business needs.
  • Interacts directly and independently with client to coordinate all facets of projects; expert communicator; builds and maintains strong client contacts and relationships.
  • Responsible for entire data management process from study set-up to study close-out; primary contact on all data management study-specific issues; has high-level knowledge of drug development as it pertains to data management.
  • Actively participates in protocol review with clients, providing suggestions regarding ability to capture protocol information in database successfully.
  • Strong understanding of GCP/ ICH guidelines and FDA regulations, as applicable to data management.
  • Creates training exercises; serves as mentor and trains new clinical data managers.
  • Provides oversight and resolves all issues in data management study processing activities including CRF tracking and data entry, integration of external electronic data (e.g., lab data) with clinical database, data validation and review, query processing and resolution, adverse event and medication coding, SAE reconciliation, database lock and database QC audits.
  • Oversees and develops data management study documentation including Case Report Forms, CRF Completion Guidelines, Database Design via annotated CRFs, Validation specifications (edit checks), and Data Management Plan.
  • Preparation of any study tracking and metric reports for use by the study team.
  • Oversees execution of user acceptance testing (UAT) of study-specific systems and applications.
  • Interacts with cross-functional team members to ensure completion of all timelines and studies.
  • Participates in data management and/or organizational initiatives.
  • Initiates SOP updates and provide specifications for DM systems/ tools and process enhancements.
  • May act as resource for QC activities in collaboration with QC Coordinator.
  • Understands and follows processes related to project management as appropriate for data management projects (e.g., updating PSS, close-out procedures, etc.).
  • Confident, positive attitude displayed towards clients and projects.
  • Willingness to learn new skills and expand knowledge of drug development.
  • Leads data management projects with little management oversight.
  • Ability to work independently and resolve issues.
  • Ability to clearly articulate the DM services offered at company, including pros and cons of various DM approaches (specific to a client or operating model). To include potential attendance at (web or remote) capabilities and bid defense meetings.
Requirements:
  • Bachelor’s or Master’s Degree in scientific or health care field preferred with industry or relevant experience.
  • 5+ years’ experience in data management field with a minimum of 1 year of experience leading projects.
  • Extensive knowledge of paper CRF study systems, EDC, and hybrid CDM systems.
  • Extensive knowledge of Clinical Operations SOPs and Working Practices.
  • Excellent verbal and written communication skills, as well as, interpersonal and organizational skills.

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About M. M. S.

Sourced by ZipRecruiter

Industry

Pharmaceutical and medicine manufacturing

Company size

1 - 10 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1980

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