Top Data Analyst Jobs

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.

Provides operational support for fundraising and business systems through recurring data maintenance, duplicate remediation, bulk uploads, record merges, data quality initiatives, and user support. Responds to ServiceNow requests, creates documentation and training resources, tests system enhancements, and recommends process improvements. The role also supports data validation, reconciliation, reporting, and automation using programming and AI while escalating complex issues appropriately.

Analyzes and prepares customer data for successful migration to ServiceTitan. Works directly with customers to understand source databases, identify data issues, interpret database structures, and map data to ServiceTitan’s model. Writes queries to correct, reformat, and transfer data while coordinating with engineers, implementation teams, and onboarders. Manages shifting priorities, deadlines, project updates, and cross-functional communication to ensure accurate, timely data delivery.

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.

Manages CDC public health data assets across ingestion, quality assurance, transformation, versioning, publication, maintenance, and archival. Develops data extracts and scripts using Python, SQL, R, SAS, or similar tools; supports pipelines, lineage, metadata, governance, documentation, and production readiness. Collaborates with CDC staff, engineers, vendors, and analysts to resolve data issues, respond to inquiries, maintain data products, and improve data management processes.

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.

Supports finance analytics by extracting and preparing data with SQL, maintaining reporting and reconciliation scripts, checking data quality, and explaining findings. Builds dashboards and data marts, researches unit economics and plan-versus-actual performance, and collaborates with finance, commercial, marketing, and product stakeholders. The role requires BI tools, Excel, business metrics knowledge, and strong analytical communication.

Analyze and reverse-engineer legacy tax data for conversion into TaxSys. Create data mapping specifications for developers, QA conversion results, investigate data issues, prepare data for customer training and verification, and guide clients through conversion decisions and go-live. The role also involves customer communication, project documentation, planning, time management, and potential project leadership.

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.

Supports client projects by creating metadata, writing and testing R syntax, cleaning and recoding survey data, performing statistical operations, reviewing code and outputs, documenting data-management processes, and troubleshooting errors. The role requires independent task management, technical communication, quality control, and collaboration on federally contracted projects involving sensitive information.

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.

Analyzes complex marketing data to identify trends, evaluate campaign performance, and inform strategic decisions. Develops analytic frameworks, data models, audience segments, dashboards, and reporting tools. Builds SQL queries and code-based solutions using Python and APIs to enhance marketing systems, integrations, automation, data integrity, and process efficiency.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

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.

Manage and control program documentation and data for a defense engineering portfolio. Responsibilities include maintaining document repositories, templates, registers, metadata, version control, and baselines; coordinating peer reviews and customer submissions; tracking deliverables, risks, and actions; performing documentation quality checks; supporting audits and change processes; and collaborating with engineering teams to ensure accurate, compliant, and traceable data.

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.

Develops Power BI dashboards, ETL processes, data pipelines, analytical reports, and data-driven recommendations. The role collects, cleanses, validates, and analyzes complex datasets; supports data quality, governance, accessibility, and reporting automation; and translates findings into actionable insights for government leadership and stakeholders.

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.