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About Us

Perform Properties is a Blackstone Real Estate portfolio company focused on high-performing retail and office properties with People-Appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, the company oversees over 33 million square feet of retail and office properties across the U.S. Learn more: .

Role Summary

Our VP, Data & Analytics unlocks data-driven growth at the speed of natural language through AI-enabled execution across Perform Properties. An innovative architect with deep business literacy, the VP, Data & Analytics will lead our efforts to put data at the center of our Technology capabilities with a modern, performant and AI-ready data & analytics platform. This critical capability will serve a wide range of business functions, enabling Investments, Portfolio, Operations and Finance people to put AI, BI, Analytics and other emerging technologies to work for them every day – not just talk about the potential & possibilities.

This role reports to the Chief Technology Officer and is based in the office, 5 days a week.

Essential Job Functions

• Drive Data Architecture & Engineering excellence that actively reduces our Coordination Tax
• Build Data Modelling & Analytics capabilities to reduce our Time-to-Productivity
• Champion Artificial and Business Intelligence (AI / BI) capabilities through compelling next generation interactions (Visualization, Natural Language & Agentic) that reduce our Time-to-Insight
• Cultivate Data governance & stakeholder engagement that creates real shared ownership of our platform
• Model the successful use of AI as a capabilities & resource extension, not just a gimmick
• Develop individuals & teams of technologists in the Data & Analytics space as their leader

Qualifications and Technical Competencies

• 10+ years leading Data Science, Data Engineering, Analytics and/or AI / ML-focused teams
• 5-7 years managing agile projects (Scrum, Kanban, SAFe)
• 3-5 years managing people (direct reports, manager of managers)
• Demonstrable success working with modern data platforms (Databricks, Snowflake, BigQuery, RedShift, Synapse)
• Demonstrable success delivering AI / ML initiatives (Natural Language Processing, Predictive Modeling, Statistical Modeling)
• Advanced proficiency in common data engineering tools (R, Python, DBT, SQL, Azure Data Factory)
• Advanced proficiency in common visualization tools (Tableau, PowerBI)
• Bachelor’s Degree in Computer Science, Mathematics or relevant tertiary education

Benefits & Compensation

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

Base Salary Range: $225,00-$265,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Closing

EEO Statement

Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email

#LI-Onsite

• Own and manage clinical data management activities for assigned early-phase oncology studies, ensuring data quality, integrity, and inspection readiness.
• Serve as the primary owner and administrator of the company’s Medidata platform, including Cloud Admin configuration and maintenance, user access management, etc.
• Provide oversight of EDC builds and updates, including review and approval of database specifications and edit check specifications, completion of UAT, etc.
• Develop and implement data review plans and coordinate ongoing external and internal data cleaning and query management activities.
• Review data listings to support study oversight and decision-making.
• Collaborate cross-functionally with Clinical Operations, Clinical Science, Biostatistics, Medical, and external vendors/CROs to ensure alignment and timely data delivery.
• Monitor data management metrics and reports to ensure compliance with protocols and study plans.
• Contribute to process improvement, SOP development, and inspection readiness activities as the clinical organization continues to scale.
  
  

• Bachelor’s degree in life sciences, data science, or a related field.
• 6+ years of clinical data management experience, with at least 3 years in oncology clinical trials.
• Prior experience in early-phase (Phase 1/1b/2) oncology trials within a biotech or CRO setting.
• Extensive hands-on experience with Medidata including Cloud Admin and Rave EDC.
• Elluminate administration experience a plus
• Strong understanding of CDISC standards.
• Experience working with CROs and vendors, including oversight of outsourced data management activities.
• Working knowledge of GCP, ICH, and regulatory expectations for clinical data.
• Highly detail-oriented with strong organizational and problem-solving skills.
• Adaptable mindset with interest in helping build and scale data management capabilities.
  
  

Overall Responsibility:

This role supports the design, development, and optimization of Arora’s enterprise data and ERP systems. This role reports directly under the Data Analytics Manager to improve financial reporting, support platform integrations, and build scalable data architecture that enables informed decision-making across the organization.

The position combines technical execution (SQL, automation, system configuration) with financial reporting support and cross-platform integration work to ensure accuracy, efficiency, and long-term system sustainability.

Essential Functions:

• Execute reporting and system requests in alignment with established data governance standards and reporting frameworks under the direction of the Data Analytics Manager.
• Contribute to the design of data models and system workflows that reduce manual processes and improve cross-functional data visibility.
• Support internal dashboards by creating backend data solutions and integrating with Vision.
• Provide system-level troubleshooting and ensure data consistency and reliability across platforms.
• Collaborate with teams to streamline processes through automation and data tools.
• Maintain documentation of data procedures, workflows, and system modifications.
• Support financial reporting and analysis by developing standardized, scalable reporting solutions aligned with company-wide data architecture.
• Assist in translating financial and operational requirements into structured reporting outputs and automation workflows.
• Assist in platform integrations (ERP, CRM, BI tools, and other enterprise systems) to support long-term architectural alignment and scalability.

Needed Skills:

• Ability to program in SQL at an expert level to assist data processes. Potential need for other programming language knowledge (Java, Python, etc.).
• Ability to create and maintain productive relationships with employees, clients, and vendors.

Education/Experience Minimum:

• 3-5 years of experience
• Strong programming skills having the ability to write complex queries.
• Preferred familiarity with all Microsoft platforms, including but not limited to Excel, Power BI, SharePoint, and SQL Server.
• Preferred experience with Deltek Vision v7.6 and VantagePoint
• Experience in building automated processes and data workflows.
• Strong problem-solving and attention to detail.

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

About Us:

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

As the Data Analyst, Strategic Insights & Visualization you will play a dual role within our data organization: you will be the primary storyteller for our business performance, but you will also be a hands-on technical practitioner responsible for the integrity of our reporting suite. You won’t just build dashboards; you will define the metrics that drive our strategy. Whether it’s untangling a complex business logic request, auditing data quality in our Power BI apps, or partnering with business leaders to prioritize their roadmaps, you will lead with data. If you are a proactive problem-solver who loves to turn raw numbers into actionable business narratives, this is the role for you.

Responsibilities

Technical Execution

• Reporting & Visualization: Act as the primary resource for building and maintaining Power BI reports and dashboards. Personally manage the end-to-end deployment of Power BI Apps, ensuring high performance and intuitive user experiences.
• Metric Logic: Write and optimize the SQL and DAX required for complex business logic. Work with the data engineering team to pull the necessary data across source systems. Take ownership of metric definitions to ensure consistency across all departments, from ERP inventory tracking to Ecommerce sales performance.
• Support & Triage: Manage the support queue for reporting incidents. Investigate data discrepancies, perform root cause analysis on quality issues, and ensure that our "source of truth" remains accurate and trusted by the organization.

Leadership & Operations

• Data Governance: Lead the development and maintenance of the enterprise data dictionary and business glossary. Ensure that all technical terms are translated into clear business language for non-technical stakeholders.
• Quality Control: Define and implement data quality rules and readiness scoring. Monitor data freshness and completeness, proactively alerting the engineering team when pipelines impact reporting SLAs.
• Security & Access: Help define access control and data security within the reporting environment, ensuring that users have the appropriate permissions and that sensitive data is protected according to company standards.

Stakeholder Collaboration

• Business Liaison: Act as the primary bridge between the data team and business leaders. Translate vague requests ("we need better inventory insights") into clear technical requirements and prioritized project milestones.
• Domain Prioritization: Participate in quarterly planning to sequence requests for Ecommerce, ERP, and Operations. Collaborate with the AI/ML team to prioritize use cases and define KPIs for advanced analytics initiatives.
• Self-Service Enablement: Conduct work sessions with business users to promote BI tool adoption and empower departments to perform their own ad-hoc analysis.

Experience, Skills, & Ability Requirements

• Bachelor’s degree in Business Analytics, Statistics, Information Systems, or equivalent professional experience
• 3+ years of hands-on experience in a Data Analyst or Business Intelligence role, preferably supporting Ecommerce or Retail operations.
• Proven track record of translating complex business requirements into robust, automated analytic reports and dashboards.
• Strong SQL skills and the ability to write complex queries to extract and transform data
• Proven proficiency in Power BI and DAX; experience managing Power BI service, workspaces, and app deployments.
• Strong understanding of data modeling concepts, specifically Star Schema and dimensional design.
• Experience with Microsoft Fabric or the Azure data stack.
• Proactive attitude toward data quality and a "details-matter" mindset when auditing reports.
• Excellent communication skills with the ability to explain complex data trends to executive stakeholders.
• Familiarity with Tableau.
• Microsoft Certified: Power BI Data Analyst Associate (PL-300).
• Experience modeling datasets (such as inventory, sales, or web performance) to identify trends, correlations, and performance gaps.
• Knowledge of basic Python for advanced forecasting or data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

Covenant Technology Partners is a US based Microsoft Partner, management and technology consulting and Managed Services firm specializing in helping our clients through innovative use of Microsoft technologies. Our team members grow in an energetic, team-oriented and entrepreneurial-minded firm with challenging consulting projects and Managed Services engagements. Covenant attracts highly qualified and diverse professionals nationwide with the right combination of business, technical and creative skills. Our consultants are motivated to make a personal impact on both the growth and success of the firm and their personal careers.

The Data & Analytics / Microsoft 365 Intern is a full-time, 12-week summer internship beginning in May and is structured as a dual-track experience. The intern’s time will be intentionally divided between:

• Managed Services, supporting operational Microsoft environments
• Data & AI Consulting, contributing to data analytics and applied AI initiatives

The program is designed to provide exposure to the full solution lifecycle—from operational support to solution delivery—while developing professional consulting skills, technical fundamentals, and business acumen.

The role emphasizes professional consulting skills, technical fundamentals, documentation, and continuous learning aligned with Covenant Technology Partners’ standards.

The work location for this role is flexible, but candidates based in St. Louis or near St. Louis may be better positioned for periodic in-person engagement.

Responsibilities:

Managed Services Rotation (Operational Experience)

• Assist with ticket triage and support workflows under supervision
• Support Microsoft 365 administration and governance activities (Teams, SharePoint, OneDrive, Exchange, Entra ID)
• Update runbooks and standard operating procedures
• Observe and document SLA, escalation, and operational processes
• Contribute to process improvement initiatives

Data & AI Consulting Rotation (Solution Delivery Experience)

• Assist with data preparation, basic data modeling, and reporting tasks
• Support Power BI, automation, or analytics solution development
• Contribute to applied AI or proof-of-concept initiatives under guidance
• Develop professional documentation including solution notes, diagrams, and handoff materials

Professional Development

• Engage in structured AI and Microsoft learning (2–3 hours per week)
• Participate in mentor and manager check-ins
• Attend internal enablement sessions and practice meetings
• Deliver a final capstone presentation summarizing contributions, learning outcomes, and improvement recommendations

Qualifications:

Education, License or Certification:

• Currently pursuing a Bachelor’s or a Master’s degree in Information Systems, Computer Science, Data Analytics, Business Analytics or related field

Experience:

• Foundational understanding of data concepts (tables, joins, relational structures)
• Exposure to SQL, reporting tools (e.g., Power BI), Microsoft 365, or Azure is a plus
• Strong written and verbal communication skills
• Demonstrated interest in both technology operations and data-driven solution delivery

We foster diversity, in part, by imposing a strict policy of non-discrimination. Employment decisions are made without regard to race, color, ethnicity, national origin, sex, sexual orientation, gender identity, age, religion, disability, veteran or military status, genetic information or other status protected by the law.

We value the unique skills and experiences that veterans and separated service members bring to our workforce. While serving our country you have gained skills such as leadership, flexibility, and agility, which will help to make you successful here. We are dedicated to supporting military families and ensuring that we provide a welcoming environment for our country’s heroes. We hope you consider joining the Covenant family.

Covenant is committed to the full inclusion of all qualified individuals. As part of this commitment, Covenant will ensure that persons with disabilities are provided reasonable accommodation. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact

Materials Data Specialist

Radiant is seeking a Materials Data Specialist to support the development of our internal materials database. This role focuses on researching, validating, and organizing material property data used by engineering teams across reactor design, thermal systems, and structural analysis.

The ideal candidate has a technical background in materials science, materials engineering, or a related engineering discipline and enjoys working at the intersection of engineering research, data quality, and structured documentation.

You will evaluate the quality of material property sources, organize data into defined schemas, and contribute to documentation that helps engineers confidently use materials data in design and analysis.

Responsibilities

Research Materials Data

• Search scientific literature, databases, and reports to identify relevant material property data.
• Evaluate the quality, reliability, and applicability of material property sources.
• Flag inconsistencies or uncertainty in data sources.

Structure Engineering Data

• Enter material property data into internal databases following defined schemas and standards.
• Maintain consistent formatting and traceability of data sources.
• Ensure data integrity and reproducibility for engineering use.

Document Materials Information

• Write concise descriptions of materials and their properties in supporting reports.
• Summarize relevant test conditions, limitations, and assumptions for engineering teams.
• Maintain clear documentation of data sources and methodologies.

Title : Data QA Engineer

Location: Minneapolis , Dallas , Atlanta (Onsite)

Job Type : Contract

Exp : 8-15 Years

Key Responsibilities:

• Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.
• Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.
• Implement data quality checks and monitoring within Azure-based data platforms.
• Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.
• Integrate data quality validations into CI/CD pipelines and support proactive issue detection.
• Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.
• Define and enforce data quality standards, metrics, and SLAs.

Required Skills & Qualifications:

• Strong experience (8–15 years) in data engineering, data quality, or data automation roles.
• Hands-on expertise with Azure data ecosystem and Databricks.
• Strong programming skills in Python and SQL.
• Experience building automated data validation and reconciliation frameworks.
• Solid understanding of data warehousing, data lakes, and distributed data processing.
• Familiarity with DevOps/CI-CD practices for data platforms.

Preferred Skills:

• Experience with data observability or data quality tools.
• Exposure to cloud-scale analytics and performance optimization.
• Strong communication and stakeholder management skills.

Job ID: 521674

CRH is a leading global diversified building materials group, employing over 75,800 people at more than 3,160 locations in 29 countries. CRH is the leading building materials company in North America and the world. We manufacture and distribute a diverse range of superior building materials, products, and solutions, which are used extensively in construction projects of all sizes.

Job Summary

Ensuring that implemented procurement processes, technology and enablers are consistent with the business objectives. Providing a robust user friendly, efficient and effective 'digital procurement' experience, specifically related to procurement data and analytics. In addition, provide ad-hoc reporting and analysis as needed.

Job Location

This role is based at our corporate office in the Perimeter area of Atlanta, GA – hybrid work schedule

Job Responsibilities

• Advise on the CRH Category tree (internal taxonomy based on e-class structure) and manages the master mapping of the CRH category tree to all local ERPs within Snowflake. Understands the CRH and local taxonomies and has the ability to work with the businesses to handle initial mappings as well as updating when required
• Works with other PPR, divisional procurement and ERP owners to constantly identify areas for data quality improvement. Proactively improves data quality within their control and provides the analysis and specific data to colleagues in areas where action is needed from others (accurate classification of invoices & PO’s)
• Collaborates with the businesses to understand additional data needs and works across the PPR team and with internal IT partners to ensure additional data sources are integrated and necessary analytics and dashboards can be provided from the data
• Analyses data set to provide insights to Procurement community
• Builds Tableau dashboards with existing data sets in Snowflake to support the category teams and divisional teams
• Provides ad-hoc support to category and divisional teams for specific analysis, as required
• Provides ad-hoc analysis & support to Procurement leadership
• Working with IT and approved AI solutions, utilizes AI to enhance value from our data and provide to the Procurement community

Job Requirements

• He or she is educated to a bachelor’s degree level
• 5 or more years’ experience, preferably in international setting
• Willing to cooperate in international projects
• Well-rounded data and analytics professional with sound business acumen.
• A dedicated and engaged team player who strongly collaborates with colleagues and strives for continuous improvement of our processes, data, analytics and systems.
• Action oriented, focused on quality, continuous improvement and internal customer service.
• Expert in Excel & various technologies to manage and transform data structures
• Expert knowledge in Tableau, Snowflake, Alteryx, SQL
• Analytical skills
• Strong communication skills
• Customer focus
• Collaborative

What CRH Offers You

• Highly competitive base pay
• Comprehensive medical, dental and disability benefits programs
• Group retirement savings program
• Health and wellness programs
• An inclusive culture that values opportunity for growth, development, and internal promotion

About CRH

CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.

If you’re up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!

CRH is an Affirmative Action and Equal Opportunity Employer.

EOE/Vet/Disability

CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.