Business Intelligence Staffing

For Experienced Recruitment

Tier2Tek Staffing Company is ready to assist you in finding the ideal Business Intelligence Analyst for your company. Contact us now and speak to a dedicated account manager for your hiring needs.

What Does a Business Intelligence Specialist Do?

A Business Intelligence Specialist focuses on data mining for the organization and providing a visual representation of the data. For most organizations, data is a very important factor in developing a strategic plan. As a result, the Business Intelligence Specialist takes the data and provides meaningful solutions for the strategic plan.

Their job duties include reporting on data mining, performance metrics, benchmarking, descriptive analytics, querying, statistical analysis, visual analysis, and data preparation.

Requirements

Regarding qualifications, Business Intelligence Specialists can come from a wide variety of degrees, experience, and other backgrounds. Ultimately, the business intelligence specialist should be a master of either business or analytics when staffing.

Overall, the analyst should have at least a Bachelor’s degree in computer and information science, accounting, finance, economics, business, management, or political science. Most businesses will only hire a specialist if they have a Master’s degree, though.

If the candidate does not have direct former experience, they should have some work in business analytics. For soft skills, they should have strong business tactics, leadership, and analytical thought. Furthermore, while there is no direct certification for a Business Intelligence Specialist, they may have a Certified Business Intelligence Professional (CBIP) certification (or something similar).

Sample Data Analyst Job Description for Staffing

The Data Analyst will have the responsibility of building reports and dashboards for multi-agency consumption.

• 5 years of experience developing reports and dashboards in business analytics solutions such as Microsoft PowerBI.
• Strong understanding of data warehouse concepts and architectures.
• Experience in a SQL Server environment, with strong proficiency in SQL and T-SQL.
• Experience with R, Python, SQL, NOSQL, HTML, JavaScript, C/C++, etc.
• Knowledge of metadata development.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing, and presenting findings.

Highest-Paying States for Data Analysts

Sample Data Engineer Job Description for Staffing

The Engineer is an experienced data pipeline builder and data wrangler who optimizes data systems and builds them from the ground up. They will support software developers, database architects, data analysts, and data scientists on data initiatives and ensure the optimal data delivery architecture is consistent throughout ongoing projects.

• Creates and maintains optimal data pipeline architecture.
• Assembles large, complex data sets that meet functional/non-functional business requirements. 
• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. 
• Builds the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources. 
• Creates data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. 
• Works with data and analytics experts to strive for greater functionality in our data systems. 
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with a variety of databases. 
• Experience building and optimizing ‘big data’ pipelines, architectures, and data sets. 
• Builds processes supporting data transformation, data structures, metadata, dependency, and workload management. 
• 5+ years of experience in a Data Engineer role. Has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another equivalent quantitative field.  
• Experience with big data tools like: Hadoop, Spark, Kafka. 
• Must have experience with relational SQL and NoSQL databases, including Postgres and Cassandra. 
• Experience with object-oriented/object function scripting languages like: R, Python, Java, C++, Scala.  

Highest-Paying States for Data Engineers

Data Architect Job Description for Staffing 

• 5+ years of experience in data modeling and designing enterprise-class data warehouses and marts. 
• 5+ Years Java/J2EE design and development experience.  
• 3+ years experience with J2EE architecture design and development, involving EJBs and Web Services.
• Experience must include multi-tier application architecture and design including OOAD, SOA, relational databases, web services, LDAP, and security integration. Mulesoft experience is a plus. 
• Understands object-oriented design, reuse, and component-based development. 
• Performs analysis and logical design activities such as data modeling, entity relationship diagramming, CRUD (create, revise, update, and delete) analysis, and logical database design.
• Experienced with RAD/Iterative development methodologies. 
• Experienced with Hibernate. 

Senior Data Architect Job Description for Staffing

• 10+ years of experience in data modeling and designing enterprise-class data warehouses and marts. 
• 10+ Years Java/J2EE design and development experience.  
• 5+ years experience with J2EE architecture design and development, involving EJBs and Web Services.
• Experience must include multi-tier application architecture and design including OOAD, SOA, relational databases, web services, LDAP, and security integration. Mulesoft experience preferred.  
• Understands object-oriented design, reuse, and component-based development. 
• Performs analysis and logical design activities such as data modeling, entity relationship diagramming, CRUD (create, revise, update, and delete) analysis, and logical database design.
• Experienced with RAD/Iterative development methodologies. 
• Experienced with Hibernate. 

Highest-Paying States for Data Architects

Data Scientist Job Description for Staffing

The Data Scientist is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations.

• Works with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions. 
• Mines and analyzes data from databases to drive optimization and improvement of product development, marketing techniques, and business strategies. 
• Assesses the effectiveness and accuracy of new data sources and data-gathering techniques. 
• Develops custom data models and algorithms to apply to data sets. 
• Uses predictive modeling to increase and optimize customer experiences and service delivery. 
• Develops company A/B testing framework and test model quality. 
• Coordinates with different functional teams to implement models and monitor outcomes. 
• Develops processes and tools to monitor and analyze model performance and data accuracy. 
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. 
• Experience working with and creating data architectures. 
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. 
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with applications. 
• 5+ years of experience manipulating data sets and building statistical models. 
• Coding knowledge and experience with several languages: C, C++, Java, JavaScript.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.

Highest-Paying States for Data Scientists

Report Developer Job Description for Staffing 

The Report Developer has 3-5 years of experience designing and building reports using tools such as SQL/PowerBI and Crystal reports.  Additionally, the candidate must be proficient in GUI design skills. Furthermore, they must also perform development and testing.  They will be asked to formulate project requirements into a written form and then transform them into a design and specifications for other developers to follow. The Report Developer must be capable of working independently, with limited supervision, and must also be capable of mentoring and advising other report developers on reporting solutions.  

• Analyzes and designs reporting solutions with features and capabilities. Specific tasks include, but are not limited to, application design, application development, application deployment, application maintenance, and problem resolution. 
• Must demonstrate a working knowledge of PowerBI, SQL Developer, HTML, Adobe FLEX, JavaScript, RIA technology, and Cascading.
• Demonstrates a working knowledge of SQL language and relational database concepts. SQL server knowledge is a plus. 
• Ability to conduct a needs assessment and analysis to gather requirements and determine those factors that will result in a successful application design. 
• Continue to expand and develop skills in application development products and operating systems. 
• Should have the ability to write solid documentation that supports the coding and project management effort. 
• Must have the ability to define issues and solve practical problems, collect data, establish facts, and draw valid conclusions.  
• Have the ability to abstract problems and create meaningful tests and proofs of concepts.  
• Ability to deal with a variety of concrete variables in situations where only limited standardization exists.  

Highest-Paying States for Report Developers