Syniti Data Migration Training Jobs in Usa

The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support.

KEY RESPONSIBILITIES

• Developing and implementing data management strategies
• Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations.
• Lead a team of database and Power BI developers
• Leverage Data Modeling and AI tools
• Managing data quality and accuracy
• Overseeing data storage and retrieval
• Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions
• Determine budgeting for staff and resources
• Gathering and verifying requirements, conducting unit testing and troubleshooting
• Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs
• Mentoring and training direct reports
• Ensure all data warehouse and operating procedures are fully documented and maintained
• Create and Automate reporting to support daily operational functions
• Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives.
• Creating and presenting data visualizations
• Communicating business insights and project goals

QUALIFICATIONS AND EXPERIENCE

• Experience designing data management solutions for ecommerce, sales, accounting, and warehousing
• Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem.
• Background in data warehouse design (e.g. dimensional modeling) and data mining
• Proven experience as a SQL Developer or Data Scientist
• Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity
• Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies.
• Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts.
• Strong project management acumen
• Strong technical documentation skills
• Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts.
• Excellent written and oral communication skills; able to flex style based on the audience are required.
• Well-developed interpersonal skills
• Able to manage multiple tasks simultaneously.
• Highly self-motivated with ability to follow directed priorities.
• Keen attention to detail
• Team-oriented and collaborative leadership

EDUCATION REQUIREMENT

Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field.

BUSINESS HOURS

• Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume.
• On-call availability for resolving emergency issues from home.

Job Description

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Data Engineer Level 2

Location: Blue Ash, OH 45241

Duration: 6 months (Contractor)

Pay Rate: $55–$75/hr (W2)

Interview Process: In-person interviews required at Blue Ash, OH location.

Overview

Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset—collaborating on CI/CD, governance, and optimization for reliable, secure analytics.

Key Responsibilities

• Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.
• Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).
• Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Databricks SQL.
• Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.
• Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.
• Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.
• Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.

Requirements

• 5+ years as Data Engineer.
• Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.
• Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.
• Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).
• Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.
• Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).
• SDLC familiarity; ability to manage priorities independently.

know more about current opportunities at LeadStack , please visit us on Should you have any questions, feel free to call me on (513) 3184502 or send an email on

About Us:

Founded in 2011, IICOMBINED has launched the global fashion eyewear brand GENTLE MONSTER, followed by the perfume brand TAMBURINS, dessert brand NUDAKE and the headwear brand ATiiSSU. Driven by continuous innovation and challenges, IICOMBINED continues its growth by developing brands that exemplify unparalleled beauty and unpredictable progressions.

GENTLE MONSTER is a global fashion eyewear brand that sets eyewear trends worldwide through its unpredictable and innovative advancements.

With each annual collection, GENTLE MONSTER unveils distinctive and creative products, delivering brand value through diverse initiatives, including unique spaces and campaigns that embody experimental and sophisticated aesthetics.

TAMBURINS is a perfume brand that explores undefined territories of beauty.

TAMBURINS merges storytelling inspired by scattered scenes of the world with sophisticated and delicate perfumery techniques to capture the essence of true fragrance. TAMBURINS is a brand dedicated to sensory communication beyond customary experience through content that reinterprets various artistic elements, including objects, paintings, and performances, within a narrative-driven, exhibition-style space.

NUDAKE is an F&B brand that redefines dessert culture with its ‘Make New Fantasy’ ethos.

It creates novel desserts by integrating elements of fashion and art, transporting consumers to a new fantasy. By experimenting with and creating content that diverges from conventional processes and norms, NUDAKE delivers a message to consumers beyond the F&B experience.

ATiiSSU is a distinctive fashion headwear brand that presents timeless innovation through experimental design and its unique aesthetic worldview, changing the concept of category. “Timeless” represents classic details that transcend the passage of time, while “Issue” symbolizes innovative design that traverses the boundaries of fashion, ultimately redefining the fashion headwear category.

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Data Analyst, E-commerce Merchandising & Operations

We're looking for a sharp, Data Analyst, E-commerce Merchandising & Operations to join our team. This is a hands-on, detail-intensive role where you'll own the day-to-day operations across our U.S. and Canada official websites and TikTok Shop — from product listing optimization and sales data analysis to inventory management, order processing, and backend troubleshooting. You'll touch every step of the eCommerce workflow. The ideal candidate thrives in fast-paced, detail-heavy environments and brings strong analytical instincts, advanced Excel proficiency, and the drive to keep dozens of micro-level operations running smoothly at once.

What You'll Do

Visual Merchandising & Frontend Operations

• Set up and continuously optimize product listings, categories, filters, and sorting logic across our U.S. and Canada websites.
• Execute A/B tests on product placement and visual merchandising; measure impact on conversion, engagement, and time-on-site.
• Manage daily frontend operations across all digital sales channels — inventory adjustments, product rearrangements, pricing updates, and stock monitoring.
• Coordinate with internal teams on product launches, promotions, restocks, and visual merchandising to maximize consumer time spent on-site.
• Track website visitor behavior (abandoned carts, add-to-cart rates, page view duration) and recommend UX improvements based on findings.
• Monitor inventory levels using sell-through rates, order velocity, and return data to flag restock needs proactively.

Data Analysis & Reporting

• Pull, clean, and analyze raw data from multiple platforms (website, TikTok Shop, etc.) on a daily, weekly, and monthly basis using Excel and basic SQL.
• Build and maintain product performance reports — including sell-through rates, conversion metrics, and order volume trends — to support reordering, markdowns, and merchandising decisions.
• Collaborate with the Senior Merchandising Specialist to identify top- and underperforming styles by channel.
• Assess campaign-level sales trends at the product level and partner with Digital Marketing to refine product strategy.
• Work with the Senior E-commerce Merchandising & Operations Specialist to monitor online data systems and deliver strategic insights to HQ.

Backend Operations & Cross-Functional Communication

• Monitor daily operations and sales performance on TikTok Shop in coordination with our operations agency.
• Oversee product flow and availability — warehouse-to-site transfers, backend system updates, and inventory sync accuracy.
• Collaborate with SCM and 3PL teams to verify order status and proactively follow up on delayed or missing shipments.
• Communicate with Accounting to resolve invoicing, refund, and payment issues impacting order processing.
• Partner with Customer Service on escalated inquiries regarding order status, returns, exchanges, and product issues.
• Identify and escalate discrepancies between warehouse stock and system data; lead resolution efforts.
• Report technical errors or sync failures to HQ and maintain clear communication across all internal teams.

What We're Looking For

• Bachelor's or Master's degree in Business, Marketing, Merchandising, Data Analytics, Statistics, Mathematics, Economics, or a related field preferred.
• At least 1 year of experience in eCommerce operations, Data Analytics, merchandising, retail analytics, or a related field.
• Strong Excel/Google Sheets proficiency — you're comfortable building reports, using pivot tables, VLOOKUP, and working with large datasets daily.
• Basic SQL knowledge for pulling and querying data; familiarity with eCommerce analytics tools is a plus.
• A detail-oriented mindset with the ability to manage many small, recurring tasks without letting things slip.
• Analytical thinker who can translate raw numbers into actionable insights.
• Strong organizational and communication skills — you'll be coordinating across multiple teams and platforms simultaneously.
• Familiarity with Shopify, TikTok Shop, or similar eCommerce platforms is a plus.

Job Type: Full-Time (ONSITE)

Pay Range: $70,000 - $80,000 per year

Benefits:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Paid Time Off

Benefits found in job post

Medical insurance, Dental insurance, Vision insurance

Role Summary

The Director/Sr Director, Enterprise Data, Analytics & Integrations owns the enterprise data and reporting strategy for a large, distributed retail footprint (~900 locations). This leader is accountable for modernizing and operating the end-to-end analytics ecosystem—from ingestion and integration through semantic modeling, governance, and executive reporting—while partnering deeply with business stakeholders to drive measurable outcomes (sales, margin, inventory productivity, labor efficiency, customer experience).

This role builds and scales a pragmatic operating model (often a BI/Analytics “Center of Excellence” approach) to ensure consistent metrics, trustworthy data, disciplined governance, and high adoption across the organization.

Key Responsibilities

Enterprise Data & Reporting Strategy

• Define and execute a multi-year enterprise data and reporting strategy aligned to corporate and retail operating priorities (store ops, merchandising, supply chain, finance, digital/eComm).
• Establish a single source of truth for KPIs and retail performance management (enterprise metric definitions, hierarchies, dimensional models, semantic layers).
• Build a roadmap for self-service analytics that balances empowerment with governance, standardization, and security (COE patterns, standards, training, adoption).

Retail Analytics Platform Ownership (Oracle Retail Insights + Power BI + Fabric)

• Lead the functional and technical ownership of Oracle Retail Insights as a core retail BI/warehouse capability, including data sourcing, transformations, and retail-ready reporting content.
• Own enterprise reporting and visualization strategy in Power BI, including dataset design, semantic models, performance tuning, governance, and release management.
• Drive the adoption and operationalization of Microsoft Fabric (OneLake/lakehouse patterns, ingestion, transformation, warehousing, real-time/stream needs where applicable) to modernize data workflows end-to-end.

Integrations & Data Movement (Oracle Katalist and broader ecosystem)

• Own integration strategy and execution to connect retail applications, legacy systems, and cloud platforms—ensuring scalable, supportable interfaces and high-quality data synchronization.
• Establish integration standards (API strategy, event vs. batch patterns, SLAs, monitoring/alerting, incident response) and ensure resilience for store-critical and enterprise-critical feeds.
• Partner with application owners and vendors to prioritize integration backlog and deliver at retail speed (testing discipline, cutover planning, rollout across 900 locations).

Data Governance, Quality, Security, and Compliance

• Stand up data governance practices: data ownership, stewardship, data quality rules, lineage, controlled metric definitions, and change control.
• Ensure appropriate security and privacy controls (role-based access, sensitivity labels where used, auditability), especially for customer/loyalty and employee-related data.

Business Partnership & Value Realization

• Serve as a strategic partner to senior business leaders—translating business goals into analytics products and integration capabilities.
• Build a cadence of value measurement (adoption, time-to-insight, KPI improvements, reduced manual effort) and communicate progress through executive-ready dashboards and narratives.
• Lead prioritization across competing demands with a clear “enterprise first” lens.

Vendor / MSP Management and Financial Stewardship

• Manage systems integrators/MSPs delivering data engineering, BI development, and integration services—ensuring quality, velocity, security, and cost control.
• Own budgets and vendor contracts; establish outcome-based SLAs, performance scorecards, and governance routines.

Required Qualifications

• 10+ years in enterprise data/analytics and/or integration leadership, with 5+ years managing teams and/or MSP/SI delivery.
• Demonstrated success building enterprise reporting strategy, KPI governance, and scalable analytics operating models (COE-style governance, enablement, and standards).
• Hands-on leadership experience with modern analytics stacks, including:
• Power BI (semantic modeling, governance, tenant/workspace standards, enterprise rollout)
• Microsoft Fabric (end-to-end analytics workflows across ingestion, transformation, warehousing/lakehouse, and reporting)
• Oracle Retail Insights (retail analytics/BI, data sourcing, retail hierarchies/metrics, operational reporting)
• Strong integration leadership: API-based integrations, ETL/ELT patterns, orchestration, monitoring, and SLAs.
• Proven ability to influence and partner across business and technology (merchandising, store ops, supply chain, finance, digital).
• Experience operating in a multi-site retail environment (hundreds of stores/locations strongly preferred).

Preferred Qualifications

• Experience with Oracle retail ecosystem components and retail data models (merchandise, inventory, pricing, promotions, loyalty/customer).
• Experience implementing or scaling a data governance program (catalog/lineage, DQ rules, stewardship).
• Familiarity with low-code or orchestration integration platforms (including Katalist capabilities where applicable).
• Background in product management for data/analytics (roadmaps, backlogs, adoption).

Leadership Attributes / Competencies

• Retail-first mindset: understands store operations realities, field adoption, and the need for reliable daily metrics.
• Operating model builder: establishes standards, governance, and enablement that scale across functions and geographies.
• Execution + strategy: can set a vision and deliver tangible value iteratively.
• Vendor leadership: drives outcomes with MSPs/SIs through disciplined governance and measurable performance.
• Data trust champion: relentlessly improves data quality, reliability, and clarity of definitions.

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.

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

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

• Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
• Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
• Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
• Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
• Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
• Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
• Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

• Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
• Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
• Review and approve reporting change requests, data model modifications, and access requests.
• Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
• Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

• Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
• Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
• Build and govern the centralized semantic model that powers reporting across the company.
• Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
• Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

• Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
• Communicate complex architectural concepts in clear, business-friendly terms.
• Lead cross-functional initiatives that require unified data structures or scalable reporting.
• Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

• Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
• Track record of establishing and enforcing enterprise reporting standards and governance.
• Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
• Able to operate as both an individual contributor and a strategic leader.
• Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
• Comfortable influencing architectural decisions and guiding technical execution.
• Strong command of foundational tools and languages such as:
• DAX
• Power Query / M
• SQL
• Fabric pipelines / ETL tooling
• Experience with automation and AI-assisted analytics workflows.

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

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We'll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

We are looking for a Data Analyst to join our team and deliver valuable customer experiences. Our analysts are team-oriented, collaborative, and focus on delivering value in everything we do. We use agile methods to analyze, define and document business requirements for software solutions which align with organizational goals and help our clients achieve their desired outcomes. We support our clients in their digital product needs – from vision to roadmap to execution.

Responsibilities

• Develop thorough understanding of the business context and objectives by, among other things, eliciting and analyzing requirements from all relevant stakeholders (business users, data engineers, data scientists, and similar).
• Able to operationalize business questions using data.
• Demonstrate understanding of relational databases, data architecture, and data modeling.
• Capable of building complex SQL statements to answer business questions.
• Experience designing conceptual data models/ entity relationship diagrams/ business process models.
• Able to transform and cleanse data using tools such as R, SQL, or Python.
• Able to interpret, understand, and explain data to clients.
• Basic knowledge of dashboard management and creation (drag and drop) for storytelling of regular information reports and ad-hoc requests.
• Build trust and respect, establish relationships, and develop rapport with technical and non-technical team members.
• Experience documenting Data Analysis processes and outcomes.
• Industry or subject matter expertise (e.g., finance, employment, hospitality, web analytics).

Qualifications

• B.A. or B.S. (focus in Computer Information Systems, Business Management, Engineering, or related area of study is a plus)
• Ability to obtain and maintain a Top Secret (TS) clearance and a Public Trust clearance is required.
• 3+ years’ experience in IT or related industry
• Prior consulting or client management experience preferred
• Intermediate/Advanced SQL skills
• Experience working with Data Visualization tools such as Tableau or Power BI
• Preferred experience with cloud analytics products such as Google Cloud, AWS, or Microsoft Azure
• Preferred knowledge of statistics and experience using statistical packages for analyzing datasets
• Strong analytical aptitude and ability to structure complex or undefined business problems
• Strong verbal and written communication skills; able to report and present findings to varying stakeholders
• Hands-on experience using tools to help clients make data-driven decisions
• Knowledge and practice of core Agile values and principles a plus
• Initiative to learn new strategies and trends to continue to educate self analytically, technically, and technologically
• Intermediate experience with Microsoft Excel and Power Point
• Understanding of DevOps Research and Assessment (DORA) and the capabilities within the DORA capability catalog is encouraged

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact or 7

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