Continuous Dataset Example Jobs in Usa

Clinical Data Scientist

Redwood City, CA (Hybrid potentially remote options)

Salary: $150,000-$190,000

No Sponsorship Available

About the Role

We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.

In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.

You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.

This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.

What You’ll Do

• Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
• Ensure outputs meet quality, compliance, and traceability standards.
• Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
• Perform robust data cleaning and QC checks.
• Investigate anomalies and troubleshoot issues across the data pipeline.
• Distinguish between upstream extraction issues and true clinical variations.
• Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
• Serve as an early user and feedback partner for internal data tools.
• Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
• Support compliance and regulatory submission needs.
• Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
• Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.

What You Bring

• Education:
• BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
• Experience:
• 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
• Technical Strengths:
• SAS, R, Python, SQL
• Experience with Git/version control preferred
• Industry Knowledge:
• Familiarity with clinical trial workflows
• Strong understanding of CDISC SDTM/ADaM
• Oncology endpoints (RECIST, survival) and RWD experience is a plus
• Data Wrangling:
• Comfort “stitching together” messy, real‑world clinical datasets
• Experience with unstructured text or NLP outputs is desirable
• Soft Skills:
• Exceptional attention to detail
• Clear, structured communicator
• Proactive, self‑directed, collaborative

Job Summary:

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

Duties:

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

Desired Skills/Experience:

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

Benefits:

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

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

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

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

About 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.

About Sales Strategy & Operations

As a Sales Strategy & Operations (SS&O) team, our mission is to power sustainable revenue growth for Pinterest with datadriven strategic insights and decision making, tight management against them and highimpact revenue management. We inform critical business decisions driving revenue growth, so team members are highly visible to senior Sales leadership at Pinterest and throughout the organization at large.

This role sits within the SS&O team supporting Programmatic Sales, partnering closely with the VP, GM Programmatic Ads Sales and Programmatic Sales leadership to shape and scale a priority growth business for Pinterest.

What You'll Do:

Reporting to the Senior Director of Sales Strategy & Operations for Agency & Programmatic, and in close partnership with the VP, GM Programmatic Ads Sales, you will develop and bring to life datadriven strategies to accelerate growth in this critical business vertical. In this role, you will:

• 
  
• 
  

  Own development of the sales gotomarket strategy for Programmatic Sales - including customer segmentation, ideal customer profiles, bookofbusiness design, coverage models, sales priorities, and annual planning for Programmatic sellers.

  
  
  
• 
  

  Lead the analytics and forecasting engine for Programmatic Sales by designing and maintaining revenue forecasts, pipeline and coverage models, performance scorecards, and forwardlooking views that help leadership make fast, datadriven decisions.

  
  
  
• 
  

  Build and manage core reporting and dashboards (in partnership with Data, Finance and BizOps) that surface clear, actionable views of programmatic performance across regions, channels, partners, and products - and continually refine these based on stakeholder needs.

  
  
  
• 
  

  Run recurring business review cadences (e.g., weekly performance reviews, monthly/quarterly business reviews) for Programmatic Sales - owning the narrative, analyses, materials, and followup to drive accountability and execution.

  
  
  
• 
  

  Translate complex data into clear stories and recommendations for Sales and executive stakeholders, including diagnosing performance drivers, identifying opportunities and risks, and proposing concrete actions for sellers, leaders, and XFN teams.

  
  
  
• 
  

  Design and refine sales processes and workflows as new programmatic products, deal types and partners are launched and as new acquisitions are integrated - ensuring Programmatic Sales has clear ways of working, robust documentation, and measurable outcomes.

  
  
  
• 
  

  Partner with crossfunctional teams (Finance, Product & Engineering, Product Marketing, BizOps, Client Solutions) to define strategy and operating details for Pinterest's programmatic offering as it evolves, ensuring Sales input is grounded in data and market reality.

  
  
  
• 
  

  Identify and test new growth opportunities through structured experiments and analyses (e.g., pricing tests, new motion pilots, coverage and incentive changes), and operationalize successful approaches at scale.

  
  
  
• 
  

  Drive standardization and scalability by codifying best practices, creating reusable analytics and tooling, and aligning on shared metrics and definitions across Programmatic Sales and broader Sales orgs.
  
  

  
  
  

What We're Looking For:

• 
  
• 
  

  7+ years of professional experience in strategy & operations, analytics, or similar fields in a fastpaced, highly analytical environment (e.g., management consulting, investment banking, tech/media, or revenue/sales strategy & operations).

  
  
  
• 
  

  Direct experience in programmatic or digital advertising (publisher, platform, agency, ad tech, or consulting), with a solid understanding of SSPs/DSPs, deal types, and the broader programmatic ecosystem.

  
  
  
• 
  

  Exceptional analytical and quantitative skills - you are comfortable working with large, complex datasets, building models and forecasts, and stresstesting assumptions to arrive at sound, datadriven recommendations.

  
  
  
• 
  

  High data fluency and tool comfort - advanced proficiency in Excel/Sheets and data visualization tools (e.g., Tableau, Looker) is expected; familiarity with SQL and querying large datasets is a strong plus.

  
  
  
• 
  

  Proven experience building metrics frameworks, dashboards, and reporting that help senior leaders quickly understand business performance and make decisions, including owning definitions, documentation, and change management.

  
  
  
• 
  

  Demonstrated ability to partner closely with senior sales leaders (Director/VP+) to define strategy, build annual and quarterly plans, forecast revenue, and drive accountability against goals.

  
  
  
• 
  

  Strong structured problemsolving skills and comfort driving decisions in ambiguous, evolving situations where goals, data, or processes are not yet fully defined.

  
  
  
• 
  

  Excellent communication and storytelling skills - able to synthesize complex analyses into clear narratives, build compelling materials, and influence crossfunctional partners and senior stakeholders who may not be in your direct line of control.

  
  
  
• 
  

  Organized, detailoriented and strategically focused, with a track record of driving measurable impact in complex, matrixed, and fastmoving environments.

  
  
  
• 
  

  Bachelor's degree in a relevant field such as business, economics, statistics, engineering, or a related field, or equivalent practical experience.
  
  

  
  
  

InOffice 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 inperson collaboration at least one day per week and therefore needs to be within a commutable distance from the Los Angeles, Chicago, New York, or Seattle offices.
  
  

Relocation Statement:

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

#LI-HYBRID

#LI-AT6

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:

Bioinformatics Scientist – Antibody Discovery

A growing global veterinary pharmaceuticals organisation is looking for a Bioinformatics Scientist to support antibody discovery programmes for companion animals (dogs, cats, horses).

Working closely with senior R&D leadership, this role will focus on applying bioinformatics, sequencing data analysis and protein modelling to identify and optimize therapeutic antibody targets.

Key Responsibilities

• Analyse genomic, DNA-seq and RNA-seq datasets to support antibody discovery
• Apply bioinformatics and modelling approaches to evaluate and optimize antibody candidates
• Contribute to protein modelling and in-silico antibody engineering (e.g. liability remediation, biophysical optimization)
• Curate and integrate genomic datasets for companion animal species
• Collaborate closely with discovery biology and R&D teams

Key Requirements

• At least 1 year of experience working with therapeutic antibodies (essential)
• Experience analyzing next generation sequencing datasets (DNA / RNA-seq)
• Background in bioinformatics, computational biology or structural biology
• Familiarity with protein modelling / antibody engineering tools (e.g. MOLE, Rosetta or similar)
• Strong communication skills and ability to work cross-functionally with scientific teams

This is an exciting opportunity to contribute to cutting-edge biologics discovery in animal health, helping develop next-generation therapies for companion animals.

If interested, please reach out for a confidential discussion.

Our client is a forward-thinking consultancy at the forefront of technology and innovation, dedicated to empowering organizations to thrive in an ever-evolving digital landscape. Our clients mission is to help businesses harness the power of data and artificial intelligence to drive growth, enhance customer experiences, and optimize operations.

As they enter their next phase of expansion, they are seeking a GenAI Architect to drive cutting-edge AI/ML projects and turn complex data into actionable insights. You’ll thrive in a client-facing, project-based role, leading teams to design, build, and deploy enterprise-scale models across diverse use cases.

Responsibilities

• Lead project teams and act as the technical architect on AI/ML initiatives.
• Analyze large, complex datasets and translate them into impactful insights using ML and AI techniques.
• Build, implement, and deploy models into production environments, leveraging best practices across cloud and on-prem solutions.
• Collaborate with clients to define requirements, architect solutions, and present technical recommendations.
• Coach and mentor junior team members while driving project success.

Experience

• Proven track record building large-scale AI/ML solutions in enterprise or consulting environments.
• 5+ years of hands-on experience in statistical modelling, analytics, and machine learning.
• Advanced academic background (Master’s in Statistics, Math, Computer Science, or related; PhD is a strong plus).
• Expertise in a wide range of ML and AI techniques: regression models, cluster analysis, predictive modeling, neural networks, deep learning, decision trees, ensemble methods, and more.
• Strong programming skills in Python, TensorFlow, PyTorch, Hugging Face Transformers, and other ML frameworks for model development and experimentation.
• Deep understanding of NLP fundamentals, including tokenization, embeddings, language modeling, sequence labeling, and text generation.
• Experience with modern AI tooling: LangChain, vector databases, prompt engineering, and large-scale data embedding.
• Solid knowledge of relational (SQL) and non-relational (NoSQL) databases, and distributed systems like Hadoop and Spark.
• Ability to turn complex datasets into compelling, actionable insights using visualization tools (RShiny, Python, Tableau, Power BI, D3.js, etc.).
• Passion for mentoring and leading teams, fostering growth and knowledge sharing.
• Experience managing data workflows: wrangling, exploring, transforming, and analyzing diverse datasets.
• Familiarity with monitoring model performance, tuning, and ensuring high-quality data.
• Excellent communication skills with the ability to engage stakeholders at both technical and business levels.
• Strong curiosity and thought leadership, staying ahead of AI/ML trends and research.
• Experience deploying ML models into production on cloud platforms such as Google Cloud Platform, Azure, or AWS.

Please note, our client is unable to support visa transfers at this stage and can hire US citizens or Greencard holders.

If you feel you have the required skills, please get in touch with a copy of your CV! Or email me directly at

At Quotacom, we take the security and privacy of your personal data very seriously, any data we hold will be in accordance with data protection legislation. Full details of our privacy notice can be found at

• 
  
• Manage recurring data operations and reporting: pull data from multiple sources, maintain clean datasets, analyze trends, and deliver weekly or monthly dashboards and readouts in Sheets and Slides
  
• Administer surveys end-to-end (SurveyMonkey, Qualtrics, or similar): build and QA, manage response data, analyze results, and package findings into clear reports and decks
  
• Maintain people operations datasets, including hiring-related tracking and weekly roster updates, ensuring strong data integrity and consistent formatting
  
• Support onboarding administration, including LMS completion reporting, overdue follow-up tracking, and course assignment administration
  
• Build and iterate Tableau dashboards to replace or augment recurring reports, improving self-serve access to metrics and insights
  
• Streamline repeatable work using automation and AI (for example: faster data cleanup, report drafting, and workflow simplification)
  
• Support ad-hoc operational requests as needed (quick analyses, dashboard iteration, Google Sheets troubleshooting, and documentation updates)
  

• 
  
• Strong experience with data operations and reporting: pulling data from multiple sources, cleaning and reconciling datasets, analyzing trends, and producing clear recurring reporting
  
• Proficiency in building and maintaining Tableau dashboards (defining metrics, creating views, iterating based on stakeholder feedback)
  
• Advanced Google Sheets skills (dashboards, pivot tables, complex formulas, and scripts) and comfort presenting outputs in Google Slides
  
• Experience administering surveys (SurveyMonkey, Qualtrics, or similar), including survey setup, response management, and results analysis
  
• Experience with administrative operations that require precision and follow-through (tracking, audits, recurring updates, and systems hygiene)
  
• Comfort with LMS administration and reporting (completion reports, tracking overdue items, course assignments)
  
• Experience leveraging AI tools to accelerate analysis and streamline repeatable work; with automation + agent experience (Apps Script, Zapier, Make)
  
• Proven ability to handle sensitive and confidential information with discretion
  
• Ability to navigate ambiguity and shifting priorities, respond well to ad hoc requests, and keep stakeholders informed with clear status updates
  
• Proven ability to work independently with minimal oversight in a remote environment
  
• Availability requirement: able to consistently work 5+ hours on Mondays; remaining hours are flexible within a 10-15 hours per week schedule
  

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

• 
  
• Photo & Video Capture and Imaging Data Management
  
• Capture high-quality photos and videos using camera devices (primarily smartphone cameras) in both lab environments and real-world scenarios.
  
• Execute image and video analysis tools to evaluate camera performance and generate quantitative and qualitative results.
  
• Manage and maintain imaging databases across multiple Image Quality (IQ) domains, including: Texture and Noise, Color Accuracy, HDR, Exposure, Zoom, Bokeh, Video Quality, Image, Stabilization
  
• Configure and operate Android devices using Android Debug Bridge (ADB) for camera testing and data capture.
  
• Organize captured data through structured folder systems and naming conventions to support multi-device testing workflows.
  

• 
  
• Maintain and operate Camera Image Quality evaluation labs located at San Diego campus.
  
• Ensure the lab environment is properly configured for camera testing and data collection.
  
• Support camera engineering teams by maintaining testing equipment, scenes, and workflows.
  

• 
  
• Develop and enhance Python-based tools for image quality analysis and evaluation.
  
• Assist in developing evaluation protocols for camera IQ metrics, including texture, color, HDR, exposure, zoom, and video stabilization.
  
• Support development of test scenarios for both lab setups and real-world capture conditions.
  
• Work with tools such as FFmpeg for video analysis and processing.
  
• Assist in building and organizing image/video datasets for machine learning training, including data annotation and labeling.
  

• 
  
• Bachelor's degree in Engineering (Electrical Engineering, Computer Engineering, Computer Science, or related field).
  
• Strong interest in camera imaging, photography, or image quality evaluation.
  
• Basic knowledge of Python programming.
  
• Ability to manage large datasets and organize technical data efficiently.
  

• 
  
• Experience with image or video processing tools.
  
• Familiarity with Android Debug Bridge (ADB).
  
• Knowledge of MATLAB, Python scripting, or FFmpeg.
  
• Exposure to computer vision, image quality analysis, or camera testing.
  
• Understanding of image datasets used in machine learning workflows.
  

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

• Support the Regional MP&L team (USA, Canada, Mexico) with data analysis, reporting, and cross-functional coordination
• Prepare, structure, and interpret data to enable informed decision-making across Transportation, Packaging, Inventory, and Customs
• Report directly to the Team Manager, Regional MP&L

Key Responsibilities

• Analyze and consolidate operational data from Transportation, Packaging, Inventory, and Customs
• Prepare structured datasets in Excel (including Power Query / Power BI tools) to support business decisions
• Develop recurring and ad‑hoc reports for performance monitoring across MP&L functions
• Monitor key operational KPIs and identify variances, trends, and improvement opportunities
• Combine and link data sources from different domains to create a unified analytical view
• Support Customs data analysis, including classification trends, duty impact, and compliance metrics
• Contribute to improving data accuracy, completeness, and compliance across all MP&L reporting streams
• Assist with the creation of dashboards, templates, and standard formats for recurring analytics
• Provide timely insights and recommendations to improve logistics efficiency and cost performance

Required Skills & Qualifications

• Strong analytical mindset with the ability to work with large datasets
• Advanced Excel skills (pivot tables, formulas, data modeling)
• Experience with Power Query, Power BI, or similar data transformation tools
• Ability to combine, merge, and reconcile data from multiple sources
• Familiarity with logistics, supply chain, or customs-related data (preferred)
• Excellent attention to detail and structured working style
• Ability to communicate insights clearly in both written and visual formats
• Bachelor’s degree or college degree in Supply Chain, Business, Data Analytics, or a related field

Preferred Experience

• Initial work experience or internship in supply chain, logistics, or data analytics
• Knowledge of transportation, packaging, inventory processes, or customs documentation
• Experience working in an international or multi‑regional environment

Personal Attributes

• High level of curiosity and motivation to explore and understand complex data
• Proactive and self-driven individual with a continuous improvement mindset
• Strong problem-solving skills and ability to work independently with minimal supervision
• Organized, reliable, and comfortable working with deadlines
• Team player with strong interpersonal communication skills