Top Entry Level Data & Analytics Jobs

2 Months AgoSaved
In-Office
Schaumburg, IL, USA
51K-62K Annually
Entry level
51K-62K Annually
Entry level
3D Printing • Artificial Intelligence • Machine Learning • Other
Owns the Voice of the Customer program by managing Qualtrics survey tickets, categorizing feedback, investigating root causes, and coordinating corrective actions across departments. Analyzes NPS, CSAT, and open-text data to identify trends and prepares reports and dashboards for stakeholders. The role also follows up with customers, improves VOC workflows, and communicates insights that drive customer experience and operational improvements.
Top Skills: JIRAExcelQualtricsSalesforce Service CloudSigmaZendesk
2 Months AgoSaved
In-Office or Remote
San Antonio, TX, USA
Entry level
Entry level
Agency • Healthtech • Professional Services • Pharmaceutical
Designs, develops, tests, and maintains BI reports, dashboards, data models, data warehouses, and ETL processes using Microsoft BI tools. The role analyzes source data, resolves data integrity issues, supports stakeholders and end users, implements data protection solutions, and maintains documentation. This is a fully remote position with approved-location restrictions.
Top Skills: .NetAzure Data FactoryAzure DevopsCsvInformaticaLogic AppsAzurePower BISQLSQL ServerSsisSsrsT-SqlXML
2 Months AgoSaved
In-Office
Marietta, GA, USA
Entry level
Entry level
Logistics • Transportation
Analyzes customer account data, SLA performance, service metrics, and escalations across delivery hubs. Builds Excel dashboards, pivot tables, scorecards, trackers, and leadership reporting materials. Partners with Operations to validate data, identify root causes, detect risk patterns, and support issue resolution. Maintains data integrity and governance while contributing to reporting standardization and process improvements.
Top Skills: Excel
2 Months AgoSaved
In-Office or Remote
3 Locations
Entry level
Entry level
Big Data • Other • Analytics
Build and scale production Python pipelines for economic and financial climate-risk models. Responsibilities include transforming research prototypes into tested infrastructure, supporting statistical, econometric, and machine-learning modeling, cleaning large financial and hazard datasets, resolving data anomalies, and collaborating with engineering, product, and client teams to document outputs and communicate findings.
Top Skills: AWSAzureDockerGCPGitPandasPolarsPython
Reposted 2 Months AgoSaved
In-Office
New York, NY, USA
75K-80K Annually
Entry level
75K-80K Annually
Entry level
News + Entertainment
Produce original data-driven journalism for Ignites and BoardIQ by sourcing, cleaning, analyzing, and interpreting complex datasets. Develop investigative and rapid-turnaround stories, identify trends and anomalies, and create charts, graphics, and interactive visualizations. Collaborate with reporters, editors, and visual journalists while supporting data journalism practices across the organization. Use public records, APIs, web scraping, databases, and proprietary datasets while maintaining accuracy, transparency, and journalistic integrity.
Top Skills: APIsData VisualizationDatabasesPythonRWeb Scraping
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2 Months AgoSaved
In-Office
Phoenix, AZ, USA
Entry level
Entry level
Aerospace
Collects, analyzes, and validates aircraft system data; prepares and publishes monthly CASS reports; monitors mechanical interruptions, service difficulties, and adverse trends; reports qualifying events to the FAA; compiles fleet-level statistics; identifies irregularities; and submits data reports to manufacturers, regulatory agencies, and other entities.
Top Skills: Microsoft AccessExcelMS OfficeMicrosoft OutlookMicrosoft PowerpointMicrosoft Word
2 Months AgoSaved
Hybrid
New York, NY, USA
Entry level
Entry level
Artificial Intelligence • Legal Tech • Productivity • Software • Generative AI
Own Patlytics’ data warehouse, transformation layer, ingestion pipelines, usage metering, billing data models, BI, and reporting infrastructure. Build production systems in Python and SQL, establish data quality and monitoring standards, and translate ambiguous business questions into reliable analytical models. The role partners closely with the CTO and stakeholders, provides technical direction, and may grow into team leadership. Front-end experience for internal tools and reporting interfaces is a bonus.
Top Skills: Amazon RedshiftBusiness Intelligence ToolsData Visualization ToolsDbtPythonSnowflakeSQL
2 Months AgoSaved
In-Office
Maplewood, MN, USA
Entry level
Entry level
Cloud • Information Technology • Consulting • Cybersecurity
Design and develop Business Objects Web Intelligence reports and UNV/UNX universes. Analyze and query data using SQL across Teradata and Microsoft SQL Server, while leveraging Excel and Access. Preferred experience includes SAP Lumira, SAP Explorer, QlikView, SAP or ERP systems, complex data structures, data mining, and 3M data systems and sources such as HANA, BW, GEDW, and SQL Server.
Top Skills: Business Objects Universe Design UnvBusiness Objects Universe Design UnxBusiness Objects Web Intelligence R4BwErp SystemsGedwHanaMicrosoft AccessExcelMicrosoft Office 365Microsoft Sql ServerQlikviewSAPSap ExplorerSap LumiraSQLTeradata
Reposted 2 Months AgoSaved
In-Office
Charlotte, NC, USA
Entry level
Entry level
Fintech
Two-year rotational program for graduating students to analyze structured and unstructured data, develop dashboards and visualizations, apply SQL/Python/Tableau/Power BI, partner with business teams, and deliver insights that influence strategy and improve client and operational outcomes.
Top Skills: Cloud-Based PlatformsPower BIPythonSQLTableau
2 Months AgoSaved
Hybrid
Greenville, SC, USA
Entry level
Entry level
Fintech
Entry-level Business Analysts analyze credit risk, pricing, underwriting, partnerships, and business operations. Responsibilities include using quantitative and qualitative data, SQL or Python, visual analytics, estimation, simulation, competitive analysis, and KPI development to support data-driven decisions. Analysts identify improvement opportunities, evaluate business changes, communicate findings, collaborate cross-functionally, and present recommendations to stakeholders and senior management.
Top Skills: PythonSQL
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