They are seeking a Business Intelligence Solutions Modeler/Designer to analyze, design, and manage data integration solutions, ensuring data quality and promoting the value of BI within the ...
They are seeking a Business Intelligence Solutions Modeler/Designer to analyze, design, and manage data integration solutions, ensuring data quality and promoting the value of BI within the ...
A Business Intelligence Solutions Modeler/Designer works under limited supervision to analyze and design analytical data integration solutions that include both structured and unstructured data, to ...
A Business Intelligence Solutions Modeler/Designer works under limited supervision to analyze and design analytical data integration solutions that include both structured and unstructured data, to ...
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Model information
See Baton Rouge, LA salary details
$16 is the 25th percentile. Wages below this are outliers.
$9.69 - $21.26
46% of jobs
The median wage is $23.69 / hr.
$21.26 - $32.82
20% of jobs
$32.82 - $44.38
3% of jobs
$54.29 is the 75th percentile. Wages above this are outliers.
$44.38 - $55.94
7% of jobs
$55.94 - $67.51
0% of jobs
$67.51 - $79.07
7% of jobs
$79.07 - $90.63
13% of jobs
$90.63 - $102.19
2% of jobs
$102.19 - $113.75
0% of jobs
$113.75 - $125.32
1% of jobs
$125.32 - $136.88
1% of jobs
$9
$43
$136
How much do model jobs pay per hour?
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How to be a face model?
What are models?
How do you get a job as a model?
What is the difference between Model vs Data Analyst?
| Aspect | Model | Data Analyst |
|---|---|---|
| Required Credentials | Knowledge of statistical modeling, programming skills (e.g., Python, R) | Proficiency in data analysis tools, Excel, SQL, and visualization software |
| Work Environment | Often in tech, finance, or research settings focusing on building predictive models | In various industries analyzing data to inform business decisions |
| Employer & Industry Usage | Used in industries requiring predictive analytics and machine learning | Common across business, marketing, healthcare, and finance sectors |
The main difference is that a Model develops predictive or statistical models, while a Data Analyst interprets data to generate insights. Models focus on creating algorithms, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.
Is 30 too old to start modeling?
What Does a Model Do?
What are the key skills and qualifications needed to thrive as a Model, and why are they important?
How much money do models make?

Full-time
Posted 7 days ago
Job description
Computer Futures is a leading IT recruitment consultancy, specialising in placing IT experts in permanent and contract roles across Asia, Europe and the US. They are seeking a Business Intelligence Solutions Modeler/Designer to analyze, design, and manage data integration solutions, ensuring data quality and promoting the value of BI within the organization.
Responsibilities:
• analyze and design analytical data integration solutions that include both structured and unstructured data
• develop and manage metadata from analytical data stores and data access tools
• monitor and manage data quality
• promote the value and potential of BI across the Enterprise
• understand how information is used to drive strategic and tactical decisions for the Business
• understand and anticipate the information needs of the Business
Qualifications:
Required:
• BA/BS in Computer Science, Management Information Systems or equivalent Business degree / work experience
• Minimum 7 years of experience in Business Intelligence area (specifically with structured and unstructured data analysis; solution design; metadata management)
• Strong analytical, conceptual and technical skills; facile ability to translate business needs into technical solutions
• Capable of developing a deep understanding of source data: ; its strengths, weaknesses and semantics.
• Extensive experience with various data modeling paradigms for both structured and unstructured data
• Extensive experience with various data querying languages (such as SQL and HiveQL)
• Minimum 5 years of experience with Vertica/Teradata databases / tools
• Extensive client facing skills with the ability to lead customer / business user meetings (as appropriate)
• Excellent communication skills both written and oral
• Strong partnering and teamwork skills;
• Flexibility, diplomacy, and problem-solving skills
• Strong interpersonal and communications skills; ability to effectively with people at all levels of the enterprise from executives to developers (across the organizational spectrum from Business to Engineering including Information Technology)
• Self-motivated and highly adaptable;ability to work in a fast-paced, dynamic, and changing environment
Preferred:
• Experience with ETL tools such as Informatica is a plus
• Experience with Hadoop environment is a plus (including Hive, Impala, Sqoop, Spark)
• Experience with scripting tools is a plus (including unix shell, Python, Ruby, PHP.)
• Familiarity with Business Intelligence tools (including OLAP / Metadata Management / Reporting tools)
Company:
As one of the world's most dynamic and highly regarded IT recruitment consultancies. Founded in 1986, the company is headquartered in London, GBR, with a team of 501-1000 employees. The company is currently Late Stage.