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Business Intelligence Data Engineer Jobs

Senior Business Intelligence Engineer
By Cash App At San Francisco, CA, United States
Background/knowledge in Computer Science, Applied Math, Engineering, Stats, Physics, or a something comparable
5+ years of industry experience building complex, scalable ETLs for a variety of different business and product use cases
Paid Life insurance, AD&D, and disability benefits
Create brand new and optimize existing data models for the most widely used Cash App events, entities, and processes
Standardize business and product metric definitions in curated and optimized datasets
Build pipelines out of our data warehouse
Business Intelligence Engineer, Client Analytics
By Crane Worldwide Logistics At United States
Independently able to take a project from inception to deployment with minimal oversight and management
Recommendations to operational departments as part of improving data quality and data entry procedures
2-4 years of practical, in-the-field, PowerBI experience
Demonstrable experience with exploring unmodeled data and comfortability with tracing data lineage
Demonstrable experience with directly interacting with stakeholders and consumers of completed projects
Demonstrable experience with quantifying and analyzing how projects tie back to organizational goals
Business Intelligence Engineer Ii
By Chewy At Bellevue, WA, United States
Knowledge of data management fundamentals and data storage principles.
Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.
Experience in gathering requirements and formulating business metrics for reporting
Advanced knowledge of SQL and data modeling
3+ years’ experience with data visualization tools like Tableau, Looker, Quicksight or similar (familiarity with Tableau preferred).
2+ years of experience on Python/ R or similar coding languages
Business Intelligence Engineer Ii
By Chewy At Boston, MA, United States
Knowledge of data management fundamentals and data storage principles.
Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.
Experience in gathering requirements and formulating business metrics for reporting
Advanced knowledge of SQL and data modeling
3+ years’ experience with data visualization tools like Tableau, Looker, Quicksight or similar (familiarity with Tableau preferred).
2+ years of experience on Python/ R or similar coding languages
Business Intelligence Engineer, Dsp Analytics
By Amazon At Bellevue, WA, United States
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with data visualization using Tableau, Quicksight, or similar tools
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
Data Scientist Ii, Fp&A - Business Intelligence
By Spotify At New York, NY, United States
Manage data pipelines and consult on technical best practices
You have a minimum of 5 years work experience with an emphasis on programmatic data analysis, and visualization/ dashboarding
You have expert level SQL and intermediate level Python skills
You have experience using multiple visualization tools (Tableau/ Looker)
Serve as the first line of support for FP&A data needs
Create and maintain tools for analysis and dashboarding
Data Scientist I, Fp&A - Business Intelligence
By Spotify At New York, NY, United States
You have a minimum of 3 years work experience with an emphasis on programmatic data analysis, and visualization/ dashboarding
You have advanced level SQL skills, and exposure to functional programming
You have experience using multiple visualization tools (Tableau/ Looker)
Serve as the first line of support for FP&A data needs
Create and maintain tools for analysis and dashboarding
Run data pipelines and consult on technical best practices
Business Intelligence Engineer Jobs
By Aditi Consulting At Seattle, WA, United States
Job Title: Business Intelligence Engineer II
Duration: 6+ Months (Will extend with the possibility of contract to hire)
• Redshift – creating SQL querying
5+ year's working as Business Intelligence Engineer
• Use tableau for visualizations – that will be there for at least 1 year
• Person will take 1 area of business and do reporting.
Business Intelligence Engineer Jobs
By Millennium Group At San Antonio, TX, United States

We are seeking a Business intelligence Engineer for a client in Plano, Texas! Duties Help move data through USAA's AWS data layers using tasks and streams along with DBT. Creating queries and ...

Data Engineer : Merchant Intelligence (Remote)
By Constructor At San Francisco Bay Area, United States
Improve the existing dashboard experience by building analytics that provide insights to improve KPIs.
Fully remote team - choose where you live
Work from home stipend! We want you to have the resources you need to set up your home office
Help merchandizers achieve their e-commerce goals, increasing satisfaction with their sites and retention of customers.
Provide insights to merchants they can't get anywhere else.
Become a critical point of merchant team planning, decision making, and evaluation so we become a sticky part of their organization.
Data & Intelligence Manager, Finance
By Asana At San Francisco, CA, United States
Work closely with Finance teams to deliver strategic initiatives for business transformation and improving Asana’s revenue
You have 5+ years SQL development experience preferable with MPP platforms such as Snowflake
Mental health, wellness & fitness benefits
Use multiple sources of information including broader stakeholder views to develop data solutions and recommendations
Build and maintain a robust data warehouse. Deliver reports for business insights.
Coach team members, recognize their strengths, and encourage them to take ownership of their personal development
Manager - Data Intelligence
By InnoActive Group At San Francisco Bay Area, United States
Strong leadership and team management skills.
Proven experience (7+ years) in implementing business intelligence solutions, preferably in a managerial role.
Knowledge of data governance principles and best practices.
Proficient in SQL and experience with database technologies.
Excellent problem-solving and critical-thinking skills.
Exceptional communication and presentation abilities.
Data Engineer - Business Intelligence
By San Diego County Regional Airport Authority At San Diego, CA, United States
Five years or more experience with database management systems such as SQL, or Hadoop.
Required Education, Training and Experience:
Strong programming skills in Python, C#, or other programming languages commonly used in data engineering.
Process Knowledge: Proficiently analyzes and estimates projects, documents, monitors processes and develops framework for implementation and improvement.
Three years of experience in data engineering or a related field.
One year or more experience with cloud computing platforms.
Business Intelligence Engineer, Healthcare Analytics
By Amazon At Arlington, VA, United States
Identify how to improve the customer experience and our performance.
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Knowledge of data modeling and data pipeline design
Data Analyst (Business Intelligence), Support
By Cisco Meraki At United States
Project management skills with the ability to quickly react to changing priorities and deadlines.
Tag Manager experience is a plus
Divide complex analysis projects into manageable parts and devise delivery plans.
Grow your technical skills by completing classes from our robust learning catalog.
2+ years of experience working with data from the Salesforce platform.
Relevant Salesforce certifications and/or Trailhead badges are a big plus
Data Scientist - Management & Enterprise Business Intelligence - Finance & Administration
By Bloomberg At New York, NY, United States
Distill vague business requirements into questions that can be answered with data
A minimum of 3 years' progressive professional experience in analytics, multivariate modeling, segmentation, quantitative methods, database, and digital data
Prior work experience constructing complex queries in SQL and in pyspark/pandas
Experience coding in Python, specifically around data manipulation and automation
Experience with data visualization both within Python (seaborn, plotly) and external dashboarding tools such as Qliksense, Tableau, Mode, etc
Experience with command line and GIT
Business Intelligence Data Analyst
By Tatari At Los Angeles, CA, United States
Strong strategic thinking capabilities and project management skills
$1000 annual continued education benefit
Fulfill requests from the marketing, client services and media buying teams, from customizing data dashboards on Tableau to fulfilling operational requirements
Work closely within a team of highly experienced, analytically-inclined professionals
Bachelor’s in an analytical field (e.g., Computer Science, Mathematics, Physics, Business, Finance, etc.)
1-3 years of relevant work experience, but also open to new grads
Business Intelligence Data Analyst
By Tatari At San Francisco, CA, United States
Strong strategic thinking capabilities and project management skills
$1000 annual continued education benefit
Fulfill requests from the marketing, client services and media buying teams, from customizing data dashboards on Tableau to fulfilling operational requirements
Work closely within a team of highly experienced, analytically-inclined professionals
Bachelor’s in an analytical field (e.g., Computer Science, Mathematics, Physics, Business, Finance, etc.)
1-3 years of relevant work experience, but also open to new grads
Business Intelligence Data Analyst
By Tatari At New York, NY, United States
Strong strategic thinking capabilities and project management skills
$1000 annual continued education benefit
Fulfill requests from the marketing, client services and media buying teams, from customizing data dashboards on Tableau to fulfilling operational requirements
Work closely within a team of highly experienced, analytically-inclined professionals
Bachelor’s in an analytical field (e.g., Computer Science, Mathematics, Physics, Business, Finance, etc.)
1-3 years of relevant work experience, but also open to new grads
Business Intelligence Engineer Jobs
By Synergy Interactive At Newark, NJ, United States
Strong experience with Apple Store and Google Connect APIs, metrics, and dimensions
Experience with Kochava datasets and attribution analytics
Strong experience in building ETLs, SQL, data warehousing; experience using data visualization tools like Tableau
Knowledge of A/B testing, statistics and modeling
Domain knowledge in the apps and subscription service industries
Knowledge of scripting languages such as Python (preferred) or R.

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