Data Analyst Job at Lightcast

Data Analyst

We are looking for a Data Analyst to join a printing and publishing organization...

Location

United States , Shakopee

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in data analysis within IT, enterprise systems, or application-focused environments
Strong hands-on expertise with SQL, Python, and advanced Excel for complex analysis and data preparation
Experience working with Oracle and other integrated business systems in a cross-functional enterprise setting
Solid understanding of data movement, system interfaces, and core data architecture principles
Proficiency with reporting and visualization platforms such as Power BI or Tableau
Demonstrated ability to analyze incomplete, inconsistent, or unstructured data and produce accurate, actionable insights
Strong communication skills with the ability to explain technical findings clearly to both technical and non-technical audiences

Job Responsibility

Examine data from enterprise, order management, and operational platforms to support reporting and analysis across quote-to-cash activities such as quoting, invoicing, shipping, and billing
Gather, transform, and reconcile information from multiple sources, including Oracle-based environments, internal business applications, and external logistics or shipping systems
Investigate reporting discrepancies by identifying broken data relationships, integration weaknesses, and process issues that affect downstream accuracy
Perform advanced analysis using SQL, Python, and Excel to uncover trends, exceptions, and root causes within high-volume datasets
Cleanse, standardize, and match structured and unstructured records across systems to improve consistency and usability of business data
Apply validation methods, reconciliation logic, and fuzzy matching techniques to strengthen data quality and improve alignment between connected platforms
Build, update, and maintain dashboards and visual reports using tools such as Power BI, Tableau, or similar business intelligence solutions
Collaborate with IT teams, data engineers, and business partners to translate analytical findings into practical system and process enhancements
Contribute to ongoing data governance efforts and support broader initiatives focused on improving data quality, reporting reliability, and enterprise data management

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Data Analyst

We are looking for a Data Analyst to support reporting, data interpretation, and...

Location

United States , Lewisville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Business, Computer Science, Healthcare Management, or a related discipline from an accredited institution
2 to 4 years of experience in a business intelligence, reporting, or data analysis role
Demonstrated ability to create decision-support models using multiple data sources, calculated metrics, and drill-down reporting logic
1 to 2 years of experience writing SQL queries and working within SQL Server Management Studio or a similar environment
Strong Microsoft Excel skills, including pivot tables, formulas, and report development for data analysis
Working knowledge of Power BI and its core features for report creation and data visualization
Familiarity with relational database concepts, data schemas, and sourcing datasets from enterprise systems
Basic understanding of star schema design and how warehouse structures interact with relational databases

Job Responsibility

Translate stakeholder needs into organized data extraction and reporting approaches that support business decisions
Develop clear reports, analytical summaries, and impact models that make complex information accessible to operational teams
Query source systems and work with database structures, tables, and stored procedures across multiple platforms to gather accurate data
Combine information from different datasets to create reliable measures, validate results, and connect summary trends to detailed records
Build and maintain Excel-based dashboards, pivot-driven analyses, and presentation materials for business review discussions
Use SQL, Excel, Power BI, and presentation tools to deliver recurring and ad hoc analysis for business partners
Interpret relational data structures and support reporting solutions that align with data warehouse and schema design principles
Ensure all analytical work is completed with accuracy, professionalism, and consistency with organizational standards

What we offer

Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Data Analyst

We are looking for a Data Analyst to support fraud detection and investigative r...

Location

United States , Irvine

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience in data analysis within fraud, risk, compliance, or investigative environments
Working knowledge of suspected fraud indicators, fraud analytics techniques, and anti-fraud practices
Ability to interpret large datasets and identify meaningful trends, anomalies, and risk signals
Strong analytical and problem-solving skills with attention to detail and accuracy
Experience supporting fraud investigation efforts through reporting, data review, or case analysis
Proficiency in organizing findings and presenting insights in a clear, business-friendly format
Ability to work effectively in a collaborative environment while managing priorities independently

Job Responsibility

Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud
Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up
Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies
Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses
Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response
Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review
Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Data Analyst

We are looking for a detail-oriented QA Analyst to join our team Massachusetts i...

Location

United States , Lakeville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in data analysis, quality analysis, systems testing, or a closely related role
Demonstrated ability to investigate issues, interpret business processes, and identify gaps that may affect system quality or user outcomes
Experience working with cross-functional teams that include product, engineering, design, and business stakeholders
Strong analytical skills with the ability to document findings clearly and translate observations into actionable recommendations
Familiarity with fraud analytics, fraud investigation, anti-fraud practices, or suspected fraud review is preferred
Comfortable operating in evolving environments where tools, documentation, and processes are still being established
Ability to manage multiple priorities while maintaining accuracy, organization, and attention to detail

Job Responsibility

Assess new and existing application features to confirm they operate correctly and meet defined business needs
Work closely with cross-functional partners to clarify expected outcomes, review workflows, and verify that delivered solutions align with user requirements
Execute hands-on testing across employee-facing and customer-facing systems, documenting defects, inconsistencies, and usability concerns
Support release preparation by validating readiness, confirming issue resolution, and helping reduce production risk before deployment
Develop and maintain repeatable testing approaches, including regression coverage and end-to-end workflow checks, as the systems environment expands
Contribute to performance and reliability evaluations to help ensure applications function effectively under expected usage conditions
Help establish practical quality standards, documentation practices, and testing processes for a growing technology organization
Assist with manual validation activities in areas where automation, tools, or formal procedures are still being developed

What we offer

Medical, vision, dental, and life and disability insurance
Enrollment in company 401(k) plan
Free online training

Fulltime

Data Analyst

We are seeking a Data Analyst to join our Media division and play a key role in ...

Location

United Kingdom , Hull

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience in a Data Analyst, Business Intelligence Analyst, Analytics Engineer, or similar role
Advanced SQL skills and experience working with large, complex datasets
Strong Python skills for data analysis, automation, modelling, and data processing
Experience working with cloud-based data platforms such as Snowflake and Google BigQuery
Experience using business intelligence and data visualisation tools such as Power BI, Tableau, Looker, or equivalent platforms
Strong understanding of data modelling, data preparation, and analytics best practices

Job Responsibility

Analyse reader, subscriber, and member behaviour to identify trends, opportunities, and areas for growth
Develop insights that support audience acquisition, engagement, retention, and content performance
Provide data-driven recommendations based on behavioural, transactional, and engagement data
Build, maintain, and improve dashboards, reports, and self-service analytics solutions
Translate business requirements into meaningful metrics, KPIs, and reporting frameworks
Work with large-scale datasets from a wide range of internal and external sources
Support the integration, cleansing, validation, and standardisation of data across a diverse data ecosystem
Help unify data from multiple platforms and systems into consistent analytical models
Contribute to the optimisation and ongoing management of data pipelines and analytical workflows
Apply statistical and analytical techniques to identify patterns, trends, and opportunities within audience and membership data

Fulltime

Data Analyst

Hybrid Global Automotive Tech International Environment

Location

Japan , 東京23区

Salary:

6000000.00 - 10000000.00 JPY / Year

Randstad

Expiration Date

September 13, 2026

Requirements

6+ years’ experience in Information Security
Experience in technical security, securing products incorporating emerging technologies like IoT, AI, Automotive operating systems
Experience with risk management, risk assessments and risk assessment methodologies/standards (NIST SP800-30, CIS RAM, etc)
Experience with regulatory compliance and information security management frameworks (e.g., ISO27001/ISO27002, NIST CSF, CMMC)
Technical expertise in the security field and experience with security architecture and ability to challenge risk assessments on the technical side
Experience with multiple risk assessment methods including threat modeling (STRIDE, etc)
High level of independence and autonomy in leading and performing engagements, including conducting interviews, with a complex set of corporate stakeholders
Experience in technical assessments of networks, operating systems, cloud environments, etc
Excellent written and verbal communication skill

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

Fulltime

New

Data Analyst

The Data Analyst supports the planning and execution of data migration and data ...

Location

United States , Washington, DC

Salary:

110000.00 - 130000.00 USD / Year

Procentrix

Expiration Date

Until further notice

Requirements

4+ years of experience in data analysis, data migration, or data management
Experience working with Microsoft technologies, including SQL Server, Azure SQL, Dataverse, Azure Data Services, etc.
Experience analyzing complex data structures and relationships
Experience with data profiling, cleansing, and validation activities
Experience documenting business rules and data requirements
Experience creating source-to-target mapping documentation
Knowledge of relational databases and SQL
Experience supporting testing and reconciliation activities
Experience working in Agile environments
Strong analytical and communication skills

Job Responsibility

Support planning and execution of data migration and data quality activities for a large-scale Microsoft-based modernization initiative
Analyze source systems, profile data, document business rules, and support migration planning and execution activities
Work with business stakeholders and technical teams to understand data structures, relationships, and usage patterns across legacy and modern platforms
Perform data profiling, source-to-target mapping, data quality assessment, validation planning, reconciliation support, and documentation of migration requirements
Assist with data cleansing, validation, testing, and issue resolution activities during migration execution
Collaborate closely with application, integration, testing, and reporting teams to support Agile delivery schedules and evolving business priorities

Fulltime

New

Data Analyst

This Healthcare company in Mississauga is looking for a Data Analyst. Additional...

Location

Canada , Saint-Laurent

Salary:

Not provided

Randstad

Expiration Date

August 14, 2026

Requirements

Bachelor’s degree or equivalent combination of education and experience
Typically requires 3–5+ years of experience in analytics, business intelligence, or data-related roles
Strong proficiency in SQL for data transformation, aggregation, and analysis
Experience with business intelligence tools (e.g., Power BI) and semantic modeling (e.g., star schema, dimensional modeling)
Experience working with curated datasets (Gold / Presentation layer) and analytics-ready data
Experience working with modern cloud data platforms (e.g., Snowflake, Azure, Databricks or similar)
Familiarity with version control, CI/CD workflows, and collaborative development practices (e.g., Git, GitHub, pull/merge request workflows)
Familiarity with data governance, data quality, and metadata management concepts
Strong analytical thinking, problem-solving, and stakeholder engagement skills with effective communication skills for both technical and business audiences
Experience in healthcare or other regulated industries is preferred

Job Responsibility

Build and maintain business-ready data products and semantic models that translate curated enterprise data into accessible structures for analytics and reporting
Design, develop, and maintain semantic layer datasets aligned with business logic, KPIs, and reporting standards
Perform data transformations, aggregations, and modelling within the Gold / Presentation layer, applying business rules while maintaining data integrity and compliance
Write and optimize complex queries using SQL to support analytics, reporting performance, and data model efficiency
Collaborate with enterprise data and governance teams to refine layer datasets, ensuring alignment between technical data structures and business requirements
Identify and resolve data quality, performance, and model alignment issues
Resolve complex conflicts between business definitions, KPIs, and data models, ensuring consistency with enterprise standards
Document data models, semantic layers, and analytics solutions, including business definitions, mappings, and technical specifications
Contribute to the creation, maintenance, and evolution of Data Contracts, contextual data layers, and business ontologies

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