389 results for Data Analyst Technology jobs

Data Engineer

Mayville, WI
remote
Temporary
66.5 - 77 USD / Hourly
We are looking for an experienced Data Engineer to join our dynamic team in Mayville, Wisconsin. In this role, you will play a key part in developing and enhancing reporting and analytics solutions within a modern data environment. The ideal candidate is passionate about transforming complex data into actionable insights, improving processes, and creating reliable reporting systems. This is a long-term contract position offering the opportunity to make a meaningful impact within a collaborative and forward-thinking team. Responsibilities: • Design, develop, and maintain scalable data pipelines to support reporting and analytics needs. • Create and optimize Power BI dashboards and reports to deliver accessible and trustworthy insights. • Automate workflows using Power Automate to improve operational efficiency. • Develop scripts using languages such as PowerShell or Python to streamline data processing tasks. • Integrate and manage data sources including Oracle, Snowflake (hosted within Azure), and other enterprise systems. • Collaborate with stakeholders to gather requirements and deliver customized solutions. • Support the transition to cloud-based data environments, including Azure Data Warehouse and Fabric. • Troubleshoot and resolve data-related issues, ensuring data integrity and reliability. • Document processes and workflows to ensure clarity and maintainability. • Stay updated on industry trends to recommend and implement innovative data solutions.
2026-03-05T00:00:00Z

Data Engineer

Saddle Brook, NJ
onsite
Permanent
125000 - 140000 USD / Yearly
We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives. Key Responsibilities Database Design & Management<ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul>Strategic SQL & Data Engineering<ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul>Data Pipeline Automation & Orchestration<ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul>Performance Optimization<ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul>Data Integrity & Security<ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul>Documentation<ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
2026-03-16T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent
110000 - 140000 USD / Yearly
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals. Responsibilities: • Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers. • Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures. • Ensure data security and access through role-based controls and best practices for data sharing. • Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions. • Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets. • Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies. • Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations. • Implement automated workflows and CI/CD processes for seamless deployment of data solutions. • Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation. • Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
2026-03-03T00:00:00Z

Data Engineer

New York, NY
remote
Permanent
147000 - 172000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms. Responsibilities: • Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration. • Design and maintain scalable data solutions, including data warehouses and data lakes. • Collaborate with cross-functional teams to identify data requirements and deliver actionable insights. • Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization. • Leverage Python and SQL to build robust data workflows and automate processes. • Employ orchestration tools like Airflow and dbt to streamline data operations. • Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau. • Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights. • Implement CI/CD pipelines and DevOps practices to enhance data engineering processes. • Ensure data security and compliance across all systems and tools.
2026-03-05T00:00:00Z

Data Engineer

Miami, FL
onsite
Temporary
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-03-09T00:00:00Z

Data Engineer

Saginaw, MI
remote
Permanent
140000 - 150000 USD / Yearly
The Senior Data Engineer plays a key role in architecting, developing, and operating reliable, production-ready data solutions that enable analytics, automation, and operational processes across our client’s organization. Operating within a modern, cloud-based data ecosystem, this role is responsible for bringing together data from internal platforms and external partners, transforming it into trusted, high-quality assets, and delivering it consistently to downstream users and systems. The work spans the full data lifecycle—ingestion, orchestration, transformation, and delivery—and blends advanced SQL development with Python-based pipeline and workflow automation. This role sits at the intersection of data and systems engineering and works closely with Business Intelligence, Business Technology, and operational teams to ensure data solutions are scalable, dependable, and aligned with real business outcomes.
2026-03-06T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
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2026-03-13T00:00:00Z

Data Engineer

Denton, TX
onsite
Permanent
100000 - 120000 USD / Yearly
Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders.
2026-03-17T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary
60 - 75 USD / Hourly
Since it’s 2026, the Data Engineering landscape in DC has shifted heavily toward Cloud-Native architectures and GenAI-ready pipelines. Robert Half typically recruits for both their internal corporate teams and their high-end consulting arm (Protiviti).Here is a tailored job description based on current 2026 market standards and Robert Half’s specific hiring trends in the District. Job Title: Data EngineerLocation: Washington, DC (Hybrid – Downtown DC Office)Company: Robert Half Employment Type: Contract-to-HireRole OverviewAs a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren't just "moving data"; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.
2026-02-16T00:00:00Z

Data Engineer

Jacksonville, FL
remote
Permanent
120000 - 130000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation. Responsibilities: • Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines. • Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization. • Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts. • Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics. • Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction. • Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid. • Collaborate with product and operations teams to translate complex business questions into actionable data models and queries. • Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation. • Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.
2026-02-25T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary
59.375 - 68.75 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Washington, District of Columbia. In this role, you will play a key part in designing and implementing secure, scalable solutions to support data and analytics initiatives. This is a long-term contract position, offering the opportunity to work with cutting-edge technologies and contribute to impactful projects. Responsibilities: • Develop, test, and maintain robust data pipelines and engineering solutions to support analytics and integrate new data sources. • Collaborate with team members, stakeholders, and external vendors to evaluate and implement reliable, scalable, and secure technologies. • Create efficient, automated processes to handle repetitive data management tasks. • Conduct targeted data manipulation and analysis across diverse datasets. • Implement advanced security measures within data warehouses and analytics platforms to counter evolving threats. • Document technical processes and solutions to ensure seamless collaboration and knowledge sharing. • Monitor and optimize system performance to ensure scalability and reliability. • Stay updated on emerging data engineering trends and incorporate them into workflows.
2026-03-11T00:00:00Z

Data Engineer

Grandville, MI
remote
Contract / Temporary to Hire
52.25 - 60.5 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams. Responsibilities: • Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives. • Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses. • Ensure data governance policies are implemented and monitored, including retention and backup protocols. • Collaborate with teams across departments to translate business requirements into technical specifications. • Monitor and optimize the performance of data assets, identifying opportunities for improvement. • Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure. • Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities. • Mentor and support team members by sharing technical expertise and providing guidance. • Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement. • Stay up to date with emerging trends and advancements in data engineering and architecture.
2026-03-02T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics. Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure data services.</li><li>Build and manage data solutions using tools such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks.</li><li>Develop and optimize data models, transformations, and storage strategies for large-scale structured and unstructured datasets.</li><li>Ensure data quality, integrity, and security across the data platform.</li><li>Monitor and troubleshoot data workflows, pipeline failures, and performance issues.</li><li>Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.</li><li>Implement data governance and best practices for data management and documentation.</li><li>Automate data processes and deployments using CI/CD pipelines and infrastructure-as-code practices.</li><li>Optimize cost and performance of Azure data services.</li><li>Stay current with new Azure features, tools, and industry best practices.</li></ul>
2026-03-09T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Position OverviewWe are seeking a talented Data Engineer with strong experience in Python, AWS, and Databricks to design and build scalable data pipelines and modern data platforms. The ideal candidate will help develop and maintain data infrastructure that supports analytics, machine learning, and business intelligence initiatives. This role requires hands-on experience working with large datasets, cloud-native architectures, and distributed data processing frameworks. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python and cloud technologies.</li><li>Develop and optimize data solutions using AWS services and Databricks.</li><li>Build and manage data lakes and data warehouses for structured and unstructured data.</li><li>Implement data transformation and processing pipelines using Apache Spark within Databricks.</li><li>Integrate data from multiple sources including APIs, databases, and streaming systems.</li><li>Ensure data quality, governance, security, and compliance across the data platform.</li><li>Monitor pipeline performance and troubleshoot data pipeline failures or latency issues.</li><li>Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable datasets.</li><li>Optimize storage and compute costs within the AWS ecosystem.</li><li> </li></ul>
2026-03-09T00:00:00Z

Business Intelligence Analyst

Rochester, NY
remote
Temporary
29 - 34 USD / Hourly
Role OverviewYou will analyze non‑IT business problems, develop requirements, prepare ROI evaluations, and document current vs. future state processes. In addition, you will manage data extraction, validation, testing, reporting, and dashboard development to support decision‑making and data quality improvements.Key Responsibilities<ul><li>Analyze business processes and define improvement requirements</li><li>Prepare ROI and financial payback documentation</li><li>Document current/desired state workflows and recommend solutions</li><li>Manage full data lifecycle: extraction → validation → testing → analysis</li><li>Build dashboards and reports to support SAP transition and business insights</li><li>Ensure data accuracy and work cross‑functionally with business and technical teams</li></ul>
2026-02-24T00:00:00Z

EMR Data Analyst

Delray Beach, FL
onsite
Temporary
23 - 24 USD / Hourly
We are hiring for an EMR Data Analyst and play a critical role in driving our data reporting and electronic health record (EHR) optimization initiatives! If you have a passion for healthcare data, analytical acumen, and a desire to work with EMR/EHR systems, we want to hear from you.Key Responsibilities:<ul><li>Collaborate across business and IT teams to manage EHR/EMR data retrieval, analysis, and reporting</li><li>Organize and communicate data findings to leadership, supporting strategic decision-making</li><li>Develop data solutions integrating multiple internal applications and platforms</li><li>Build and manage data reporting for both internal and external stakeholders</li><li>Ensure timely daily, monthly, and quarterly uploads and submissions as required</li><li>Maintain strict data security standards and access controls</li><li>Deliver ongoing user support, training, and onboarding for EMR software</li><li>Participate in meetings, training sessions, and other initiatives as assigned</li></ul>
2026-03-14T00:00:00Z

Business Analyst IT L2

Torrance, CA
onsite
Temporary
44 - 51 USD / Hourly
OverviewWe are seeking a detail‑oriented Business & Data Analyst to support business analysis and data analytics initiatives across one or more projects. This role will partner closely with business stakeholders, technical teams, and project leadership to analyze business processes, define requirements, perform data analysis, and support data‑driven decision making.The ideal candidate combines strong analytical skills with the ability to translate business needs into clear technical and data requirements. Key ResponsibilitiesBusiness Analysis<ul><li>Collaborate with stakeholders to understand business objectives, processes, and requirements</li><li>Analyze current business operations to identify gaps, inefficiencies, and opportunities for automation or enhancement</li><li>Identify operational improvement opportunities and recommend practical, data‑driven solutions</li><li>Gather, refine, validate, and document complex business requirements, dependencies, risks, and issues</li><li>Translate high‑level requirements into detailed functional requirements, technical specifications, and user stories</li><li>Ensure requirements are clear, concise, and aligned with overall business goals</li></ul>rData Analysis & Reporting<ul><li>Collect, clean, and analyze data to uncover trends, patterns, and actionable insights</li><li>Conduct data profiling on new data domains to support analytics and ETL development</li><li>Develop and maintain data models, dashboards, reports, and KPIs</li><li>Translate business reporting needs into technical requirements for dashboards and analytics solutions</li><li>Interpret and communicate insights effectively to both technical and non‑technical audiences</li></ul>dCross‑Functional Collaboration<ul><li>Partner with developers, designers, subject matter experts, and business stakeholders to ensure accurate requirement implementation</li><li>Support the team lead with business and data analysis across assigned projects</li><li>Participate in Agile ceremonies including backlog grooming, sprint planning, standups, and retrospectives</li><li>Lead System Integration Testing (SIT) activities related to data migration and validation</li><li>Assist with UAT, data quality validation, and post‑deployment verification</li><li>Present findings, insights, and project updates to stakeholders at varying technical levels</li></ul> Additional Responsibilities<ul><li>Prepare documentation including:</li><li>User stories</li><li>Acceptance criteria</li><li>Process maps</li><li>Workflow diagrams</li><li>Monitor data quality issues and support resolution of discrepancies between source systems and curated dashboards</li><li>Contribute to continuous improvement efforts by recommending tools, processes, and best practices for business analysis and data analytics</li></ul>
2026-03-10T00:00:00Z

Data Architect

Jacksonville, FL
onsite
Temporary
0 - 0 USD / Yearly
Architect and lead the modern data platform using Microsoft Fabric. You’ll define data models, pipelines, governance, and performance patterns that power analytics at scale.What You’ll Do<ul><li>Design end‑to‑end architectures leveraging Fabric (OneLake, Lakehouses, Warehouses)</li><li>Define medallion/layered models, dimensional designs, and semantic layers</li><li>Lead ingestion and transformation with Dataflows Gen2 / Data Factory / Notebooks</li><li>Establish governance (data quality, lineage, security, RLS/OLS)</li><li>Optimize performance and cost; standardize reuseable patterns</li><li>Mentor data engineers/analysts; review solutions and set best practices</li><li>Partner with business to translate use cases into scalable models</li></ul>
2026-02-27T00:00:00Z

Data Architect

Minneapolis, MN
remote
Permanent
130000 - 165000 USD / Yearly
We are looking for an experienced Data Architect to design and implement cutting-edge data solutions that meet the evolving needs of our enterprise. This role involves building secure, scalable, and high-performing data platforms while leveraging modern technologies and aligning with organizational goals. The ideal candidate will have expertise in cloud-based architecture, data governance, and advanced analytics, driving innovation across diverse business functions. Responsibilities: • Develop comprehensive data architecture strategies for advanced analytics and big data solutions using Azure Databricks. • Design and implement Databricks Delta Lake-based Lakehouse architecture, utilizing PySpark Jobs, Databricks Workflows, Unity Catalog, and Medallion architecture. • Optimize and configure Databricks clusters, notebooks, and workflows to ensure efficiency and scalability. • Integrate Databricks with Azure services such as Azure Data Lake Storage, Azure Data Factory, Azure Key Vault, and Microsoft Fabric. • Establish and enforce best practices for data governance, security, and cost management. • Collaborate with data engineers, analysts, and business stakeholders to translate functional requirements into robust technical solutions. • Provide technical mentoring and leadership to team members focused on Databricks and Azure technologies. • Monitor, troubleshoot, and enhance data pipelines and workflows to maintain reliability and performance. • Ensure compliance with organizational and regulatory standards regarding data security and privacy. • Document configurations, processes, and governance standards to support long-term scalability and usability.
2026-03-04T00:00:00Z

Data Architect

Green Bay, WI
onsite
Permanent
140000 - 160000 USD / Yearly
Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards. You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization. Key Responsibilities:<ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
2026-02-17T00:00:00Z

Business Analyst with Power BI

Spring, TX
onsite
Permanent
100000 - 125000 USD / Yearly
We are looking for a skilled Business Analyst with expertise in Power BI to join our team in Spring, Texas. The ideal candidate will have a strong background in analyzing business processes, collaborating with cross-functional teams, and delivering actionable insights to drive operational success. This role involves leveraging analytical tools and methodologies to identify and address business needs effectively. Responsibilities: • Conduct thorough business analysis to identify and address operational challenges and opportunities. • Collaborate with call center teams to enhance customer service processes and identify areas for improvement. • Review and evaluate documents to ensure accuracy and alignment with project goals. • Utilize Agile Scrum methodologies to manage project workflows and deliver results efficiently. • Perform gap analysis to identify discrepancies between current and desired business processes. • Develop and present Power BI dashboards and reports to communicate key findings and recommendations. • Work closely with stakeholders to gather requirements and ensure alignment with business objectives. • Support the implementation of solutions by coordinating with technical and non-technical teams. • Monitor project progress and provide regular updates to relevant stakeholders. • Analyze data to provide actionable insights that support decision-making and strategic planning.
2026-03-17T00:00:00Z

Director of Data Analytics

West Valley City, UT
onsite
Permanent
120000 - 140000 USD / Yearly
Position Summary:Drive and shape the organization’s overarching data and analytics strategy to deliver actionable insights that directly support critical business decision-making.Key Responsibilities:<ul><li>Develop and execute the company’s data and analytics roadmap to ensure reporting and analysis capabilities empower organizational objectives.</li><li>Remain abreast of industry trends, emerging technologies, and relevant external reports; synthesize and communicate key findings to the leadership team and stakeholders.</li><li>Lead all aspects of internal and external reporting, ensuring data outputs are accurate, comprehensive, auditable, and have clearly defined ownership.</li><li>Oversee creation and delivery of executive reports, frameworks, dashboards, and recurring presentations that provide actionable intelligence to senior leadership.</li><li>Align data priorities with senior leaders, offering consistent and proactive communication of project status, risks, dependencies, and critical trade-offs.</li><li>Establish rigorous procedures for intake, prioritization, and delivery of analytics projects—managing scope, timelines, and escalation as needed.</li><li>Foster a results-driven culture of accountability by actively monitoring and driving progress on key analytics initiatives.</li><li>Create and maintain robust governance and controls to ensure high-quality, efficient, and reliable reporting processes.</li><li>Standardize metrics and frameworks to ensure consistency and reliability across all reporting channels and business units.</li><li>Build, mentor, and lead analytics and reporting teams, including recruiting, coaching, and setting high performance and stakeholder engagement standards.</li><li>Partner cross-functionally to address data challenges, enable self-service analytics, and further automate and enhance reporting effectiveness.</li><li>Ensure stakeholder satisfaction and delivery of measurable business outcomes from data and analytics initiatives.</li></ul>Minimum Qualifications:<ul><li>Over 10 years of experience with advanced data analysis, relational databases, and enterprise analytics tools.</li><li>Advanced proficiency in database management, data extraction, analytics, and visualization technologies.</li><li>Demonstrated expertise in SQL, SSRS, SSIS, ETL processes, Excel, Python, and PowerPoint.</li><li>Experience with diverse data transformation, reporting, and analytics tools or programming languages.</li><li>Exceptional written and verbal communication skills; proven ability to present complex analytical insights to senior executives and cross-functional teams.</li><li>Strong organizational and project management skills; proven success managing multiple, concurrent projects.</li><li>Demonstrated leadership in team management, coaching, and talent development within analytics or reporting environments.</li><li>Experience overseeing high-stakes internal and external reporting commitments.</li></ul>Preferred Qualifications:<ul><li>Experience with additional data visualization and analytics platforms.</li><li>Thrives in fast-paced environments; maintains keen attention to detail under pressure.</li><li>Familiarity with compliance, regulatory, or governance requirements related to enterprise analytics and reporting.</li></ul>
2026-03-11T00:00:00Z

Jr. Data Analyst

Jersey City, NJ
onsite
Permanent
55000 - 60000 USD / Yearly
We are looking for an entry-level Data Analyst to join our team in Jersey City, New Jersey. In this role, you will contribute to optimizing data processes and support data-driven decision-making within the organization. You will work with diverse data sets, automate workflows, and design advanced data models to improve operational efficiency and analytics capabilities. Responsibilities: • Collect, transform, and manage large data sets to streamline sourcing across a wide portfolio of vendors, suppliers, and products. • Standardize and cleanse data from multiple systems to ensure consistency and accuracy. • Validate and aggregate incoming raw data for integration into databases and analytical models. • Address data gaps across various domains to enhance overall data quality. • Extract data from multiple sources to support larger analytics projects and initiatives. • Promote best practices for data usage and management across the organization, including newly acquired entities. • Assist in integrating analytics models into production workflows to optimize functionality.
2026-03-10T00:00:00Z

Digital Marketing Analyst

Southfield, MI
onsite
Temporary
0 - 0 USD / Yearly
OverviewThe Digital Marketing Analyst is responsible for collecting, analyzing, and interpreting digital marketing data to help drive strategic decisions across campaigns, channels, and customer journeys. This role supports marketing teams with actionable insights, reporting dashboards, testing recommendations, and performance optimization to maximize ROI and improve overall marketing effectiveness. Key Responsibilities<ul><li>Analyze performance data across digital channels including paid search, paid social, email, display, SEO, and website analytics.</li><li>Build and maintain dashboards, weekly/monthly reports, and KPI scorecards using tools such as Google Analytics, Looker, Tableau, Power BI, or similar.</li><li>Partner with channel managers to provide insights that improve CTR, conversion rates, CAC, ROAS, and engagement metrics.</li><li>Conduct deep‑dive analysis on campaigns, audiences, funnels, and attribution paths.</li><li>Support A/B testing and experimentation by forming hypotheses, building test plans, and evaluating results.</li><li>Monitor website traffic patterns, user behavior, and key conversion events to uncover opportunities for optimization.</li><li>Work with marketing operations and CRM teams to ensure data accuracy, segmentation quality, and tracking integrity.</li><li>Assist in forecasting, budgeting, and performance modeling efforts.</li><li>Ensure tracking frameworks, UTM parameters, and tagging structures are accurate and properly implemented.</li><li>Present findings and recommendations to stakeholders in a clear, data‑driven format.</li></ul>
2026-03-16T00:00:00Z

Digital Marketing Analyst

Alexandria, VA
onsite
Temporary
48 - 55 USD / Hourly
Robert Half is seeking a data-driven and strategic Digital Marketing Analyst to support one of our clients in Washington, DC. This contract opportunity is ideal for a marketing professional who enjoys turning data into meaningful insights that drive smarter marketing decisions.In this role, you will partner with cross-functional marketing teams to analyze digital campaign performance, identify optimization opportunities, and deliver insights that strengthen overall marketing strategy. The ideal candidate is both analytical and creative—someone who understands the numbers behind marketing while also appreciating the strategy and storytelling that make campaigns successful.This position offers an exciting opportunity to work in a fast-paced marketing environment where your insights will directly influence campaign performance, audience engagement, and digital growth. Key Responsibilities• Analyze and evaluate performance across multiple digital marketing channels including paid media, search, social media, email marketing, and website traffic.• Track, monitor, and report on campaign KPIs such as conversions, engagement, impressions, traffic, and lead generation.• Develop dashboards and performance reports that provide actionable insights for marketing and leadership teams.• Identify trends, patterns, and opportunities to optimize digital marketing strategies and improve ROI.• Collaborate closely with marketing managers, content teams, and digital strategists to support campaign planning and optimization.• Conduct A/B testing and performance experiments to improve marketing outcomes.• Use analytics tools to monitor user behavior and identify opportunities to enhance the customer journey.• Support SEO and paid advertising initiatives by analyzing keyword performance, search traffic, and campaign effectiveness.• Translate complex data into clear, easy-to-understand recommendations for stakeholders.• Assist with forecasting performance and providing data-driven recommendations for future campaigns.
2026-03-09T00:00:00Z

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