Gathering details
Loading data
Lead data science and analytics initiatives across core retail functions like merchandising, pricing, supply chain, customer behavior, marketing, and omnichannel operations.. Build, deploy, and manage machine learning models and statistical algorithms for forecasting, segmentation, recommendations, and optimization.. Work closely with data engineering teams to ensure data availability, quality, and proper pipeline design.. Proficiency in tools and languages such as Python, R, SQL, Spark, and Databricks.. Hands-on experience with data visualization tools like Power BI, Tableau, or Looker.
5+ years of experience in business intelligence, business analysis, data analysis, or a similar role. Proficiency in BI tools such as Grafana, Power BI, Tableau, or similar. Ability to translate complex data into clear, actionable insights. We are seeking a detail-oriented and analytical Business Intelligence Analyst to join our team. In this role, you will collect, clean, visualize and transform data into actionable insights.
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 update Domo dashboards and other visualization tools to support business intelligence, ensuring they are interactive and insightful.. Conduct advanced statistical analyses using R, Python, or SAS to verify datasets and model outputs, ensuring data integrity.. Proficiency with visualization tools like Domo, Tableau, Power BI, or Looker.. Familiarity with web analytics tools such as Google Analytics and Adobe Analytics.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. As a Senior Business Intelligence Analyst, you will play a pivotal role in analyzing Pinterest datasets and developing visualization dashboards to extract insights at scale. Data Strategy: Master the Pinterest dataset and collaborate with colleagues and cross-functional partners to explore future analytical opportunities that uncover advertiser value through data analysis.. Proven expertise in data visualization tools such as Tableau and Looker, with familiarity in advanced custom visualization platforms like Streamlit or Plotly Dash. Proficient in Python and highly skilled in SQL, including experience with extracting large datasets, designing ETL workflows using tools like Apache Airflow, and optimizing complex queries with Spark.
· Manage and maintain the data integrity of HubSpot, ensuring accurate tracking of sales opportunities, customer interactions, case resolution and pipeline management.. · Analyze performance data from digital marketing channels (e.g., email, social media, paid search, display, SEO) to assess the effectiveness of campaigns.. · Identify and recommend areas for improvement or investment based on historical performance and predictive analytics.. Familiarity with business intelligence tools (e.g., Tableau, Power BI) and data visualization.. CRM Expertise: Proficiency in HubSpot CRM, including configuration, reporting, campaign sequences and pipeline management.
Liaise with Business Intelligence and Marketing Analytics team(s) to maintain best in class Tableau dashboards and business objects reporting.. Maintain and catalogue periodical analysis and reporting distributed to internal and external customers inclusive of all tableau dashboards and business objects reports inclusive or purpose and overview.. Must understand advanced analytical modeling and/or accounting practices and techniques, including knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.. Advanced use of Excel, Tableau and Essbase preferred.. Knowledge of travel/cruise industry and reservation/revenue management systems, Essbase and Hyperion preferred.
- Regulatory Reporting Automation: Partner with the finance and compliance teams to streamline and automate regulatory reporting processes. Create reporting dashboards and monthly financial reports using SQL and data tools such as Mode and Looker. Proficiency in data visualization tools (e.g., Tableau, Power BI).. Experience with data engineering concepts and tools (e.g., ETL processes, data warehousing).. Knowledge of machine learning techniques and their applications in fintech
Kwaan Tech is seeking a highly qualified Data Scientist to join our team in support of the Department of State (DOS) Bureau of Consular Affairs (CA), Office of the Comptroller (C), Oversight and Data Division (ODD).. The ideal candidate will excel at analyzing large datasets, developing predictive models, and creating visualizations using tools like Power BI and Python to support strategic planning and resource allocation.. Design data modeling processes, create algorithms and predictive models, and perform ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as predictive modeling and machine learning.. Utilize analytics tools and artificial intelligence (AI) for data visualization and business intelligence (BI), such as Power BI.. Intermediate/Expert knowledge and experience of Excel, Power BI, Power Automate, and PowerApps.
Business Technology Integrators (BTI), Government Contracting Company located in Upper Marlboro, Md. is seeking an Experience Chief Enterprise Architect (Business Intelligence)Position will be located in Washington DC or Germantown MD with an Active TS Clearance.. Experience designing/develop solutions for dashboards, creating automated dashboards, developing multiple views and integrate them into dashboards using a combination of predictive analytics and real-time reporting for accurate data-driven intelligence.. Experience also supporting and maintaining entire business intelligence backend, including data warehouses and data lakes to produce machine learning (ML) and artificial intelligence (AI) insights to support reporting and analysis outcomes.. Experience leading use Extract, Load, Transform (ETL) processes across a variety of data sources to design/develop solutions for aggregated facts using metadata, creating processes to manage high volumes of data at one time, and optimize data modeling and database solutions to sustain data governance and data democracy.. Must have at least ten (10) years of experience as data architecture, BI developer, or BI manager with extensive use of data components and information management systems (transactional data) to determine platforms, processes, and procedures for central data warehouse based on business requirements and technical specifications.
We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights.. Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.. Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.. Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
Applicants must have at least 3 years of experience working with Power BI who can study, analyze, and understand business requirements in the context of business intelligence.. Proficiency in running DAX queries and functions in Power BI, identifying requirements to develop custom charts, and using SQL querying for improved results is essential.. Must have the ability to pass a Tier 2 MBI background investigation.. Develop and maintain applications using Microsoft Power Platform suite (Model-driven and Canvas App, Power BI, Power Automate, Power Pages/Portals, Portal Management MDA, Power Apps Pipeline) in an Azure environment.. Flexible work from home options available.
About the RoleWe are seeking a Business Intelligence Manager that will play a crucial role in driving the company metrics that empower the Inspiren team with the data-driven insights and recommendations needed to make informed decisions to optimize operations.. About YouEducational Background: Bachelor's or Master's degree in Finance, Accounting, Business Administration, Economics, Engineering or related field.. Experience: 5+ years of experience in business intelligence, data analytics, financial analysis or a related role (preferably within a SaaS/hardware or healthcare technology company).. Proficiency in Microsoft Excel (advanced formulas, pivot tables, data visualization).. Experience with data visualization and reporting tools (Tableau, Power BI, etc
Lead big data-related projects across multiple areas including planning, transportation safety, planning, traffic operations, and transit/rail. Ability to implement common data management and reporting technologies, including the basics of columnar databases, unstructured data, and data visualization in Esri products (ArcGIS Online), Power BI or other tools. Familiar with Low-Code/No-Code experience, MicrosoftPowerApps, Databricks, ElasticSearch, MongoDB, Tableau, Azure, GTFS data. Advanced knowledge of machine learning, data mining, statistical predictive modeling programming, simulation, and advanced mathematics. Extensive experience using many of the following technologies: Python (Pandas, NumPy, SciPy), R (tidyverse), SQL, Tableau, Power BI, advanced Microsoft Excel, machine learning, statistical analysis.
Azure Databricks & Power BI is must. The ideal candidate will also possess expertise in SQL Query, Databricks Lakehouse, Azure Databricks, and DBT to enhance our data analytics capabilities.. The expert will also be responsible for developing complex DAX queries to support reporting needs while leveraging Databricks for data processing and transformation.. Implement data processing workflows using Azure Databricks, ensuring smooth integration with Power BI.. Expertise in SQL Query, Databricks Lakehouse, Azure Databricks, and DBT.
As part of the EDMA Community of Practice (COP), you’ll partner with analytics leaders across the company to design a coordinated cadence of reporting and analysis. Support the broader EDM COP with best practices, data standards, and alignment across the analytics community. Proficiency in Tableau, SQL, Snowflake, and DBT, with hands-on experience building dashboards and exploring data models. Experience with Power BI, Salesforce, Adobe Analytics, and Python for data analysis. Background in data governance, storytelling, or management consulting, with a strong understanding of how to align analytics with business strategy.
Reporting to the Chief Financial Officer (CFO), this position will lead the project and integrated technologies to strengthen APFC’s data infrastructure.. Oversee the implementation and optimization of the APFC data warehouse to improve data management, reporting, and investment operations.. Familiarity with BlackRock Aladdin, Nexen or similar investment analytics platforms.. Proficiency in business intelligence tools such as Power BI, Tableau, or similar reporting platforms.. Certification in Agile, Scrum, or Project Management (PMP, CBAP, PMI-ACP).
Collaborate with cross-functional teams (e.g., Marketing, Finance, Product, Operations) to identify business needs and translate them into scalable BI solutions.. Oversee the design and optimization of data models, dashboards, and reporting tools using platforms such as Power BI, Tableau, Looker, or similar, ensuring usability, scalability, and performance.. Partner with data engineering and IT teams on data architecture and governance initiatives.. Proficiency with BI tools (e.g., Power BI, Tableau, Looker), Alteryx and SQL.. Strong understanding of data warehousing concepts and modern data platforms (e.g., Snowflake, Redshift, BigQuery).
We are seeking a highly skilled and experienced Data Scientist to join our Data Warehouse & Analytics team.. The ideal candidate will have a strong background in Snowflake, Python, machine learning, and AI to drive data-driven decision-making and predictive analytics.. Design and maintain scalable and robust data pipelines in Snowflake.. Minimum of 3 years of experience in a data science role, with a focus on Snowflake, Python, SQL, Machine Learning, and AI.. Minimum of 3 years of experience in Tableau or any other data visualization tool
You will use your expertise in data analysis, particularly with Tableau and Power BI, to deliver insights and visualizations that support decision-making processes.. DoD Secret Clearance required.. Data Analytics and Visualization : Provide analytical support, including the development of dashboards and reports using Tableau or Power BI.. Records Management and Compliance : Manage records data, including FOIA declassification and records scheduling.. Proficiency in Tableau and/or Power BI for dashboard creation and data visualization.