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The ideal candidate will collaborate cross-functionally with sales, manufacturing, and supply chain teams to refine forecasting methodologies, enhance efficiency, and support sustainable business growth.. Extensive experience in data science and advanced analytics techniques, including machine learning, predictive analytics, optimization models, and simulation.. Proficiency in data analytics tools (e.g., Python, R, SQL, TensorFlow, Spark) and machine learning frameworks.. Strong expertise in business intelligence tools (Power BI, Tableau, Looker).. Familiarity with ERP and SCM software (SAP, Oracle, NetSuite, etc
This role will work directly with the Chief Operating Officer and other members of the leadership team and has significant exposure and upside professional development potential.. Team Management: Lead, mentor, and manage a team of business intelligence professionals, fostering a culture of collaboration, innovation, and continuous improvement.. Analytics Development: Oversee the design and implementation of advanced analytics models and tools, including dashboards, reports, and predictive analytics, to drive business insights.. Education: Bachelor’s degree in Business Administration, Data Science, Information Technology, or a related field; Master’s degree preferred.. Technical Skills: Proficiency in business intelligence tools (e.g., Tableau, Power BI, SQL), data warehousing, and advanced analytics techniques.
Using Dr. Jeremiah's teaching, we capture, curate, and communicate Bible Strong content through the power of media to share the Gospel with theological and creative excellence.. Collaborate with senior leaders to establish data governance frameworks, ensuring data quality, consistency, and compliance with internal and external standards.. Strong expertise in data architecture, cloud computing (e.g., AWS, Azure, Google Cloud), data storage solutions, and ETL processes.. Proven experience with data management platforms, business intelligence tools (e.g., Power BI, Tableau), and analytics software.. Familiarity with data visualization best practices and storytelling with data.
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.
Strong proficiency in SQL and data visualization tools (Tableau, Looker, Power BI, Grafana), with the ability to create intuitive dashboards that tell compelling data stories.. Experience with statistical programming languages like Python or R for more complex analyses and modeling beyond what SQL can provide.. Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).. Experience with user research and qualitative methods that complement quantitative analysis.. Senior Staff Business Systems Analyst, Sales Artificial Intelligence
The ideal candidate will have a solid foundation in data analysis, data mining, data manipulation, and data visualization.. Main Responsibilities: Use SQL, Excel, BI Platforms (Tableau, Quicksight), and other analytics tools to analyze data from various sources, internal and external, to identify supported requirements, gaps, anomalies and special circumstances, business rules, and data management needs.. Ensure data integrity, accuracy, and governance across multiple data sources and platforms.. 3+ years of experience with Visualization tools like Tableau with ability to visualize data effectively and communicate insights clearly and concisely.. Expertise in business intelligence, forecasting, and performance analytics.
Lead the business intelligence function at Group HR — Centre of Excellence (COE), develop cluster-wide manpower analytics initiatives and frameworks, and oversee the implementation of HR analytics across the cluster.. Manage day-to-day operations, addressing the HR reporting and analytics needs of various stakeholders, including dashboards, predictive analytics (such as scenario simulations), and data analysis from MyHR (SuccessFactors).. Solid understanding of HR systems (especially SuccessFactors) and business intelligence platforms.. Proficiency in data analysis tools and programming languages such as Python, R, and SQL, as well as cloud-based data architectures (e.g., AWS S3, Databricks, Spark, Delta Lake).. Advanced Excel skills and strong capabilities in data visualization tools (e.g., Tableau, Power BI), along with excellent PowerPoint presentation skills.
Senior Analyst, Marketing Business Intelligence (Contract Insights), AbbVie US LLC, Irvine, CA. Partner with stakeholders to answer analytical questions critical to the success of our teams & our customers.. Apply advanced analytics techniques (core statistical-modeling, data visualization, data mining) to extract actionable insights through analysis of large-scale, high-dimensional data.. Must have a Bachelor's degree in Mathematics, Statistics, Operations Research, Computer Science, Business Intelligence/Analytics or equivalent, & 3 years of work experience driving business decisions with data-driven analyses.. Deciphering & generating complex SQL queries using window functions, CTEs & aggregate functions;. In interview setting, must pass company's SQL, data visualization & business acumen test given to all applicants for this position.
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.
Proficiency in Oracle BI technologies such as oracle business intelligence enterprise edition (OBIEE), Oracle BI publisher, and oracle analytics cloud.. Strong knowledge of data modeling, ETL processes, and data visualization techniques.. Experience in OBIEE RPD modeling, designing start/snowflake schemas. OBIEE Expert with a thorough understanding of OBIEEarchitecture and the role of different OBIEE components like Analytic Server, Web Server, RPD, Web Catalog, Security, Dashboards, Reports, iBots and Scheduler. Experience in writing and profiling complex PL/SQL queries and fetch appropriate data from huge data sets efficiently (Oracle)
Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.. Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.. Have a strong data science, machine learning, and statistical modeling background.. Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills.. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.
Our success rests squarely on three bedrock principles: People, our center of gravity; Mission, what inspires us; and an unyielding commitment to Excellence, what separates us.. Job Description: We are seeking a skilled and motivated Power BI Developer to support advanced data visualization and analytics solutions for U.S. Navy and Department of Defense (DoD) initiatives.. Familiarity with and able to create solutions using Power Platform (Microsoft Power Apps, Power Automate, SharePoint as well as Power BI.) Integrate data from multiple structured and unstructured sources, ensuring accuracy, consistency, and compliance with DoD data governance standards.. Required Qualifications: Bachelor's degree in Computer Science, Information Systems, Business Intelligence, or a related technical field; an additional year of relevant experience required in place of a related/technical degree Mid-level understanding of Power BI Desktop and Power BI Service U.S. Citizen with an Active Secret Clearance (Final or Interim) 4+ years of experience developing dashboards and reports in Power BI within a business or federal context.. Knowledge of Agile and DevSecOps best practices in federal environments.
Job Title: Business Intelligence (BI) Analyst. Church Brothers Farms is a vertically-integrated, family-owned and operated company that produces a full line of fresh vegetables year-round through our in-house farming and harvesting programs and state-of-the-art processing facilities.. Develop and maintain dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau, QlikView).. Proven experience (2-4 years) as a Business Intelligence Analyst or similar role in data analysis.. Proficiency in BI tools such as Tableau, Power BI, QlikView, or similar.
AEM, Inc., is a leading manufacturer of high-reliability electronic components specializing in circuit protection, power conditioning, and radio frequency (RF) components.. Data Analysis and Visualization: Advanced Excel (pivot tables, complex formulas, data modeling) and SQL skills for querying and managing large datasets.. Proficient in Tableau or Power BI for creating dashboards and reports that effectively convey insights to stakeholders.. Data Governance and Security: Knowledge of data governance practices for compliance with data security regulations (e.g., GDPR).. Proven proficiency in data analysis tools (e.g., Excel, SQL) and familiarity with data visualization platforms such as Tableau or Power BI.
As part of the Operational Excellence (OpEx) team, this role blends data analytics, engineering, and automation to drive performance and efficiency across Finance and business operations. Contribute to predictive analytics, statistical modeling, or advanced data science initiatives as needed. Strong programming skills in at least one scripting language commonly used in data analysis (e.g., Python, R). Experience using data visualization and reporting tools (e.g., Power BI, Tableau, or similar). As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock.
AEM, Inc., is a leading manufacturer of high-reliability electronic components specializing in circuit protection, power conditioning, and radio frequency (RF) components. Data Analysis and Visualization: Advanced Excel (pivot tables, complex formulas, data modeling) and SQL skills for querying and managing large datasets. Proficient in Tableau or Power BI for creating dashboards and reports that effectively convey insights to stakeholders. Data Governance and Security: Knowledge of data governance practices for compliance with data security regulations (e.g., GDPR). Proven proficiency in data analysis tools (e.g., Excel, SQL) and familiarity with data visualization platforms such as Tableau or Power BI.
You will collaborate closely with HR, Finance, and leadership to align staffing strategies with business goals, provide actionable insights on team utilization, and drive process improvements.. Develop and maintain workforce planning models and dashboards using tools like Excel, Power BI, or Tableau.. Proficiency in Excel (pivot tables, advanced formulas, data modeling) and data visualization tools (e.g. Power BI, Tableau or similar).. Since our inception in 2002, we've expanded our services to include residential mortgage, timeshare default services, a national bankruptcy practice, and title and closing services, reaching clients nationwide.. Manager Store Operations - Workforce Management Executive Director, HR Business Partner - Mid-West South Talent Business Advisor Assistant Director Columbus, OH $131,175.00-$218,625.00 2 weeks ago
Design and maintain dashboards and automated reporting solutions using Power BI, Salesforce, and other analytics tools (e.g., Tableau, Excel) to support data-driven decision-making. Gather business intelligence to support recommended insights and solutions that address prospect’s corporate real estate needs. B.A. in business, economics, urban planning, or commensurate experience. 1 - 3 years of research-focused experience preferably in data analysis, real estate/urban planning, database management. Experience with CoStar, Salesforce, ArcGIS, InDesign is an advantage
AEM, Inc., is a leading manufacturer of high-reliability electronic components specializing in circuit protection, power conditioning, and radio frequency (RF) components.. Data Analysis and Visualization : Advanced Excel (pivot tables, complex formulas, data modeling) and SQL skills for querying and managing large datasets.. Proficient in Tableau or Power BI for creating dashboards and reports that effectively convey insights to stakeholders.. Data Governance and Security: Knowledge of data governance practices for compliance with data security regulations (e.g., GDPR).. Proven proficiency in data analysis tools (e.g., Excel, SQL) and familiarity with data visualization platforms such as Tableau or Power BI.
Your responsibilities will encompass data collection, analysis, reporting, and visualization—contributing to the optimization of operations and enhancement of customer experiences.. Tool Development & Automation: Assist in developing and maintaining automated reporting tools and dashboards to streamline data access and support strategic decision-making.. Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field.. Experience with data visualization tools such as Tableau or Power BI.. Certifications in data analytics tools or methodologies (e.g., Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate).