Data Analyst Job at Robert Half (South Portland)

Data Analyst

We are looking for a Data Analyst to join a long-term contract opportunity in Ok...

Location

United States , Oklahoma City

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

At least 3 years of experience in a data analyst, business analyst, or similar analytical role
Minimum 2 years of hands-on experience developing SQL queries, functions, and stored procedures
Strong knowledge of data modeling, database design, data mining methods, and reporting best practices
Experience documenting business processes and translating technical findings into clear business recommendations
Proficiency with tools such as Microsoft SQL Server, SQL Server Management Studio, Power BI, and cloud-based or enterprise reporting environments
Demonstrated ability to gather, organize, analyze, and communicate large volumes of information with a high level of accuracy and attention to detail
Effective verbal and written communication skills, with the ability to work independently and build productive relationships across teams

Job Responsibility

Analyze large and complex datasets to identify inconsistencies, root causes, and opportunities to strengthen data reliability and business performance
Create, test, and refine SQL queries, functions, and stored procedures to support scheduled reporting as well as one-time business requests
Develop reporting and data collection solutions that improve efficiency, enhance visibility into operations, and support informed decision-making
Examine trends, anomalies, and performance patterns in data and present meaningful insights to business leaders and project stakeholders
Review reports, source data, and existing logic to detect defects, resolve data quality concerns, and improve overall output accuracy
Document current business processes, workflows, and analytical findings while recommending practical improvements based on observed issues
Perform data quality reviews and validation activities to ensure information is complete, accurate, and fit for reporting purposes
Build a strong understanding of organizational procedures and operational workflows in order to align analysis with business needs
Apply critical thinking and structured problem-solving to support fraud-related analysis, process improvement efforts, and cross-functional initiatives

What we offer

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

Fulltime

Data Analyst

You'll own Puffy's experimentation program across a $1B+ e-commerce platform — f...

Location

United Arab Emirates , Dubai

Salary:

25000.00 AED / Month

Puffy

Expiration Date

Until further notice

Requirements

3+ years in data analysis, experimentation, or CRO within e-commerce, D2C, or any high-traffic transactional website (fintech, marketplaces, SaaS, banking).
Strong SQL - complex joins, window functions, CTEs across large datasets without relying on pre-built dashboards.
Working Python (or R) for data manipulation, statistical analysis, and automation.
Proven A/B testing experience - hypothesis design through statistical analysis to business recommendation
solid grasp of sample sizing, significance thresholds, and common pitfalls.
Hands-on GA4 experience - event-based tracking, custom explorations, and the ability to tie GA4 data to other sources.
Experience integrating ad platform data (Google Ads, Meta) with site analytics to see the full acquisition-to-conversion funnel.
Ability to independently connect to and pull from multiple data sources (APIs, warehouses, flat files) without engineering support.
Sharp analytical communication - complex findings distilled into concise recommendations for non-technical stakeholders.
Proactive and curious - you spot testing opportunities and chase root causes before anyone asks.

Job Responsibility

Analyze A/B tests end-to-end - what worked, what didn't, why? and deliver decision-ready recommendations, not metrics readouts.
Map user journeys across devices and traffic sources
pinpoint friction, drop-offs, and conversion leaks
convert them into prioritized, testable hypotheses.
Dig into data at segment, device, source, and journey-step level to find the non-obvious drivers that top-line reporting misses.
Build and maintain your own data pipelines across Shopify, GA4, Google Ads, and BigQuery - you don't wait in a queue to get the data you need.
Contribute to a structured hypothesis pipeline: prioritize by impact, write clear test briefs, define success criteria upfront, and push proposals to execution.
Orchestrate agentic AI workflows to accelerate analysis using SQL and Python as the foundation to direct, validate, and scale your analytical output.
Collaborate with marketing, UX, and development to translate findings into site changes, campaign adjustments, and creative decisions.

What we offer

up to 10% monthly performance bonus
Learning Budget up to $5000 annual budget for courses and certifications
Ahead with AI
10% Bonus
Rare Perspectives
Health First top-tier medical insurance
Premium Hotel Access
Wellness Club Memberships
Gym Facilities
Beach Club Access

Fulltime

Data Analyst

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum Master's Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
3+ years of prior work experience as a data scientist
Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs
Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures will be an added advantage
Familiarity with agentic AI concepts (autonomous planning, reasoning, and multi-step actions) and tools like LangChain, AutoGen, or similar orchestration frameworks. Ability to test and deploy AI agents to automate routine tasks
Programming skills in Python, SQL, and hands on experience on using cloud technology platforms like AWS or Azure
Exposure to AI-centric tools like PyTorch, Langchain, Langgraph is desirable
Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions
Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences, with a strong ability to quickly acquire new knowledge and a passion for continuous learning
Minimum Experience on Key Skills 5+ years

Fulltime

New

Data Analyst

We are looking for a Data Analyst to join a non-profit organization in a contrac...

Location

United States , Centreville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience in data analysis with a strong background in building and maintaining data pipelines or integration workflows
Working knowledge of ETL or ELT development, SQL, stored procedures, and data transformation techniques
Ability to identify data issues, perform root-cause analysis, and implement controls that improve data accuracy
Familiarity with data warehousing, data lakes, and performance tuning for databases or reporting environments
Experience supporting business intelligence reporting with reliable datasets for tools such as Power BI or Tableau
Understanding of data governance, security practices, and retention requirements in a structured environment
Exposure to modern cloud data platforms such as Azure Data Factory, Synapse, Snowflake, Databricks, or related technologies
Knowledge of fraud analytics, fraud investigation, anti-fraud practices, or suspected fraud analysis is valued

Job Responsibility

Develop and support data integration workflows that move information from internal systems, cloud environments, and external applications into centralized reporting platforms
Create, refine, and maintain scalable data pipelines that deliver accurate and timely datasets for analytics, operational reporting, and business intelligence tools
Investigate data inconsistencies, resolve processing issues, and establish validation checks to improve reliability and integrity across data assets
Contribute to data warehouse and data lake efforts by shaping transformation rules, supporting data models, and improving overall processing performance
Partner with stakeholders to understand reporting and analytical needs, then translate those needs into efficient and sustainable data solutions
Prepare and maintain clear technical documentation covering data mappings, process logic, workflow design, and integration steps
Enhance database and query performance while supporting scheduling, automation, and operational stability for recurring data jobs
Provide dependable data support for visualization and reporting platforms such as Power BI, Tableau, and similar business intelligence tools
Participate in data migration, application integration, and master data management initiatives as part of broader enterprise data projects
Help uphold data governance, security, and retention standards across integration and reporting processes

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Data Analyst

We are looking for a Data Analyst to join a Long-term Contract opportunity based...

Location

United States , Memphis

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience supporting data entry, record maintenance, reporting, or data quality activities in a structured business environment
Strong attention to detail and a consistent approach to maintaining accurate records and documentation
Ability to work effectively within a ticket-based or request-driven workflow
Intermediate Excel knowledge, including filtering, lookups, and basic data analysis techniques
Clear communication skills with the ability to work across technical and non-technical teams
Background in data analysis, fraud analytics, fraud investigation, anti-fraud processes, or suspected fraud review is highly valued
Familiarity with audit support, compliance practices, process documentation, or standard operating procedures is preferred

Job Responsibility

Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution
Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability
Examine source details before making changes and record updates clearly to support auditability and governance standards
Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution
Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency
Help create and refine process documentation and standard operating guidelines that promote consistent data management practices
Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders
Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly
Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems

What we offer

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

Fulltime

Data Analyst

We are looking for a detail-oriented Data Analyst to support data-driven decisio...

Location

United States , New Orleans

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience performing data analysis in a business or technical environment
Proficiency with Power BI for dashboard creation, reporting, and data visualization
Working knowledge of Tableau to build and maintain interactive reports
Hands-on experience with SSIS for data extraction, transformation, and loading activities
Strong Microsoft Excel skills, including the ability to analyze and manipulate large datasets
Ability to communicate analytical findings clearly to both technical and non-technical audiences
Familiarity with database concepts and structured data management practices

Job Responsibility

Gather, organize, and interpret data from a variety of sources to identify patterns, exceptions, and business opportunities
Create interactive dashboards and visual reports using Power BI and Tableau to present findings in a clear and meaningful way
Develop and maintain data integration workflows with SSIS to ensure timely and accurate movement of information between systems
Analyze operational and business metrics, then translate results into practical recommendations for stakeholders
Validate data quality by reviewing datasets for completeness, consistency, and accuracy before reporting is delivered
Partner with technical and business teams to define reporting needs and produce solutions aligned with organizational goals
Use Microsoft Excel to perform ad hoc analysis, reconciliations, and detailed data reviews when needed
Document reporting logic, data definitions, and analytical processes to support consistency and ongoing improvements

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Data Analyst

We are looking for a Data Analyst to join a Long-term Contract opportunity based...

Location

United States , Memphis

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience supporting data entry, record maintenance, reporting, or data quality activities in a structured business environment
Strong attention to detail and a consistent approach to maintaining accurate records and documentation
Ability to work effectively within a ticket-based or request-driven workflow
Intermediate Excel knowledge, including filtering, lookups, and basic data analysis techniques
Clear communication skills with the ability to work across technical and non-technical teams
Background in data analysis, fraud analytics, fraud investigation, anti-fraud processes, or suspected fraud review is highly valued
Familiarity with audit support, compliance practices, process documentation, or standard operating procedures is preferred

Job Responsibility

Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution
Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability
Examine source details before making changes and record updates clearly to support auditability and governance standards
Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution
Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency
Help create and refine process documentation and standard operating guidelines that promote consistent data management practices
Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders
Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly
Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems

What we offer

Medical
Vision
Dental
Life and disability insurance
Company 401(k) plan

Fulltime

Data Analyst

Join us as a Data Analyst at Barclays, responsible for supporting the successful...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Well-versed hands-on experience in data analysis or performing a data-focused Tech BA role. Working across a complex technical and business stakeholder matrix (multi-geography) to efficiently create process flows and detailed technical requirements
Technical analysis of data migration projects covering database & table level details, reconciliation, and SAS process migrations. Creating & maintaining Data Dictionaries, Metadata, Data Lineage, Mapping documentation, API Catalogues, and interface inventories supporting OLAP and OLTP capabilities
Strong SQL query writing abilities for small to medium complexity requirements. Strong SAS software experience performing ad-hoc analysis and BAU reporting with minimum 2 years hands-on experience
Exposure to Python programming for data analysis
automation, and scripting. Working with large datasets on data extraction, cleaning, analysis, and presentation
Understanding and implementation of Technology Application Delivery and Data Management control frameworks. Knowledge of Apache Spark, Databricks and AWS cloud services
Tableau or other data visualization tools (Power BI, Qlik, etc.) for creating interactive dashboards and reports

Job Responsibility

Supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs

Fulltime

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