Top Senior Data & Analytics Jobs

Designs and optimizes data infrastructure, pipelines, models, and reporting environments supporting finance, treasury, audits, and securitization modeling. Partners with stakeholders to translate business needs into scalable data solutions, integrates data across systems, ensures data quality and lineage, and builds automated validation and monitoring processes. Requires advanced SQL, data architecture expertise, strong communication skills, and familiarity with financial reporting concepts and Snowflake.

Build and operate enterprise integrations and production data pipelines across Salesforce, NetSuite, Workday, Snowflake, and other business systems. Responsibilities include API-led integrations, SQL and Python transformations, data modeling, order-to-revenue workflows, testing, monitoring, data quality, security controls, and production support. Own projects end to end, partner with stakeholders, mentor engineers, and establish reusable engineering practices.

Own the technical design and operation of Palmetto’s governed data platform. Build trusted data products, semantic models, ingestion and transformation pipelines, secure access interfaces, and agent-ready data services. Establish governance, masking, authorization, observability, CI/CD, and audit readiness. Partner with finance, operations, product, and engineering teams while mentoring engineers and setting cross-team technical direction.

Build executive-facing dashboards, scalable data models, semantic layers, and reporting datasets using dbt, Looker, and SQL. Analyze large datasets, identify trends and anomalies, manage the Looker analytics platform, resolve data quality issues, and deliver analytics initiatives across business domains. Partner with product, engineering, finance, and operations stakeholders to define metrics and reporting solutions. Mentor junior analytics engineers and improve analytics standards and documentation.

Own customer analytics and data infrastructure across Shopify, CDP, CRM, and data warehouse systems. Build segmentation, dashboards, retention and lifetime value analyses, and predictive models using SQL and Python. Ensure data quality, governance, identity resolution, and audience activation while partnering with marketing, CRM, ecommerce, merchandising, and leadership. Present actionable customer insights and recommendations to support personalization, campaign measurement, and business decisions.

Designs, develops, deploys, and supports complex data pipelines, integrations, analytics platforms, reporting assets, and Azure-based solutions. Leads technical design, operational reliability, CI/CD, release coordination, compliance-aware data engineering, troubleshooting, documentation, and stakeholder communication. The role mentors junior and mid-level engineers, improves monitoring and automation, supports healthcare data domains, and ensures secure, scalable, and supportable platform delivery across Databricks, dbt, Power BI, Azure Data Factory, Lakeflow, and related technologies.

Maintains a SQL Server sales database, consolidates and validates distributor data, and supports sales commission calculations and territory changes. Develops reports, dashboards, and analytical tools using SQL, Excel, and Power BI to monitor KPIs and sales performance. Performs business analysis, resolves data discrepancies, automates processes, supports continuous improvement, and partners with management and cross-functional teams on operational requests.

Leads the marketing analytics function and enterprise analytics strategy across client reporting, retailer insights, business intelligence, measurement, and operational analytics. Partners with executives to translate complex data into strategic recommendations, oversees advanced analytics and BI platforms, and manages reporting, governance, forecasting, attribution, and ROI analysis. The role also leads, coaches, and develops a high-performing analytics team while collaborating across sales, finance, operations, client services, and technology.

Leads the marketing analytics function and enterprise analytics strategy, covering client reporting, retailer insights, business intelligence, measurement, forecasting, attribution, ROI, and operational analytics. Partners with executives to translate complex data into strategic recommendations, oversees dashboards, BI platforms, data governance, and analytics solutions, and leads a high-performing analytics team. Collaborates across Sales, Finance, Operations, Client Services, and Technology to drive growth, retention, and performance.

Leads people analytics initiatives by building scalable workforce datasets, data models, dashboards, and executive insights. Performs statistical analysis, forecasting, scenario modeling, and cross-system workforce analytics using Workday and enterprise data platforms. Partners with HR, HRIS, IT, Finance, and business stakeholders to improve data quality, governance, and decision-making. Guides project delivery, supports predictive and AI-enabled analytics, mentors analysts, and serves as a senior technical escalation point.