Business Intelligence Staffing

(720) 722-2385

@Need To Hire | @Need A Job

Outsourced, Direct-Hire, Temp-To-Hire, Seasonal & Temporory Staffing

Business Intelligence Staffing Firm
Analyze Market Trends

Business Intelligence Staffing

Tier2Tek staffing agency is ready to assist your organization in hiring the ideal business intelligence analyst. The business intelligence analysts examines company data to find opportunities for business efficiency and profit. They are up to date with current market trends and makes recommendations to align the business to profit from those trends.


For Experienced Business Intelligence Staffing

Email us or call us at (720) 722-2385.  Our staffing services our national.

Tier2Tek IT staffing company is ready to assist you in finding the ideal business intelligence analysts for your company. Contact us know and speak to a dedicated account manager for your hiring needs.

What Does a Business Intelligence Specialist Do?

A business intelligence specialist specializes in Data Mining for the organization and providing visual representation of the data. For most organizations, data is a very important factor for developing a strategic plan. As a result, the business intelligence specialist take the data and provide meaningful solutions for the strategic plan.

Their job duties include reporting from the data mining, performance metrics and bench-marking, descriptive analytics, querying, statistical analysis, visual analysis and data preparation.

Sample Data Analyst Job Description for Staffing

The Data Analyst will have responsibility for 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, Java Script, C/C++, etc.
  • Knowledge of metadata development.
  • Strong analytical skills with 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.

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 will ensure optimal data delivery architecture is consistent throughout ongoing projects. Furthermore, they must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Additionally, they will have experience working with application architects and engineers to optimize data access paths at the same time maintaining solid structural integrity and performance for integrating with backend data stores.  They will also have excellent communication and presentation skills required for socializing technical concepts and building consensus. 

  • Create and maintain optimal data pipeline architecture, 
  • Assemble large, complex data sets that meet functional / non-functional business requirements. 
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. 
  • Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources. 
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. 
  • Work with data and analytics experts to strive for greater functionality in our data systems. 
  • Advanced working 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’ data pipelines, architectures and data sets. 
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management. 
  • 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.  
  • Experience with big data tools like: Hadoop, Spark, Kafka. 
  • Mush 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.  

Data Architect Job Description for Staffing 

  • 5+ years of experience data modeling and designing enterprise class data warehouses and marts. 
  • 5+ Years Java/J2EE design & development experience.  
  • 3+ years experienced 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. 
  • Understand object-oriented design, re-use, and component-based development. 
  • Perform 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 data modeling and designing enterprise class data warehouses and marts. 
  • 10+ Years Java/J2EE design & development experience.  
  •  5+ years experienced 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.  
  • Understand object-oriented design, re-use, and component-based development. 
  • Perform 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. 

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. Additionally, they must have a proven ability to drive business results with their data-based insights. Furthermore, they must be comfortable working with a wide range of stakeholders and functional teams. The candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. 

  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions. 
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies. 
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques. 
  • Develop custom data models and algorithms to apply to data sets. 
  • Use predictive modeling to increase and optimize customer experiences and service delivery. 
  • Develop company A/B testing framework and test model quality. 
  • Coordinate with different functional teams to implement models and monitor outcomes. 
  • Develop 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 and 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, social network analysis.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
  • Must have experience analyzing data from 3rd party providers.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL.
  • Should have experience visualizing/presenting data for stakeholders.

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, they 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.  

  • Analyze and design 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 also demonstrate a working knowledge of PowerBI, SQL Developer, HTML, Adobe FLEX, JavaScript, RIA technology and Cascading.
  • Demonstrate 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 problems 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.