Top Data & Analytics Jobs

Own marketing analytics across paid media, ecommerce, lifecycle, retention, Amazon, and DTC channels. Build source-of-truth dashboards, measure CAC, ROAS, conversion, and channel contribution, and develop incrementality tests and media mix models. Partner with Growth, Product, and Finance on experimentation, forecasting, budget allocation, and membership economics. Translate complex analyses into actionable recommendations for executives while maintaining accurate warehouse-based reporting and identifying performance opportunities.

Entry-level Business Analysts analyze credit risk, pricing, underwriting, partnerships, and business operations. Responsibilities include using quantitative and qualitative data, SQL or Python, visual analytics, estimation, simulation, competitive analysis, and KPI development to support data-driven decisions. Analysts identify improvement opportunities, evaluate business changes, communicate findings, collaborate cross-functionally, and present recommendations to stakeholders and senior management.

Leads medium- to large-scale analytics projects and client relationships while conducting data analysis, managing data infrastructure, building reports and calculators, and preparing client presentations. Provides strategic insights, oversees deadlines and quality, mentors analysts, collaborates with data science and technical teams, and communicates findings to technical and non-technical stakeholders.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Leads a team delivering Customer Success reporting, dashboards, KPI frameworks, and operational analytics. Oversees reporting accuracy, data integrity, recurring metrics, workflow improvements, and automation. Partners with Customer Success and services leadership to translate business needs into analytical requirements, prioritize initiatives, standardize reporting methodologies, and communicate performance insights. Coaches analysts, manages workload and development, and supports data-driven operational decision-making and scaling.

Analyze complex datasets to identify trends, patterns, anomalies, and business opportunities. Develop KPIs, perform root-cause analysis, build Power BI dashboards using DAX, SQL, and Power Query, validate data quality, automate reporting, and translate findings into actionable recommendations for business stakeholders.

Conduct online research, gather and verify information from multiple sources, evaluate source reliability, and prepare structured notes, summaries, and reports. Identify organizations, professionals, publications, and industry data while maintaining accurate source records. The role requires clear written English, strong attention to detail, analytical thinking, consistent documentation, and independent time management.

Analyze and design enterprise healthcare data solutions using Snowflake and advanced SQL. Perform data profiling, reconciliation, anomaly detection, source-to-target validation, and quality testing across claims, membership, provider, and health plan data. Support data architecture, dimensional modeling, governance, metadata, lineage, cataloging, and MDM initiatives. Prepare data for AI and advanced analytics, translate business requirements into solutions, resolve data issues with stakeholders, and communicate actionable insights while following security and HIPAA requirements.

Translate business needs into functional and technical requirements for internal web applications. Facilitate requirements sessions, analyze business processes and existing systems, create workflow and interface diagrams, define acceptance criteria, support user acceptance testing, coordinate project planning, communicate initiative status, ensure SDLC and change-management compliance, and mentor junior business/system analysts.