Business Intelligence Associate, Otter - Us & Canada
By Otter At , Los Angeles
Develop comprehensive dashboards to track revenue and operational metrics.
Transform complex data into actionable insights, enable data-driven decision making.
Maintain and improve data pipelines, extracting raw data from various APIs (Stripe, WooCommerce, etc.), cleaning and consolidating it for unified analysis.
Automate routine tasks, freeing teams to focus on high-impact work.
A strong inclination towards analytical problem-solving. Comfortable and enthusiastic about manipulating large and complex datasets to reveal practical, impactful solutions.
Proficiency in building scalable, efficient solutions to complex problems. Ability to continuously improve processes using data, automation and documentation.
Sr. Associate, Business Intelligence
By LinkedIn At Sunnyvale, CA, United States
Strong management skills for planning and executing complex multi-team projects that crosses multiple domains
Make business recommendations, conveying findings at multiple levels including managers and peers through visual displays of quantitative information
4+ years of relevant work experience
3+ years of experience in SQL
3+ years of experience developing reporting solutions and dashboards using visualization tools (e.g. PowerBI, Tableau, Looker)
Experience using data to develop metrics, assess performance, run exploratory analyses, find improvement areas, and generate recommendations to improve business performance
Business Intelligence Engineering Manager
By Cash App At San Francisco, CA, United States
2+ years experience in people management
Define the operational excellence processes for Business Intelligence Engineering, including project management and system reliability
Manage individual projects by coordinating directly with the company’s internal data teams
5+ years of data engineering experience in product/support analytics and business operations
Experience in leading engineering teams responsible for external data reporting
Experience working with Legal & Counsel stakeholders
Business Intelligence Reporting Jobs
By Plaxonic At San Mateo, CA, United States
5 to 7 years of Report development experience.
Experience in SQL and manipulating large data sets in a database.
Experience in building MicroStrategy Reports.
Gather user requirements and translate to reports.
Experience with Snowflake or any other Relational databases.
Experience with MicroStrategy Administration is plus.
Business Intelligence Manager, Operations
By MANSCAPED, Inc At , , Ca $100,000 - $110,000 a year
Collaborate with finance, sales channels, demand planning, operations to drive business outcomes
4+ years experience in a data-driven business, working in E-Commerce a plus
Exceptional knowledge of Microsoft Excel
Strong experience in finding data insights and providing recommendations to the business
Experienced with Tableau Online and SAS data visualization software a plus
Partner cross-functionally to identify opportunities and then translate into an internal brief and then into an analytical project
Legal Operations Business Intelligence - (B3)
By Applied Materials At , Santa Clara, Ca $112,000 - $154,000 a year
Strong quantitative and qualitative analysis, and excellent project management skills.
Prepare and present program updates, key results, and program ROIs to stakeholders and management.
Experienced in Analyzing the Bl Needs, interpreting business user requirements and translating them into reports.
Exposure to vendor management or contract negotiation a plus
5 years of experience in design, analysis, development, and implementation of dashboards using Tableau.
Define scope, document requirements and develop detailed project plans to lead/support legal operations initiatives.
Business Intelligence Specialist Jobs
By Otter At Los Angeles Metropolitan Area, United States
Solid project & stakeholder management;
Create pitch collateral, presentations, dashboards and reports to Sales, Customer Success and Onboarding teams;
Operate cross-functionally, strategizing with traditional sales teams to maximize conversion;
Identify and execute opportunities to improve efficiency post-sales process;
Standardize elements of the sales process while leaving space for a personalized touch;
Create dashboards for internal stakeholders focusing on performance;
Business Intelligence Project Manager
By LatentView Analytics At San Jose, CA, United States
"Strong Project Management experience plus experience handling BI projects, preferably experience developing dashboards/writing SQL queries"
Proven project management and organizational skills.
Responsible for driving business requirements with users and translating business requirements into functional requirements.
8+ years of relevant work experience in managing multiple BI projects
Hands-on knowledge of SQL (BigQuery, Google SQL, etc)
Job Summary: Technical Program Manager – Business Intelligence Reporting
Business Intelligence Engineer Jobs
By Snapchat At , Los Angeles, 90291, Ca $111,000 - $162,000 a year
Project management and organizational skills to manage multiple projects simultaneously.
Experience in building and maintaining data pipelines to serve reporting needs.
Experience with data modeling and data warehousing concepts.
Knowledge of statistical analysis, data mining, and machine learning techniques.
Familiarity with cloud platforms such as AWS, GCP, or Azure and experience with related services (e.g., S3, Redshift, BigQuery, Dataflow).
Experience with data visualization tools such as Looker and Tableau.

Are you looking for an exciting opportunity to use your Business Intelligence skills to make an impact? We are looking for a Business Intelligence Specialist to join our team and help us make data-driven decisions that will shape the future of our company. If you have a passion for data and analytics, this is the perfect job for you!

Overview Business Intelligence Specialists are responsible for designing, developing, and implementing data-driven solutions to support business decisions. They use a variety of tools and techniques to analyze data and create reports, dashboards, and other visualizations to help organizations make better decisions. Detailed Job Description Business Intelligence Specialists are responsible for designing, developing, and implementing data-driven solutions to support business decisions. They use a variety of tools and techniques to analyze data and create reports, dashboards, and other visualizations to help organizations make better decisions. They must be able to interpret data and identify trends and patterns that can be used to inform business decisions. They must also be able to communicate their findings to stakeholders in a clear and concise manner. Job Skills Required
• Knowledge of data analysis and visualization tools such as Tableau, Power BI, and Excel
• Knowledge of SQL and database management systems
• Ability to interpret data and identify trends and patterns
• Ability to communicate complex information in a clear and concise manner
• Ability to work independently and as part of a team
• Attention to detail
• Problem-solving skills
Job Qualifications
• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• Experience with data analysis and visualization tools
• Experience with SQL and database management systems
• Experience with data mining and predictive analytics
• Experience with data warehousing and ETL processes
Job Knowledge
• Knowledge of data analysis and visualization tools such as Tableau, Power BI, and Excel
• Knowledge of SQL and database management systems
• Knowledge of data mining and predictive analytics
• Knowledge of data warehousing and ETL processes
Job Experience
• Experience with data analysis and visualization tools
• Experience with SQL and database management systems
• Experience with data mining and predictive analytics
• Experience with data warehousing and ETL processes
Job Responsibilities
• Design, develop, and implement data-driven solutions to support business decisions
• Analyze data and create reports, dashboards, and other visualizations
• Interpret data and identify trends and patterns
• Communicate findings to stakeholders in a clear and concise manner
• Monitor data quality and accuracy
• Develop and maintain data models and ETL processes
• Troubleshoot data issues and provide solutions