Top Data & Analytics Jobs

Analyzes user behavior, content metadata, engagement patterns, and topic relationships to support personalization, taxonomy, ontology, content strategy, and product decisions. Builds dashboards, identifies content gaps and behavioral trends, segments users, supports experimentation, and communicates actionable insights to product, editorial, ML, and personalization teams.

Analyzes healthcare marketing data processes, reporting requirements, transformations, and data quality across databases and platforms. Develops reporting tools, identifies anomalies and data loss, troubleshoots aggregate and PLD issues, manages metadata, supports data delivery, publishes campaign metrics, and performs ad hoc analysis. Requires SQL querying, visualization, dashboard development, client communication, quality assurance collaboration, and actionable recommendations.

Partner with business leaders to define and operationalize KPIs, build scalable dashboards and data models, perform deep analyses to uncover insights, and translate findings into actionable recommendations. Deliver recurring and ad-hoc analyses, ensure data accuracy and accessibility, and use AI-assisted tools to accelerate workflows while validating results for impact on growth, efficiency, and customer satisfaction.

Account Executives at LinkSquares manage the entire sales process, focusing on new customer acquisition through research, outreach, and closing. They prioritize teamwork, quotas, and deadlines while driving business opportunities in a collaborative culture.

Own data quality and operational reliability across Snowflake data pipelines. Responsibilities include monitoring jobs, managing incidents, maintaining runbooks, administering Monte Carlo, creating data quality checks and dashboards, validating bordereau and financial data, supporting UAT and integrations, analyzing trends, and partnering with engineering and business stakeholders to resolve data issues and improve processes.

Leads enterprise data governance initiatives, including policy and standards development, governance conformance, data quality, metadata requirements, and data issue resolution. Facilitates cross-functional decisions among business and technical stakeholders, manages governance artifacts, supports privacy and regulatory compliance, and delivers training to improve responsible data use and data literacy.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Analyzes technology risk data across the full analytics lifecycle, from defining business questions and sourcing data to performing advanced analysis and presenting insights. Develops dashboards, visualizations, workflows, and applications that support risk teams, automate manual processes, and answer complex business questions. Collaborates with stakeholders, handles ad hoc analyses, and communicates findings clearly to varied audiences.

Analyzes and improves third-party wealth management data across providers, feeds, intermediaries, enterprise platforms, and reporting systems. Responsibilities include maintaining data dictionaries and lineage, profiling and reconciling accounts, positions, transactions, and balances, identifying root causes, quantifying business impact, creating provider scorecards, and driving remediation with internal teams and external partners. The role also develops reusable analytical standards, automation, documentation, and executive-ready recommendations.

Designs and maintains scalable data pipelines and architectures for operational, intelligence, and mission data. Develops dashboards, visualizations, data models, and AI-enabled analytics using Python, Maven Smart System, Palantir, and Power BI. Performs data integration, cleansing, scraping, exploitation, and predictive analysis while supporting C-UAS operations, assessments, acquisition decisions, and strategic planning. Produces technical documentation and executive briefings, ensures data governance and security, and collaborates with mission stakeholders.

Develop and maintain Power BI reports, semantic models, dashboards, and DAX/Power Query logic. Write SQL queries against Snowflake, support data modeling and quality, and implement governance, security, access controls, and documentation. Build workflow automations with Microsoft Power Platform and SharePoint, explore AI-enabled capabilities, and collaborate with stakeholders to translate business needs into analytics solutions. Communicate insights, lead training, and support adoption of analytics products.

Analyzes large customer, web, firmographic, and advertising datasets to improve digital experiences and marketing outcomes. Responsibilities include defining data requirements, building automated data enablement tools and visualizations, measuring digital programs, supporting predictive models, and communicating insights to technical and non-technical stakeholders. The role collaborates across IT, marketing, sales, engineering, and analytics vendors to advance data-driven decision-making.

Develops and supports Creatio CRM, Power BI, and Cognos analytics solutions; creates data models, dashboards, reports, workflows, and governed self-service analytics. Translates business requirements into secure reporting solutions, performs SQL-based analysis, manages data quality and governance, supports testing and deployments, troubleshoots users’ issues, and delivers training and documentation. Partners with stakeholders across technology, risk, compliance, finance, and operations to improve decision-making and business performance.

Supports financial risk data governance across market, interest rate, credit, and liquidity risk. Responsibilities include defining data meaning and ownership, documenting business rules and controls, identifying data quality issues, supporting remediation, clarifying processes, and preparing concise updates for stakeholders and leadership. The role requires strong communication, organization, attention to detail, and banking risk experience, but does not involve development, coding, advanced SQL, or dashboard creation.

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

Develops analytical deliverables, business and marketing performance reports, dashboards, and data visualizations. Queries and transforms large datasets, conducts customer and campaign analysis, automates data processes, and provides actionable insights for strategic decisions. Collaborates with clients and cross-functional stakeholders, presents findings, and serves as a subject matter expert in customer analytics, program effectiveness, and financial reporting.

Analyze adoption, usage, colleague experience, sentiment, and business impact data to support firm-wide transformation initiatives. Build and maintain Power BI dashboards, automated reports, and performance monitoring solutions. Conduct deep-dive analyses, optimize reporting processes, and translate complex data into executive-ready insights and recommendations. Collaborate with global stakeholders across functions and organizational levels to measure program outcomes and identify improvement opportunities.

Analyzes operational performance and financial-impact data for Philadelphia’s Water Department. Responsibilities include acquiring and cleaning large datasets, building data models and views, applying statistical and machine learning methods, identifying patterns, automating predictive and prescriptive analytics, and communicating insights to stakeholders. The role supports resource allocation, asset management, leak detection, water-loss mitigation, and revenue integrity. It requires onsite work, Philadelphia residency, off-hours availability, and participation in an on-call rotation.

Plans and implements data management processes for defense programs. Reviews contracts to determine documentation requirements, schedules and tracks contractual data deliverables, coordinates customer requirements, performs quality reviews, reports data status, manages electronic and physical deliveries, archives work products, and flows requirements to subcontractors through SDRLs. The role requires active Secret clearance, SAP eligibility, U.S. citizenship, strong communication and leadership skills, and experience with CDRL processes.

Support data management and analytics for investment strategies by ensuring accuracy and integrity of portfolio data, performing reconciliations, automating end-to-end workflows, collaborating with technology and business stakeholders, and delivering recurring analytics and reports for sales, marketing, risk, and investment teams.

Analyze product and business data to guide product strategy, growth, customer experience, and experimentation. Responsibilities include funnel, cohort, retention, segmentation, monetization, dashboard, and reporting analysis; defining metrics; maintaining event tracking; troubleshooting data quality; integrating data from analytics, advertising, payment, and CRM systems; and documenting tracking plans and metric definitions.

Build AI-assisted analyses, clean and validate scholar data, create interactive dashboards, develop fair analytical methodologies, and translate findings into clear recommendations for executives. Partner with data and learning teams and present insights to senior leaders. The role emphasizes quantitative reasoning, clear communication, design judgment, high agency, and rapid learning rather than a specific background or number of years of experience.

Perform data analysis, develop KPIs and dashboards, build reports and visualizations, manage and integrate data sources, support client-facing marketing and communications projects, apply predictive and machine learning techniques, and present actionable insights to stakeholders to improve campaign and program performance.

Analyzes structured and unstructured data to support USSOCOM decision-making. Develops dashboards, visualizations, reports, data models, and workflows; writes queries and scripts; performs data quality checks; documents data processes; and collaborates with database administrators, engineers, and mission stakeholders. The role also supports operational planning, mission readiness assessments, cybersecurity and data governance compliance, stakeholder presentations, and mentoring junior analysts.

Lead paid media analytics for Life Company, using SQL/Python and advanced statistics to measure and optimize paid social/search and AI-powered search. Build audience segmentation, run incrementality/experimentation, create visualizations and recommendations, and partner with marketing to drive acquisition and engagement.