Register
Recruit Create CV

Business Intelligence Data Engineer Jobs

Business Intelligence Engineer Intern
By Flip At El Segundo, CA, United States
Experience with business intelligence reporting and visualization tools, including Looker and similar platforms
Experience processing large scale datasets, analyzing data to solve business problems and presenting impactful insights to business teams
Demonstrated analytical and problem-solving skills.Ability to work in a fast-paced, startup environment
Excellent communication and collaboration skills
Collaborate with teams across the organization to define metrics, gather requirements, and deliver data-driven insights
Currently pursuing or recently graduated with a Bachelor's or Master's in Computer Science, Data Science, Statistics, Business, or a related field
Business Intelligence Engineer, Amazon Logistics
By Amazon.com Services LLC At , Bellevue From $79,600 a year
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience writing complex SQL queries
Experience in Statistical Analysis packages such as R, SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Business Intelligence Engineer Jobs
By ASK Consulting At New York, NY, United States
Full project management and development life cycle experience
Minimum 7+ years of combined experience in data warehousing/business intelligence/analytics and reporting systems.
Strong knowledge of Fixed Income, Equity and Derivative businesses
Strong ability to analyze user requirements, make recommendations and implement solutions
Strong oral and written communication skills
Strong presentation and interpersonal skills
Business Intelligence Engineer Jobs
By Humana At ,
2 or more years of experience in SQL, SAS or other data systems
1 year of Python or similar automation experience
1 year + of technical experience in data analysis and visualization
Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc.
Principal- Business Intelligence Engineer
By Kraft Heinz Company At , Chicago $68,960 a year
Bachelors- Masters or doctorate in computer science- software engineering- applied mathematics or similar disciplines- or equivalent professional experience
10+ years of experience with the implementation and delivery of large-scale enterprise data tools and related systems
Demonstrated experience with customer-centric agile methods
Be the subject matter expert for Business Intelligence and Power BI.
Lead and be accountable for the design and development of the state-of-the art pipelines and visualizations
Co-develop and follow enterprise wide standards
Business Intelligence - Sr Data Analytics
By Codecademy At , Remote $85,000 - $105,000 a year
Evaluate data to proactively identify opportunities that improve the team members’ experience and business outcomes.
Ensure upstream product model changes integrate well with our data model, and when it doesn’t build the necessary capabilities to adjust.
Strong problem solving skills to determine how best to employ multiple data sets and analytical methods to answer product development questions
Clear and concise written and verbal communication skills
Experience in communicating the results of an analysis to a variety of audiences
Experience working in Edtech or equivalent industries
Business Intelligence Engineer (Remote)
By Prokeep At , Remote $70,000 - $100,000 a year
You have experience working with Sales, Marketing, Customer Success and/or Revops teams to provide information and tools that make them successful.
Collaborate with cross-functional teams to understand business requirements and develop solutions that enable data-driven decision-making.
2+ years of experience in a BI Engineer or similar role, working with data modeling, ETL processes, and data visualization tools.
Strong proficiency in SQL and experience working with data warehousing technologies, such as Amazon Redshift or Google BigQuery.
Strong problem-solving skills and ability to work independently and in a team environment.
Excellent communication skills, with the ability to translate technical concepts to non-technical stakeholders.
Business Intelligence Engineer Jobs
By Ascendion At , Redmond, Wa $160,000 - $180,000 a year
Solve complex problems – and learn new skills
Experience the power of transforming digital engineering for Fortune 500 clients
Master your craft with leading training programs and hands-on experience
Gathers requirements from business units and translate those to programmers and developers.
Prepares cost-benefit and return-on-investment analyses to aid in decisions on system implementation.
Demonstrates an informed knowledge of business functions to resolve problems and capitalize on improvement opportunities.
Staff Business Intelligence Engineer
By Airbnb At United States
Collaborate with cross-functional teams to gather requirements and ensure data solutions meet business needs.
9+ years of industry experience with a BS/Masters degree or 6+ years with a PhD.
Strong skills in SQL, data modeling, and data visualization tools (e.g., Tableau).
Experience with ETL processes and tools (e.g., Airflow).
Excellent problem-solving, communication, and collaboration skills.
Develop, maintain, and optimize business intelligence solutions, including data models, dashboards, and reports.
Business Intelligence Engineer, Devices And Services
By Google At , Atlanta, Ga
Experience managing projects and working with a set of technical and non-technical stakeholders on requirements, roles, responsibilities, and timelines.
Bachelor’s degree or equivalent practical experience.
Experience in one or more programming languages (e.g.,Python, Java, C++, etc.)
Experience in managing complex projects end-to-end.
Experience with advanced analytics (e.g., ML, AI).
Experience communicating and collaborating with global teams to ensure timely delivery of projects and working with teams distributed across geographies.
Business Intelligence Engineer Jobs
By Worldwide Flight Services At , Dallas-Fort Worth, 75261, Tx
3+ years of data engineering experience with an understanding of database management and cloud
Work directly with analysts, engineers and stakeholders to understand goals, gather requirements, and develop new data assets
Experience with end to end ETL pipeline development and implementation using SQL and python
Experience building reports with Power BI, Tableau, or similar BI visualization tools
Hands on experience on cloud-based computing services and data warehouses like Snowflake,
Excellent communication skills with strong business intuition and ability to understand complex
Business Intelligence Data Engineer
By Barnes & Noble At , New York, 10003, Ny $140,000 - $160,000 a year
Strong project management and organizational skills
Experience with data pipeline and workflow management tools
Deploy new solutions and configurations to meet business and compliance requirements.
Manage consultants to ensure compliance with Barnes & Noble engineering and business standards.
Work with multiple business stakeholders in defining the right data requirements to fulfill growing analytics / insights needs across the enterprise
Working experience with Azure DevOps and Source controls.
Data & Business Intelligence Analyst
By UPS At Mahwah, NJ, United States
Translates data results into written reports, tables, graphs, and charts to convey information to management and clients.
Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues.
Demonstrated experience in writing software requirements and test specifications, as well as using data to drive business decisions.
Strong analytical skills and attention to detail.
Excellent verbal and written communication skills.
Intermediate knowledge of SQL and tools that leverage SQL language
Business Intelligence Engineer Jobs
By Murphy & Associates, Inc. At Greater Seattle Area, United States
• Project management skills in order to handle diverse projects, often times simultaneously, and meet aggressive deadlines
Gathers requirements from business units and translate those to programmers and developers
Prepares cost-benefit and return-on-investment analyses to aid in decisions on system implementation
Demonstrates an informed knowledge of business functions to resolve problems and capitalize on improvement opportunities
ROLE IS REMOTE – COMPANY BASED IN THE GREATER SEATTLE AREA, WA
$15,088 - $16,491 /month COMPENSATION RATE (depending on experience)
Business Intelligence Engineer (Bi)
By Jobot At Sarasota, FL, United States
Develop and maintain OLAP and OLTP data models to support analytics and reporting requirements.
Collaborate with stakeholders to understand their data requirements and design solutions that meet their needs.
3+ years of experience in BI/Data Engineering.
Strong expertise in SQL and experience with data warehouse design and development using Snowflake or equivalent.
Experience with Azure services, including Azure Data Factory (ADF), Azure SQL Database, and Azure Storage.
Experience with ETL tools and data integration techniques.
Business Intelligence Engineer, Sales & Success
By Notion At San Francisco, CA, United States
You have basic familiarity with at least one scripting language (ideally Python or R) and are open to deepening your knowledge.
You have experience with Tableau.
You have experience building BI reporting specifically for Sales and Revenue reporting.
Build and maintain key dashboards and reports for tracking Notion’s sales performance and customers.
Share visualization and dashboard development best practices with our Business Intelligence and Data Science teams to create consistency across our dashboards.
Build BI grade datasets for more high performant dashboards used by Business stakeholders across the company
Finance Data Analyst, Business Intelligence (Bi
By Major League Baseball (MLB) At Secaucus, NJ, United States
Stay up-to-date with the latest trends, advancements, and best practices in Business Intelligence, data management, and analytics.
Collaborate with cross-functional teams to identify and understand business requirements, translating them into technical specifications for Business Intelligence solutions.
Perform data analysis and provide recommendations to improve business processes, optimize resource allocation, and enhance decision-making capabilities.
Collaborate with IT, Finance, and Accounting teams to ensure proper integration, security, and performance of Business Intelligence solutions.
Knowledge of databases and SQL performance tuning
Experience working with BOARD or other Business Intelligence tools (Oracle, Tableau, Power BI, QlikView, etc.) to create interactive reports and visualizations.
Business Intelligence Engineer Jobs
By The BayTech Group At Washington, DC, United States
Business Intelligence Analysis and Development experience with dashboarding and visualization experience
Experience with a Data Visualization tool required (PowerBI ideal)
Excellent communication skills and ability to work with all facets of the business
Any exposure to javascript or other scripting/programming helpful but not required
This will be a hybrid role, with 1-2 days/week in the Washington DC area.
Business Intelligence Engineer, Programming And Audience Discovery
By Prime Video & Amazon Studios At Culver City, CA, United States
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Data Engineer, Business Intelligence
By Attentive At United States
Our team supports stakeholders from client strategy, product management, sales, marketing, finance, engineering, designers and the leadership team
You will work with teams across the company to define BI and analytics requirements
2+ years of data/software engineering experience
You have experience with SQL, Python, ETL/ELT development
You are a team player with collaboration and communication skills
You have proficiency or experience with Airflow

Are you looking for a challenging and rewarding role in Business Intelligence? We are looking for a Data Engineer to join our team and help us unlock the power of data to drive our business forward. You will be responsible for designing, developing, and maintaining data pipelines and data models to support our BI initiatives. You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of data professionals. If you have a passion for data and a drive to make an impact, this is the perfect role for you!

Overview Business Intelligence Data Engineers are responsible for designing, developing, and maintaining data systems and pipelines to support business intelligence and analytics. They work with stakeholders to understand their data needs and develop solutions to meet those needs. They also work with data scientists and analysts to ensure that data is accurate, up-to-date, and easily accessible. Detailed Job Description Business Intelligence Data Engineers are responsible for designing, developing, and maintaining data systems and pipelines to support business intelligence and analytics. They work with stakeholders to understand their data needs and develop solutions to meet those needs. They also work with data scientists and analysts to ensure that data is accurate, up-to-date, and easily accessible. They must be able to design and develop data models, ETL processes, and data warehouses. They must be able to write and maintain SQL queries and stored procedures. They must be able to develop and maintain data pipelines and data integration processes. They must be able to troubleshoot data issues and provide technical support to stakeholders. Job Skills Required
• Strong knowledge of SQL and database design
• Experience with ETL processes and data integration
• Knowledge of data warehousing and data modeling
• Experience with data visualization tools
• Knowledge of scripting languages such as Python and R
• Ability to troubleshoot data issues
• Excellent communication and problem-solving skills
Job Qualifications
• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering
• Experience with data analysis and data visualization tools
• Knowledge of data warehousing and data modeling
• Experience with scripting languages such as Python and R
• Ability to troubleshoot data issues
Job Knowledge
• Knowledge of SQL and database design
• Knowledge of ETL processes and data integration
• Knowledge of data warehousing and data modeling
• Knowledge of scripting languages such as Python and R
• Knowledge of data visualization tools
• Knowledge of data analysis and data mining
Job Experience
• 5+ years of experience in data engineering
• Experience with data analysis and data visualization tools
• Experience with scripting languages such as Python and R
• Experience with data warehousing and data modeling
• Experience with ETL processes and data integration
• Experience with troubleshooting data issues
Job Responsibilities
• Design and develop data models, ETL processes, and data warehouses