Data Migration Best Practices Jobs in Usa

Title : Data QA Engineer

Location: Minneapolis , Dallas , Atlanta (Onsite)

Job Type : Contract

Exp : 8-15 Years

Key Responsibilities:

• Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.
• Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.
• Implement data quality checks and monitoring within Azure-based data platforms.
• Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.
• Integrate data quality validations into CI/CD pipelines and support proactive issue detection.
• Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.
• Define and enforce data quality standards, metrics, and SLAs.

Required Skills & Qualifications:

• Strong experience (8–15 years) in data engineering, data quality, or data automation roles.
• Hands-on expertise with Azure data ecosystem and Databricks.
• Strong programming skills in Python and SQL.
• Experience building automated data validation and reconciliation frameworks.
• Solid understanding of data warehousing, data lakes, and distributed data processing.
• Familiarity with DevOps/CI-CD practices for data platforms.

Preferred Skills:

• Experience with data observability or data quality tools.
• Exposure to cloud-scale analytics and performance optimization.
• Strong communication and stakeholder management skills.

Title: Senior Data Analyst

Duration: Long term

Location: Dallas , TX

Job Description:

Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills.

Responsibilities

• Investigate and Analyze data anomalies and data issues reported by Business
• Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly
• Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations
• Assist in break fix and production validation as it relates to data derivations, replication and structures
• Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools
• Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage
• Gather information from various Sources and interpret Patterns and Trends
• Ability to work in a team-oriented, fast-paced agile environment managing multiple
• priorities

Qualifications

• 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases
• 4+ years of experience working with Exadata and SQL Server databases
• 4+ years in a Data Analyst role
• Strong attention to Detail
• 2+ years writing medium to complex stored procedures a plus
• Ability to collaborate effectively and work as part of a team
• Extensive background in writing complex queries
• Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking
• Good Communication skills
• Self-Motivated
• Works well in a team environment
• Denodo Experience a plus
• Master Data Management a plus
• Big Data Experience a plus (Hadoop, MongoDB)
• Postgres and Cloud Experience a plus

SUMMARY/OBJECTIVE

The Retail Operations Analyst plays a critical role in advancing operational excellence across the global retail organization. This position is responsible for the development, governance, and continuous enhancement of retail reporting, compliance oversight, and advanced data analytics that drive informed decision-making and protect brand integrity.

Serving as a strategic partner to Retail Operations, IT, Merchandising, Planning, Finance, Brand Protection, and Store Leadership, this role delivers accurate, actionable insights and scalable reporting solutions that optimize performance, reinforce brand standards, and elevate the client experience.

This position requires the highest level of discretion and integrity in handling confidential business, client, and transactional data.

ESSENTIAL FUNCTIONS

Compliance & Risk Reporting

• Develop, maintain, and distribute comprehensive compliance reporting frameworks to ensure adherence to internal policies, operational procedures, and brand standards.
• Monitor key compliance indicators across global retail locations; proactively identify trends, risks, and operational gaps.
• Partner cross-functionally to support audits, internal reviews, and compliance investigations with accurate, well-documented reporting.
• Establish reporting controls and validation processes to ensure data accuracy, reliability, and audit readiness.
• Escalate material findings and risk indicators to appropriate leadership in a timely and professional manner.

Retail Performance Reporting & Analytics

• Design and manage reporting tools and dashboards that support store teams and retail leadership in daily operations and decision-making.
• Translate operational needs into clear, user-friendly reporting while ensuring data accuracy, scalability, and alignment with business priorities.
• Partner with retail teams to review business performance, provide insights, and share key findings with cross-functional partners as needed.
• Provide training, guidance, and ad hoc reporting to support evolving retail and leadership needs.

Investigative Reporting & Brand Protection Analytics

• Leverage transactional and client-level data to identify purchasing patterns indicative of reseller activity or behaviors inconsistent with brand standards.
• Analyze cross-store sales data and client purchase histories to detect trends, anomalies, and high-risk activity.
• Develop and maintain investigative dashboards and monitoring tools to proactively flag high-risk transactions.
• Translate investigative findings into clear, data-driven recommendations while partnering with Retail Operations and Brand Protection to support informed business decisions.
• Balance risk mitigation efforts with a commitment to maintaining a premium client experience.

Client Reporting Tools Management

• Manage and optimize client reporting platforms that support clienteling, retention strategies, and business planning.
• Ensure integrity, consistency, and accuracy of client data across systems and reporting environments.
• Collaborate with IT and business partners to enhance reporting functionality and improve data accessibility.
• Support merchandising, planning, and strategic initiatives by providing meaningful client insights and trend analysis.
• Maintain clear documentation of reporting logic, definitions, and governance standards.

Confidentiality & Data Protection

• Exercise the highest level of discretion when handling sensitive business information, including sales data, client information, investigative findings, and compliance-related materials.
• Ensure strict adherence to company confidentiality policies, data privacy regulations, and information security protocols.
• Limit access to sensitive data on a need-to-know basis and safeguard reporting outputs from unauthorized distribution.
• Maintain confidentiality during investigations and compliance reviews, protecting both client information and internal business intelligence.
• Immediately escalate potential data breaches or unauthorized disclosures in accordance with company policy.
• Serve as a steward of data integrity and ethical reporting practices across the retail organization.

QUALIFICATIONS

• 3–5 years of experience in retail operations, business analysis, or data analytics (luxury retail experience strongly preferred).
• Strong understanding of retail operations, store workflows, and reporting needs.
• Advanced Excel skills required (pivot tables, complex formulas, lookups, data validation, logical functions; Power Query or similar tools preferred).
• Demonstrated ability to analyze large data sets and identify meaningful business insights.
• Experience creating reporting frameworks and dashboards for non-technical audiences.
• Strong investigative mindset with excellent attention to detail.
• Industry awareness and strong business acumen; goal oriented with a sense of urgency and follow through
• Excellent interpersonal skills and the ability to communicate effective, both verbally and written, with all levels of management
• Exceptional organizational skills
• Problem-solving aptitude

BENEFITS

• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

ADDITIONAL INFORMATION

Chrome Hearts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The salary range for this role is:

75,000 - 80,000 USD per year (Hollywood, CA)

*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).

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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:

Location:

Support Center - Irving

The Manager – Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.

Major Activities

• Strategic Thought Leadership
• Design and execute analytics projects to quantify impact from various marketing campaigns
• Work with business partners to identify the challenges that needs to be quantified
• Act as subject matter expert for all projects in which involved

Data Analytics

• Mine extensive database in support of business insights and measurement
• Develop well-thought, actionable insights using advanced analytics techniques
• Determine best approach for each analysis and articulate pros/cons of methodology
• Ensure quality of data used in analysis and all presentation material
• Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
• Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships

• Manage internal client relationships and serve as the SME for analytics within the CRM function
• Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
• Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
• Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Staff Management & Development

• Manage a team of data scientists
• Mentor analysts regarding analytics best practices, methodologies, and programming techniques
• Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned

Minimum Knowledge/Skills/Abilities

Minimum Education

• Bachelor’s degree in relevant quantitative field required, Master’s preferred

Minimum Special Certifications or technical skills

• Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
• Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires

• A minimum of 5 years of relevant work experience in data science for a consumer centric company
• Proven experience partnering with business decision makers on advanced analytics topics
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other

• Work as a self-starter, not waiting for direction from senior leadership

Preferred Education

• Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at and . The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.

Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-8 MICHAEL).

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**Direct Hire***

• Title: Digital Technology Data Scientist Lead

• 2 positions

• Start Date: asap

• Compensation Range: $139,800.00/year, up to 10% bonus

• Location: Oshkosh, WI strongly preferred. New Hudson, MI site will also be considered. (3 days in office, up to 2 days remote).

• Relocation offered to Oshkosh, WI, but not to New Hudson, MI.

• Travel: minimum travel (1-2 times per year to other sites)

• US Citizen or Green Card Holder

• Interview process: Screening interview with internal recruiter, after an assessment, an interview with the hiring manager and director, then a panel interview (onsite possible if local to Oshkosh).

**Must have on resume and be able to discuss during interview process**

• Required technical skills (see below in JD)

• Strong business experience working with business counterparts.

• Effectively being able to gather business requirements, build a solution, communicate it to the client.

• Exceptional communication skills.

• Be able to tell a story with data.

• Must be able to describe how their experience impacted the business, the solution they built.

• An understanding that they are working in a bigger environment; must have a center of excellence outlook, be comfortable with mingling with counter business parts and have strong social skills. This is not a "put your head down and work" role.

• Experience from manufacturing, automotive, industrial, or engineering industry is preferred, but is open to other industries like healthcare, retail, or biotech for example.

Heavy financial industry experience should be avoided.

• Supply chain functions experience is important

• B.S. with 5 years of experience

• M.S. with 3 years of experience

• The team is not looking for director level candidates or talent only looking for management roles. This is an individual contributor role.

Job Description:

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.

SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.

YOUR IMPACT:

• Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.

• Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns.

• Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.

• Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.

• Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products.

• Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. • Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.

• Coach and mentor other team members on new technologies and best practices across data science and business intelligence.

• Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. • Actively supports the advancement of the strategic roadmap for data science.

MINIMUM QUALIFICATIONS:

• Bachelors degree with five (5) or more years of experience in the field or in a related area.

STANDOUT QUALIFICATIONS:

• Masters or doctorate degree

• Expertise in Power Platforms

• Familiarity with LLM (open source or closed)

• Experience in Front end web app development (Flaskapp, Gradio etc)

• Familiarity with RAG architecture

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.

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Manufacturing Data & Sales Analyst to join their team. Seeking a data-driven analytics professional who thrives at the intersection of manufacturing operations, business intelligence, and executive decision support. This is a high-impact role for someone who enjoys building insight from the ground up—designing dashboards, automating reporting, owning data integrity, and translating complex information into clear, actionable business outcomes.

Why This Role Stands Out:

• High visibility and direct partnership with senior leadership.
• Opportunity to own and evolve enterprise-level analytics and reporting.
• Manufacturing environment where data truly drives strategy.
• Long-term growth potential in a stable, well-capitalized organization.

Key Responsibilities:

Data, Analytics & Reporting:

• Design, build, and continuously enhance dashboards, scorecards, and KPI reporting to support operational and commercial performance.
• Translate raw data into meaningful insights that influence decision-making at the executive level.
• Automate recurring reports and analytics processes to improve efficiency, accuracy, and scalability.
• Analyze trends related to revenue, production performance, forecasting, and product initiatives.

Manufacturing & Cross-Functional Partnership:

• Collaborate closely with Operations, Finance, IT, and Commercial teams to align data, metrics, and performance goals.
• Support forecasting, planning cycles, and performance reviews with reliable, actionable analytics.
• Identify risks, opportunities, and performance gaps within data sets and recommend solutions.

Systems & Data Ownership:

• Act as the primary owner of manufacturing and sales-related data systems, ensuring usability, accuracy, and value.
• Lead continuous improvement of reporting tools and system integrations.
• Partner with internal and external stakeholders to enhance system reporting capabilities.
• Champion data governance, consistency, and best practices across the organization.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Analytics, Business Intelligence, or a related field
• Proven experience building and maintaining dashboards, scorecards, and analytics tools.
• Background supporting a manufacturing environment.
• Strong ability to own data end-to-end—from extraction to interpretation to executive presentation.
• Experience automating reporting and analytics processes.
• Advanced analytical, problem-solving, and critical-thinking skills.
• Ability to clearly communicate insights to both technical and non-technical audiences.
• Advanced proficiency with Excel, reporting platforms, and Microsoft Office Suite.
• Advanced proficiency in SQL, PowerBI, and/or Tableau.
• Experience with IQMS is preferred.
• Strategic mindset with exceptional attention to detail.

Compensation Range: $90,000 - $120,000 + 15% Bonus

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Manufacturing Data & Sales Analystlooking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

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