Top Data & Analytics Jobs

Designs, develops, supports, and optimizes enterprise data pipelines, ETL processes, integrations, data models, quality controls, dashboards, and reporting solutions. Partners with business and technology stakeholders to translate requirements into technical solutions, troubleshoot data and performance issues, support production operations, and maintain governance, regulatory, and control standards. The role is primarily onsite in Buffalo, New York, with one remote day weekly.

Leads quantitative and qualitative research, evaluation, and data analysis initiatives supporting California Community College student success, equity, and policy goals. Responsibilities include analyzing complex datasets with Stata, SQL, R, or Atlas.ti; managing projects through planning, implementation, and reporting; producing research reports, policy briefs, presentations, dashboards, and visualizations; translating findings into recommendations; advising stakeholders; and representing the organization at meetings and conferences.

Designs and optimizes SQL and dbt transformation pipelines, scalable data models, semantic layers, and reusable business metrics. The role uses dimensional modeling, Data Vault 2.0, and Anchor Modeling across Snowflake, Databricks, and Azure. It partners with stakeholders to establish consistent, high-quality single-source-of-truth data, supports BI and future machine learning use cases, and follows Git-based development, testing, cataloging, lineage, and code-review practices.

Supports utility performance reporting, KPI and scorecard data validation, trend analysis, leader and coworker engagement activities, and strategic initiative tracking. Prepares recurring reports and analyses, coordinates meetings and follow-up, maintains schedules and documentation, identifies data issues and risks, and contributes to process improvements while collaborating with leaders and stakeholders.

Analyzes constellation capacity, customer demand, product usage, revenue, pricing, and operational performance. Maintains and improves Python- and SQL-based workflows and business intelligence datasets, develops quantitative analyses for Product and Sales teams, and translates complex data into actionable recommendations for technical and non-technical stakeholders.

Analyze marketing performance across television, search, social, email, and display channels; conduct exploratory analysis, A/B testing, attribution modeling, and campaign optimization. Build reports and maintain dashboards using Power BI and DAX, audit data quality, validate attribution, and translate complex insights into recommendations for marketing and business stakeholders.

Conduct market research and analysis on ADAS, autonomous driving, electronics, and automotive supply chains in North America. Develop forecasts, build industry relationships, identify technology trends, support sales and business development, present insights to stakeholders and clients, and contribute to industry reports and publications.

Designs and develops user-friendly dashboards, visualizations, reports, and analytic solutions. Collaborates with business stakeholders, data engineers, and data scientists to deliver actionable insights. Responsibilities include SQL-based data extraction, data quality controls, visualization governance, analytics tool administration, reporting, user support, privacy review for PHI, and communicating findings through presentations.

Owns global commercial performance reporting, volume forecasting, market share analysis, and performance management across AB InBev. Develops standardized reporting, analytical methodologies, and executive-ready insights to identify risks, opportunities, and business drivers. Partners with Commercial, Finance, Revenue Management, and regional teams to improve data quality and decision-making. Leads forecasting enhancements, performance decomposition, automation, visualization, and strategic analyses for senior leadership.

Summer data analytics internship providing hands-on experience alongside utility industry professionals. Interns receive mentorship, participate in networking activities, and apply academic knowledge in data analytics, data science, computer science, mathematics, or statistics. Applicants must be enrolled undergraduate or graduate students, maintain a 3.0 GPA or higher, and hold a valid driver's license.