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Data Optimization Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and source data optimization initiatives.

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$107K - $186K/yr

Redefining mobility requires quality data, metrics, and analytics, as well as insightful ... Evaluate and fine-tune models for performance optimization, accuracy, and efficiency. Contribute ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$107K - $186K/yr

... optimized for NLP applications. 6. Writing complex queries to join structured and unstructured data sources. 7. Creating ETL processes for text data, optimizing query performance for large text ...

Perfect Afternoon

SEO Specialist

Pleasant Ridge, MI · On-site

Salary: $70000 SEO Specialist Perfect Afternoon seeks a talented, analytical SEO Specialist passionate about search, data, and digital growth. We want to hear from you if you have a strong ...

Perfect Afternoon

SEO Specialist

Pleasant Ridge, MI · On-site

$70K/yr

SEO Specialist Perfect Afternoon seeks a talented, analytical SEO Specialist passionate about search, data, and digital growth. We want to hear from you if you have a strong understanding of ...

Dentsu Aegis Network

Senior Associate, SEO

Detroit, MI · On-site

$62K - $81K/yr

Analyze organic search, turning data and technical findings into clear insights and recommended ... Experience with local SEO * Strong understanding of technical SEO, onpage optimization, search ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, developing proficiency in data analysis typically requires ongoing practice, real-world experience, and understanding of statistical concepts, which may extend beyond three months for full competency.

What is a data optimization job?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and decision-making. Professionals in this role often use tools like SQL, Python, or data management software and require strong analytical skills to identify areas for improvement in data systems.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually depending on experience and industry. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, they do not fully replace the need for human judgment, domain expertise, and interpretative skills essential to the role of a data analyst.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Michigan? The most popular types of Data Optimization jobs in Michigan are:
What are popular job titles related to Data Optimization jobs in Michigan? For Data Optimization jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in Michigan look for? The top searched job categories for Data Optimization jobs in Michigan are:
Data Optimization jobs near you

Data / BI Architect

Tech Tammina LLC

Pontiac, MI • On-site

$63.25 - $81.50/hr

Contractor

Posted 9 days ago

Job description

Role: Data / BI Architect

Location: Pontiac, MI

Work Schedule: Hybrid On-site/Remote (This is a hybrid role and will require someone in office 2 days per week)
Duration: 12 Months+

Rate: Market

  • Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and source data optimization initiatives.
  • Develops conceptual, logical, and physical data models and architectures.
  • Provides metadata strategies and data integration design.
  • Provides technical infrastructure design and implements scalable and data architectures that support business objectives.
  • Develop, test, and maintain data pipelines, ETL processes, and data integration solutions.
  • Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
  • Collaborate with business functions to design, develop, and deploy artificial intelligence and machine learning solutions to enhance business processes, as well as drive data-driven decision-making and innovation.

Environment: MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS, Crystal Reports XI, SAP, Business Objects, Informatica, Trillium, Snowflake, Microsoft Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.