Stack Using Array Definition In Data Structure Jobs Near, ME Jobs in Usa

• Growth opportunities to uplevel your career
• A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
• Competitive compensation and comprehensive benefits focused on well-being
• An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.

• Analyze, tag, identify data assets and systems through data discovery and analysis of high-level business processes. The Data Analyst will have deep data management skills and will be comfortable querying a variety of platforms using new languages and methods.
• Sort through uncertain raw data to extract useful elements and collections.
• Work with data architects, data engineers, data modelers and reporting users.

• Work as part of the data services team on large programs, governing and shaping the delivery of data products and services.
• Elicit and document our internal customers' business requirements, identifying the sources and transformations that are correctly modeled to apply to MVP's data assets to achieve the expected results and serve our users. Maintain user stories, acceptance criteria, metrics definitions, source to target mappings, and semantic layer specifications.
• Comfortably work with and define internal lakehouse data pipelines and workflows across our medallion architecture, as well as working externally with vendors to achieve third party data integrations that both ingress and egress from MVP's data ecosystems.
• Ensure the end-to-end solution is fit for purpose, meets the needs of business, the agreed requirements, and are both pragmatic and supportive of the strategic architecture direction.

• Partner with governance teams and business stewards who maintain business definitions, policies, and stewardship workflows. You are a tactical team member who brings subject expertise to your accountable data domains.
• Maintain domain technical glossaries for the bronze and silver tiers, including field definitions, lineage, and transformation logic.
• Collaborate with development teams working with other areas to ensure that all data solutions are complete, operable, conform to appropriate domain business processes, and meet the business needs with the agreed quality of service.
• Ensure that metrics and monitoring of our core data domains are in place and maintained as part of our data requirements efforts.

• Bachelor's degree in a quantitative technical, or business field (e.g. computer science, data science, engineering, finance, statistics) or equivalent practical experience.

• 1-3 years' experience working in data analysis, data management, business intelligence, ore a related quantitative role.

• Demonstratable knowledge of data management, data integration, and database development techniques.
• Experience or familiarity with Databricks, SQL Server, and Azure cloud computing.
• Experience with database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Spark).
• Experience with ETL concepts and other tools like SQL, Python, Informatica Power Center or IDMC, SSIS/SSRS, etc ...
• Experience with business intelligence and reporting technologies like PowerBI, Tableau, Qlik, or Databricks AI/BI.

• Experience collaborating on reference architecture, principles, and standards.
• Experience with delivery of data solutions and SDLC processes.
• Experience or knowledge of the data requirements for health insurance industry.
• Proven experience in Data Management planning, organization, and development.
• Familiarity with Data Warehouse or Lakehouse concepts.

• Familiarity with data governance tools and processes like Informatica CDGC, Unity Catalog, or other industry governance tools.
• Time spent with entity relationship modeling, metadata systems, data quality tools and techniques.

Electrical Engineer - Data Centers - San Francisco

Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division.

This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client.

Responsibilities:

• Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements.
• Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders.
• Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure.
• Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects.
• Conducting technical due diligence and maintaining quality standards in line with client expectations.
• Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned.
• Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities.
• Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams.

Background Required

• Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage.
• At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically.
• Confident in power systems analysis and the software tools that come with it.
• Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations.
• Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed.
• Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.

This is a full-time position that requires onsite presence in Des Moines, Iowa. Candidates must be authorized to work in the United States without sponsorship now or in the future.

P3+Uplift is partnering with a local insurance company to find a SQL-driven Data Analyst who enjoys working directly with business stakeholders to turn data questions into clear insights and reporting. This role is highly hands-on with SQL and data extraction, working across multiple data sources to support reporting, analysis, and data-driven decision making. The ideal candidate is both analytical and consultative—able to understand business needs, write efficient queries, and deliver clear, actionable insights.

The company offers a flexible schedule, hybrid work environment, casual dress code, and a collaborative culture, plus a comprehensive benefits package.

Key Responsibilities

• Write and optimize SQL queries to pull and analyze data from multiple sources.
• Partner with business teams to clarify questions, define metrics, and deliver actionable insights.
• Build and maintain interactive reports and dashboards to support decision-making (Power BI preferred).
• Ensure data accuracy through validation, cleansing, and reconciliation.
• Document data sources, definitions, and analysis logic to create repeatable, reliable reporting processes.
• Identify opportunities to streamline data workflows, improve automation, and enhance reporting efficiency.
• Communicate findings and trends in clear, business-friendly language to stakeholders.
• Contribute to ad-hoc analysis projects, providing insights to guide business strategy.

5+ years experience:

• Strong SQL experience required with the ability to query and analyze large datasets.
• Experience working with data structures, relational databases, and multiple data sources.
• Experience with data validation, cleansing, and quality assurance.
• Experience with Power BI or other data visualization tools preferred.
• Ability to translate complex data into clear, business-friendly insights.
• Strong communication skills and a consultative approach with stakeholders.

Education: Bachelor’s degree in Business, Analytics, Statistics, or a related field, or equivalent experience

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.

Responsibilities

• Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
• Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
• Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
• API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
• Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
• Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.

What You Will NOT Do (The Boundaries)

• No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
• No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
• No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.

Intersection with Technical Teams

• With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
• With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.

Experience, Skills, & Ability Requirements

• 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
• SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
• API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
• Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
• You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
• You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.

Bonus Points (Nice-to-Haves)

• Familiarity with Visio/Lucidchart to visualize data flows.
• Ability to build simple dashboards in Tableau to track data health scores.
• Basic familiarity with Python or R for data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+

Rate : $55/Hr on W2 Max

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Stephen

Lead Talent Acquisition Specialist

Email :

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• Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation.
  
• Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx.
  
• Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices.
  
• Implement best practices for data modeling, ETL/ELT processes, and automation.
  
• Own and maintain the Snowflake data warehouse roadmap and engineering standards.
  
• Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions.
  
• Ensure data integrity, security, and compliance across all engineering solutions.
  
• Collaborate with IT and rest of data teams to align solutions with enterprise
  
• Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture.
  
• Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.
  

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• Bachelor's degree in Computer Science, Data Engineering, Data Analytics or related field.
  
• 7+ years in data engineering or related data roles required.
  
• 3+ years in leadership or management positions required.
  
• Strong technical expertise in Snowflake, DBT, Azure Data Factory and SQL or like systems.
  
• Familiarity with Alteryx, UiPath, Tableau, Power BI and Salesforce is preferred.
  
• Ability to design and implement scalable data solutions.
  
• Excellent leadership, communication, and organizational skills
  
• Ability to balance hands-on development with team development.
  
• Must be able to work fully in-office. This position does not allow for remote work.
  

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• Medical, Dental, Vision, & Life Insurance
  
• 401(k) with a company match
  
• PT0 & 11 1/2 Paid Holidays
  

• At least 3-year experience as architect for large scale cloud data projects involving minimum 3 technological tracks as mentioned above in hyper scaler platforms.
• Minimum 6 years' expertise in data and analytics area.
• Deep understanding of databases and analytical technologies in the industry including MPP and NoSQL databases, Data Lake, Data Warehouse design, BI reporting and Dashboard development.
• Experience of Data architecture, data governance, data quality standards, and data security practices in at least 2 implementations.
• Experience in customer data models and developing KPIs out of customer data.
• Experience in customer facing roles to provide Solutions for Data use cases.
• Certification in the Cloud based data stack.
• Experience in deployment of a large distributed Big Data Application
• Track record of thought leadership and innovation around Big Data. Solid understanding of Data landscape and related emerging technology.

Technical skills needed:

• Languages – Java, Python, Scala
• AWS – S3, EMR, Glue, Redshift, Athena, Lamda
• Azure – Blob, ADLS, ADF, Synapse, PowerBI
• Google Cloud – Bigquery, DataProc, Looker
• Snowflake
• Databricks
• CDH - Hive, Spark, HDFS, Kafka CDH etc.
• ETL – Informatica/DBT/Mattilion,

Roles & Responsibilities:

• Architect and Design Sales and Marketing data initiatives, demonstrate data architectural knowledge, customer management and innovation
• Delivery of customer Cloud data Strategies for Marketing, aligned with customer's business objectives and with a focus on Cloud Migrations
• Provide leadership in platform migration methodologies and techniques including governance frameworks, guidelines, and best practices.
• Build point of views, thought leadership, solutions for proposals, competency development and mentoring etc.
• Solution Design experience on Data Lake, Data Warehouse, BI, Data Mart and Analytics systems
• Delivery of customer Cloud Strategies, aligned with customer's business objectives and with a focus on Cloud Migration.

Position Summary

The Senior Data Scientist will serve as a technical lead in the development of advanced analytical solutions. This role uniquely combines Generative AI innovation with Six Sigma operational rigor to drive measurable improvements across Spectrum’s network and customer ecosystems. You will not only build models but also optimize the processes they inhabit to ensure maximum ROI and statistical stability.

Key Responsibilities

• Generative AI Strategy: Lead the research and implementation of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to automate complex business workflows and enhance internal knowledge management systems.
• Operational Excellence (Black Belt): Apply DMAIC (Define, Measure, Analyze, Improve, Control) methodology to the data science lifecycle. Identify root causes of operational inefficiencies and deploy AI solutions to mitigate them.
• Advanced Modeling: Build, validate, and deploy high-impact predictive models (Churn, CLV, Propensity) using Python, PyTorch, and Scikit-learn.
• Process Optimization: Utilize Black Belt principles to reduce "waste" in data pipelines, improving model training speed and inference efficiency within Databricks/AWS.
• Stakeholder Storytelling: Act as a bridge between technical AI labs and executive leadership, translating complex neural network outputs into Six Sigma-validated business cases.

Required Technical Skills

• GenAI Stack: Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models.
• Data Engineering: Expert-level SQL and PySpark for grooming large-scale datasets.
• Statistical Control: Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance.
• MLOps: Proficiency in versioning and deploying models in cloud environments (Azure/AWS).

Education & Certifications

• Education: Master’s or PhD in a quantitative field (Statistics, CS, Engineering).
• Certification: Lean Six Sigma Black Belt or Six Sigma Black Belt(

Experience: 5-7+ years of experience in a data-driven environment with a proven track record of leading AI initiatives

As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.

Your Primary Responsibilities may include:

• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.

• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.

• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.

• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.

• Influence and contribute to strategic improvements to data assessment processes and analytical tools.

• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.

• Subject matter expertise on multiple platforms.

• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.

Qualifications include:

• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.

• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.

• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.

• 5+ years of Data Quality Management experience.

• Strong familiarity with data architecture and/or data modeling concepts

• 5+ years of experience with Agile or SAFe project methodologies

• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.

• Preferred: Experience in Travel Industry.

• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology

Leadership Skills may include:

• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.

• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.

• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.

• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.