data analytics developer

Mellott Company

<div><div><b>Power BI Developer / Data Analyst</b></div><div>
Full-Time or Freelance | Hybrid or Remote | Warfordsburg, PA</div><div><h1 class="jobSectionHeader"><b>
Role Summary</b></h1></div><div>
We are seeking an experienced Power BI Developer / Data Analyst to design, build, and maintain enterprise-grade Power BI reports and dashboards. The ideal candidate has hands-on experience connecting Power BI to Oracle or other on-premises databases, a strong command of DAX, and the ability to translate complex operational data into clear, actionable visualizations for both executive and operational audiences.</div><div>
This role works closely with the Director of IT and business stakeholders to prioritize and deliver reporting across Sales, Operations, Finance, and Executive dashboards.</div><div></div><div><h1 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h1></div><div><ul><li>
Design and develop Power BI reports, dashboards, and datasets meeting business and executive requirements</li><li>
Connect Power BI to on-premises Oracle 19c (via on-premises data gateway) and other data sources including M365 and Azure</li><li>
Write optimized DAX measures, calculated columns, and complex time-intelligence formulas</li><li>
Build and maintain Power BI dataflows, datasets, and scheduled refresh pipelines</li><li>
Collaborate with the Director of IS and department heads to gather requirements and iterate on deliverables</li><li>
Ensure report performance, data accuracy, and consistent visual standards across the BI environment</li><li>
Document data models, measures, and report logic for maintainability</li><li>
Support row-level security (RLS) configuration and workspace/app publishing in Power BI Service</li><li>
Assist in data governance decisions as needed</li></ul></div><div></div><div><h1 class="jobSectionHeader"><b><br>
Required Qualifications</b></h1></div><h2 class="jobSectionHeader"><b>
Technical Skills</b></h2><div><ul><li>
3+ years of hands-on Power BI development experience (reports, datasets, dataflows, service)</li><li>
Expert-level DAX &mdash; time intelligence, CALCULATE, iterators, measures vs. calculated columns</li><li>
Strong Power Query / M language for data transformation</li><li>
Experience connecting Power BI to Oracle SQL and other data sources such as data lakes</li><li>
Solid understanding of data modeling: star schema, relationships, cardinality</li><li>
Experience publishing and managing reports in Power BI Service (workspaces, apps, RLS)</li><li>
Comfortable working with source control, GitHub, pbip files</li></ul></div><div></div><h2 class="jobSectionHeader"><b><br>
Soft Skills &amp; Working Style</b></h2><div><ul><li>
Ability to translate ambiguous business requirements into clean, intuitive visualizations</li><li>
Strong attention to detail &mdash; accurate data and reliable refresh schedules are non-negotiable</li><li>
Self-directed and comfortable working independently in a lean IS environment</li><li>
Good written communication for documentation and async stakeholder updates</li><li>
Able to give clear timelines of deliverables</li></ul></div><div></div><div><h1 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h1></div><div><ul><li>
Experience with IFS ERP (any version) or similar industrial ERP systems</li><li>
Familiarity with SQL &mdash; particularly Oracle SQL &mdash; for query optimization and data validation</li><li>
Microsoft Fabric or Power BI Premium / Fabric capacity experience</li><li>
Power BI embedded analytics or paginated reports (SSRS/RDL)</li><li>
Experience supporting industrial companies</li><li>
Microsoft PL-300 (Power BI Data Analyst) certification</li></ul></div></div>

Power BI Developer/Data Analyst

Louisiana State University

<div><h2 class="jobSectionHeader"><b>All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).</b></h2><p></p><h2 class="jobSectionHeader"><b>
If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through &ldquo;My Draft Applications&rdquo; located on your Candidate Home page.</b></h2><p></p><h2 class="jobSectionHeader"><b>
Job Posting Title:</b></h2>
BI Developer and Data Analyst 1<p><br>
</p><h2 class="jobSectionHeader"><b>Position Type:</b></h2>
Professional / Unclassified<p><br>
</p><h2 class="jobSectionHeader"><b>Department:</b></h2>
LSUAM FA - ITS - DA - PS - Business Intelligence (Anthony Joseph Alfonso (00012319))<p><br>
</p><h2 class="jobSectionHeader"><b>Work Location:</b></h2>
0202 Fred C. Frey Computing Services Building<p><br>
</p><h2 class="jobSectionHeader"><b>Pay Grade:</b></h2>
Professional<p><br>
</p><h2 class="jobSectionHeader"><b>Job Description:</b></h2><p>
Data warehouse design and configuration for mission-critical enterprise data warehouse and reporting needs. Provides support for data warehouses. Responsible for coding and documenting procedures and for programming, testing, and debugging data warehouses. Familiar with concepts, practices, and procedures. Relies on experience and judgement to plan and accomplish goals. Performs a variety of tasks. A certain degree of creativity and latitude is expected. All Information Technology Services employees are expected to demonstrate a commitment to exemplary customer service in all facets of their work.</p><p></p><div><p><b>
Job Responsibilities:</b></p><p></p><p>
Data Analysis, Query, Report Writing: Work with IT personnel, central administrative staff, and end users to conduct data analysis and validation, perform ad-hoc queries, and to design, develop, and maintain reports and related reporting programming artifacts. Follow programming design principles and best practices. Comply with software quality assurance standards, business goals, and project timelines in an agile delivery environment. Through release/upgrade notifications validate report functionality and edit reports as needed. (60%)</p><p></p><p>
Data Design: Work with IT data modelers, central administrative staff, and end users to design data models, data sets, and data definitions for enterprise business intelligence (EBI) reporting and for use with data visualization technology solutions.</p><p>
Test report and validate that it meets clients requirements. Prepare reports for deployment to multiple environments using established control protocols. Document and share technical and functional changes with colleagues. Coordinate and communicate system-related events with ITS support and communications personnel with a goal of providing excellent customer service. (20%)</p><p></p><p>
Reporting Platform Administration / System Technical Support: Manage daily tickets and cyclical (release/upgrades) administration of reporting and analytics solutions in collaboration with other IT personnel, campus partners, and the campus community at large. Ensure the overall health of the technology platform. Apply software maintenance. Reduce operational complexity. Deign and implement system security. Perform capacity planning and management. Serve as escalation point for production and/or platform issues. (10%)</p><p></p><p>
Other duties as assigned. (10%)</p><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree.</li><li>
1 year of professional work experience.</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s degree.</li><li>
A degree in Business, Mathematics, Statistics, Engineering, Science, Management Information Systems, Computer Science, or related field.</li><li>
Programming for various data driven tasks like analysis, extraction, cleaning, validation, summarization, manipulating, creating datasets and generating reports</li><li>
Awareness of dimensional modelling, Star Schemas, Data Marts.</li><li>
Proficient with Microsoft Office products</li></ul><p></p><p><i>
LSU values skills, experience, and expertise. Candidates who have relevant experience in key job responsibilities are encouraged to apply&mdash; a degree is not required as long as the candidate meets the required years of experience specified in the job description.</i></p><p></p><p><b>
Examples of Work:</b></p><p></p><ul><li>
Translates business questions and requirements into reports, views, and BI query objects.</li><li>
Researches and understands business data model.</li><li>
Researches and understands SQL and relational and multidimensional designs.</li><li>
Develops reports, views, and BI query objects using organizational BI tools.</li><li>
Complies with BI standard operating procedures and institutional data management policies.</li><li>
Demonstrates effective knowledge of BI tool architectures, functions, and features.</li><li>
Provides data and analytics output that satisfy functional requirements and provides accurate results.</li><li>
Adheres to organization's design policies including maintaining current documentation.</li><li>
Provides troubleshooting for reports, views, and BI query objects.</li><li>
Collaborates with subject matter experts (SMEs), functional owners, and other ITS staff.</li></ul><p></p><p><b>
Additional information:</b></p><p></p><p>
Please note that this position requires in-office work on our Baton Rouge Campus.</p></div><p><br>
</p><h2 class="jobSectionHeader"><b>Additional Job Description:</b></h2><p></p><h2 class="jobSectionHeader"><b>
Special Instructions:</b></h2>
A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required prior to hire.
<br>
Please provide three professional references including name, title, phone number and e-mail address.
<br>
An offer of employment is contingent on a satisfactory pre-employment background check.<br>
<br>
For questions or concerns regarding the status of your application or salary ranges, please contact Mary Bordelon at mbordelon@lsu.edu.<p><br>
</p><p><b>Skills Needed:</b></p><p><br>
</p><p><b>Preferred Skills:</b></p><p><br>
</p><h2 class="jobSectionHeader"><b>Posting Date:</b></h2>
June 12, 2026<p><br>
</p><h2 class="jobSectionHeader"><b>Closing Date (Open Until Filled if No Date Specified):</b></h2>
October 10, 2026<p><br>
</p><h2 class="jobSectionHeader"><b>Additional Position Information:</b></h2><p><b>
Background Check - </b>An offer of employment is contingent on a satisfactory pre-employment background check.</p><p><b>
Benefits -</b> LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!</p><div><div><div><div><div><div><div><p><br>
</p></div></div></div></div></div></div></div><p>Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University&rsquo;s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.</p><p><br>
</p><h2 class="jobSectionHeader"><b>Essential Position (Y/N):</b></h2><p><br>
</p><h2 class="jobSectionHeader"><b>LSU is an Equal Opportunity Employer.</b></h2><p><br>
</p><p>All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university&rsquo;s ability to employ individuals in certain positions.</p><p><br>
</p><h2 class="jobSectionHeader"><b>HCM Contact Information:</b></h2><div><div><div><div><div><div><div><p>
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.</p></div></div></div></div></div></div></div></div>

BI Developer and Data Analyst 1

Innovative Generations

<p><b>Job Type:</b> Full-time / Part-time<br/><b>Salary:</b> AED 3,000 - AED 3,500 per month<br/><b>Location:</b> Dubai, UAE</p><p><b>Job Description</b></p><p>We are seeking a passionate and experienced <b>Data Analytics Trainer</b> to deliver practical, industry-focused training programs to students and professionals. The ideal candidate should have strong expertise in data analytics tools and the ability to simplify complex concepts through engaging, hands-on learning experiences.</p><p><b>Key Responsibilities</b></p><ul><li>Deliver training in Data Analytics, Business Intelligence, and Data Visualization</li><li>Teach Excel, SQL, Power BI, Tableau, and Python for Data Analytics</li><li>Develop lesson plans, assignments, projects, and assessments</li><li>Conduct practical sessions using real-world datasets</li><li>Guide students in dashboard creation, reporting, and data interpretation</li><li>Monitor student progress and provide feedback</li><li>Stay updated with industry trends and emerging analytics technologies</li></ul><p><b>Requirements</b></p><ul><li>Bachelor's Degree in Computer Science, IT, Statistics, Mathematics, Data Analytics, or a related field</li><li>2&ndash;4 years of experience in Data Analytics, Business Intelligence, or a related field</li><li>Strong knowledge of Excel, SQL, Power BI, Tableau, and Python</li><li>Excellent communication and presentation skills</li><li>Previous training or teaching experience is an advantage</li><li>Ability to engage and motivate learners of different skill levels</li></ul><p><b>Benefits</b></p><ul><li>Professional and supportive work environment</li><li>Career growth opportunities</li><li>Flexible Full-time / Part-time options</li></ul><p><b>Apply Now</b></p><p>Email: management@legendsdxb.com<br/>WhatsApp: +971 58 594 4249<br/>Website: www.legendsdxb.com</p><p>Job Type: Full-time</p><p>Pay: AED3,000.00 - AED3,500.00 per month</p><p>Application Question(s):</p><ul><li>Are you willing to commute/relocate to Dubai?</li></ul><p>Work Location: In person</p>

Data Analytics Trainer

Google

<div><div>Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information</div><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Reston, VA, USA; Atlanta, GA, USA; Washington D.C., DC, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.<br>
</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience engaging with, and presenting to, technical stakeholders and executive leaders.</li>
<li>Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).</li>
<li>Experience using programming languages to design demos, prototypes, or workshops for customers.</li>
<li>Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing, data migrations, data visualization tools, and data governance on cloud native architectures.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience working with customers in the Public Sector industry.</li>
<li>Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.</li>
<li>Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.</li>
<li>Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.</li>
<li>Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.</p>
<p>
As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to design data foundation architectures and develop MVPs (Minimum Viable Products) to sell new, highly specialized solutions to customers. You will solve analytics-centered customer challenges and provide a critical feedback loop to unblock customers and influence product development.</p><p>
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.</p><br>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $152000 - $222000 (USD) + 42.86% bonus target + bonus + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Drive the technical win for complex workloads within data analytics to ensure rapid and successful adoption, primarily supporting the business cycle from use case identification, technical evaluation, and through customer ramp.</li>
<li>Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.</li>
<li>Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.</li>
<li>Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.</li>
<li>Provide critical feedback from customer engagements to product and engineering teams to improve architectures and solutions. Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Customer Engineer, Data/Analytics, Google Public Sector

Data Engineer, Product Analytics

<div>
 As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 <br/>
 <br/>
 Data Engineer, Product Analytics Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  </li>
  <li>
   Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  </li>
  <li>
   Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  </li>
  <li>
   Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  </li>
  <li>
   Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  </li>
  <li>
   Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  </li>
  <li>
   Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  </li>
  <li>
   Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  </li>
  <li>
   Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  </li>
  <li>
   Influence product and cross-functional teams to identify data opportunities to drive impact
  </li>
  <li>
   Mentor team members by giving/receiving actionable feedback
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  </li>
  <li>
   4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  </li>
  <li>
   4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Master's or Ph.D degree in a STEM field
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $147,000/year to $208,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Deloitte

<div>Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced <b>Engineering Lead-Data, Analytics &amp; AI Platform </b>you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model (PTM) is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.<br>
<br>
<b>Work you'll do/Responsibilities
</b><br>
<br>
As a Senior Consultant at Deloitte, you will work within an engagement team and be responsible for supporting the overall project goals and objectives. In this role, you will interact with stakeholders and cross-functional teams. It is expected that you will be able to perform independent tasks as well as provide technical guidance to team members, as needed.
<br>
<ul><li>Serve as the primary accountability owner across Data &amp; Analytics Platform Engineering and Agentic AI Platform Engineering owning deliverables, timelines, quality, and capacity alignment
</li><li>Lead delivery of application integrations and conversational analytics capabilities built to enterprise standards
</li><li>Drive agentic AI engineering delivery including AI agent portal development, reusable agentic frameworks, and enterprise-grade AI agent and tool engineering
</li><li>Own cloud-native agentic architecture deployments and MLOps/LLMOps enablement ensuring solutions are scalable, compliant, and interoperable
</li><li>Manage demand, capacity planning, and project scoping maintaining accurate forecasts and ensuring engineering commitments are met within agreed SLAs
</li><li>Engage directly with business stakeholders and technology leadership to align delivery priorities and effort estimates
</li></ul><br>
<b>The Team
</b><br>
<br>
Join our AI &amp; Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.<br>
<br>
AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements.<br>
<br>
Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.<br>
<br>
<b>Qualifications
</b><br>
<br>
<b>Required
</b><br>
<ul><li>Hands-on experience leading enterprise data and AI engineering teams
</li><li>Experience in leading enterprise data warehouse design, data architecture, and semantic layer development ensuring strong data governance, lineage, and metadata management practices
</li></ul><ul><li>Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
</li><li>Limited immigration sponsorship may be available
</li><li>Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
</li></ul><br>
<b>Preferred
</b><br>
<ul><li>Analytical ability to manage multiple projects and prioritize tasks into manageable work products
</li><li>Can operate independently or with minimum supervision
</li><li>Excellent Written and Communication Skills
</li><li>Ability to deliver technical demonstrations
</li></ul><br>
For individuals assigned and/or hired to work in New Jersey , Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to New Jersey and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is $125,000 to $155,000.<br>
<br>
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Engineering Lead-Data, Analytics & AI Platform

Search 6944+ Data analytics developer jobs near you this June. New roles added regularly across leading industries. Apply today.

6944 data analytics developer jobs Near Me

Power BI Developer/Data Analyst

BI Developer and Data Analyst 1

Data Analytics Trainer

Customer Engineer, Data/Analytics, Google Public Sector

Data Engineer, Product Analytics

Data Engineer, Product Analytics

Engineering Lead-Data, Analytics & AI Platform