Top Analytics Jobs in Buffalo, NY

Build and maintain scalable GTM data pipelines, marts, semantic models, and dashboards supporting headcount planning, quota attainment, pipeline, and sales effectiveness. Partner with GTM analysts and stakeholders to establish reliable metrics, enable data tools, document systems, and develop AI-powered natural-language data querying capabilities. Translate complex data concepts for executives and engineers while ensuring high-quality, maintainable data products.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.

Leads a client-facing healthcare analytics team that designs and maintains prior authorization decision automation programs. Consults PaaS clients, develops strategic roadmaps, translates requirements into technical blueprints, analyzes authorization and claims data, and builds KPI reports using visualization tools. Manages direct reports, improves analytics processes and AI tooling, partners with product and engineering teams, and ensures automation outcomes and client KPIs are achieved.

Designs and maintains scalable data infrastructure, ETL/ELT pipelines, canonical datasets, and AI context layers. The role improves data quality and alignment across sales and finance systems, investigates data inconsistencies, leads requirements through UAT and implementation, supports analytics self-service, and partners with cross-functional teams to deliver process improvements and reliable business data.

Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

Own marketing measurement from initial engagement through closed-won revenue. Manage cross-channel reporting tied to Salesforce pipeline, tracking across GA4, advertising platforms, SEO, and AI search. Validate multi-touch attribution, analyze marketing experiments, model budget impact, and recommend investment priorities. Present performance insights to marketing and sales leadership across global regions.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Build and maintain dbt analytics models, SQL transformations, data quality tests, documentation, semantic-layer metrics, and Omni BI dashboards for the Assurance business. Partner with stakeholders on arbitration risk, forecasting, product initiatives, and dealer-facing reporting. Deliver analytical recommendations, respond to urgent questions, and create scalable self-service analytics solutions while independently managing scoped projects and competing priorities.

Provides business analytics and reporting support across multiple projects by developing reports, dashboards, financial models, and data-driven insights. Performs data review, reconciliation, forecasting, process improvement, automation, compliance testing, and project implementation. Partners with executives, managers, vendors, and technology teams to troubleshoot issues, improve processes, and communicate complex financial information clearly.

Manages multiple data visualization teams, overseeing dashboard and report development, BI standards, quality assurance, data storytelling, and self-service analytics. Partners with senior leadership to gather requirements and deliver actionable insights. Establishes visualization best practices, promotes continuous improvement, ensures risk and regulatory compliance, and manages staffing, performance, and team development for 5–8 direct reports.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.

Owns segmentation, forecasting, reporting, and analytics for consumer banking acquisition and direct mail marketing campaigns. Builds campaign files, dashboards, visualizations, and marketing spend forecasts using large datasets and analytical tools. Partners with stakeholders to communicate insights, validate solutions, identify trends, and support strategic decisions. Reviews junior analysts’ work, provides mentorship, and coordinates team activities while ensuring accurate documentation and testing.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

Provides advanced business analytics and reporting support across multiple projects. Develops complex reports, dashboards, and analyses; identifies trends; communicates insights and recommendations; improves processes; supports audits, compliance testing, system implementations, vendors, and departmental operations.

Provides advanced business analytics and reporting support by developing complex reports, dashboards, and insights. Analyzes data, identifies trends, recommends process improvements, supports audits and compliance, and coordinates cross-functional projects involving systems, vendors, technology, and regulatory changes. Communicates findings to management and helps implement business objectives, operational controls, and continuous improvement initiatives.

Leads commercial analytics and business intelligence strategy, including executive dashboards, account reporting, revenue and pricing analytics, operational KPIs, forecasting, segmentation, and predictive modeling. Partners with Sales, Finance, Marketing, Operations, and Product to improve revenue, profitability, customer retention, and marketplace performance. Presents insights to executives and customers while managing analytics teams, budgets, vendors, and BI scalability.

Designs, implements, and maintains ServiceNow Platform Analytics, reporting, dashboards, performance indicators, and CMDB solutions. Develops scripts and database views, ensures data accuracy, establishes analytics governance, supports automation and process improvement, and collaborates with stakeholders and engineering teams. The role also provides training, documents processes, addresses root causes, supports audits and regulatory controls, and mentors teams on ServiceNow analytics and CMDB practices.

Leads analytics and insights for Enterprise Operations, partnering with business leaders to solve operational challenges. Develops complex analyses, dashboards, scorecards, KPIs, and data-driven recommendations. Translates findings into executive narratives, supports process improvement and automation initiatives, measures business impact, and mentors analysts. Requires strong analytical, consultative, communication, and data storytelling skills, with experience using analytics and reporting tools.

Designs and optimizes Power BI dashboards, semantic models, datasets, DAX measures, and reporting solutions for identity governance and administration analytics. Partners with ETL engineers and stakeholders to validate Parquet data from Azure Synapse and SailPoint sources, establish data-quality checks, monitor refreshes, define KPIs, and document data lineage. Supports compliance reporting, access governance, audit readiness, certification metrics, and Zero Trust analytics.

Own executive, board, investor, financial, and operational reporting for leadership. Build scalable dashboards, define consistent KPIs, reconcile data across systems, investigate performance changes, and translate complex business questions into actionable insights. Partner with Strategy, Finance, and senior leaders to automate recurring reporting, improve data accuracy, and support actuals-versus-budget-versus-forecast analysis.

Build and operate Imagine Worldwide’s AWS- and ClickHouse-based analytics platform, including infrastructure, data lakes, Spark processing, ingestion pipelines, Airflow orchestration, dbt models, CI/CD, monitoring, security, backups, and cost optimization. Process billions of device events and integrate program context into reliable analytical datasets. The role also involves incident response, documentation, architectural contributions, and collaboration with globally distributed analytics and operations teams.