Data Analytics Skills Examples Jobs in Usa

Open date: June 10, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Nov 25, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About CDSS:

Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.

CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today's datafied world, interact with data ethically, and masterfully engage as informed leaders.

CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities:

CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice.

Teaching a CDSS course may include holding office hours, assigning grades, advising students, preparing course materials (e.g.,slides, syllabus, homework assignments), providing clear and prompt feedback on student work, and maintaining the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

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 Title: Adobe Analytics Specialist

Position Type: Contract-to-Hire, 12 Month W2 Contract with possibility of switching to full time after this period, or Full Time from the start will be considered for the right candidate.

Location: 4 Days on site per week in Milwaukee, Wisconsin and 1 day from home

Salary: $120-$140k DOE

*US Citizen or Green Card holder only*

Our client, a Machinery Manufacturing company, is seeking a skilled Adobe Analytics Specialist to join their growing team. You will be responsible for the leadership and technical direction across the enterprise Adobe Analytics, Adobe Experience Platform and Adobe Target ecosystem.

Job Description:

• Adobe Analytics implementation & Dashboard creation and reporting
• Define enterprise measurement standards across digital properties
• Guide AEP schema structure and dataset governance
• Validate identity resolution and profile stitching
• Lead experimentation configuration in Target
• Develop executive and operational dashboards
• Tagging and data layer standards validation
• Oversee ingestion validation and dataset stability

Qualifications:

• Bachelor’s degree in Analytics, Information Systems, Computer Science, Marketing ,or related field
• 5+ Years enterprise analytics or digital measurement experience
• Hands-on Adobe Analytics expertise, with AEP and Target highly desirable
• Experience guiding measurement architecture at scale
• Advanced dashboard development
• Strong data layer and event architecture knowledge
• Structured QA and governance discipline

About Hirobe Limited:

Expert recruitment, powered by a deep understanding of the Adobe Experience Cloud. Since 2018, we've been connecting the best Adobe professionals with leading organizations, giving us a unique insight into both the technology and the talent. What truly sets us apart is our specialized market knowledge, tailored service, and unwavering commitment to finding the ideal fit for everyone involved.

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)

Job Description

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Data Engineer Level 2

Location: Blue Ash, OH 45241

Duration: 6 months (Contractor)

Pay Rate: $55–$75/hr (W2)

Interview Process: In-person interviews required at Blue Ash, OH location.

Overview

Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset—collaborating on CI/CD, governance, and optimization for reliable, secure analytics.

Key Responsibilities

• Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.
• Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).
• Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Databricks SQL.
• Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.
• Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.
• Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.
• Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.

Requirements

• 5+ years as Data Engineer.
• Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.
• Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.
• Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).
• Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.
• Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).
• SDLC familiarity; ability to manage priorities independently.

know more about current opportunities at LeadStack , please visit us on Should you have any questions, feel free to call me on (513) 3184502 or send an email on

Collectiv is seeking a dynamic, results-driven Business Development Executive with a growth mindset and a hunter mentality to drive new business in a complex consulting environment. This role requires a proven track record in selling Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI-driven technologies.

Are you passionate about leveraging Data & AI to drive business transformation? At Collectiv, we empower organizations to unlock the full potential of Microsoft's Data & AI ecosystem. As part of our team, you'll build strong client relationships, drive strategic growth, and sell impactful solutions that shape the future of data-driven decision-making.

• Experience selling Microsoft Data & AI consulting services is required.
• Proven success in selling consulting engagements related to Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI/ML solutions is required.
• Proven track record as a proactive business developer, excelling in identifying and closing net-new opportunities in a competitive market is required.
• Ability to act as a trusted advisor, addressing complex business challenges with data strategy, analytics, and AI-driven solutions.
• Experience selling at the C-suite level, driving strategic business transformation.
• Growth mindset, with a focus on overcoming obstacles, executing high impact initiatives, and delivering tangible business outcomes.

• You are a proactive dealmaker who excels at identifying and closing high-value opportunities in the Data & AI space.
• You are a self-motivated, strategic thinker who thrives in complex sales cycles and consultative engagements.
• You bring energy, collaboration, and perseverance, navigating challenges to drive successful outcomes.
• You have exceptional interpersonal skills, building trusted relationships with clients, partners, and internal teams.
• You anticipate challenges and address objections with a solutions-oriented, consultative approach.
• You are a persuasive communicator and influencer, effectively aligning technology solutions with business needs.

• Specialize in Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, and AI-driven technologies.
• Identify, develop, and close high-impact data transformation opportunities, managing the entire sales lifecycle.
• Drive revenue growth by cultivating strong relationships with enterprise and mid-market clients.
• Partner closely with Microsoft teams and ecosystem collaborators, leveraging co-sell opportunities and joint go-to-market strategies.
• Build and maintain a strong sales pipeline, ensuring consistent and sustainable business expansion.
• Stay ahead of market trends, competitive landscapes, and emerging Microsoft Data & AI advancements to offer informed solutions.
• Work in collaboration with Collectiv's consulting and delivery teams, ensuring smooth transitions from sales to execution for client success.

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values:

Growth Mindset Bring solutions, not problems.

Excel with Humility Be humbly brilliant.

Communicate Actively and Empathically Listen, ask, understand, help.

Work Hard, Play Hard Results are proportional to effort.

Keep Calm and Carry On Stay cool, calm and Collectiv.

Role Title - Quality Control Analyst III, Analytical

Department- QC

Reports to- QC Manager, Analytical

FLSA -Exempt

Salary Range: $80k- $90k

CORE VALUES

Respect ● Passion ● Teamwork ● Integrity ● Honesty ● Commitment ● Collaboration

COMPANY DESCRIPTION

Polaris Pharmaceuticals, Inc., an affiliate of the Polaris Group ( ), is a therapeutic protein drug manufacturer located in Vacaville, California. Polaris has a cGMP facility producing biological study drugs to support all Polaris Group clinical trials at various stages in the USA, Europe, and the Asian-Pacific region.The lead project of the company is now in clinical trials for patients with different types of cancer including mesothelioma, sarcoma, and glioblastoma. Polaris is seeking candidates to help with the production of this protein drug as well as the production of products for our clients and partners.

ROLE SUMMARY

The Quality Control Analyst, under direct or minimal supervision, is responsible for performing biochemical, physical, and chemical evaluations of process development, lot release, and stability samples compliant with cGMP guidelines. The Analyst works independently on assays that he/she has mastered. This position requires willingness to undergo training on more advanced analytical methods and always employs laboratory safety policies. The Analyst will be responsible for the timely completion of assignments. Good record keeping, organizational, written, and verbal communication skills are essential. The analyst must be willing to work overtime as required.

ROLE RESPONSIBILITIES

• Performs, under direct or minimal supervision, biochemical/physical/chemical analyses of test samples under cGMP to meet specified timelines.
• Reviews test data for accuracy, data integrity, system suitability, and conformance against defined criteria/specifications.
• Provides technical support with troubleshooting of test methods, as needed.
• Identify and contribute to OOS/OOE/OOT investigations related to testing performed.
• Initiate and author deviation and laboratory investigations.
• Maintains the laboratory in an inspection-ready state.
• Develops and maintains proficiency in a broad range of trained test methods.
• Train analysts on test methods and procedures.
• Responsible for authoring Change Control records and leading the revision of written procedures as assigned.
• Holds self and others responsible to abide by department and company policies and practices.
• Adheres to cGMP, 21CFR, USP, EP, ICH, and other applicable regulatory requirements.
• Manage reagent and equipment inventory for assigned areas of responsibilities.
• Responsible for sampling and testing of incoming raw materials

SKILLS

• Strong working knowledge of cGMP regulations, including 21CFR 210 & 211, USP, EP, and ICH.
• Ability to follow written instructions and to perform tasks with direct or minimal supervision.
• Works independently as well as in a team environment.
• Familiarity with use of a computer: e.g., Proficient in Windows, Microsoft Word, Excel.
• Good written, verbal, and communication skills.
• Strong documentation skills a must. The analyst must develop skills in the operation and routine maintenance of various analytical instruments and computers.

The analyst must develop the skills necessary to understand the operation of the equipment and gain knowledge of the equipment used for testing and to use these skills in the event of an unexpected result caused by equipment or reagent failure that warrants a laboratory investigation. Experience with Protein analytics, SDS-PAGE, separations technology for HPLC, Chromatography Data Systems (CDS) software such as OpenLab, subvisible particles testing (USP ), and CCIT preferred. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities by this job include close vision, depth perception and ability to adjust focus.

QUALIFICATIONS

B. S./B. A. in Science/Related Field (major in biology-biochemistry-chemistry). Minimum of 5 years of relevant laboratory experience is desired.

Title: Senior Business Analyst – Clinical / Quality / Regulatory Data (GxP / Pharma)

Location: Greater Boston Area, MA (Hybrid 3 days onsite)

Employment Type: Contract

Status: Accepting Candidates

About the role

Seeking a data-focused Business Analyst to support Clinical, Quality, and Regulatory data initiatives in a GxP-regulated biotech environment.

This role will work closely with business stakeholders and engineering teams to translate requirements into data-ready specifications, mappings, and functional documentation to enable analytics and data delivery.

Key Responsibilities

• Translate business needs into functional requirements, epics, user stories, and acceptance criteria
• Create source-to-target mappings, data flow diagrams, and data documentation
• Partner with Clinical, Quality, and Regulatory stakeholders to define data and reporting requirements
• Work with engineering teams to support delivery of data and analytics solutions
• Support UAT, validation, and testing cycles to ensure requirements are met
• Assist with data governance, metadata, and data cataloging activities

Qualifications

• Strong Business Analyst experience in Pharmaceutical / Biotech / GxP environment
• Experience in Clinical, Quality, or Regulatory domain
• Solid understanding of data models, data flows, and data mapping
• Experience with tools such as Veeva, SQL, Snowflake, JIRA, Power BI, or Oracle
• Knowledge of Agile methodology and requirements lifecycle
• Ability to work independently and communicate with cross-functional stakeholders

Compensation (MA Pay Transparency):

• Estimated hourly range: $75–$80/hr (W-2)
• Final rate within this range will be based on skills, experience, and interview results.

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.

Our Commitment to Inclusion: