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The Business Intelligence team's functions include detailed client and market intelligence; strategic analysis of industry, market and geopolitical trends; predictive analytics to identify new business opportunities; and competitive intelligence. Use data visualization tools (e.g., Tableau, Power BI, or Excel) to present data in clear, actionable formats for attorneys and firm leadership. Proven experience in business and competitive intelligence, market research, business strategy and transformation, and data science. Experience with data visualization tools (e.g., Tableau, Power BI, or Excel) and intelligence databases and resources (e.g., S&P Capital IQ, Bloomberg, Pitchbook, Preqin). Advanced degree (MA, MSc, MBA, MLS, JD, PhD) preferred; background in business administration, library science, economics/finance, computer science, international relations, or management science and engineering preferred.
Leverage statistical modeling and machine learning to forecast business trends, optimize pricing, and enhance customer experiences. Define frameworks for data governance, quality, and infrastructure to ensure accuracy, consistency, and accessibility of insights across the company. Strong background in predictive analytics, statistical modeling, and A/B testing methodologies to drive data-driven decision-making. Expertise in SQL, Python, or R, with experience in BI tools like Looker, Tableau, or Sigma. Background in B2B SaaS or travel industry is a plus.
The Tableau Business Intelligence Analyst is a member of the Data & Reporting team within the department of Data Strategy & Innovation.. Reporting to the Associate Director, Business Intelligence, the Business Intelligence Analyst is responsible for complex and high quality data analysis and presentation of data related to the advancement of Princeton University’s Advancement office.. Experience with Tableau data visualization software and predictive modeling tools to analyze and communicate complex data and information clearly and efficiently to end users.. Develop and maintain proficiency with enterprise reporting and analytics tools (especially, Salesforce CRMA & Tableau) and predictive modeling tools (e.g., R, SQL, Python).. Conduct high quality data analysis; analyzing, interpreting and synthesizing information; and preparing the presentation of data to support analytics, prospect research, prospect management and the strategic decision making of the Office.
The Manager, Data Analytics & Nursing Services Projects, will play a pivotal role in overseeing data analytics for the Center for Clinical Excellence while collaborating closely with the Chief Nurse Executive (CNE) to drive data-driven decision-making.. Bachelor's degree in healthcare administration, information technology, business, statistics, or other field that requires systematic data analysis.. Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) and data visualization tools (e.g., Tableau and Power BI).. Strong SQL skills for querying and retrieving data from complex data sources in a structured format.. Proficient in aggregating data, preparing and cleaning data, and data mining using SQL and Python.
Business Intelligence and Data Analytics Manager. Business Intelligence and Data Analytics Manager – Financial Services - NYC. Business Intelligence and Data Analytics Manager Tech stack: Data Management, Business Intelligence, Data Analysis, Team Leadership, Project Management, Data Governance, Power BI, TSQL, ETL, SQL, Tableau, Agile Methodologies. A successful Business Intelligence and Data Analytics Manager excels in discovering innovative data utilization methods, with proficiency in SQL and programming languages such as Data Management, Business Intelligence, and Data Governance.. You are adept with business analytics tools like Power BI or Tableau.
Piper Companies is seeking a Data Analyst to join a an Investment Management company located in Wayne, PA. Collaborating with business partners to understand data needs and providing insights to support strategic initiatives.. Proficiency in data analysis tools like Excel, SQL, Tableau, or Power BI. Bachelor's degree (preferably in Finance, Economics, Mathematics, Data Science, or Computer Science) is required.. Keywords: Data analysis, Excel, SQL, Tableau, Power BI, Data validation, Data accuracy, KPIs, Dashboards, Investment management, Finance, Enterprise data warehouse, Audits, Compliance, Data modeling, ETL, Data visualization, Business intelligence, Database management, Query optimization, Reporting, Automation, Statistical analysis, Big data, Predictive analytics
Demonstrated experience with visualization and/or reporting tools (e.g., Qlik Sense, Qlikview, Tableau, Crystal Reports, SAP Web Intelligence (WebI. Proficiency with writing SQL queries for data analysis purposes in different databases (e.g. ANSI SQL, Microsoft SQL Server (MSSQL, T-SQL), Oracle (PL SQL), Postgres (PostgreSQL. Work with other technical teams to operationalize new data governance capabilities (e.g., Snowflake Object Tagging). Assist the Data Governance Officer with maintaining the Data Governance Framework (i.e. the listing of the Bank’s most significant data sets, each of which is assigned to a data steward and a data owner). Assist the Data Governance Officer in facilitating Data Steward Forum meetings & events.
Opportunities available for a Business intelligence Analyst to join our Community Medical Group family!. The Business Intelligence Analyst will play a critical role in driving data-driven decision-making by providing strategic insights that support the organization's growth and success. Develop and implement strategic initiatives that enhance business intelligence capabilities, focusing on data governance, data quality, and reporting standards. Build and maintain data models to support accurate forecasting and predictive analytics to drive strategic planning and resource allocation. Technical Proficiency : Expertise in BI tools like Tableau, Power BI, Qlik, and proficiency in SQL, Python, and R is desirable.
The Data Business Analyst will be responsible for analyzing business data, identifying trends and insights, and helping to bridge the gap between technical teams and business stakeholders across the Larry H. Miller platform.. This role will focus primarily on data analysis, reporting, and visualization while incorporating some data engineering responsibilities such as assisting with data modeling, ETL requirements, and ensuring data quality.. Data Engineering Collaboration: Assist in defining data requirements for ETL processes, work with data engineers to improve data pipelines, and support basic data modeling (star/snowflake schema) for reporting.. Strong proficiency in data analysis tools (e.g., SQL, Excel, Power BI, Tableau, or other data visualization tools).. Proficient in ETL tools (e.g., Matillion, Talend, Informatica, Data Factory, or other related ETL Tools)
The Los Angeles Unified School District seeks qualified proposers to provide data analysis and visualization services on behalf of the Information Technology Services.. Resource must have at least three (3) years of experience analyzing data and developing reports and dashboards using Power BI data visualization. Lead the end-to-end implementation of Power BI solutions, from data acquisition and transformation to the creation of dynamic and impactful dashboards.. Architect scalable and efficient data models in Power BI, leveraging DAX to create sophisticated calculations and aggregations.. Implement and enforce data governance policies specific to Power BI solutions.
Job Summary This Senior Business Intelligence Analyst is a business partner who designs, develops, and implements analytics tools and data solutions.. Role and Responsibilities Be a forward-facing business intelligence partner of the Finance Department within the company and support projects and change management initiatives across key project owners (IT, Finance, Operations, Human Resources, Marketing, etc. Support the team to design, implement and maintain complex BI solutions including data models in Microsoft SSAS, Excel Power Pivot and Power BI, create and maintain reporting tools, troubleshoot improvement opportunities, and process change request as needed.. Experience in DAX / data modeling with Microsoft Power BI, Power Pivot and/or SSAS Tabular.. Knowledge in data mining, machine learning, artificial intelligence, predictive analytics, and/or big data.
We are currently seeking a talented and experienced BI Developer with a strong background in data visualization, reporting, and business intelligence tools like Tableau, PowerBI, and Oracle.. Solid understanding of data governance, data security, and quality standards.. Preferred Skills: Experience with other BI tools (Qlik, MicroStrategy, etc. Knowledge of scripting languages (Python, R) for data processing.. About Four Squared Solutions, LLC Headquartered in Florida, Four Squared Solutions we provide clients with quality staffing solutions.
Join a dynamic industrial job site services company in Metro Atlanta as a Power BI Developer, where you'll shape the future of data-driven decision-making with cutting-edge analytics and interactive dashboards!. Location: Metro Atlanta, GA - Hybrid OnsiteEmployment Type: Full-TimeAbout the Role:We are seeking a Power BI Developer to create impactful reports and dashboards that support business operations and decision-making.. Work with data models, ETL processes, and data visualization techniques.. What You Bring:3+ years of experience in Power BI development, data visualization, or BI reporting.. Hands on experience with Azure Synapse, Fabric OneLake, SQL ServerExperience working with construction, field services, or logistics data is a plus.
Design, train, and fine-tune machine learning models for predictive analytics, anomaly detection, and automation. Leverage deep learning, NLP, computer vision, and other AI techniques where applicable.. Use cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for scalable deployment. Proficiency in Python, R, SQL, and data visualization tools (Tableau, PowerBI, Looker etc.. Strong background designing, developing and optimizing scalable data solutions using Google BigQuery.
Description: Bachelors Degree or equivalent experience in a quantitative field such as Economics, Business/Marketing, and/or Operations Research.. Comments: 3-5 years in quantitative analysis with demonstrated experience using statistical, econometric, machine learning, or data mining techniques.. Experience with SQL, Excel, R/SAS/Python and other statistical analysis tools.. Must have an appreciation and basic understanding of Data Governance and Data Management concepts.. Experience with business intelligence and data visualization tools such as Tableau or Power BI is highly preferred.
Enable the site's data and AI journey through extracting actionable insights, leveraging statistical analysis, machine learning, and data mining techniques to inform and support data-driven decision-making in daily operations, business growth and transformation.. Ensure data accuracy and reliability in all analysis activities through validation checks and collaboration with data engineers and GMS/GQ data ecosystem.. Proficiency in data analysis tools and programming languages (e.g., SQL for querying databases, Python for statistical analysis and automation, JS/Typescript for FrontEnd).. Experience with data visualization tools (e.g., Power BI) and the ability to translate complex data into clear, actionable insights through effective data storytelling.. Experience with data governance practices to ensure data quality by design.
As a Data Analyst Intern, you will support the design, development, and maintenance of data analytics solutions.. This internship offers opportunity to gain real time experience in data analysis, business intelligence, and data visualization.. Basic knowledge or have experience writing SQL queries to retrieve, manipulate, and analyze data from relational databases (, MySQL, PostgreSQL, SQL Server).. Familiarity with BI tools such as Tableau, Power BI, Looker, or similar platforms.. A genuine interest in data operations, data analytics, and data-driven decision-making.
We are offering an exciting opportunity for a detail-oriented and analytical Business Intelligence Analyst to join our team in our New York City office.. Collect, process, and analyze large datasets from sources such as project management software, financial systems, and CRM/ERP tools. Utilize BI tools (e.g., QLIK, Talend, Power BI, Tableau, SQL) to create and maintain data models, dashboards, and reports. Ensure data accuracy and integrity through data governance and regular audits. Experience with BI tools (e.g.,QLIK, Talend, Power BI, Tableau, SQL) and data modeling techniques
- Mentor and guide junior team members while being a key influencer in shaping the team’s business strategy and collaborating with related teams.. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.. - Experience with data visualization using Tableau, Quicksight, or similar tools. - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. 2+ years of experience in data visualization with tools such as AWS QuickSight, Tableau, R Shiny, etc.
Join a dynamic industrial job site services company in Metro Atlanta as a Power BI Developer, where you'll shape the future of data-driven decision-making with cutting-edge analytics and interactive dashboards !. We are seeking a Power BI Developer to create impactful reports and dashboards that support business operations and decision-making.. Work with data models, ETL processes, and data visualization techniques.. 3+ years of experience in Power BI development, data visualization, or BI reporting.. Hands on experience with Azure Synapse, Fabric OneLake, SQL Server