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Write complex SQL queries that help Client’s Organization understand the user behavior with Products.. Use Big Data best practices to help scale the analytics and Insights process.. Create dashboards in Power BI and Tableau, Apply statistical methodologies and data mining skills to large volumes of data.. Can work in hive, pig etc. Create dashboards in tableau and excel Modelling in Excel.
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.
Directs the design for health equity predictive analytics modeling and advanced data visualization techniques. Uses experience working with Big Data and/or data systems; predictive modeling for risk behaviors in healthcare; data collection methods and data quality management techniques; database management concepts and requirements gathering, and data presentation or informatics. Advanced knowledge of population health segmentation, Predictive Analytics, Exploratory data analysis, Data mining, (tagging implementation and data extraction) and marketing models such as profit, response models required. Proven experience as an Epic EHR certified Cogito Business Intelligence Developer, including Epic native Dashboards (Radar) and.. Epic Clarity Clinical Data Model Certification preferred.
Head the design, development, and deployment of Power BI and SSRS reports and dashboards. Serve as the tenant admin for Power BI and work with the internal security team to ensure data security and compliance with relevant regulatory requirements. Strong understanding of data modeling, data visualization concepts, and ETL processes (e.g., SSIS, Azure Synapse, Informatica, Snowflake) required. Familiarity with data warehouse concepts (e.g., Azure Blob Storage, Snowflake, Redshift) is required. Experience with Power Pivot, SSRS, Azure Synapse, or other reporting tools required.
This role will be pivotal in driving our business intelligence initiatives by developing and maintaining our Predictive Analytics capabilities, Media Model data review and conducting advanced statistical analyses. Develop and Maintain Dashboards: Create and maintain Domo dashboards and other data visualization tools to support business intelligence initiatives, ensuring they are interactive and insightful. Statistical Analysis: Conduct advanced statistical analyses using R, Python, or SAS to quality check datasets and model outputs, ensuring the integrity of data insights. Proficiency with Domo, Tableau, Power BI, or Looker. Experience with advanced statistical analyses using R, Python, or SAS.
Develop and maintain dashboards, reports, and data visualizations using Power BI. Strong proficiency in Microsoft Excel (pivot tables, advanced formulas). Experience with Power BI for building and managing dashboards and reports. Ability to work independently in a fully remote environment. Experience with other data visualization tools (e.g., Tableau, QlikView)
The ideal candidate will be responsible for transforming complex datasets into actionable insights, leveraging advanced statistical techniques, machine learning models, and data visualization tools.. Develop, test, and implement machine learning models for predictive analytics.. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.. Experience with data visualization tools like Tableau, Power BI, or similar.. Strong understanding of deep learning, natural language processing, and computer vision.
Collaborate with stakeholders across sales, marketing, product, and operations to understand reporting needs and provide analysis.. Ensure data quality through checking, cleaning, and transformation according to standards.. 7+ years of experience in consulting, data analysis, business intelligence, or related fields.. Additional skills that are a plus include experience with data visualization tools (Power BI, Tableau, QlikView), SQL, Python, R, SAS, web analytics platforms, data governance, data modeling, database management systems, big data platforms (Snowflake, Azure, Redshift, etc.). Note: No visa sponsorship is available; applicants must be authorized to work in the U.S.
The role has a primary mandate as an individual contributor to provide advanced data analytics support to Enterprise Risk’s - Credit Risk Review audit function. Join our team to play a crucial role in strengthening our credit risk management capabilities while developing your expertise at the intersection of finance, risk, and technology. Proficiency in data analysis and reporting tools (SQL/SAS, Excel advanced functions, Power BI, Tableau).. Advanced Excel (pivot tables, VBA, complex formulas).. Data visualization tools (Power BI, Tableau) or displayed ability to learn new tools
We have an exciting opportunity for a Business Intelligence (BI) Data Analyst with the top leading multimedia and creative software company in the world using cutting-edge tools and technologies, including industry-leading AI and creative software, empower millions of users to achieve their creative and business goals.. Implement row-level security and understand application security layer models within Power BI.. Experience with data transformation & ELT pipelines, working with large data sets using tools such as Databricks, Snowflake, SQL, Python, and Jupyter Notebooks.. Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker) and strong problem-solving skills.. Experience with building and deploying machine learning models and ML pipelines (e.g., Sklearn, TensorFlow, PyTorch, KubeFlow, MLFlow, SageMaker) is a plus.
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.
Data Analyst Intern Primary Function: 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.. Specific Knowledge, Skills, and Abilities: 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.
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 ideal candidate will have strong expertise in a variety of data visualization tools and platforms such as Tableau, Power BI, Qlik and SAS, and Oracle Reporting.. This position will support the CDAO office initiative within the Defense Health Agency (DHA), driving data-driven decision-making processes and enhancing healthcare delivery through intuitive, interactive dashboards.. Utilize various data visualization tools like Tableau, Power BI, Qlik, SAS, and others to create intuitive, easy-to-understand visual representations of complex data.. Demonstrated proficiency with data visualization tools such as Tableau, Power BI, Qlik, SAS, and familiarity with statistical programming languages like Python and R.. Knowledge of Defense Health Agency (DHA) programs and initiatives, and Military Health System (MHS) analytics.
We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. Apply advanced analytics techniques (core statistical-modeling, data visualization, data mining) to extract actionable insights through analysis of large-scale, high-dimensional data. Must possess a Bachelors degree in Mathematics, Statistics, Operations Research, Computer Science, Business Intelligence/Analytics or equivalent. deciphering & generating complex SQL queries using window functions, CTEs & aggregate functions;.. In interview setting, must pass companys SQL, data visualization & business acumen test given to all applicants for position.
Data Curation and ETL: Curate data using ETL tools like Tableau Prep, Alteryx, and Microsoft SSIS to ensure accurate and meaningful data preparation.. 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.. ETL and Data Governance Knowledge: Proficiency with ETL tools and a solid understanding of Master Data Governance processes.. With ETL tools like Microsoft SSIS, Tableau Prep or Alteryx. Exposure to cloud data tools like Snowflake or Databricks
Job Title: Business Analyst II - MIS, Merchant Services. Proficiency in SQL for data extraction, transformation, and performance optimization.. Experience using Sigma and Mode for data visualization and reporting.. Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) is a plus.. Understanding of business intelligence (BI) and data governance best practices.
The ideal candidate will be responsible for developing and maintaining business intelligence solutions using Power BI, with a focus on data visualization, analysis, and reporting.. In addition to expertise in Power BI and Excel, the candidate should possess knowledge in SQL, Power Automate flows, and ServiceNow reporting.. Leverage knowledge of ServiceNow to extract, transform, and load data into Power BI.. Apply basic knowledge of IT service desk operations and Asset Management Database (AMDB) concepts.. o Advanced understanding of data warehousing concepts, including star and snowflake schemas.
Products may be developed using off-the-shelf software such as Qlik, Tableau, PowerBI, or other DoD-approved software.. Experience with Visualization tools such as Qlik or Power BI. Experience extracting, transforming, and structuring data to support exploratory analytics and visualization.. Experience with machine learning, with statistical modeling, and/or time-series forecasting analytics is preferred.. About Elder Research, Inc: Elder Research is a fast growing consulting firm specializing in predictive analytics.. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems.
As a Power BI Developer within our Business Intelligence (BI) team, you will play a crucial role in transforming raw data into actionable insights for strategic decision-making within our organization.. Leveraging your expertise in data visualization and analytics, you will collaborate with cross-functional teams to design, develop, and deploy Power BI solutions that drive business value.. Dashboard and Report Development: Develop interactive and visually compelling dashboards and reports using Power BI, ensuring ease of use and accessibility for stakeholders.. Data Governance: Implement data governance best practices to ensure accuracy, consistency, and security of data within Power BI solutions.. Power BI certifications (e.g., Microsoft Certified: Data Analyst Associate, Microsoft Certified: Power Platform App Maker) are preferred but not required.