Syniti Data Migration Tutorial Jobs in Usa

OB OVERVIEW:

Start Your Career in Tech Construction. Are you ready to put your hands-on skills to work in one of the fastest-growing industries? Join a growing technology company as a Field Technician and help build and maintain the systems that power modern data centers. No prior data center experience required — we provide full training and support.

This is a great opportunity for anyone with construction, fabrication, or trade experience (or just a strong work ethic and willingness to learn) to launch a stable career with growth potential.

What You’ll Do as a Field Technician – Entry-Level (Construction / Data Centers)

• Install, assemble, and modify containment systems that improve cooling efficiency in data centers
• Perform specialized cleaning and decontamination of equipment and areas to keep facilities running at peak performance
• Assist with deliveries, organize materials, and maintain tools and equipment
• Follow direction from supervisors to complete tasks safely, accurately, and on time
• Identify and report potential risks, always prioritizing safety
• Represent the company professionally with clients and team members

What We’re Looking For in a Field Technician – Entry-Level (Construction / Data Centers)

• 0–2 years of construction, technician, or trade experience (data center experience is a plus)
• U.S. citizenship or naturalized citizen, 18+ years old
• Reliable transportation to job sites
• Able to pass a background check and drug screen
• Comfortable working at heights, around noise, and in temperatures from 0–100°F+
• Physically able to lift 50 lbs and stay on your feet most of the day
• Positive attitude, strong work ethic, and good communication skills

Schedule & Pay for Field Technician – Entry-Level (Construction / Data Centers)

• Monday–Friday, 6:00 AM to 3:00 PM (overtime available)
• Full-time, on-site role
• Competitive hourly pay with overtime opportunities
• Full training, safety gear (PPE), and on-the-job mentorship provided

Why Join Us?

• Be part of the growing data center industry
• Gain hands-on technical skills with full training
• Work with a supportive team in a professional environment
• Build a career with opportunities for advancement

Apply today and start your career in data center construction with a growing technology company!

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
  

Open date: February 25, 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.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

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

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 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
  

• 
  
• Own and grow a defined portfolio of Tier-1 and Tier-2 data center accounts, including operators, hyperscalers, and large enterprise customers
  
• Develop and execute multi-year account plans focused on share-of-wallet growth, service line expansion, and long-term partnerships
  
• Establish executive-level relationships (Director, VP, and C-Suite) across customer organizations
  
• Approximately 40% travel
  

• 
  
• Consistently achieve or exceed annual bookings and gross-profit targets
  
• Originate, qualify, and close complex opportunities
  
• Drive cross-sell and upsell opportunities across Delivery and Services lines of business
  
• Maintain disciplined pipeline management, forecasting accuracy, and deal qualification standards
  

• 
  
• Lead the full pursuit process including discovery, solution shaping, pricing strategy, and commercial negotiations
  
• Partner closely with Preconstruction, Estimating, Engineering, and Operations to deliver technically and financially sound proposals
  

• 
  
• Represent the company in the local and national data center ecosystem, including industry events, operator forums, and partner meetings
  
• Collaborate with OEMs, GCs, ECs, developers, and design partners to influence early project positioning
  
• Provide market intelligence on customer buying behavior, competitor activity, and emerging service demand
  

• 
  
• Serve as a senior commercial leader and role model within the sales organization
  
• Mentor junior sellers or inside sales partners supporting assigned accounts
  
• Act as the voice of the customer internally, ensuring alignment between sales commitments and delivery execution
  

• 
  
• Bachelor's degree or Associate's degree preferred
  

• 
  
• 10+ years of B2B sales experience, with significant experience selling into the data center industry
  
• Proven success managing and growing large, complex strategic accounts
  
• Demonstrated experience selling construction, commissioning, controls, or technical services in mission-critical environments
  
• Strong understanding of data center delivery models, buying cycles, and stakeholder dynamics
  
• Track record of closing multi-million-dollar deals and managing long sales cycles
  
• Exceptional executive presence, communication, and negotiation skills
  
• Must be a US Citizen
  

• 
  
• Experience working with or selling to Hyperscalers, Colocation Providers, or Fortune 500 Enterprises
  
• Background in White Space Fit-Out, Commissioning, Controls, or Integrated Data Center Services
  
• Experience operating within a private-equity-backed or high-growth environment
  
• Familiarity with Ashburn, Phoenix, or Dallas data center markets and customer ecosystems
  

• 
  
• Annual bookings and gross-profit attainment
  
• Strategic account growth and penetration
  
• Pipeline health and forecast accuracy
  
• Customer retention and expansion
  
• Cross-line-of-business revenue contribution
  

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• Microsoft Office Suite or related software.
  

• 
  
• No supervisory responsibilities for this position.
  

• 
  
• Prolonged periods of sitting at a desk and working on a computer.
  
• Must be able to lift 15 pounds at times.
  
• Frequently required to stand, walk, stoop, kneel, crouch, or crawl.
  

• 
  
• CPG offers a competitive and comprehensive package that includes additional benefits beyond enhanced medical, dental, and vision coverage
  
• Health Benefits - (Medical, Dental & Vision Insurance)
  
• Flexible Spending Account Options
  
• 401K Plan
  
• Employer paid Life & Disability Insurance
  
• Paid Time Off
  
• Employee Referral Program
  
• Employee Assistance Program (EAP)
  

*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

The New York City Department of Youth and Community Development (DYCD) invests in a network of community-based organizations and programs to alleviate the effects of poverty and provide opportunities for New Yorkers and communities to thrive. The Strategic Partnerships Division supports the vision and mission of the agency by building cross-sector partnerships, leveraging data, and advancing strategies that strengthen DYCD's impact across neighborhoods. The Division works in a fast-paced, non-traditional, and highly dynamic environment, requiring creativity, adaptability, and strong analytical capacity. Under the direction of division leadership, and with latitude for independent initiative and decision-making, the Director of Data Operations and Program Analytics will lead the Division's efforts to manage data, reporting, and performance analytics. This role will be responsible for developing tools, spreadsheets, and systems to track progress, as well as producing reports, presentations, and insights that drive decision-making and strengthen community impact. Some specific duties of the Director for Data Operations and Program Analytics will include:

• Develop, maintain, and optimize spreadsheets, databases, and tracking tools to support program management and performance monitoring.
• Analyze program and provider data to identify trends, opportunities, and areas for improvement.
• Generate reports and dashboards that provide actionable insights to leadership and stakeholders.
• Create and deliver PowerPoint presentations, data visualizations, and other materials to communicate findings effectively.
• Maintain accurate records of provider interactions, contracts, and agreements.
• Collaborate with internal and external partners to collect, verify, and analyze data.
• Support divisional initiatives, events, and neighborhood-based strategies with operational and data-related expertise.
• Recommend and implement process improvements to increase efficiency and effectiveness.
• Remain current on best practices in data analysis, reporting, and community program evaluation.
• Provide ad hoc analysis and project support as needed, leveraging Excel and other data tools.

Minimum Quality Requirements:

• A baccalaureate degree from an accredited college or university, accredited by regional, national, professional, or specialized agencies recognized as accrediting bodies by the U. S. Secretary of Education and by the Council for Higher Education Accreditation (CHEA) and four years of satisfactory, full-time community liaison, community organization or community relations experience, at least two years of which must have been in a broad administrative or policy-making capacity with responsibility for planning, organizing, coordinating, developing, evaluating, and/or administering a large community service program or activity; or
• A four-year high school diploma or its educational equivalent approved by a State's Department of Education, or a recognized accrediting organization and eight years of satisfactory, full-time experience as described in \"1\" above, at least two years of which must have been in a broad administrative or policy-making capacity with responsibilities as described in \"1\" above; or
• Education and/or experience equivalent to \"1\" or \"2\" above. Undergraduate education above the high school level may be substituted for the community liaison, community organization or community relations experience, but not for the two years of broad administrative or policy-making experience described in \"1\" above, at the rate of 30-semester credits from an accredited college or university (as described above) for each year of experience, up to a maximum of 4 years. Graduate education beyond the baccalaureate degree may be substituted for the community liaison, community organization, or community relations experience, but not for the two years of broad administrative or policy-making experience described in \"1\" above, based on 30 graduate credits from an accredited college or university (as described above) for each year of experience, up to a maximum of 2 years. However, all candidates must possess a four-year high school diploma or its educational equivalent approved by a State's Department of Education or a recognized accrediting organization and two years of full-time experience in a broad administrative or policy-making capacity with responsibilities as described in \"1\" above.

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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.

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

Project Manager – Data Center Construction

Top‑ranked ENR Electrical Contractor

Multiple U.S. Locations:

Columbus, Ohio - Cedar Rapids, Iowa - Port Washington, WI - Santa Teresa, NM - Sparks, NV.

Data Center Construction

For decades, our client has delivered some of the most complex, high‑profile electrical projects in the United States. Their Data Center Division builds mission‑critical facilities nationwide -installing and commissioning electrical systems that power millions of users every day. Their culture is defined by integrity, safety, innovation, and doing the right thing even when no one is watching.

Salary Range: $120,000–$160,000 base

Bonus: Eligible for annual performance bonus

(Compensation varies by market and experience, supported by a robust benefits program.)

The Position: Project Manager - Data Center

The successful applicant will assume responsibility for:

• Leading electrical data center construction projects from qualification through estimating, pre‑con, mobilization, execution, and closeout.
• Ensuring all project and contractual requirements are fulfilled safely, professionally, and within budget and schedule.
• Developing the project execution plan, and managing scheduling and coordination with the Superintendent and field teams.
• Identifying risks, analyzing issues, and implementing recovery action plans to protect schedule and budget.
• Managing full project financials: invoice approval, job cost tracking, productivity monitoring, variance reporting, and financial performance reviews.
• Negotiating change orders effectively to maintain scope clarity and profitability.
• Serving as the primary point of contact for customers, end‑user owners, and subcontractors; developing and maintaining strong external relationships.
• Sourcing and qualifying new project opportunities.
• Building and mentoring a high‑performance project team, ensuring employee development and long‑term growth.
• Exercising sound judgment within established policies; decisions directly influence schedules, outcomes, and project success.

The Candidate

Applicants will be expected to demonstrate:

• 5+ years of experience in electrical construction or related fields, including leadership of multi‑million‑dollar projects.
• 5+ years managing people and electrical construction projects across commercial, utility, alternative energy, or data center markets.
• Strong knowledge of estimating, cost accounting, scheduling, procurement, productivity tracking, and reporting.
• Experience working with union labor, labor rate structures, and collective bargaining agreements.
• A proven ability to lead teams, manage risk, influence stakeholders, and drive projects to successful completion.
• Education: High School Diploma or GED required; Bachelor’s in Construction Management, Engineering, Business, or similar preferred.
• Valid driver’s license and satisfactory driving record.
• Must be authorized to work in the U.S. (no sponsorship available).

The Company

Our client is a top‑ranked ENR electrical contractor known for:

• Delivering complex data center builds with excellence, safety, and integrity.
• Buildingmillion's of sq. ft. of mission‑critical data center space valued at over $2 Billion in electrical systems.
• A culture rooted in people-focused leadership, innovation, and long-term career development.

This is a place where employees have real impact, contribute to meaningful work, and grow their careers on challenging, high‑visibility projects.

Compensation & Benefits

• Competitive base salary: $120,000 - $160,000
• Annual performance bonus eligible
• Market‑adjusted compensation aligned with experience and credentials
• Comprehensive, robust benefits program (medical, dental, vision, etc.)
• Strong emphasis on employee development and advancement

Submit your resume along with a detailed project list showcasing your experience in Data Center Construction.

If you have questions, please get in touch on either:

Email:

Cell: (917) 7464831

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