Top Remote Data & Analytics Jobs

Owns enterprise data architecture across warehouses, lakes, lakehouses, streaming systems, governance, modeling, and AI/ML data foundations. Sets platform strategy, architects semantic and unstructured data pipelines, establishes security and observability standards, and drives performance and reliability. Partners with clients and leadership, supports pre-sales, mentors engineers, develops reusable architecture patterns, and remains hands-on with prototypes, production code, and design reviews.

Build and maintain product data models, ELT pipelines, semantic layers, and self-service analytics assets. Partner with Product Engineering and Data Governance to define canonical data, certify metrics, document taxonomies, monitor data quality, and support expansion and upsell analytics. Translate business requirements into governed data products, communicate insights to technical and non-technical stakeholders, and ensure data tooling complies with federal frameworks including FedRAMP and DoD IL4/5.

Lead and grow a data engineering team to build a trusted, fast, composable, and self-serve data platform. Define architecture and roadmap for ingestion, transformation, governance, and analytics; ensure reliability, observability, and security; partner cross-functionally with Product, Analytics, Security, and Engineering; be a hands-on player-coach delivering scalable data systems using Snowflake, dbt, and self-serve analytics.

Own data quality, governance, KPI definitions, and reporting integrity for Verizon Value. Build and maintain Power BI dashboards, datasets, semantic models, scorecards, and automated reporting solutions. Investigate discrepancies, establish validation processes, standardize reporting, and collaborate with analytics, engineering, operations, client services, and Verizon stakeholders to improve data trust, reporting efficiency, and client outcomes.

Owns data quality, KPI governance, reporting accuracy, and business intelligence solutions for Verizon Value. Responsibilities include developing Power BI dashboards and semantic models, validating and reconciling data, investigating discrepancies, documenting reporting standards, automating reporting processes, and partnering with analytics, engineering, operations, client services, and Verizon stakeholders to improve data trust and reporting efficiency.

The job description provides limited role-specific information. This senior director position focuses broadly on data and identity solutions within Merkle, a Dentsu brand. The role is remote in Maryland, with hybrid office expectations for employees near designated hubs. Responsibilities, required qualifications, technologies, travel expectations, and clearance requirements are not specified.

Build and maintain data pipelines, transformations, curated datasets, dashboards, and analytical tools supporting pharmaceutical manufacturing and process operations. Investigate data-quality issues, translate business needs into reliable outputs, collaborate across scientific, engineering, manufacturing, and digital teams, and support testing, deployment, documentation, user adoption, and continuous improvement in a regulated environment.

Analyzes, validates, reconciles, and extracts healthcare data from disparate systems using Excel and SQL. Supports SaaS implementation projects, customer troubleshooting, reporting automation through SFTP, and communication of findings to technical and nontechnical stakeholders. The role also assists with data integrity, issue resolution, customer updates, and implementation progress tracking.

Performs business analysis for technology and business improvement projects, including stakeholder analysis, requirements development, acceptance testing, process documentation, business cases, and value assessment. Supports enterprise initiatives, project structures, budgets, and expenditures while collaborating with business partners. Mentors analysts and helps develop business analysis practices and frameworks.

Analyzes servicing, collections, application funnel, and contact-center data to identify performance gaps and inform business decisions. Builds automated reports, partner data files, Snowflake and dbt models, and operations dashboards. Maintains metric definitions, audits models, reconciles partner data, and develops business-case analyses. Uses AI tools to improve analytics workflows and collaborates with data engineering, product, and business teams.