Top Entry Level Data & Analytics Jobs

27 Days AgoSaved
In-Office
Palo Alto, CA, USA
132K-198K Annually
Entry level
132K-198K Annually
Entry level
Information Technology
Administer Tableau Server for 700 users across 12 department sites, managing upgrades, patches, licenses, SSO, data drivers, access, troubleshooting, and support requests. Build decision-ready dashboards and data products, maintain report inventories, guide migration or retirement decisions, and establish standards for data access, row-level security, and visualization quality. Partner with business stakeholders and developers while using AI tools to accelerate analysis, development, and migrations.
Top Skills: APIsBigQueryDatabricksJavaScriptJIRALookerPower BIPythonSAMLSlackSnowflakeSQLSsoSupersetTableauTableau Server
28 Days AgoSaved
In-Office
New York, NY, USA
100K-120K Annually
Entry level
100K-120K Annually
Entry level
Financial Services
Build and maintain scalable trading observability platforms, real-time data pipelines, and quantitative strategies for equities trading operations. Responsibilities include ingesting and processing market and alternative data, improving monitoring and analytical tools, and incorporating AI into workflow automation and content generation. The role partners with traders, strategists, and technology teams in a fast-paced trading environment.
Top Skills: AuthenticationBloombergC++EncryptionHashingLinuxMssqlNumpyOraclePandasPostgresPythonRefinitivTls/SslUnix
28 Days AgoSaved
In-Office
2 Locations
200K-220K Annually
Entry level
200K-220K Annually
Entry level
Machine Learning • Generative AI
Own Modal’s go-to-market data platform, including organization and people graphs, identity resolution, CRM schemas, Snowflake and dbt models, reverse ETL pipelines, revenue operations metrics, forecasting, attribution, and data quality systems. Partner with Data, RevOps, and Marketing to support customer context, routing, territory management, campaigns, reporting, and reliable GTM workflows.
Top Skills: Ai Coding Tools And AgentsCrm SystemsDbtHexModalPythonReverse EtlSnowflakeSQL
28 Days AgoSaved
In-Office
Chicago, IL, USA
Entry level
Entry level
Fintech • Software • Financial Services
Build a canonical entity and knowledge graph for identity resolution, permissions, compliance, and agent authorization. Develop production data pipelines across internal systems, graph-based correlation, ML matching, schemas, APIs, provenance, bitemporal models, drift detection, and delegation credentials. Partner with Finance and Compliance on classification pilots while enforcing privacy, regulatory compliance, jurisdictional partitioning, and auditability.
Top Skills: APIsEmbeddingsGraph DatabasesIroncladJIRAKnowledge GraphsLarge Language ModelsMachine LearningPythonRelational DatabasesSlack
28 Days AgoSaved
In-Office
Baxter, MN, USA
27-29
Entry level
27-29
Entry level
Energy
Supports renewable energy projects through spatial analysis, cartography, GIS data management, mapping, field data collection, PDF reporting, quality control, and technical troubleshooting. Creates ArcGIS Online Field Maps, maintains geospatial data integrity, develops mapping products, performs complex analyses, and builds scripts or tools to streamline recurring tasks. Collaborates with project teams and end users while improving GIS workflows and supporting energy-sector projects.
Top Skills: ArcadeArcgisArcgis Online Field MapsAutocadDwgEsriGoogle EarthGpsKmzLidarModelbuilderPythonRemote SensingWeb Mapping
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Reposted 28 Days AgoSaved
In-Office
San Jose, CA, USA
30-30 Hourly
Entry level
30-30 Hourly
Entry level
Artificial Intelligence • Robotics • Automation • Manufacturing
Annotate and label images and video from humanoid robots using proprietary tools, collaborate with ML engineers on guidelines, flag edge cases, maintain quality and throughput, and provide feedback to improve workflows.
28 Days AgoSaved
In-Office
New York, NY, USA
60K-140K Annually
Entry level
60K-140K Annually
Entry level
AdTech • Marketing Tech
Manage data domains and governance materials, including data dictionaries, metadata, taxonomies, schemas, and lineage. Apply standards that improve data quality and consistency across global markets. Partner with data, analytics, reporting, technology, stewardship, and investment teams to support reliable data deployment and usage. Explain data relationships and governance standards to stakeholders, support quality reviews, resolve inconsistencies, and improve documentation and workflows across media and marketing data systems.
Top Skills: ClaravineDatoramaDomoGoogle Cloud PlatformExcelPower BISalesforceSalesforce Data CloudSalesforce Marketing CloudSnowflake
28 Days AgoSaved
In-Office
Austin, TX, USA
Entry level
Entry level
Consumer Web • Fashion • Retail
Build and improve analytical tools and AI-enabled automations for Strategic Finance and cross-functional teams. Analyze data using SQL, BigQuery, Hex, spreadsheets, and AI tools; prototype, test, validate, document, and iterate solutions. Translate business problems into analytical requirements, collaborate with Data & Tech, evaluate AI-generated outputs, and help transition successful prototypes into tools used across Planning, Merchandising, E-commerce, Operations, and Growth.
Top Skills: Ai ToolsBigQueryExcelGoogle SheetsHexPythonSQL
Entry level
Fintech • Financial Services
Summer Analyst internship for students pursuing a bachelor’s or graduate degree. Quantitative strategists apply mathematics, programming, logical reasoning, research, and analytical methods to construct quantitative models supporting risk, financial controls, compliance, treasury, and other core financial-market processes. Interns receive training, work on real responsibilities, and collaborate with experts in quantitative finance and engineering.
Top Skills: Artificial IntelligenceCloud ComputingMachine LearningQuantitative Modeling
28 Days AgoSaved
In-Office
Indianapolis, IN, USA
Entry level
Entry level
Food • Healthtech
Supports R&D, packaging, processing, commercialization, and design reporting. Gathers and analyzes data to identify trends, develops dashboards and reporting solutions, trains end users, and provides business insights and process recommendations. Serves as a liaison between IT and the R&D team while improving reporting and decision-making effectiveness.
Top Skills: Data WarehousingMS Office
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