Business Intelligence Engineer Job Description
Business intelligence engineer
provides ETL an SQL performance tuning, analysis and recommendations for ease of support, automation and maintenance.
Business Intelligence Engineer Duties & Responsibilities
To write an effective business intelligence engineer job description, begin by listing detailed duties, responsibilities and expectations. We have included business intelligence engineer job description templates that you can modify and use.
Sample responsibilities for this position include:
Build the reporting data model and help the data engineering team with creating views , SQL scripts
Monitor ETL processes, system audits, dashboard reporting and presentation layer functioning and performance
Use business intelligence and visualization software (e.g., AWS, Redshift, Tableau, QuickSight, ) to empower non-technical, internal customers to drive their own analytics and reporting
Monitor ETL processes, system audits, Dashboard Reporting and Presentation Layer functioning and performance and pro-actively fix issues as found
Provide complex analysis, conceptualize, design, implement and develop solutions for critical BI components
Perform dataflow, system and data analysis and develop meaningful and useful presentation of data in BI applications
Plan and implement standards, define/code conformed global and reusable objects, perform complex database design, data modelling (EDW and programming and streamline the systems
Consult with client groups to assess user needs and understand the business processes
Contribute to data analysis, design and development of new and ongoing business intelligence (BI) projects involving complex EDW structures OR on OLTP systems
Collaborate closely with internal and external teams to understand and apply changes/modifications impacting data warehouse
Business Intelligence Engineer Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Business Intelligence Engineer
List any licenses or certifications required by the position: SQL, BI, MS, AWS, MCDBA, SSL, ITIL, GCP, CE, AZ
Education for Business Intelligence Engineer
Typically a job would require a certain level of education.
Employers hiring for the business intelligence engineer job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Engineering, Mathematics, Finance, Math, Business, Economics, Technical, MBA
Skills for Business Intelligence Engineer
Desired skills for business intelligence engineer include:
SQL
Scripting for automation
Excel
Infrastructure components
Access and PowerPoint
Redshift
Python
ETL
R
Relational databases
Desired experience for business intelligence engineer includes:
Knowledge of commercial and emerging reporting tools and technologies
Bachelor's degree in Computer Science, or the equivalent in experience, with at least 5+ years of progressive experience in the industry
Development experience with Hadoop, Spark and big data tools
Enthusiasm for analyzing complex data sets and converting them into the information which drives business decisions
Automobile or Information Technology industry experience preferred
Conduct and participate in code walkthroughs and document technical design
Business Intelligence Engineer Examples
1
Business Intelligence Engineer Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of business intelligence engineer. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for business intelligence engineer
- Design and develop reports using SQL Server Reporting Services and Tableau
- Design and develop OLAP Cubes using SQL Server Analysis Services (SSAS)
- Assist in recruiting, mentoring, developing, and training other Research Scientists other technical roles when needed
- Preparing compensation reports/queries as needed
- Draws from a deep group- or department-level business understanding to make decisions
- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape AmazonFresh customer experience, and WW Fresh Operations roadmap
- Develop a thorough understanding of customer behavior, competitive service trends, and business drivers to inform decision making
- Analyze key insight trends and build models that predict customer behavior, using statistical rigor to simplify and provide thought leadership to WW Fresh Operations
- Collaborate with stakeholder teams as a leader of ongoing analytical support
- Own the design, development, and maintenance of multiple databases, tools, metrics, reports, analyses, dashboards, to drive key business decisions
Qualifications for business intelligence engineer
- Demonstrable knowledge and experience with Microsoft SQL Server, Tableau 8.0 or higher version
- Occasionally stand/walk
- Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming
- Working with large data sets in Oracle and no-SQL databases in flat files
- Experience with at least one data visualization tool
- BA/ BS Required, preferably in an analytical field - Computer Science, Economics, Operations, Mathematics, Statistics or equivalent experience
2
Business Intelligence Engineer Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of business intelligence engineer. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for business intelligence engineer
- Deep dive into massive data sets to answer key business questions using SQL and other data manipulation languages
- Design and develop DataStage ETL jobs and sequences that meet end user requirements
- Promote standards and best practices in data modeling, ETL and report development
- Monitor support queue and reach out to clients and resolve issues
- You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions
- You should be detail-oriented and must have an aptitude for solving unstructured problems
- You will own end-to-end program management
- You will be responsible for achieving XX million $ actual savings on the bottom line or adding YY million $ to top line
- Use Graph database and algorithms
- Communicate, persuade and influence senior management
Qualifications for business intelligence engineer
- Detail-oriented and must have an aptitude for solving unstructured problems
- Experience on AWS Big Data technologies, like RedShift, S3, Aurora, Data Pipeline, QuickSight, Kinesis
- Direct experience using business intelligence reporting tools (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes)
- Experience with at least one scripting language (Python, Perl, Ruby, PHP)
- Strong in at least one scripting language (Perl, Python )
- Hands-on experience in Unix command line programming (bash, shell, AWK, grep, sed)
3
Business Intelligence Engineer Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of business intelligence engineer. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for business intelligence engineer
- Utilize database technologies, including Redshift, AWS Athena and Tableau to design, develop, and evaluate analyses and highly innovative business intelligence tools and reporting
- Serve as the primary point of contact with business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations
- Providing analytical network support
- Design, build, enhance and maintain enterprise BI platform to support BI and advanced analytics
- Data cleanup, requirements gathering, data modeling & transformation, reports/dashboard creation, data mining and analytics on complex data sets
- Participate in the entire lifecycle for Business Intelligence Solution Delivery
- Design, build, document and manage data warehouse objects
- Develop, test and deliver error free data
- Ability to work independently ( within a team environment) and unsupervised
- Ability to work a flexible day schedule required including occasional evenings
Qualifications for business intelligence engineer
- Experience on at least one data visualization tools
- Knowledge of advanced statistics and experience with statistical data analysis systems (scikit-learn, Pandas, R )
- Experience working with a wide range of predictive and decision models and data mining techniques, tools for developing such models (linear/logistic regression, decision trees, K-means, DBSCAN, Support Vector Machine, Naive Bayes )
- Experience in ETL, presentation layer and reporting design strategies
- Technical capability to query large data sets and apply statistical models
- Proven ability at looking at solutions in unconventional ways
4
Business Intelligence Engineer Job Description
Job Description Example
Our innovative and growing company is hiring for a business intelligence engineer. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for business intelligence engineer
- Create, enhance and tune SQL Server stored procedures
- You should be expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports
- Support the analytical needs of the content acquisition management team (CAM) inclusive of routine reporting, ad hoc, statistical inference and predictive modeling for WorldWide licensing
- Maintain and improve on our system for gauging WorldWide content demand
- Work with central economics, machine learning, finance and other analytics team to ensure the most efficient and effective allocation of resources to tackle the WorldWide content analytics agenda
- Provide informal direction and guidance to more junior members of staff on all aspects of analytics from business context and prioritization to technical coaching
- Identifying, developing and executing data analysis to uncover areas of business opportunity
- Presenting written recommendations and insights to key stakeholders that will help shape effective Imaging strategies worldwide
- Design and execute analyses and data mining by utilizing available analysis tools, interpret the results and develop recommendations and actionable steps based on the learning
- Shaping and informing key metrics and indicators by which Imaging will assess its performance
Qualifications for business intelligence engineer
- Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets
- Experience with Oracle, MSSQL, Redshift, Teradata
- Expert level proficiency in SQL and performance optimization
- Proficiency with data visualization tools like Tableau or cloud-based solutions like Redshift desirable
- Exposure to SAS or R and understanding of statistical analysis and customer analytics
- 5+ years of experience in relevant business domains, including data warehousing and business intelligence tools, techniques and technology
5
Business Intelligence Engineer Job Description
Job Description Example
Our company is growing rapidly and is looking for a business intelligence engineer. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for business intelligence engineer
- Participate in on-call rotation activities
- Plan, design, implement, and manage a deployment of self-service data visualization platform, in Tableau
- Own the design, development, maintenance, and performance of the recommendations engine for Global Seller Recommendations
- Analyze and validate data using algorithms and statistical tools to ensure high data quality and reliable insights
- Apply advanced statistics to analyze and uncover insights that can drive improvements to models, reporting, data architecture
- Communicate technical concepts and analysis implications clearly to a wide audience, including senior executives
- Development of reporting, analytics and decision support to enable the AWS Finance org leaders and teams create accountability and mechanisms for revenue targets, operational efficiencies, manpower planning globally
- You will build and maintain data visualizations that inform and engage business partners
- You analyze key performance indicators to discover root causes for customer dissatisfaction
- You interface directly with partners, gathering requirements and owning automated end-to-end reporting solutions
Qualifications for business intelligence engineer
- Experience with statistical modeling, dataming and analysis (eg SPSS, SAS/R)
- 3+ years of experience in building and leveraging scalable analytical data warehouses (i.e., SQL, dimensional data modeling, experience building star-schemas)
- Experience with business intelligence software packages, data management
- Understanding of business data and methodologies, such as SQL, normalized vs
- Expert in data extraction experience using SQL
- ETL experience and basic/intermediate familiarity with Linux preferred