Top Remote Data & Analytics Jobs

Leads advanced GIS and location intelligence analyses, including site selection, workforce, demographic, market, drive-time, and suitability studies. Creates client-ready maps, dashboards, StoryMaps, reports, and presentations, translating spatial insights into business recommendations. Advises brokers and internal teams, establishes GIS standards, evaluates data quality, and automates workflows using Python and ModelBuilder. The role is remote and collaborates across national real estate markets.

Design and implement scalable BI data systems, models, and AI-powered tooling. Translate business questions into reliable datasets, optimize warehouses and queries, apply software engineering practices, partner with product and engineering teams, and mentor teammates. Process large-scale data using modern cloud platforms and technologies such as Spark, Databricks, and Kubernetes.

Serves as the technical and client-facing link between Inca Digital’s data engine and high-stakes financial and government clients. Conducts OSINT, web scraping, enhanced due diligence, blockchain and crypto investigations; analyzes large datasets; audits and synthesizes technical findings into intelligence reports; briefs executive stakeholders; and coordinates cross-functional teams to align products with client needs.

Leads technical Monitoring, Evaluation, Accountability and Learning for a complex, multi-country child protection and family care project. Oversees data collection, management, quality assurance, milestone verification, reporting, evaluations, learning, and knowledge management. Provides technical assistance to country teams, partners, and government institutions; strengthens national information systems; ensures donor compliance; analyzes evidence; and supports adaptive management and dissemination of results across countries.

Develops and maintains dashboards, reports, data tools, and data infrastructure for Consulting. Analyzes client, project, portfolio, capacity, compliance, and outcomes data to identify trends and support decisions. Maintains data integrity across Salesforce, Resource Hero, Power BI, and related systems; establishes governance standards; trains staff; and manages consulting projects, workflows, budgets, timelines, and deliverables.

Analyze sales, financial, customer, and commercial performance data to support forecasting, business planning, growth opportunity identification, and executive decision-making. Build dashboards, reporting solutions, forecasts, scenarios, and actionable recommendations. Partner with business and technology stakeholders to improve data quality, KPI governance, analytics adoption, and measurement of commercial initiatives. Apply statistical, predictive, machine learning, and experimentation techniques when they deliver measurable business value.

Leads AlphaSense’s Financial Services channel research coverage across banking, insurance, and fintech. Develops coverage roadmaps, channel-check frameworks, expert source strategies, and structured questionnaires. Guides analysts and operations teams on project execution, expert targeting, feasibility, and research quality. Acts as the primary financial services domain expert, identifying companies, subsectors, value chains, and research opportunities while improving workflows and ensuring insights are consistent, actionable, and aligned with investor demand.

Own marketing performance analytics across Coalition’s insurance and cybersecurity businesses. Analyze funnels, campaigns, attribution, pipeline, and revenue; synthesize data from CRM, marketing automation, advertising, web analytics, and sales systems; develop measurement frameworks and dashboards; identify actionable recommendations; and present analytical narratives to marketing and executive leadership while partnering with data, sales, and marketing operations teams.

Develops and maintains Salesforce and Tableau analytics dashboards, performs complex data analysis and forecasting, and delivers insights for sales, product, finance, and marketing decisions. Translates business needs into technical requirements, manages platform enhancements with developers, validates data quality, models sales goals, identifies optimization opportunities, and presents strategic recommendations. Provides user training and supports analytics across Treasury Solutions.

Analyze digital, email, direct mail, and lifecycle marketing performance; evaluate leads, conversions, customer segments, retention, and cross-sell opportunities; support A/B testing, attribution, forecasting, and budget allocation. Translate campaign data into actionable recommendations, improve reporting consistency, and partner cross-functionally to optimize acquisition and customer engagement using analytics and AI-enabled tools.