What Is Data Driven Development Jobs in Usa

Responsibilities:

• Supports the development of new products by applying engineering fundamentals and concepts to advance product development deliverables within the functional area.
• Support installation and qualification of R&D equipment.
• Perform data analysis and write technical reports based on product development activities.
• Support purchasing process of materials, equipment and testing consumables.
• Develop and validate test methods for raw materials and in-process inspections (i.e., Gage R&R).
• Ensure compliance with Design Control process requirements throughout the product lifecycle.
• Support Design Control process activities such as the creation and maintenance of Design History Files (DHF) and risk management (DFMEA) documentation.
• Support the development of DMR documentation such as raw material specifications, component specifications, test methods, manufacturing instructions, etc.
• Conduct engineering testing, including performance, reliability, and usability assessments.
• Participate in design reviews, root cause analysis, and failure investigations.
• Assist in technology transfer and process validation activities for new product introductions.

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as

the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.

The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.

Key Responsibilities:

Client & Stakeholder Engagement

• Serve as the primary analytics point of contact for clients
• Present performance reports, dashboards, and model insights
• Translate complex statistical results into clear business recommendations
• Participate in strategy calls

Data Analysis & Reporting

• Analyze large datasets to identify trends, risks, and opportunities
• Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
• Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
• Segment performance by channel, risk tier, geography, or campaign
• Perform root cause analysis on performance shifts

Modeling & Optimization Support

• Work alongside data scientists to interpret model outputs
• Conduct A/B testing and performance experiments
• Identify segments with low performance and recommend optimization strategies
• Validate model deployment performance in production environments

Cross-Functional Collaboration

• Coordinate with underwriting, marketing, risk, and engineering teams
• Assist in translating business requirements into analytical frameworks
• Support compliance and reporting needs where applicable

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
• field
• 2–5+ years of experience in data analytics, preferably in fintech or lending
• Strong proficiency in SQL
• Experience with R or Python
• Experience with BI tools (Tableau, Looker, etc.)
• Excellent communication and presentation skills
• Ability to explain technical concepts to non-technical audiences

Preferred Qualifications

• Experience with underwriting analytics or credit risk modeling
• Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
• Knowledge of fraud detection metrics
• Experience working in a client-facing or consulting environment

Core Competencies

• Strong analytical thinking
• Business acumen
• Executive-level communication
• Detail-oriented but able to see big picture
• Proactive problem-solving mindset

Title: Specialist I, Logistics Data

Job Summary: The Logistics Data Specialist is responsible for managing logistics master data, validating transactional accuracy, and delivering analytics that support transportation planning, customs execution, warehousing, and freight settlement. This role partners with Operations, Procurement, Trade Compliance, and Finance to ensure information reliability and actionable reporting.

Responsibilities include:

• Maintain carriers, lanes, rates, BOMs, HTS, and partner master data in TMS/WMS/SAP.
• Perform audits on shipments tracking milestones, POD, cost allocation, and accrual triggers.
• Identify root causes of data discrepancies and implement corrective actions.
• Build SOPs for data entry, validation logic, and exception handling
• Develop dashboards for OTIF, GIT, transit time, freight spend, accessorial, claims, and capacity utilization.
• Provide weekly/monthly KPI packs to operations leadership.
• Support budget vs. actual analysis and PR forecast modeling.
• Translate business requirements into SQL/BI outputs.
• Validate rating, fuel, and accessorial charges.
• Support three-way match among PO, shipment, and invoice.
• Prepare accrual and variance reports.
• Assist audit requests from Finance
• Act as super-user for TMS/WMS modules.
• Drive automation to reduce manual work
• Work with transportation, warehouse, procurement, and customs teams to improve data transparency.
• Provide data analysis for RFPs, network optimization, and vendor reviews
• All other duties as assigned

Qualifications:

• Bachelor’s degree in supply chain, Logistics, Business Analytics, or related discipline
• 2+ years in logistics, transportation analytics, or supply chain systems.
• Experience working with freight invoices, carrier data, or brokerage information is highly valued
• Advanced Excel (pivot tables, power query, xlookups).
• SQL or similar database querying.
• BI tools such as Power BI, Tableau, or Looker.
• Familiarity with SAP/TMS/WMS environments (e.g., SAP, Oracle, MercuryGate, etc.).
• Strong analytical reasoning.
• High attention to detail.
• Comfortable in fast-moving, build-phase environments.

Physical Requirements and Working Conditions

• Ability to sit for extended periods while working at a computer
• Frequent use of hands and fingers for typing, filing, and operating office equipment
• Occasional standing, walking, bending, and reaching
• Ability to lift and carry light office materials (up to 10–15 lbs.), such as files or office supplies
• Visual acuity to read screens, documents, and reports
• Ability to attend meetings and interact with employees, clients, and vendors

About the Job

Ecorobotix Inc. creates innovative robotic solutions that reduce the negative ecological impact of modern agriculture. We have developed an AI-based ultra-high precision spot spraying technology that drastically reduces the amount of chemicals used in crop fields while keeping costs competitive. The technology is currently deployed on our tractor-towed ARA machine. By joining our talented and dynamic team, you will contribute to a more sustainable, environment-friendly agriculture in an innovative scale-up at the cutting edge of technology. We are a revolutionary organization with a great work environment that supports creativity through self-motivation.

General Objective of the Role

Support the development of Ecorobotix’s turf-care system through collection of high-quality turf imagery and environmental data to support AI model training and validation. The Regional Turf Data Technician is responsible for building and maintaining relationships with golf courses, sod farms, sports fields to assess whether their facilities have the type of data that we need to photograph and obtain any permits needed to collect those photographs. The Regional Turf Data Technician will need to produce high quality and variety of images of desired turfgrass species and document pests based on business needs. This individual will work outdoors to ensure regular monitoring of turfgrass and associated pests within their geographical area.

Reporting Lines & Interactions

Reports Turf Data Team Manager, Turf Division. This role will collaborate with the AI and Crop Vision team as well as Turf Data Quality teams to ensure they are achieving data quantity and quality goals. The Regional Turf Data Technician will also collaborate with other members of the pre- and after-sales teams of Ecorobotix Inc. as required to scout for data collection locations. Externally, interaction with dealers, superintendents, turf farm managers, and athletic facility managers on turf facilities or at regional association meetings and trade shows is required.

Key Responsibilities

• Become data project specialist for your assigned region
• Collect turfgrass imagery according to defined protocols
• Operate and maintain camera and field data systems
• Work with sales team to collect data at turf facilities in assigned region
• Assist with analysis of future turfgrass model data collection and methods to improve data collection work flow
• Up to 70% required travel within given territory with occasional travel outside of territory based on business needs.

Qualifications

• 2+ years of experience in managing turfgrass field research data collection.
• Familiarity with turf management, turf weeds or agricultural imaging.
• Bachelor’s degree in turfgrass science, agronomy or horticulture
• Two or more years of experience in turfgrass management (e.g. golf course, lawn care, sports field, sod farm management)
• Have a strong knowledge or interest in turfgrass management and pest management
• Knowledge of IT tools (tablets with internal software, smartphones) to manage communications and necessary data.
• 2+ years of experience interacting with turfgrass managers
• Must have a clean driving record

Experience/Skills

• Technical proficiency with sensors and data tools.
• Ability to travel up to 70% and work outdoors in varying conditions in their region.
• Excellent organization and communication skills.
• Knowledge of turfgrass management techniques (knowledge of weeds, diseases, weed control methods, machinery and work on turfgrass managers in general)
• High degree of independence, reliability and initiative.
• Strong team spirit with a desire to work in a fast-paced environment.
• Analytical and structured approach to work with the ability to adapt quickly to changes
• Dedicated person with systematic, goal-oriented working methods
• Ability to manage multiple projects simultaneously and meet deadlines.
• Excellent written and verbal presentation skills with clear and consistent communication.
• Proficiency in Microsoft Excel, PowerPoint and Word
• Interest in precision turfgrass management and innovation in the golf and turf industry.

Data Entry Coordinator - 7 month contract - fully onsite in Fountainebleau, Florida.

Our client is looking for a data entry co-ordinator to join their team this week working full onsite in Fountainebleau, Florida for an initial 7 month contract.

• Perform clinical data processing tasks under the direction of the Site Director or another designated manager.
• Complete all sponsor-required training to obtain the necessary access and approval for data entry.
• Accurately enter protocol-specific data into paper or electronic case report forms.
• Monitor and track data entry to ensure completeness for all study subjects, including completed visits and associated forms.

Be the one who makes a difference!

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is destined to benefit many and yet it starts with just one person inspired to work together with us to make a memorable and meaningful difference for our clients, schools, students, and communities. Be the one who makes a difference—with us.

The Marketing Analytics Analyst supports Legacy Traditional Schools by transforming marketing and enrollment data into actionable insights that improve student recruitment and family engagement. This role integrates data from multiple platforms, develops clear and effective dashboards, and delivers analysis that helps the marketing team make smarter, faster decisions.

Reporting to the Director of Business Intelligence, the Marketing Analytics Analyst serves as a strategic partner to marketing leadership by improving data quality, clarifying performance metrics, and identifying opportunities to optimize campaigns, resource allocation, and enrollment outcomes. This role helps ensure marketing efforts are measurable, efficient, and continuously improving so more families can find and connect with the educational opportunities Legacy provides.

Essential Functions:

1. Marketing Data Management and Governance:

• Collect, integrate, and validate data from web analytics, CRM, paid media, SIS, application, and marketing automation platforms.
• Own and maintain marketing data integrations and reporting workflows across tools such as Google Analytics, HubSpot, SchoolMint, and student information systems.
• Define, document, and maintain standardized marketing metrics, reporting logic, and data governance practices.
• Ensure marketing data is accurate, consistent, and reliable across platforms and reporting outputs.

2. Marketing Analytics and Insights:

• Analyze campaign performance, audience behavior, lead flow, and enrollment conversion trends to identify actionable opportunities.
• Design, support, and evaluate A/B tests to improve campaign effectiveness and inform future strategy.
• Develop forecasts related to lead volume, conversion, enrollment trends, and marketing performance.
• Track and interpret key performance metrics such as cost per lead, conversion rates, application yield, and enrollment outcomes.
• Translate complex data into clear insights and practical recommendations for marketing and business leaders.

3. Reporting and Visualization:

• Build, maintain, and enhance dashboards and reports that communicate marketing performance to stakeholders.
• Automate recurring reporting processes to improve efficiency, reduce manual effort, and increase accuracy.
• Tailor reporting views and analyses to meet the needs of marketing leadership and cross-functional partners.
• Present findings in a clear, compelling, and decision-oriented manner.

4. Financial and Performance Analysis:

• Monitor campaign budgets, pacing, and performance against plan.
• Evaluate the return on investment of paid media and broader marketing initiatives.
• Identify opportunities to improve efficiency and maximize enrollment impact per dollar spent.
• Partner with marketing leaders to refine strategy based on financial, operational, and performance data.

5. Continuous Improvement and Innovation:

• Stay current on marketing analytics tools, trends, and best practices.
• Recommend and implement process improvements, tools, and analytical approaches that strengthen marketing decision-making.
• Identify opportunities to streamline internal workflows, improve reporting usability, and increase data accessibility.
• Support ongoing innovation in marketing measurement and analysis to better advance student recruitment goals.

Required Qualifications:

• Bachelor’s degree in Marketing, Data Analytics, Statistics, Business, or a related field.
• Minimum of 3 years of experience in marketing analytics, campaign analysis, business intelligence, or a related data-focused role.
• Proficiency in SQL and at least one programming language, such as Python or R.
• Hands-on experience with web analytics platforms, CRM systems, and marketing automation tools.
• Experience with data visualization and reporting tools such as Tableau, Power BI, Looker, or similar platforms.
• Strong understanding of data quality, governance, and metric standardization best practices.
• Demonstrated ability to synthesize data into actionable business insights and communicate findings effectively to non-technical stakeholders.

Preferred Qualifications:

• Certifications in Google Analytics, HubSpot, or related marketing analytics platforms.
• Experience with student information systems such as Infinite Campus or PowerSchool.
• Experience with application or enrollment platforms such as SchoolMint.
• Familiarity with paid media, programmatic advertising, and digital campaign measurement.
• Advanced Excel skills, including modeling, scenario analysis, and data manipulation

Be excited to be a part of our team and grow your career with us!

Be the one who enables us to positively impact over 258,000 students across multiple states while driving our growth forward so we can enrich even more lives. Be the one who helps us achieve excellence for over 226 schools that we support with academics, finance, technology, human resources, communications, marketing, facilities, construction, and food services. Be the one who is a diverse thinker, a team player, a smart risk taker, an innovator, and a difference maker by encouraging others to climb higher and reach farther to further education.

• Be yourself surrounded by wonderful people who care about you, value your unique skills, and lift you up.
• Be supported in your work by caring leaders and team members who want you to succeed.
• Be empowered to make a difference and climb higher and reach farther to change lives through education.
• Be well in all aspects of your life from your physical, mental, and emotional wellbeing to your finances.
• Enjoy industry-leading pay, rewards, referral bonuses, with unlimited flexible paid time-off for performance.
• Be able to care for your health and your family with comprehensive medical, dental and vision benefits and invest in your future with 401(k) plans with a 6% employer match on your contributions.
• Enhance your growth and development with mentoring and money to take training classes.
• Thrive in a welcoming, supportive, and inclusive environment where we treat others with fairness and respect, celebrate diversity, and elevate equality and inclusion as an equal opportunity employer.

Be the one who makes a difference!

With an innovative mind, a hungry heart, and engaging spirit you can change lives through education. Be a part of Vertex Education and let’s make a difference together. Apply Today!

**This is a part time role**

About Us

This role supports the Flight Operations team with a primary focus on data entry. The position ensures that flight information, and scheduling data are entered, maintained, and verified for accuracy while assisting with light operational tasks as needed.

Responsibilities

· Enter and update data accurately into company databases and systems

· Review information for errors or missing data and make corrections

· Maintain organized records of data sources and entries

· Support other administrative or clerical tasks as needed

· Ensure confidentiality and data security standards are maintained

Qualifications

· Previous data entry or administrative experience preferred

· Strong attention to detail and organizational skills

· Proficient in Microsoft Excel, Word, and basic computer applications

· Ability to type efficiently and accurately

· Excellent time management and reliability

What We Offer

· Flexible scheduling

· Supportive team environment

· Growth opportunities within the company

Pay: $25.00 up to 20 hours a week

Open date: February 24, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 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.

This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.

We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.

The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.

Duties of Position:

Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.

Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.

Department:

Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.

Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.

*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.

*Teaching or tutoring experience at K-12, community college, and/or university levels.

*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).

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

  
  

• Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity

  
  

• 2 required (contact information only)

References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).

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
  

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.

How you will make an impact:

• Develop and maintain shared semantic models in Power BI using star schema design.

• Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.

• Define and implement best practice report/data management through Microsoft Fabric integrations

• Review and maintain reports for performance optimizations, style consistency, and best practice improvements.

• Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.

• Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.

• Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.

We are looking for people who have:

• Experience (4+ years) in Data Modelling, Data Analysis, or similar.

• Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.

• Demonstrated proficiency creating SQL queries to manipulate large datasets.

• Strong analytical and problem-solving skills, with a focus on best practice and data governance.

• Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.

• Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.

• Experience with BigQuery or other data warehousing platforms.

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.

We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range:

Job Posting Title:

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