Data Analysis Skills Examples Jobs in Usa
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Location: 100% Remote
Duration: 12+ Months
Overview:
An experienced Administrator to operate and support the enterprise implementation of Microsoft Purview Data Catalog across a complex, multi-platform data environment. The administrator will be responsible for the day-to-day configuration, monitoring, and maintenance of Purview capabilities, ensuring reliable metadata ingestion, catalog quality, lineage visibility, and compliance alignment across governed data domains.
This role focuses on platform operations and governance execution, working within established architecture and enterprise governance standards.
Key Responsibilities
Platform Administration & Operations:
- Administer and operate Microsoft Purview Data Map and Data Catalog environments.
- Monitor platform health, scan execution, metadata ingestion, and lineage availability.
- Troubleshoot and resolve catalog, scan, and connectivity issues.
- Perform routine maintenance, configuration updates, and service optimizations.
- Coordinate incident resolution with internal engineering teams and Microsoft support as required.
Data Source Management & Scanning:
- Register, configure, and maintain data sources across Azure, M365, on?prem, and approved third?party platforms.
- Configure and schedule metadata scans for supported sources.
- Manage authentication for scans using managed identities, service principals, and Key Vault secrets.
- Monitor scan performance, failures, and coverage; take corrective action as needed.
- Optimize scan frequency and scope to balance cost, performance, and governance coverage.
Catalog Configuration & Metadata Management:
- Maintain and enforce enterprise metadata standards within the Purview Catalog.
- Manage business metadata, classifications, glossary terms, and custom attributes.
- Ensure metadata accuracy, completeness, and consistency across data assets.
- Support curation activities including asset certification and publishing.
- Resolve duplicate, incomplete, or stale catalog entries.
Lineage & Discovery Enablement:
- Enable and validate data lineage ingestion from supported data platforms.
- Monitor lineage completeness and visibility for critical data assets.
- Assist data consumers and stewards with lineage?based impact analysis.
- Escalate lineage gaps or tool limitations requiring architectural or engineering remediation.
Security, Access & Governance Controls:
- Configure and manage Purview role?based access control (RBAC) within collections.
- Provision and maintain access for administrators, data curators, and data stewards.
- Enforce domain?based access controls and separation of duties.
- Integrate Purview access with Microsoft Entra ID.
- Support sensitivity labels and classification alignment with Microsoft Information Protection.
Compliance & Risk Support:
- Support automated discovery of sensitive data (PII, PCI, PHI).
- Assist risk, audit, and compliance teams with catalog evidence and reporting.
- Validate scan coverage for regulated data domains.
- Support regulatory and audit initiatives (SOX, GLBA, NYDFS, GDPR, etc.).
User Support & Enablement:
- Provide operational support to data producers, consumers, and data stewards.
- Respond to access requests, catalog issues, and usage questions.
- Maintain operational documentation, runbooks, and standard operating procedures.
- Support onboarding of new data domains following established governance patterns.
- Assist with training and adoption initiatives led by governance or architecture teams.
Required Qualifications:
- 5+ years experience supporting enterprise data platforms or governance tools and 4+ years hands?on MS Purview experience at enterprise scale.
- Hands?on experience administering Microsoft Purview Data Catalog.
- Strong understanding of metadata management, data classification, and lineage concepts.
- Working knowledge of Azure data services and enterprise data ecosystems.
- Experience managing access controls and identities using Microsoft Entra ID.
- Familiarity with regulated data environments and compliance requirements.
- Strong troubleshooting, operational support, and documentation skills.
Preferred Qualifications:
- Experience supporting Purview integrations with Synapse, Fabric, Databricks, Snowflake, or SQL Server.
- Exposure to financial services or other regulated industries.
- Experience with PowerShell, REST APIs, or basic automation for operational tasks.
- Prior experience supporting enterprise data governance or stewardship programs.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.
The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.
What you'll do:
- Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
- Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting.
- Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
- Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
- Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
- Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
- Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
What we're looking for:
- 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
- Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
- Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
- Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
- Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
- Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
- Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
- Experience leading key technical projects.
- Strong Experimentation background.
- Statistical rigor. Experience with causal inference projects.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$114,297—$235,319 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
We’re proud to be where the pets go and where the pet people go. If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurture your wellbeing, Petco is the place for you.
Our core values capture that spirit as we work to improve lives by doing what’s right for pets and people.
- Pet First – Protect & Empower. All pets should Live their Best Life. We put the needs of pets and pet parents at the center of everything we do.
- Foster the Fun – Connect & Bond. Our Passion for pets brings us together! We celebrate the journey of pet parenthood through district experiences, products, and services.
- Let’s Go! Own & Commit. We are stronger as One Petco team. We bring our unique superpowers and champion authenticity in everyone to drive success.
We’re proud to be "where the pets go" to find everything they need to live their best lives for more than 60 years — from their favorite meals and toys, to trusted supplies and expert support from people who get it, because we live it. We believe in the universal truths of pet parenthood — the boundless boops, missing slippers, late night zoomies and everything in between. And we’re here for it. Every tail wag, every vet visit, every step of the way. We are 29,000+ strong and together we nurture the pet-human bond in more than 1,500 Petco stores across the U.S., Mexico and Puerto Rico, 250+ Vetco Total Care hospitals, hundreds of preventive care clinics and eight distribution centers. In 1999, we founded Petco Love. Together, we support thousands of local animal welfare groups nationwide and have helped find homes for approximately 7 million animals through in-store adoption events.
Membership, Customer Data & Loyalty
Position Overview
The Senior Digital Product Manager will lead digital product initiatives supporting Membership, Customer Data, and Loyalty programs for a $6B specialty retail organization. Will own the end-to-end product strategy and roadmap for customer identity, data platforms, and loyalty experiences across digital and in-store channels.
The ideal candidate brings deep expertise in customer data platforms (CDPs), identity resolution, loyalty ecosystems, personalization, and privacy governance, combined with strong business acumen and cross-functional leadership skills.
Key Responsibilities
Product Strategy & Vision
- Define and execute the multi-year product strategy for Membership, Customer Data, and Loyalty platforms.
- Develop and maintain a prioritized product roadmap aligned with enterprise growth, retention, and customer lifetime value (CLV) objectives.
- Identify opportunities to leverage customer data to drive personalization, engagement, and revenue growth.
- Lead development and optimization of customer data capabilities, including:
- Identity resolution and profile unification
- Data governance and compliance (GDPR, CCPA, etc.)
- Segmentation and audience management
- Real-time personalization enablement
- Partner with Engineering and Data teams to evolve CDP, CRM, and marketing technology stacks.
- Ensure scalable architecture to support omnichannel retail environments.
- Own digital product capabilities supporting loyalty enrollment, rewards management, tiering, promotions, and engagement campaigns.
- Optimize customer lifecycle journeys from acquisition through retention.
- Develop features that enhance member value proposition and drive repeat purchase behavior.
- Measure and improve loyalty program ROI, retention rate, and lifetime value.
- Lead agile product teams and collaborate closely with:
- Engineering
- Data Science & Analytics
- Marketing & CRM
- eCommerce
- Store Operations
- Finance & Legal
- Serve as the voice of the customer and translate business objectives into clear product requirements.
- Align stakeholders around KPIs and measurable outcomes.
- Define success metrics and KPIs (CLV, retention, engagement, incremental revenue, NPS).
- Use data and experimentation (A/B testing, cohort analysis) to drive product decisions.
- Build executive-level reporting and business cases for investment prioritization.
- 5+ years of product management experience, with 3+ years in digital product leadership.
- Deep expertise in customer data management, CDPs, CRM systems, and loyalty platforms.
- Experience in retail, specialty retail, consumer brands, or omnichannel environments.
- Proven track record of delivering data-driven personalization initiatives.
- Strong understanding of privacy regulations and data governance frameworks.
- Experience leading agile product teams and influencing cross-functional stakeholders.
- Demonstrated ability to manage complex platform integrations and enterprise-scale systems.
- Experience working in a multi-billion-dollar retail organization.
- Background in subscription or membership-based business models.
- Familiarity with leading CDP and CRM ecosystems (e.g., Salesforce, Adobe, Tealium, etc.).
- MBA or advanced degree in business, technology, or related field.
- Strategic thinker with strong commercial acumen
- Data-driven decision maker
- Influential communicator with executive presence
- Customer-obsessed mindset
- Bias for action and measurable impact
- Ability to operate in fast-paced, matrixed organizations
This role directly influences customer retention, personalization maturity, and revenue growth by shaping how the organization leverages its customer data assets. The Senior Digital Product Manager will play a critical role in strengthening membership value, loyalty engagement, and long-term customer relationships.
#CORP
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
The pay ranges outlined below are presented in accordance with state-specific regulations. These ranges may differ in other areas and could be subject to variation based on regulatory minimum wage requirements. Actual pay rates will depend on factors such as position, location, level of experience, and applicable state or local minimum wage laws. If the regulatory minimum wage exceeds the minimum indicated in the pay range below, the regulatory minimum wage will be the minimum rate applied.
Salary Range: $103,800.00 - $155,700.00
Hourly or Salary Range will be reflected above. For a more detailed overview of Petco Total Rewards, including health and financial benefits, 401K, incentives, and PTO - see Animal Supplies, Inc. 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, disability, age, protected veteran status, or any other protected classification.
To translate this webpage to Spanish or other languages on your internet browser, click the translate button to the right of your browser address bar. Additional instructions can be found here: Google Chrome Help .
Para traducir esta página web al español u otros idiomas en su navegador de Internet, haga clic en el botón de traducción a la derecha de la barra de direcciones de su navegador. Puede encontrar instrucciones adicionales aquí: Google Chrome Ayuda.
Our client, a luxury fashion brand, is seeking a CRM Data Analyst Temp to join their NYC team on a temporary basis.
Responsibilities:
- Transform complex client analyses into clear, concise, and visually engaging PowerPoint presentations, influencing stakeholders through compelling data-driven narratives.
- Use product knowledge of our systems, tools, and the client database to identify and implement innovative approaches to client analysis
- Create insightful reports that enable data-driven decisions for home office partners, and proactively explore and implement automation opportunities to enhance efficiency
- Collaborate with key home office partners (e.g. VIC, Fashion Expertise, Events, Retail Operations, Merchandising teams) to support respective team goals and inform strategies with client data
- Dynamically support boutiques with complex client reporting needs and initiatives
- Spend time with boutique teams to understand their individual needs and collaborate on ways to support Fashion Advisors with client data and client tools
- Liaise with divisional counterparts to unlock synergies and align on key initiatives and priorities
- Demonstrate expert-level knowledge of current client data tools (Salesforce, Looker) to pull with speed, and proactively identify and communicate process improvements to enhance efficiency and effectiveness of reporting and segmentation tools as needed
- Project manage the implementation of database and/or tool enhancements from concept to QA and final delivery in order to meet the evolving needs of business partners and team, collaborating closely with Tech to translate business requirements into actionable technical specifications
Qualifications:
- 7+ years experience in data analytics or strategy/business intelligence role
- Experience with Salesforce
- Experience with Looker Studio
- Prior professional experience collaborating with cross-functional partners to design and launch a new technical platform
- Familiarity with IT functions, including system architect and landscape
- Expertise in Excel and PowerPoint
- Ability to communicate ideas effectively to a range of audiences (written & verbal)
- Luxury retail and/or brand experience preferred
Please submit your resume for consideration.
You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.
“Let goodness, fairness, and most importantly, love prevails in business; profits will inevitably follow.” – NK Chaudhary, founder
What we do for our team members:
- Comprehensive Benefits: Company Paid Holidays, PTO, Parental Involvement Leave, Maternity/Paternity Leave, EAP, No Cost Employee Medical Plan, Vision, Dental, and Company Paid Life Insurance. We also include a match on retirement (401K/Roth).
- Career Development: We're committed to providing growth for career development within the company, supporting our team members' aspirations with a well-defined succession plan that includes a variety of training and development opportunities.
- Pet-Friendly Workplace: We welcome your furry friends! Our 'Bring Your Dogs to Work' policy creates a pet-friendly atmosphere, allowing our team members to enjoy the companionship of their dogs during the workday.
- Wellness Support: Not only do we support an active lifestyle with our on-site basketball court and yoga studio, but we host quarterly mental health events to assist in creating a well-rounded work-life harmony for our team members.
- Sustainability Efforts: Reuse, Renew, and Refresh by joining our Green Team! Responsible for harvesting from the organic community garden, donating goods to local pet shelters and schools, creating educational workshops, leading nature walks, and much more, they promote well-being through sustainable practices.
Our Values
Empowerment • Inclusiveness • Responsibility • Progressive
Learn more about our company story here: Jaipur Rugs Foundation
Since 2004, the Jaipur Rugs Foundation has worked to improve the lives of rug-weaving artisans in India. This is done through training, skills development, and social interventions. By focusing on the ideas and solutions that create social value, the Foundation supports the dignity and heritage of these traditional artisans, believing that healthy and sustainable communities are key to the survival of traditional rug weaving. Jaipur Living has made ethical and socially conscious global citizenship the foundation of its business. Through social initiatives and the Jaipur Rugs Foundation, the company supports a supplier ecosystem without a middleman of more than 40,000 artisans in 700 villages across India by providing them with a livable wage, access to health care, leadership education, and opportunities for personal growth and development. Combining time-honored techniques and of-the-moment trends, every Jaipur Living product is as ethically and responsibly made as it is beautiful.
Learn more about the Jaipur Rugs Foundation here: are a fast-growing, design-led B2B home décor and textiles brand with big ambitions. Over the last 12 months, we have revolutionized our technical foundation, investing in Microsoft Dynamics 365 (F&O) and a Microsoft Fabric ecosystem. We are now looking for a seasoned leader to refine our existing infrastructure, optimize our end-to-end data workflows, and bridge the gap between "raw data" and "reliable business intelligence."
This role demands a strong balance of technical depth and operational management. While you must possess expert-level proficiency in data engineering, specifically within the Microsoft Fabric ecosystem and modern data platforms, we also need a leader who is experienced in analytics, data visualization, BI, and translating business needs into analytical solutions. You will be responsible for defining and executing an outcome-based Data & Analytics strategy, building and developing a global team of data engineers, BI developers, and data analysts, and ensuring the company has trusted, scalable, and decision-ready data at every level of the organization. The ideal candidate is a Fabric-certified or Fabric-trained leader, an exceptional communicator, and a proven people manager who can balance hands-on technical depth with strategic leadership.
Key Responsibilities:
Strategic Management & Outcome-Based Delivery
- Tactical Roadmap: Develop and execute a multi-year roadmap that aligns data engineering, BI, and advanced insights with business priorities (e.g., inventory efficiency, margin protection, and growth).
- Process Standardization: Define what “good” looks like for data reliability, documentation, insight quality, and business impact
- Baseline Maturity: Shift the organization from ad-hoc reporting to repeatable, trusted, decision-ready data products
- Advance Automation: Assess the current-state landscape and define a clear path from foundational reporting to automated, predictive analytics.
- Executive Communication: Serve as the single point of accountability for all data and analytics capabilities, translating technical progress into business-relevant implications across the organization
Infrastructure Optimization & Fabric Engineering
- Systemic Optimization: Lead the audit and refinement of the existing Fabric environment (Lakehouse, Pipelines, Notebooks) to improve overall performance, stability, and refresh reliability
- Engineering Standards: Set the "gold standard" for architecture, data modeling, testing, and deployment (CI/CD), ensuring the stack is hardened for enterprise-scale growth
- Reduce Manual Effort: Minimize operational risk by standardizing pipelines, refresh processes, and metric calculations
- Automation & Reliability: Systematically identify and eliminate manual reporting and spreadsheet-based workflows through robust automation in PySpark and Fabric
- Proactive Governance: Establish monitoring, alerting, and exception-handling processes to manage data quality and refresh failures before they impact the business
Analytics & Decision Enablement
- High-Quality BI Delivery: Oversee the design and delivery of visually appealing Power BI dashboards that simplify complexity and adhere to our design-led brand standards
- Metric Governance: Ensure KPI definitions and reporting logic are consistent across the company, acting as the arbiter of "the truth" for business metrics
- Advanced Analytics: Identify and operationalize high-value use cases for predictive analytics (e.g., demand forecasting, product lifecycle analysis) as platform maturity increases
- Business Translation: Partner with business leaders to translate business requirements into scalable, intuitive, impactful analytics solutions
- Business Evolution: Lead the transition from descriptive and diagnostic reporting to forward-looking insights that support planning and decision-making
Global Team Leadership & Talent Development
- People Leadership: Directly lead and develop a 3–5 person global team (primarily based in India), establishing clear roles, accountability, and a high-performance culture
- Skill Development: Create career paths and skill-development plans for engineers and analysts to ensure consistent, high-quality delivery
- Operating Model: Build a scalable offshore capability that delivers at speed while maintaining rigorous standards for code quality and documentation
Skills & Minimum Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions.
- 10+ years of experience in data engineering, analytics, or BI, with director-level scope or equivalent ownership
- Deep hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks, semantic models)
- Fabric certification or formal Fabric training strongly preferred
- Strong experience with PySpark and Spark-based transformations
- Strong understanding of Azure data services and modern data architectures
- Exceptional dashboard-development skills using Power BI; portfolio-quality experience preferred
- Strong understanding of data storytelling, executive-ready visualization, and intuitive UI/UX design
- Experience gathering business requirements and translating them into analytical products
- Proven experience leading and developing global / offshore teams
- Strong communicator with the ability to influence at senior levels
- Experience supporting ERP-driven environments; Dynamics 365 preferred
- Ability to juggle strategy, execution, and stakeholder communication simultaneously
Success Measures (First 12–18 Months)
- Strategy Execution: An outcome-based Data & Analytics strategy that is fully operational and tied to business outcomes
- Optimized Infrastructure: A trusted, scalable Fabric platform with significantly reduced manual reporting and 99%+ data availability
- Dashboard Adoption: A suite of high-quality dashboards used daily and weekly by business leaders to drive decision-making
- Team Growth: A high-performing global team with a track record of delivering complex analytics products with speed and precision
Physical Requirements:
- Remaining in a seated position for long periods of time
- Standing is to remain on one’s feet in an upright position without moving about
- The ability to alternate between sitting and standing is present when a worker has the flexibility to choose between sitting or standing as needed when this need cannot be accommodated by schedules breaks and/or lunch period
- Lifting and transporting items that could weight up to 25 pounds
- Entering text or data into a computer by means of a traditional keyboard
- Expressing or exchanging ideas by means of the spoken work to impart oral information to clients and talent and convey detailed spoken instructions to other workers accurately and quickly
- The ability to hear, understand, and distinguish speech and/or other sounds such as in person and telephone
- Clarity of vision to see computer screens and workspace
As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.
In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.
Your Primary Responsibilities may include:
• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.
• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.
• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.
• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.
• Influence and contribute to strategic improvements to data assessment processes and analytical tools.
• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.
• Subject matter expertise on multiple platforms.
• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.
Qualifications include:
• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.
• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.
• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.
• 5+ years of Data Quality Management experience.
• Strong familiarity with data architecture and/or data modeling concepts
• 5+ years of experience with Agile or SAFe project methodologies
• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.
• Preferred: Experience in Travel Industry.
• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology
Leadership Skills may include:
• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.
• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.
• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.
• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.
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.
About the Job
Ecorobotix Inc. creates innovative robotic solutions that reduce the negative ecological impact of modern agriculture. We have developed an AI-based ultra-high precision spot spraying technology that drastically reduces the amount of chemicals used in crop fields while keeping costs competitive. The technology is currently deployed on our tractor-towed ARA machine. By joining our talented and dynamic team, you will contribute to a more sustainable, environment-friendly agriculture in an innovative scale-up at the cutting edge of technology. We are a revolutionary organization with a great work environment that supports creativity through self-motivation.
General Objective of the Role
Support the development of Ecorobotix’s turf-care system through collection of high-quality turf imagery and environmental data to support AI model training and validation. The Regional Turf Data Technician is responsible for building and maintaining relationships with golf courses, sod farms, sports fields to assess whether their facilities have the type of data that we need to photograph and obtain any permits needed to collect those photographs. The Regional Turf Data Technician will need to produce high quality and variety of images of desired turfgrass species and document pests based on business needs. This individual will work outdoors to ensure regular monitoring of turfgrass and associated pests within their geographical area.
Reporting Lines & Interactions
Reports Turf Data Team Manager, Turf Division. This role will collaborate with the AI and Crop Vision team as well as Turf Data Quality teams to ensure they are achieving data quantity and quality goals. The Regional Turf Data Technician will also collaborate with other members of the pre- and after-sales teams of Ecorobotix Inc. as required to scout for data collection locations. Externally, interaction with dealers, superintendents, turf farm managers, and athletic facility managers on turf facilities or at regional association meetings and trade shows is required.
Key Responsibilities
- Become data project specialist for your assigned region
- Collect turfgrass imagery according to defined protocols
- Operate and maintain camera and field data systems
- Work with sales team to collect data at turf facilities in assigned region
- Assist with analysis of future turfgrass model data collection and methods to improve data collection work flow
- Up to 70% required travel within given territory with occasional travel outside of territory based on business needs.
Qualifications
- 2+ years of experience in managing turfgrass field research data collection.
- Familiarity with turf management, turf weeds or agricultural imaging.
- Bachelor’s degree in turfgrass science, agronomy or horticulture
- Two or more years of experience in turfgrass management (e.g. golf course, lawn care, sports field, sod farm management)
- Have a strong knowledge or interest in turfgrass management and pest management
- Knowledge of IT tools (tablets with internal software, smartphones) to manage communications and necessary data.
- 2+ years of experience interacting with turfgrass managers
- Must have a clean driving record
Experience/Skills
- Technical proficiency with sensors and data tools.
- Ability to travel up to 70% and work outdoors in varying conditions in their region.
- Excellent organization and communication skills.
- Knowledge of turfgrass management techniques (knowledge of weeds, diseases, weed control methods, machinery and work on turfgrass managers in general)
- High degree of independence, reliability and initiative.
- Strong team spirit with a desire to work in a fast-paced environment.
- Analytical and structured approach to work with the ability to adapt quickly to changes
- Dedicated person with systematic, goal-oriented working methods
- Ability to manage multiple projects simultaneously and meet deadlines.
- Excellent written and verbal presentation skills with clear and consistent communication.
- Proficiency in Microsoft Excel, PowerPoint and Word
- Interest in precision turfgrass management and innovation in the golf and turf industry.
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.
