Data Analytics Skills Examples Jobs in Usa

About the Company

Serving customers since 2004, Eagle offers the highest quality in preparation testing for sterility, bacterial endotoxins, microbial detection, beyond-use dating (BUD) determination and active ingredient potency. State-of-the-art equipment, combined with the experience and knowledge of our team, makes Eagle the best choice for all testing needs. The Eagle team is committed not only to performing the best quality control testing, but also working relentlessly with our customers on solutions if tests receive unexpected results. Learn more at the Role

The Analytical Chemist II performs advanced chemical analyses in a high-volume laboratory environment, with primary focus on HPLC, assay, potency, and impurity testing. This role leads the execution of complex testing, provides technical guidance to junior staff, and ensures regulatory compliance and data integrity. The position supports process improvements, method validation, and training initiatives.

Responsibilities

• Perform routine and moderately complex chemical analyses, including HPLC, assay, potency, and impurity testing.
• Lead sample tracking, test execution, and result reporting, ensuring accuracy, completeness, and compliance.
• Independently identify, troubleshoot, and resolve unexpected test results or equipment issues.
• Conduct instrument maintenance, calibration, and advanced troubleshooting with minimal supervision.
• Review laboratory SOPs and contribute to their revision or creation; provide guidance to junior staff on SOP compliance.
• Ensure compliance with cGMP, cGLP, ISO 17025, USP, A2LA, and company SOPs.
• Participate in continuous improvement initiatives, method optimization, and high-volume workflow management.
• Train and mentor Analytical Chemist I and entry-level staff.
• Support internal audits, safety inspections, and client audits as needed.
• Assist with special projects, technical evaluations, and cross-functional laboratory initiatives.
• Communicate findings, trends, and recommendations effectively to laboratory and quality leadership.

Qualifications

• Bachelor’s degree in Chemistry, Biochemistry, or a related field; Master’s degree preferred.
• 3–5 years of experience in a regulated analytical laboratory (cGMP, cGLP, ISO 17025, USP, A2LA).

Required Skills

• Experience with sample preparative chemistry and wet chemistry analysis.
• Certified Pharmacy Technician (CPhT) a plus.
• Advanced proficiency with HPLC, UV-Vis, and other analytical instrumentation.
• Strong understanding of instrumental analysis procedures used in modern chemistry laboratories.
• Knowledge of sampling methods and quality control systems.
• Proven ability to troubleshoot analytical methods and instrumentation independently.
• Experience reviewing laboratory data, quality documentation, and regulatory compliance records.
• Ability to lead, mentor, and train junior staff while supporting workflow optimization.
• Excellent attention to detail and organizational skills, with a strong focus on data integrity.
• Proficient in Microsoft Office and laboratory data management systems.
• Strong verbal and written communication skills, with the ability to collaborate effectively across teams.

Preferred Skills

• Wet Chemistry
• Time Management
• Deductive Reasoning
• Critical Thinking
• Analytical Instrumentation

We’re hiring a Data Insights Analyst to join a growing analytics team focused on turning large, complex datasets into clear, actionable insights that drive business decisions. This is a hands-on role for someone who enjoys digging into data, working with Python and SQL, and partnering with leaders to understand what’s really happening in the business. You’ll work across multiple functions and contribute directly to high-impact initiatives around forecasting, performance analysis, and strategic decision-making.

Keys to an Interview: Data Insights Analyst | CPG Manufacturing

• 2-5 years' Data Science and/or Business Analyst experience
• Master's Degree preferred
• Strong working experience with Python for data analysis (and exposure to machine learning is a major plus)
• Advanced SQL skills with the ability to pull and manipulate data from large data warehouses
• Ability to interpret existing dashboards and datasets and identify meaningful insights
• Clear communication skills and comfort explaining technical findings to non-technical stakeholders
• Comfortable working on-site, with flexibility

Key Responsibilities: Data Insights Analyst | CPG Manufacturing

• Analyze large, complex datasets to identify trends, opportunities, and risks across the business
• Leverage Python, SQL, Excel, and Power BI to deliver actionable insights and recommendations
• Build and enhance analytical models to support forecasting, budgeting, and strategic planning
• Develop, maintain, and improve dashboards and reporting used by leadership
• Clean, transform, and validate data to ensure accuracy and consistency
• Partner cross-functionally to understand business questions and translate them into data-driven solutions
• Present findings clearly and concisely to senior stakeholders
• Support automation and process improvements to increase analytical efficiency
• Contribute to high-visibility initiatives that influence growth and long-term strategy

Head of GIA Investment Performance Measurement and Analytics

Investment Management

Full-Time

New York, NY, Boston, MA or Springfield, MA

The Opportunity

MassMutual Investment Management (IM) seeks a seasoned investment management and operations professional to lead the investment performance function for MassMutual’s General Investment Account (GIA). This role reports to the Head of Manager Oversight and will:

• Design, and oversee implementation of models, policies, and procedures for a best-in-class performance and attribution reporting function.
• Help drive strategy and execution of investment performance measurement, attribution, and reporting programs supporting MassMutual’s Board, CIO, and other key stakeholders.
• Help shape market commentary and attribution narratives for internal and external stakeholders, including affiliate managers and GPs.
• Complete the feedback loop for MassMutual Investment Management in the performance space by collaborating with teams supporting product profitability analysis and PMs managing ALM and capital allocation decisions.

The Team

The Manager Oversight team is part of IM’s Strategy and Governance organization, reporting to MassMutual’s CIO. The team oversees IM’s asset manager relationships and functions, including manager operational due diligence, investment mandate onboarding & lifecycle management, and investment performance. Adjacent teams handle business strategy and planning, vendor oversight, investment compliance, and investment reporting for MassMutual’s Board & Investment Committee.

The Impact and Key Responsibilities:

Lead MassMutual’s investment performance measurement, attribution, and reporting function for a $250B+ General Investment Account (GIA). In this role you will be on the starting line to help influence, design and implement a state-of-the-art performance measurement and attribution capability. This senior leadership role requires strategic planning, influence, executive visibility, and the opportunity to transform performance analytics and attribution capabilities for a prestigious insurance company.

• Evolve existing practices and refresh methodologies, assumptions, and models to introduce new and industry best practice approaches for presenting performance across products, asset classes, and instruments.
• Lead strategic platform rationalization and evaluate performance engines to enhance analytics.
• Provide technical expertise in portfolio management, finance, capital markets, and investment performance reporting, guiding decisions to align with market standards.
• Contribute to portfolio reporting and attribution by applying experience across asset classes and investment strategies, ensuring liability-driven investment strategies and ALM models are accurately derived and validated.
• Collaborate directly with portfolio managers and lead teams to achieve strategic alignment across functions, simplifying complex income and return objectives under liability constraints while maintaining precision and accuracy in reporting.
• Manage the evolution of the program to maximize total-portfolio view and coverage for GIA reporting, expanding capabilities important to investment team members.
• Help develop a long-term roadmap to unlock value and greater ROI for the Performance program, including performance monitoring as a compensating control for financial reporting.
• Help drive the development of reporting standards for leadership and Board materials, framing investment successes, market impacts, and risk-adjusted performance drivers.
• Help with the design of data integration between IBOR/ABOR systems and performance engines to optimize data validation, reporting efficiency, and portfolio transparency.
• Lead strategic initiatives to align performance reporting with insurance industry practices, NAIC classifications, and risk-based capital requirements, ensuring compliance and strategic flexibility.
• Serve as a trusted advisor to the CIO and Senior Leadership Team, influencing investment strategy communication and Board-level reporting.

The Minimum Qualifications

• Bachelor’s degree in STEM, Finance-Accounting, Actuarial Science, or related field.
• 10+ years in investment management with progressive experience focusing on performance measurement, attribution, and reporting.
• 5+ years in leading teams and/or investment strategy and decision-making for an asset owner, allocator or investment advisor, in a role focused on: investment performance, attribution and analysis; portfolio management; product management or research; portfolio strategy or securities research [investment selection].
• Experience with liability-driven investment strategies, including ALM frameworks, duration matching, and immunization techniques.
• Experience designing, building, and calibrating investment return, valuation, or risk models for capital allocation in multi-asset portfolios.
• Advanced Excel and quantitative modeling; familiarity with GIPS® standards and compliance; strong understanding of risk-adjusted return metrics (TWR, IRR, Brinson attribution, factor attribution).
• Ability to integrate cash flow projections and liability schedules into performance analytics; can source index and reported market yields or returns as benchmarks, model, select “best-fit,” and defend rationale in Q&A with investment professionals.
• Deep knowledge of fixed income, structured credit, private credit, and alternative investments; understanding of insurance asset management and regulatory frameworks; working knowledge of NAIC and statutory accounting preferred.
• Expertise in designing attribution models that incorporate liability benchmarks; ability to optimize portfolios for duration and convexity matching; strong leadership and stakeholder engagement across investment, actuarial, and risk teams.
• Proven ability to establish and maintain strong relationships with peers and key partners throughout the organization and in their external, professional networks.

Familiar with full spectrum of geographic and credit risk demographics: IG, HY, and Distressed; NA, EMEA, APAC; Developed or Emerging Markets.

Technical Skills Covering:

• Multi-Asset (total portfolio) Total-Return Presentation and Public Market Benchmark Selection
• Relative-Spread, Relative-Yield, and Relative-Market/Index Return Comps (Alts-Benchmarks)
• Bond-Factor Analytics (and to a lesser extent, Equity-Factors)
• Duration-Adjusted Return Modeling
• Portfolio Hedge Attribution: Global Asset-Country and FX Risk; Key-Rate Risk: Default Risk

The Ideal Qualifications

• Master’s degree in STEM, Finance, Quantitative Analytics, or MBA; CPA or actuarial credentials for ALM depth a plus.
• CFA, CIPM or equivalent designation strongly preferred; CAIA or FRM a plus.
• Deep familiarity with Global Investment Performance Standards (GIPS®); experience managing GIPS verification and composite construction for liability-driven portfolios.
• Proven ability to implement automation for performance and ALM reporting; experience with data governance and integration of liability projections into performance dashboards.
• Experience configuring, and testing platforms integrated across the investment ecosystem, such as Performance Engines (SS&C Advent Geneva/APX, Eagle Performance, Clearwater Analytics), Portfolio Management and IBOR Platforms (BlackRock Aladdin, SimCorp Dimension, Charles River IMS), ALM & LDI Tools (Bloomberg PORT, proprietary actuarial systems, Beacon), and Instrument Cashflow and CP-Credit Risk Modeling Services (Intex, Moody’s, S&P).
• Experience implementing BlackRock PBOR

Experience with majority of investments or instruments in: Gov & Corporate Debt, Bank Loans, PE Sponsor and Non-Sponsored Mid-Market Loans and Private Credit, Commercial & Residential Real Estate Debt, Consumer/Retail and Real Estate ABS, Structured ABF, Structured Credit, CLOs/CDOs, Municipal Bonds, Private LP’s, Direct-PE.

Technical Skills Covering:

• Private Equity & Equity-Pacing Models
• Cash-Weighted Returns (IRR and realized-CF holding-period yield)
• Capital-Multipliers (for closed & evergreen portfolios/private-alts strategies)

#LI-LC1

OZ – Databricks Architect/ Senior Data Engineer

Note: Only applications from U.S. citizens or lawful permanent residents (Green Card Holders) will be considered.

We believe work should be innately rewarding and a team-building venture. Working with our teammates and clients should be an enjoyable journey where we can learn, grow as professionals, and achieve amazing results. Our core values revolve around this philosophy. We are relentlessly committed to helping our clients achieve their business goals, leapfrog the competition, and become leaders in their industry. What drives us forward is the culture of creativity combined with a disciplined approach, passion for learning & innovation, and a ‘can-do’ attitude!

What We're Looking For:

We are seeking a highly experienced Databricks professional with deep expertise in data engineering, distributed computing, and cloud-based data platforms. The ideal candidate is both an architect and a hands-on engineer who can design scalable data solutions while actively contributing to development, optimization, and deployment.

This role requires strong technical leadership, a deep understanding of modern data architectures, and the ability to implement best practices in DataOps, performance optimization, and data governance.

Experience with modern AI/GenAI-enabled data platforms and real-time data processing environments is highly desirable.

Position Overview:

The Databricks Senior Data Engineer will play a critical role in designing, implementing, and optimizing enterprise-scale data platforms using the Databricks Lakehouse architecture. This role combines architecture leadership with hands-on engineering, focusing on building scalable, secure, and high-performance data pipelines and platforms. The ideal candidate will establish coding standards, define data architecture frameworks such as the Medallion Architecture, and guide the end-to-end development lifecycle of modern data solutions.

This individual will collaborate with cross-functional stakeholders, including data engineers, BI developers, analysts, and business leaders, to deliver robust data platforms that enable advanced analytics, reporting, and AI-driven decision-making.

Key Responsibilities:

• Architecture & Design: Architect and design scalable, reliable data platforms and complex ETL/ELT and streaming workflows for the Databricks Lakehouse Platform (Delta Lake, Spark).
• Hands-On Development: Write, test, and optimize code in Python, PySpark, and SQL for data ingestion, transformation, and processing.
• DataOps & Automation: Implement CI/CD, monitoring, and automation (e.g., with Azure DevOps, DBX) for data pipelines.
• Stakeholder Collaboration: Work with BI developers, analysts, and business users to define requirements and deliver data-driven solutions.
• Performance Optimization: Tune delta tables, Spark jobs, and SQL queries for maximum efficiency and scalability.
• GenAI Applications Development: It is a big plus to have experience in GenAI application development

Requirements:

• 8+ years of experience in data engineering, with strong hands-on expertise in Databricks and Apache Spark.
• Proven experience designing and implementing scalable ETL/ELT pipelines in cloud environments.
• Strong programming skills in Python and SQL; experience with PySpark required.
• Hands-on experience with Databricks Lakehouse, Delta Lake, and distributed data processing.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP (Azure preferred).
• Experience with CI/CD pipelines, Git, and DevOps practices for data engineering.
• Strong understanding of data architecture, data modeling, and performance optimization.
• Experience working with cross-functional teams to deliver enterprise data solutions.
• Tackles complex data challenges, ensuring data quality and reliable delivery.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience designing enterprise-scale data platforms and modern data architectures.
• Experience with data integration tools such as Azure Data Factory or similar platforms.
• Familiarity with cloud data warehouses such as Databricks, Snowflake, or Azure Fabric.
• Experience supporting analytics, reporting, or AI/ML workloads is highly desirable.
• Databricks, Azure, or cloud certifications are preferred.
• Strong problem-solving, communication, and technical leadership skills.

Technical Proficiency in:

• Databricks, Apache Spark, PySpark, Delta Lake
• Python, SQL, Scala (preferred)
• Cloud platforms: Azure (preferred), AWS, or GCP
• Azure Data Factory, Kafka, and modern data integration tools
• Data warehousing: Databricks, Snowflake, or Azure Fabric
• DevOps tools: Git, Azure DevOps, CI/CD pipelines
• Data architecture, ETL/ELT design, and performance optimization

What You’re Looking For:

Join a fast-growing organization that thrives on innovation and collaboration. You’ll work alongside talented, motivated colleagues in a global environment, helping clients solve their most critical business challenges. At OZ, your contributions matter – you’ll have the chance to be a key player in our growth and success. If you’re driven, bold, and eager to push boundaries, we invite you to join a company where you can truly make a difference.

About Us:

OZ is a 28-year-old global technology consulting, services, and solutions leader specializing in creating business-focused solutions for our clients by leveraging disruptive digital technologies and innovation.

OZ is committed to creating a continuum between work and life by allowing people to work remotely. We offer competitive compensation and a comprehensive benefits package. You’ll enjoy our work style within an incredible culture. We’ll give you the tools you need to succeed so you can grow and develop with us and become part of a team that lives by its core values.

The QUIKRETE® Companies, a leading producer of packaged products, is seeking a full-time/on-site (Mooresville, NC) data driven National Account Manager to support our dynamic Sales Team.

The position brings the best of both worlds: hands-on sales experience and strong analytical capabilities. While this role sits primarily on the analytics and reporting side of the business—focused on creating dashboards, running performance reports, and uncovering actionable insights—your background in sales will be key to understanding the commercial context behind the numbers.

This position blends data-driven insights with customer-focused execution—perfect for someone who thrives in a fast-paced, collaborative environment and knows how to turn insights into action, a master in excel, strong organizational skills, excellent communication abilities, keen eye for detail and customer service orientation

Key Responsibilities:

• Analytics and Reporting: Maintain awareness of performance against Key Performance Indicators and provide sales performance updates to leadership. Analyze sales data weekly to identify problematic areas or growth opportunities within retailer accounts.
• Customer Engagement and Merchandising: Engage with the customer to resolve any issues promptly. Work in partnership with the .com brand advocate to align digital and retail sales efforts. Plan and conduct training sessions for the customer and their clients to support product knowledge and sales effectiveness.
• Sales Team Support: Track and communicate ongoing projects and initiatives involving retailers to account managers, executives, and field teams, both internally and externally. Provide support for the implementation of new programs and initiatives. Create and deliver compelling presentations using PowerPoint to support sales initiatives.
• Brand Champion: Represent the organization at trade shows, store manager meetings, and customer-hosted charitable events.

Qualifications:

• Bachelor's degree required.
• Minimum 5 years of significant experience in similar roles.
• Significant experience as support in a retail or big box environment is highly desirable and/or in building materials industry or similar
• Excellent communication skills, capable of interacting with different organizational levels internally and externally.
• Proficient in Microsoft Office applications with advanced expertise in Excel and PowerPoint.
• Strong analytical and problem-solving abilities including data extraction and sales trend analysis.
• Ability to manage multiple projects and tasks with attention to detail and commitment to excellence.

About us:

Founded in 1940 in Columbus, Ohio, The QUIKRETE® Companies is the largest manufacturer of packaged concrete and cement mixes in North America, and an innovative leader in the building and home improvement industries. In addition, QUIKRETE® offers related products through numerous wholly-owned subsidiaries and operates around 250 facilities in the U.S. alone, allowing for unsurpassed distribution and product depth. Technical centers across the QUIKRETE® network also ensure that professionals and DIY consumers alike are provided with the most innovative and highest quality products available on the market.

• As a family-owned company with 81 years in business, we offer stability.
• We're investing in new businesses and technologies to ensure sustainable growth for years to come.

We offer competitive compensation, Medical, Dental, Vision, HSA, FSA, Supplemental Life and Basic life Insurance, employees discounts, great work environment and an amazing team!

Physical Requirements:

• Prolonged periods sitting at a desk and working on a computer.
• Must be able to lift up between 15-80 pounds at a time.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

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.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

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.

Our Commitment to Inclusion:

Company Description

Worldwide Window Fashions is an independently owned company specializing in the fabrication and distribution of custom hard-line window covering products. The company focuses on providing high-quality custom cellular and roller shades to meet unique customer needs. Committed to excellence, Worldwide Window Fashions has built a reputation for providing innovative and durable solutions in the window covering industry.

What You’ll Do

Analyze sales data to identify trends, opportunities, and performance gaps

Support the sales team with insights to improve revenue and customer performance

Analyze operational and supply chain data to identify efficiency improvements

Build dashboards and reports to support management decision-making

Present findings and recommendations to cross-functional teams

Assist in ad hoc business analysis projects

You won’t just “run reports” — you’ll help influence real business decisions.

What We’re Looking For

Currently pursuing or recently completed a Bachelor’s or Master’s degree

Preferred majors:

Data Science

Business Analytics

Statistics

Economics

Finance

Business-related fields

Experience with business analytics projects (academic or professional) preferred

Strong analytical and problem-solving skills

Detail-oriented and highly organized

Self-driven and able to work independently

Fast learner with strong curiosity

Proficiency in Excel required; knowledge of SQL, Python, Power BI, or Tableau is a plus

What You’ll Gain

Hands-on experience solving real business problems

Exposure to sales, operations, and supply chain analytics

Direct interaction with leadership

Opportunity to convert to a full-time position based on performance

H1B sponsorship available for qualified candidates

Job Description Summary

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines and solutions within the Microsoft Azure ecosystem. You will be responsible for developing and optimizing ETL/ELT processes, ensuring data quality, and enabling efficient data access for analytics and business intelligence. We are looking for a hands-on engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies

Key Responsibilities:

Design, develop, and maintain cloud-based data pipelines and ETL/ELT workflows.

Build and optimize data architectures to support structured and unstructured data processing.

Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.

Implement data quality, security, and governance best practices.

Monitor and troubleshoot data workflows to ensure high availability and performance.

Optimize database and data storage solutions for performance and cost efficiency.

Contribute to cloud adoption, migration, and modernization initiatives.

Mandatory Skills:

Strong expertise with Azure cloud platform.

Strong experience in Databricks

Azure Data Factory proficiency required; building datasets, data flows, and pipelines in ADF (not just maintaining something already built)

Hands-on experience with ETL/ELT tools and frameworks.

Proficiency in SQL, Python, and data modeling.

Knowledge of CI/CD pipelines and infrastructure-as-code tools.

Understanding of data governance, security, and compliance.

Preferred Skills:

Exposure to API integration and microservices architecture.

Strong analytical and problem-solving skills.

Azure cloud certifications and/or past experience

AKS (Azure Kubernetes Service) experience, and ETL related to applications containerized & deployed on AKS (or EKS)

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• 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:
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  • Data governance and compliance (GDPR, CCPA, etc.)
  • Segmentation and audience management
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• 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.
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• Lead agile product teams and collaborate closely with:
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  • Marketing & CRM
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• 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.
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• 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.).
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• 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