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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.
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.
1 Year Contract (possible extension and/or conversion).. We are looking for a Senior Project Manager to lead a Commercial Analytics Data and Reporting Program. This role will be responsible for leading the Program which requires strong project management skills, leading a matrix team, building out a work breakdown structure, RAID log and other pertinent deliverable to manage the workstream. Analytical Skills: Exposure with data analysis tools and techniques like statistical modeling, data mining, and predictive analytics (important).. Business acumen: Understanding of the pharmaceutical market dynamics, commercial landscape, and key commercial drivers
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 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.
Power BI proficiency, including dashboards, reports, and advanced DAX (Data Analysis Expressions) for real-time data calculations and analysis.. This role primarily focuses on providing data visualization solutions and advanced Power BI analytics for the Control Systems team.. Conduct research, planning, analysis, and organization of technical and statistical data for reports, briefings, and publications.. Design and implement new ETL solutions for streamlined data extraction and transformation.. If you are a data-driven professional with expertise in Power BI, SQL, ETL processes , and data visualization , we encourage you to apply!
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
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.
We are seeking an Azure Data Engineer with expertise in Power BI Semantic Model development, DAX (Data Analysis Expressions), SQL, Databricks Lakehouse, Azure Databricks, and DBT (Data Build Tool).. This role is focused on designing, implementing, and maintaining a robust Power BI Semantic Model, developing complex DAX queries, and enhancing data analytics capabilities through Databricks and DBT.. Utilize Databricks Lakehouse to manage large data volumes efficiently.. Implement data processing workflows in Azure Databricks for seamless Power BI integration.. Expertise in SQL, Databricks Lakehouse, Azure Databricks, and DBT.
Job Title: Analytics Engineer Location: Nashville, Tennessee - willing to go onsite 1 day a week Pay: 120-125K plus bonus As an Analytics Engineer, you will play a crucial role within the Business Intelligence (BI) team, responsible for creating and managing datasets, building data pipelines, and supporting the company’s analytics and BI initiatives.. Qualifications: Experience: 4+ years in data analytics, data engineering, software engineering, or a related field.. Strong SQL skills and proficiency in data warehousing tools like Snowflake.. Analyst and clean data within Snowflake Experience with cloud-based data platforms (AWS, Azure) and programming languages/tools (Python, JavaScript).. Proficiency with data visualization tools such as Tableau and/or Power BI. Advanced communication skills with the ability to present complex data to executives.
Lead data governance efforts to ensure accuracy, accessibility, and security.. Translate complex data into actionable insights through interactive dashboards, visual reports, and KPI scorecards using Power BI and Fabric.. Contribute to the optimization, documentation, testing, and tooling efforts aimed at improving data quality and empowering data consumers across the organization Collaboration and Communication Work closely with cross-functional teams, including finance, marketing, and supply chain, to understand their data needs and provide actionable insights.. Skills & Qualifications Bachelor’s degree in Business, Finance, Computer Science, Data Science, Engineering, Economics, or related field 5+ years of experience in business intelligence, data analysis, or a related field.. Proficiency with Power BI Dashboards and analytical acumen Experience with data warehousing, ETL, and data analytics Strong technical and interpersonal skills 5+ years' proven experience with data modeling, Power BI, and SQL. Previous ecommerce, consumer goods or retail experience strongly preferred.
Our customers save millions annually through reduced lost sales, improved customer experiences, fuel loss mitigation, and reduced environmental reserves and fines.. The ideal candidate has strong analytical skills, experience with SQL and data visualization tools, and a passion for data storytelling.. Create and maintain interactive dashboards and reports using Power BI, Tableau, Looker, or similar tools.. Work closely with Data Engineering to: Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from multiple sources Identify opportunities for process automation and efficiency improvements.. 5+ years of experience in data analytics and business intelligence Direct experience with data visualization tools (Power BI, Tableau, Looker).
Data Curation and ETL: Curate data using ETL tools like Tableau Prep, Alteryx, and Microsoft SSIS to ensure accurate and meaningful data preparation.. Data Governance Initiatives: Play a key role in data governance by developing reports and dashboards highlighting data quality issues and subsequently help resolve these challenges.. Required Knowledge and Skills In-Depth SAP Knowledge: Strong technical expertise in SAP master data elements and processes, with a deep understanding of BOMs/routings, operations processes, and MRP setup and operations.. Data Visualization Expertise: Advanced skills in data visualization, with experience in building and managing dashboards using Tableau.. ETL and Data Governance Knowledge: Proficiency with ETL tools and a solid understanding of Master Data Governance processes.
Job Summary: We are seeking a dedicated and experienced Power BI Specialist to join our team.. As a Power BI Specialist, you will play a vital role in facilitating data-driven decision-making and business improvement through effective data management and reporting.. Stay current with Power BI features and best practices: Provide training and share knowledge within the team.. Why we think this job is great: It’s a 100% remote position where you’ll work from home You’ll have the resources you need to learn, lead, and deliver results Qualifications: Proficiency in Power BI, including data modeling, DAX, and Power Query.. Able to support a Work from Home setup Own PC/laptop (Minimum of i3 processor, 4 gig RAM) Internet speed no lower than 10 Mbps download, 10 Mbps upload Can work graveyard shifts.
Position : Business Intelligence Analyst (Onsite) Seeking a full-time, permanent BI Analyst to be an integral addition to their organization!. Responsibilities of the Business Intelligence Analyst : Data mining and data collection to create various reports and ad-hoc reports.. Utilizing Business Intelligence (BI) tools to create visuals and dashboards.. Preferred Experience: Experienced with relational databases like Microsoft SQL Server Database Comfortable writing SQL Queries, and knowledgeable of Stored Procedures Exposure to reporting tools like SSRS Reports, Power BI, Microsoft Excel, and similar Good communication skills Bonus Experience: Knowledge of PHI data practices.. Knowledge of EPIC Location : Orlando, FL (Onsite) Benefits : Competitive Medical/Dental/Vision Insurance, HSA, 2 weeks PTO, 401k w/ 5% match, Life Insurance, etc.
Job Summary:We are seeking a highly analytical and detail-oriented Digital Sales Analyst to support data-driven decision-making across our digital sales operations.. This role is responsible for analyzing sales performance, identifying trends, and providing actionable insights to drive growth through online channels.. The ideal candidate has a strong foundation in data analysis, digital sales metrics, and reporting tools.
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.
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.
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.