data analytics developer

Cooper University Healthcare

<div>About Us:

At Cooper University Health Care, our commitment to providing extraordinary health care begins with our team. Our extraordinary professionals are continuously discovering clinical innovations and enhanced access to the most up-to-date facilities, equipment, technologies and research protocols. We have a commitment to our employees to provide competitive rates and compensation programs. Cooper offers full and part-time employees a comprehensive benefits program, including health, dental, vision, life, disability, and retirement. We also provide attractive working conditions and opportunities for career growth through professional development.
Discover why Cooper University Health Care is the employer of choice in South Jersey.
Short Description:

The Financial Analytics Developer will create reports, data visualizations and analytical solutions that deliver actionable information to business leaders. He/she will primarily utilize the PowerBI analytics and visualization platform to create, deploy and maintain reusable analytical solutions. He/she will analyze and troubleshoot user issues resulting from the use of analytical solutions developed. He/she will champion the process of redesigning reports that are manual today and deploying them into the PowerBI self-service framework to allow end users to access and use the information on demand.
Experience Required:
<ul><li>3 to 5 years of experience in business analytics and performing quantitative and qualitative analytics, preferably in the healthcare industry.</li><li>
1 to 2 years of experience working with advanced features in PowerBI. Demonstrated knowledge of best practices in data visualization.</li><li>
Experience modeling, wrangling and interpreting large data sets to inform decision-making, leveraging tools such as PowerBI Prep or Python.</li><li>
Previous experience working with healthcare (operational /financial) data and healthcare EMR systems (Epic, Clarity, Caboodle) highly preferred.</li><li>
Excellent communication skills along with the ability to work with business leaders and technical teams to gather business needs and turn them into technical requirements.</li><li>
Product management experience a plus.</li><li>
Epic Caboodle and Clarity certifications desirable.</li><li>
Excellent communication skills along with the ability to work with business leaders and technical teams to gather business needs and turn them into technical requirements.</li><li>
Self-motivated, self-directed and attentive to detail.</li></ul>
Education Requirements:

Master&rsquo;s degree required, In a STEM field (Science, Technology, Engineering, Mathematics or Business Analytics) with focus on Business Analytics.
Salary Min ($): USD $41.00 Salary Max ($): USD $70.00</div>

Financial Analytics Developer - Hybrid

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Data Science &amp; Analytics Engineer</h1>
Job Title: Data Science &amp; Analytics Engineer 
Experience: 3&ndash;11 Years 
Location:Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are looking for a talented Data Science &amp; Analytics Engineer with 3&ndash;11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, and deploy predictive and analytical models to solve business problems.</li><li>
Perform data exploration, statistical analysis, feature engineering, and model evaluation.</li><li>
Build interactive dashboards, reports, and visualizations for business stakeholders.</li><li>
Develop scalable data analytics solutions using modern cloud and big data platforms.</li><li>
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.</li><li>
Analyze structured and unstructured datasets to identify trends, patterns, and opportunities.</li><li>
Ensure data quality, governance, and best practices across analytics initiatives.</li><li>
Present analytical findings and recommendations to technical and non-technical audiences.</li><li>
Continuously improve analytics processes, reporting capabilities, and model performance.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Programming &amp; Data Science</h3><ul><li>
Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning.</li><li>
Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics.</li></ul><h3 class="jobSectionHeader">
Data Science Platforms</h3><ul><li>
Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics.</li><li>
Experience developing end-to-end analytical workflows and model deployment.</li></ul><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization.</li><li>
Ability to create interactive reports and executive-level dashboards.</li></ul><h3 class="jobSectionHeader">
Data Warehousing &amp; Analytics</h3><ul><li>
Experience with BigQuery or Snowflake for large-scale analytics and data warehousing.</li><li>
Strong understanding of SQL, data modeling, and analytical query optimization.</li></ul><h3 class="jobSectionHeader">
Analytics &amp; Machine Learning</h3><ul><li>
Experience with statistical analysis, forecasting, classification, clustering, and regression models.</li><li>
Familiarity with machine learning libraries and model evaluation techniques.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.</li><li>
3&ndash;11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Excellent communication and presentation skills.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Knowledge of MLOps, model deployment, and AI-driven analytics.</li><li>
Experience with ETL/ELT processes and data engineering concepts.</li><li>
Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage.</li><li>
Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Programming Languages: Python or R</li><li>
Data Science Platforms: Databricks or Dataiku</li><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Data Warehouse: BigQuery or Snowflake</li><li>
Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization</li><li>
Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred)</li></ul>
mLBuPrYFSv</div>

Data Science & Analytics Engineer

Datamatics Technologies

<div>
 Job Description: Data Science &amp; Analytics Engineer
 
 
 Job Title:
 
 Data Science &amp; Analytics Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are looking for a talented
 
 Data Science &amp; Analytics Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, and deploy predictive and analytical models to solve business problems
 </li>
 <li>
 Perform data exploration, statistical analysis, feature engineering, and model evaluation
 </li>
 <li>
 Build interactive dashboards, reports, and visualizations for business stakeholders
 </li>
 <li>
 Develop scalable data analytics solutions using modern cloud and big data platforms
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
 </li>
 <li>
 Analyze structured and unstructured datasets to identify trends, patterns, and opportunities
 </li>
 <li>
 Ensure data quality, governance, and best practices across analytics initiatives
 </li>
 <li>
 Present analytical findings and recommendations to technical and non-technical audiences
 </li>
 <li>
 Continuously improve analytics processes, reporting capabilities, and model performance
 </li>
 </ul>
 Required Technical SkillsProgramming &amp; Data Science
 <ul>
 <li>
 Strong proficiency in
 
 Python or R
 
 for data analysis, statistical modeling, and machine learning
 </li>
 <li>
 Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics
 </li>
 </ul>
 Data Science Platforms
 <ul>
 <li>
 Hands-on experience with
 
 Databricks or Dataiku
 
 for data science, machine learning, and collaborative analytics
 </li>
 <li>
 Experience developing end-to-end analytical workflows and model deployment
 </li>
 </ul>
 Business Intelligence &amp; Visualization
 <ul>
 <li>
 Strong experience with
 
 Power BI or Tableau or Looker
 
 for dashboard development and data visualization
 </li>
 <li>
 Ability to create interactive reports and executive-level dashboards
 </li>
 </ul>
 Data Warehousing &amp; Analytics
 <ul>
 <li>
 Experience with
 
 BigQuery or Snowflake
 
 for large-scale analytics and data warehousing
 </li>
 <li>
 Strong understanding of SQL, data modeling, and analytical query optimization
 </li>
 </ul>
 Analytics &amp; Machine Learning
 <ul>
 <li>
 Experience with statistical analysis, forecasting, classification, clustering, and regression models
 </li>
 <li>
 Familiarity with machine learning libraries and model evaluation techniques
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in Data Science, Business Analytics, or Advanced Analytics
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform
 </li>
 <li>
 Knowledge of MLOps, model deployment, and AI-driven analytics
 </li>
 <li>
 Experience with ETL/ELT processes and data engineering concepts
 </li>
 <li>
 Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage
 </li>
 <li>
 Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Programming Languages:
 
 
 Python or R
 
 </li>
 <li>
 
 Data Science Platforms:
 
 
 Databricks or Dataiku
 
 </li>
 <li>
 
 Business Intelligence:
 
 
 Power BI or Tableau or Looker
 
 </li>
 <li>
 
 Data Warehouse:
 
 
 BigQuery or Snowflake
 
 </li>
 <li>
 
 Analytics:
 
 Statistical Analysis
 
 and
 
 Predictive Modeling
 
 and
 
 Machine Learning
 
 and
 
 Data Visualization
 </li>
 <li>
 
 Cloud Platforms:
 
 
 AWS or Microsoft Azure or Google Cloud Platform
 
 (Preferred)
 </li>
 </ul>
</div>

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world 
As a Data Scientist in the aftermarket analytics team, you will drive parts and services growth by building data-driven solutions that enhance digital products and customer experiences. You will apply analytics and machine learning to solve complex problems, with a focus on personalization and recommendations. You will partner with cross-functional teams, owning components of projects end-to-end while contributing to high-impact solutions that deliver measurable business value.
What You Will Do:<ul><li>
Apply machine learning, statistical modeling, causal inference, and emerging GenAI techniques to understand customer behavior and deliver recommendation and personalization solutions that drive measurable business value</li><li>
Develop and deploy data-driven solutions that optimize digital experiences, including recommendation systems and AI-powered assistants (e.g., conversational insights, targeting, and sales enablement use cases)</li><li>
Partner with product, engineering, and business stakeholders to translate business problems into scalable analytical and AI-driven solutions</li><li>
Own components of analytics and data science projects end-to-end, from exploration and modeling to delivering production-ready insights or features</li><li>
Demonstrate strong initiative to research and apply new techniques, including GenAI approaches, to improve customer impact</li><li>
Communicate findings clearly to technical and non-technical audiences, influencing decisions through data-driven storytelling</li></ul>
What you will have:
<ul><li>Analytical Thinking: Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; Knowledge of techniques and tools that promote effective analysis.</li><li>
Data Cleaning, Analysis, and Preparation: Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.</li><li>
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Experience completing specific tasks and initiatives utilizing machine learning technologies, such as classification, regression, or optimization and specific tools and techniques to process descriptive and inferential statistics.</li><li>
Programming Languages: Experience and fluency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li>
Collaboration &amp; Effective Communication: Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.</li></ul>
Consideration for top candidates:<ul><li>
Bachelors, Masters, or PhD degree in statistics, economics, mathematics, data science or similar degree</li><li>
Experience utilizing quantitative analysis, or a Master&rsquo;s degree or PhD in related field</li><li>
Experience in eCommerce and/or digital products domains</li><li>
Experience with advanced data analysis and statistical methods including regression and hypothesis testing</li><li><div>
Practical applications of machine learning techniques, including Collaborative Filtering, Clustering, and emerging GenAI techniques</div></li><li>
Strong technical and problem-solving skills and evidence of continuous learning in the analytics field</li><li>
Experience leading analytics projects connecting data from various business domains and providing forecasts and insights to run the business profitably</li><li>
Experience with cloud technologies (AWS, Azure, Snowflake, Google Cloud, etc.)</li></ul>
Additional Details:<ul><li>
This position requires the candidate to be in Chicago, IL</li><li>
Relocation assistance is NOT available for this position</li><li>
Visa sponsorship is NOT available with this position.</li></ul>
Summary Pay Range:
$97,530.00 - $158,480.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Data Scientist, eCommerce Analytics

True Classic

<div>True Classic is hiring a Data &amp; Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.
This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices &mdash; including pipeline design, data modeling, testing, and documentation &mdash; and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.
All of True Classic&rsquo;s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.<h2 class="jobSectionHeader">
Areas of Accountability</h2><h3 class="jobSectionHeader">
Extend &amp; Maintain the Data Platform</h3><ul><li>
Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality</li><li>
Contribute to completion of open data model workstreams across inventory, media, and product functions</li><li>
Expand data source connectivity and pipeline coverage across marketing and fulfillment systems</li><li>
Maintain and improve ETL/ELT workflows via Daasity and BigQuery</li><li>
Help monitor and optimize cloud data infrastructure for cost and performance</li></ul><h3 class="jobSectionHeader">
Bridge Data to the Business</h3><ul><li>
Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders</li><li>
Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&amp;L</li><li>
Contribute to predictive models for demand forecasting, inventory planning, and revenue projections</li><li>
Build and maintain the serving layer that the AI team queries &mdash; clean, modeled BigQuery tables in place of direct API calls</li></ul><h3 class="jobSectionHeader">
AI-Augmented Development</h3><ul><li>
Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development</li><li>
Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools</li><li>
Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring</li></ul><h3 class="jobSectionHeader">
Cross Functional Collaboration</h3><ul><li>
Work with finance to ensure financial data structures support forecasting and P&amp;L reporting needs</li><li>
Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications</li><li>
Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
4+ years of experience in data engineering or analytics engineering</li><li>
Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation</li><li>
Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development</li><li>
Strong SQL skills including joins, window functions, and CTEs</li><li>
Python proficiency for pipeline scripting, API integrations, and light modeling</li><li>
Familiarity with statistical modeling and predictive analytics (regression, time series)</li><li>
Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations</li><li>
Proficiency with AI coding tools &mdash; daily use expected</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
NetSuite or ERP experience</li><li>
Daasity, Shopify/Amazon data</li><li>
Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),</li><li>
Omni/Looker, GitHub-based workflows</li></ul><h2 class="jobSectionHeader">
Workplace Arrangement</h2>
This role is on-site (5x week in office) based in Calabasas, CA.<h2 class="jobSectionHeader">
Compensation and Benefits</h2><h3 class="jobSectionHeader">
Compensation</h3><ul><li>
Competitive Salary + bonus</li></ul><h3 class="jobSectionHeader">
Time Off</h3><ul><li>
Unlimited PTO and sick time</li></ul><h3 class="jobSectionHeader">
Health &amp; Wellness</h3><ul><li>
Company-paid medical, dental, and vision insurance</li><li>
$100/month Health &amp; Wellness stipend</li><li>
Free Employee Assistance Program (EAP)</li></ul><h3 class="jobSectionHeader">
Work &amp; Growth Support</h3><ul><li>
$100/month Personal Workspace/Office stipend</li></ul><h3 class="jobSectionHeader">
Perks</h3><ul><li>
$1,000/year True Classic merchandise allowance</li><li>
401(k) plan with 3% company match</li></ul></div>

Data & Analytics Engineer

Wells Fargo

<div>Description
Title:Data Analytics Engineer
Location: Chandler, AZ
Duration: 104 W, 2 D
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Business Execution and contribute to large-scale planning related to Business Execution deliverables. Review and analyze moderately complex Business Execution challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Business Execution deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Business Execution. Required Qualifications: Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Requirements:<ul><li>Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.</li><li>Design and maintain Power BI dashboards that deliver actionable insights for technology, risk, and governance stakeholders.</li><li>Develop and optimize SQL queries for data extraction, analysis, validation, and reporting.</li><li>Automate data extraction, transformation, and reporting processes using Power Query and ETL methodologies.</li><li>Partner with stakeholders to gather requirements and translate business needs into effective technical solutions.</li><li>Analyze complex data sets to identify trends, risks, opportunities, and process improvements.</li><li>Create and manage user stories, requirements, and development activities within Jira for ServiceNow development.</li><li>Provide ongoing support, enhancements, and continuous improvement for reporting and analytics solutions.</li></ul><ul><li>
PowerBI development</li><li>
Github,</li><li>
SQL Query,</li><li>
Data visualization</li></ul></div>

Data Analytics Engineer (contract)

Pantheon Data

<div>Company Overview
Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.
Position Overview
The Data Analytics Technical Expert provides executive-level analytics leadership, business intelligence expertise, and strategic guidance supporting enterprise analytics, performance management, and decision support capabilities.
Responsibilities<ul><li>
Lead analytics modernization initiatives.</li><li>
Direct business intelligence and data visualization efforts.</li><li>
Oversee performance measurement and reporting frameworks.</li><li>
Support project portfolio management and analytics governance.</li><li>
Conduct strategic analyses supporting mission objectives.</li><li>
Guide teams in the development of advanced reporting and dashboard solutions.</li><li>
Present findings to executive stakeholders.</li></ul>
Required Skills and Experience<ul><li>
Bachelor's degree in Engineering, Business, Data Analytics, or related field.</li><li>
CSPO, DHS Mid-Level Project Management Certification, or equivalent.</li><li>
10 years of relevant experience, or 5 years with a Master's degree.</li><li>
Ability to work effectively remotely in cross-functional teams.</li><li>
Ability to meet deadlines and produce quality work.</li><li>
Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.</li></ul>
Clearance Requirements
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Ability to obtain Public Trust prior to hire and maintain during employment is required.
Work Location: Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.)<ul><li>
Hybrid work schedule with periodic onsite support.</li><li>
Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.</li><li>
If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site.</li><li>
If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements.</li></ul>
Compensation
The salary range for this position is $100,000 - $200,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Benefits Overview
We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/
Pantheon Data Important Information
All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020.
This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster</div>

Data Analytics Technical Expert

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5061 data analytics developer jobs Near Me

Financial Analytics Developer - Hybrid

Data Science & Analytics Engineer

Data Science & Analytics Engineer

Data Scientist, eCommerce Analytics

Data & Analytics Engineer

Data Analytics Engineer (contract)

Data Analytics Technical Expert