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Senior BI Analyst, Corporate Finance (Contract).. Build powerful insights: Develop, design, and maintain dynamic Power BI dashboards, SQL queries, and comprehensive analytics. Strong proficiency in SQL, Excel, and building dashboards with BI Tools, especially Power BI. The ability to read an ETL pipeline and effectively collaborate with Data and Software Engineers. The ability to influence without direct authority, guiding cross-functional teams like Business Intelligence, Data Science, Operations, Finance, and Treasury.
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.
We are seeking a Revenue Operations Analyst with a strong foundation in data analysis, strategic insight, and sales process optimization.. Advanced proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and creating impactful dashboards.. Expert-level proficiency in Microsoft Excel (pivot tables, VLOOKUPs, advanced formulas).. Familiarity with statistical analysis tools (e.g., R, Python) for more advanced modeling.. Knowledge of lead scoring, account-based marketing (ABM), and customer lifecycle management.
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.
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.
We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Job Duties: Lead, build and implement analytics functions for Honey features, conduct impactful data analysis to improve customer experiences and inform product development. Develop machine learning-based models to improve forecasting and predictive analytics. Develop machine learning models to segment customer behavior, identify market concentration and volatility using Python and Spark ML. Deploy self-serving data visualization tools, automating, generating reports and consolidating visually on tableau dashboards
Our client is a growing manufacturing company that provides global solutions and cutting-edge technology for the transportation industry!. Utilize Power BI to create dashboards and visualizations that provide actionable insights. Apply R and Python for data analysis, statistical modeling, and process automation. Hands-on experience with Power BI for data visualization and reporting. Familiarity with cloud-based platforms and data engineering concepts.
Design, build, and maintain executive and operational dashboards using Tableau, Salesforce (SFDC), and other BI tools.. Leverage advanced data visualization and storytelling skills to communicate trends, opportunities, and risks to stakeholders at all levels.. Advance the use of AI, machine learning, and automation for predictive analytics and process optimization.. Build and lead a high-performing BI & Analytics team proficient in SQL, Tableau, Python, Excel, and modern data management tools.. Work closely with Product, Marketing, Sales Enablement, Customer Success, and Finance to align analytics projects with business priorities.
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.
This role demands deep expertise in Microsoft Power BI ecosystem administration and development, combined with proven leadership in guiding technical teams and engaging directly with business stakeholders.. Design and implement robust data pipelines connecting SQL Server and Snowflake to Power BI environments. Migration Leadership : Hands-on experience leading large-scale Power BI migrations from legacy or acquired platforms (Cognos, SSRS, & Power BI) with minimal business disruption. Snowflake Experience : Practical experience with Snowflake data warehouse including SQL development, performance optimization, and Power BI integration. Data Governance Tools : Experience with data catalog solutions, lineage tracking, and metadata management platforms
Join to apply for the Power BI Developer role at Presidio. Senior Talent Acquisition Specialist (PM) at Careerbuilder Sourcing Solutions Presidio is seeking a Power BI Developer for their client located in King of Prussia, PA.. We are looking for a Senior Power BI Developer & Business Analyst who can bridge the gap between data analytics and business strategy.. Familiarity with SSRS and Power BI, Python, R, Power Query is a plus.. Senior Data Analyst with Snowflake experience HR Data Analyst - Operations Analyst Program: August 2025 Start Customer Remediation Data Analyst - Consumer & Business Banking Risk Horsham, PA
Business Intelligence Engineer I - Robotics Supply Chain Business Intelligence Engineer. Evaluate the performance of the robotics supply chain and order management processes.. Employ data mining, model building, segmentation, and other analytical techniques to capture important trends.. Develop Tableau dashboards and other visualization tools to present actionable insights.. Proficiency in SQL and experience with data visualization tools.
This role involves working with various reporting platforms such as Power BI, Looker Studio, and other BI tools to create insightful visualizations that support decision-making.. Design and build interactive dashboards and reports using Power BI, Looker Studio, and other visualization tools.. Create and implement impactful dashboards using Power BI, Looker Studio, or Tableau to drive decision-making. Experience with BI tools such as Power BI, Looker Studio, Tableau, MongoDB (or similar). Familiarity with cloud-based data platforms such as Google BigQuery, Azure Synapse, or AWS Redshift.
Power BI Solution Architect, Performance tuning. Demonstrate strong knowledge of Data Analysis Expressions (DAX) to create complex calculations and aggregate data effectively within Power BI. Leverage DAX to optimize the performance of reports and analytics.. Provide training and support to end-users on Power BI functionality, best practices in data interpretation, and dashboard utilization.. oPartner with data engineers to ensure optimal data integration between Redshift and Power BI.. Data Architect With Regulatory Experience - Onsite Data Architect /Engineer with Scrum Master
What You'll do as a Manager, Business Intelligence and Analytics Responsible for the statistical modeling, metric definition and visualization that enables business leaders to make decisions throughout the organization.. Provide comprehensive review of financial and operational performance using data visualization across multiple forms of media.. Advanced technical knowledge of PL/SQL, SSIS, SSRS, SSAS and Tableau Preferred: Advanced technical knowledge of BI tools for visualization, data exploration, data warehouses, and presentation skills.. TOAD, SSMS, SSRS, Tableau desktop, Tableau site administration, Power BI, Oracle E-Business Suite, Oracle Database. We are not only committed to this policy by our status as a federal government contractor, but also we are strongly bound by the principle of equal employment opportunity.
Develop dashboards and reports using tools like Power BI, Tableau, or and Amazon QuickSights.. What you will bring Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.. Proficient with data visualization tools and dashboard building (Power BI, Tableau, Looker, etc. Proficient in SQL, Excel, and one or more of Python, R, or SAS.. Experience working with cloud data platforms (e.g., AWS Redshift, Snowflake, Google BigQuery).
Dashboards & Visualization: Build and maintain dashboards and data visualization tools to monitor key performance indicators (KPIs) and track the success of various initiatives.. Proficiency with SQL, Python, R, or other analytical tools for data manipulation and analysis.. Strong experience with data visualization platforms (e.g., Tableau, Power BI, Looker).. Familiarity with cloud platforms (AWS, Google Cloud) for data storage and processing.. Knowledge of A/B testing, predictive analytics, and statistical modeling.
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.
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.