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Top Remote Data & Analytics Jobs in Providence, RI
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing
Own and maintain Center of Excellence network reporting and health metrics. Build recurring and ad hoc dashboards using Databricks, Python, and SQL. Conduct network adequacy and coverage analysis, validate and distribute reports, surface risks and trends, support client meetings, and produce executive-ready summaries while documenting processes and standards.
Top Skills:
DatabricksDatabricks BiGoogle SheetsPower BIPowerPointPythonSQLTableau
Artificial Intelligence • Healthtech • Insurance • Software
Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.
Top Skills:
Ai ToolsData ModelingDbtLookerModePower BIPythonSQLTableau
Information Technology • Analytics • Cybersecurity
Design, develop, maintain, and optimize ADABAS database structures and data solutions. Support mainframe data processing (Natural, COBOL, JCL), perform migrations to modern platforms, tune performance, ensure data integrity/security, troubleshoot issues, and collaborate with developers, architects, and analysts on modernization, API/cloud integration, and data warehousing initiatives.
Top Skills:
AdabasCobolJclSoftware Ag NaturalSQLTso/IspfZ/Os
Social Impact
Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.
Top Skills:
DaxPower BIPower Bi DataflowsPower QueryQualtricsRSQL
Artificial Intelligence • Fintech • Software • Financial Services
Investigate financial transactions to identify potential money laundering activities, utilize AI for analysis, document findings, and collaborate with product teams on improvements.
Top Skills:
SQL
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Gaming
As a Senior Data Analyst, you will analyze game telemetry data, translate business needs into insights, and guide technical teams. You will also lead exploratory data analysis and maintain data quality practices.
Top Skills:
SparkDbtGCPGitLookerNoSQLPythonSQLTableau
Healthtech
Design, build, and maintain scalable, secure data architectures, models, and ETL pipelines. Integrate diverse data sources, optimize performance and data quality, implement governance, monitor production SLAs, and collaborate with data scientists, analysts, and product teams. Provide technical leadership, documentation, and training to improve engineering practices across the organization.
Top Skills:
Amazon AthenaAmazon RedshiftAmazon S3Apache AirflowAws AppflowAws LambdaAws SnsAws SqsBigQueryBugsnagCursorDatabricksDatadogDelta LakeDockerEr/StudioErwinGitlab CiIcebergJavaKafkaKubernetesMySQLOpenmetadataPostgresPythonRuby On RailsScalaServerlessSnowflakeSparkSQLTableau
Information Technology
Lead development of cloud data platforms and end-to-end data pipelines using AWS/Snowflake and big-data technologies (Spark, Hive, Iceberg). Automate builds and deployments with Bash/Python shell scripting, apply CI/CD and Medallion Architecture, perform data modeling and warehousing, and collaborate across teams. Pharma/AbbVie experience preferred.
Top Skills:
AWSBashBigQueryCi/CdHiveHivesqlIcebergLinuxMedallion ArchitecturePrestoPysparkPythonShellSnowflakeSparkUnix
Consumer Web • Marketing Tech • Design
Support data collection, cleaning, and preliminary analysis. Write and run SQL queries, use statistical tools and Python, produce visualizations, document methods, troubleshoot analytics tools, and collaborate with cross-functional teams to deliver actionable insights.
Top Skills:
Data VisualizationETLPythonSQLStatistical Analysis
Fintech
Lead credit underwriting, pricing, verification, and portfolio performance for personal loans. Use data and ML/AI to design automated decisioning, manage credit/fraud risk, forecast losses, and present strategies to leadership and investors. Collaborate cross-functionally and build vendor/alternative-data strategies to drive profitable growth while keeping losses within risk appetite.
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