Quality Business Intelligence Engineer Jobs

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

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

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

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.

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

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.

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.

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.

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.

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

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.

• 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)

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.

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

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.

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

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

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

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

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