data science consultant

Wells Fargo

<div><h2 class="jobSectionHeader"><b>About this role:
</b></h2><h2 class="jobSectionHeader"><b>Wells Fargo is seeking a talented Lead Data Science Consultant to join our growing Marketing Analytics team as part of Consumer Banking and Lending (CBL).</b></h2><h2 class="jobSectionHeader"><b>
In this role you will partner with stakeholders and play a pivotal role for various marketing campaigns aimed at assessing key marketing levers for future optimization and developing solid actionable inflight reporting for continuous refinement of our marketing campaigns. Additionally, you will be responsible for implementing marketing strategies that drive growth and engagement, while continuously improving campaign performance and efficiency.</b></h2><h2 class="jobSectionHeader"><b>
In this role, you will:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Measure and quantify the success of CSBB Marketing campaigns while inflight and via post campaign deep dives</b></h2></li><li><h2 class="jobSectionHeader"><b>
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels</b></h2></li><li><h2 class="jobSectionHeader"><b>
Lead complex initiatives and deliverables by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, or contribute to large-scale planning that has a broader impact</b></h2></li><li><h2 class="jobSectionHeader"><b>
Review and analyze complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations</b></h2></li><li><h2 class="jobSectionHeader"><b>
Independently analyze and resolve complex issues and lead team to meet deliverables while leveraging solid understanding of analytic capabilities</b></h2></li><li><h2 class="jobSectionHeader"><b>
Execute analytical experiments and create innovative statistical technics to discover solutions for abstract business problems across various domains</b></h2></li><li><h2 class="jobSectionHeader"><b>
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Interpret and analyze data, using advanced analytics methods and programming, to recommend ways to solve problems and influence business decisions and strategies</b></h2></li><li><h2 class="jobSectionHeader"><b>
Collaborate and consult with peers, colleagues, and mid-level managers to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams, or serve as a mentor for lower-level staff</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</b></h2></li><li><h2 class="jobSectionHeader"><b>
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Desired Qualifications:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
2+ years of previous marketing campaign analytics experience</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong analytical skills, with experience using data and insights to inform marketing decisions</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in SQL, Python / R, and other programming languages</b></h2></li><li><h2 class="jobSectionHeader"><b>
Proficiency in Data visualization preferably with Tableau</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with large production data sets</b></h2></li><li><h2 class="jobSectionHeader"><b>
Strong project management skills, with the ability to manage multiple projects simultaneously and meet tight deadlines</b></h2></li><li><h2 class="jobSectionHeader"><b>
Expertise in statistical testing</b></h2></li><li><h2 class="jobSectionHeader"><b>
Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams</b></h2></li><li><h2 class="jobSectionHeader"><b>
Experience with technical systems and business processes extracting data driven insights while identifying opportunities for engineering enhancements</b></h2></li><li><h2 class="jobSectionHeader"><b>
Hands-on experience of Extract, Transform and Load (ETL) and data warehousing for purposes of integrating different data sources</b></h2></li></ul><h2 class="jobSectionHeader"><b>
Job Expectations:</b></h2><ul><li><h2 class="jobSectionHeader"><b>
Hybrid work schedule. Must be able to work from one of the approved jobs posting locations three (3) days in office &amp; two (2) days remote.</b></h2></li><li><h2 class="jobSectionHeader"><b>
This position is not eligible for Visa sponsorship.</b></h2></li><li><h2 class="jobSectionHeader"><b>
Relocation assistance is not available for this position.</b></h2></li></ul><p></p><p><b>
Posting End Date:</b></p><p></p>
31 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p>
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Lead Campaign Analytics & Data Science Consultant

Infosys

<div><b>In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:</b><br>
<ul><li>Develop data preparation tasks, while identifying patterns or anomalies.</li><li>Ensure data readiness for advanced modeling.</li><li>Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.</li><li>Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.</li><li>Design and develop predictive models and data-driven analyses to address business challenges.</li><li>Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.</li><li>Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.</li><li>Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.</li><li>Proactively maintain models and implement improvements for accuracy and reliability.</li><li>Apply governance controls to mitigate risks and ensure compliance.</li><li>Analyze performance trends, recommend improvements, and document discrepancies for escalation.</li><li>Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.</li><li>Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.</li><li>Apply the predefined quality measurement framework at an individual task level in the project.</li><li>Deploy complex analytics tools or multi-system integration, while validating deployment success.</li><li>Participate in developing scripts or templates for repeated deployments tasks.</li><li>Contribute to analytic solutions, IP asset creation, and training initiatives.</li><li>Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.</li><li>Participate in and deliver analytics training, while contributing to content creation.</li><li>Provide input for segment and unit-level business plans.</li></ul><br>
<br>
<br>
<br>
<b>Your contribution to the team:</b><br>
<br>
<ul><li>Deliver scalable, high-quality analytics solutions aligned to business needs.</li><li>A knack for optimization, deployment and performance improvement of models.</li><li>The ability to drive innovation through advanced analytics, automation and thought leadership.</li><li>Enable team growth through knowledge sharing, training and standardization.</li><li>Support business planning with data-driven insights.</li></ul></div>

AI Engineer Analytics

Deloitte

<div><b>The Team</b><br>
<br>
The Market Insights &amp; Activation (MI&amp;A) team sits within Deloitte's Growth &amp; Purpose organization-the function responsible for shaping how the firm grows, competes, and wins in market. Our mission is to proactively capture real-time market shifts, shape firm go-to-market strategy, and fuel Deloitte's growth ambition. We are laser-focused on helping Deloitte grow faster than the market and &quot;Win the New&quot;-partnering with the business to deliver coordinated, results-oriented, and insights-informed growth strategies that reach the firm's most senior leaders.<br>
<br>
Recruiting for this role ends on 08/14/2026.<br>
<br>
<b>Position Summary</b><br>
<br>
The Market Insights Intelligence Lead sits at the center of a small, fast-moving team inside Deloitte. This team experiments, ships, learns, and moves again - building intelligence tools and products that feed the firm's most senior growth leaders with real-time market signals. If that sounds more like a startup than a Big Four consulting firm, that's because this corner of it is.<br>
<br>
What we're looking for is someone who, when handed a hypothesis or a half-formed &quot;what if,&quot; gets visibly excited - chews on it, pulls the thread, and comes back with something that makes the room lean forward. The profile is genuinely plural: part data scientist, part technologist, part analyst, part strategist, part creative. You've probably been told before that you're hard to categorize. We'd consider that a strong signal. An engineering background is an asset - less for the syntax and more for the mental model it builds. Vibe coding is a must.<br>
<br>
<b>Work You'll Do</b><br>
<ul><li>Join a team that conducts deep-dive research and insight development for high-stakes, senior executives at the firm</li>
<li>Use vibe coding, AI-assisted development, and rapid prototyping to build lightweight tools that automate, accelerate, or entirely replace manual research workflows</li>
<li>Design and run structured experiments to test market hypotheses: frame the question, build the minimal test, assess the evidence, form a view, and execute</li>
<li>Develop and maintain the team's data infrastructure: sourcing, structuring, and connecting market intelligence from licensed providers and open sources into usable, repeatable pipelines</li>
<li>Serve as the translation layer between business problems and technical systems - helping non-technical leaders understand what's possible and helping engineers understand what actually matters</li>
<li>Drive creative exploration on the team - bring a fresh eye to how we approach problems, what tools and methods we haven't tried yet, and where the most interesting whitespace is</li>
<li>Proactively identify where you can add value and step in - this role has a defined scope and an expectation that you'll regularly exceed it</li>
</ul><br>
<b>The Successful Candidate Will Possess</b><br>
<ul><li>An experimentalist and builder's mindset: leads with curiosity, moves fast, tests hypotheses, and iterates without waiting for permission</li>
<li>Vibe coding proficiency: ability to rapidly prototype tools, automate workflows, and build lightweight data products using AI-assisted coding techniques</li>
<li>Engineering or technical background (preferred, not required to code in production): fluency with technical systems, data pipelines, APIs, and platform architecture at the conceptual level</li>
<li>Analytical depth: ability to go deep on a research question, pressure-test assumptions, and produce a well-reasoned, independently defensible point of view</li>
<li>High fluency with AI tools-used as genuine accelerators, not crutches; knows when to use them and when the answer requires human judgment</li>
<li>Comfort with ambiguity and undefined scope: strong instinct for where to add value; proactively steps into work, even outside formally assigned responsibilities</li>
<li>Intellectual rigor and commitment to credibility: cares deeply about truthfulness, sourcing, and the difference between a justified conclusion and an interesting conjecture</li>
<li>Broad technical fluency across data tooling (e.g., Python, SQL, or equivalent), visualization platforms, and research technology</li>
<li>Genuine creative eye: brings an original perspective to how insights are designed, surfaced, and experienced-whether through data visualization, product design, or editorial format</li>
<li>Willingness to get hands-on regardless of title-executes at all levels of the stack without hesitation</li>
</ul><br>
<b>Qualifications</b><br>
<br>
<b>Required</b><br>
<ul><li>Bachelor's or Master's degree in Engineering, Computer Science, Economics, Finance, Applied Mathematics, Data Science, or a related quantitative discipline</li>
<li>4-6 years of experience in a technically rigorous analytical role-e.g., private equity research, technology strategy, competitive intelligence, data science, or quantitative consulting</li>
<li>Demonstrated vibe coding or lightweight prototyping skills: ability to build working tools or automate workflows using AI-assisted techniques</li>
<li>Ability to travel up to 5-10%, on average, based on the work you do and the clients and industries/sectors you serve.</li>
<li>Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future</li>
</ul><br>
<b>Preferred</b><br>
<ul><li>Engineering or software development background: prior experience building or contributing to data pipelines, APIs, or analytical platforms</li>
<li>Experience in or deep familiarity with private equity research, Gartner/Forrester analyst work, or other hypothesis-driven, structured research environments</li>
<li>Working knowledge of Python, SQL, or equivalent data tools for analysis, automation, or prototyping</li>
<li>Familiarity with the enterprise technology landscape, AI tooling, or SaaS market dynamics</li>
<li>Prior experience designing and running structured market experiments or rapid insight prototypes</li>
<li>Graphic design sensibility or experience with data visualization tools (e.g., Tableau, Power BI, or custom-built dashboards)</li>
</ul><br>
The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $105,400-207,800.<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>

MI&A - Market Insights Intelligence Analyst - C_MAT

Robusta

<div><p>Octopus by RTG is the tech hiring and outsourcing arm of <b>Robusta Technology Group</b>, dedicated to connecting exceptional tech talent with top-tier organizations across the <b>MENA, GCC, Europe, the US, and Canada</b>. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to <b>empower growth, innovation, and excellence</b> by matching the right talent with the right opportunities.</p><p>
Currently, we are hiring a <b>Microsoft Dynamics 365 Senior Techno-Functional Consultant </b>for one of our <b>partner organizations in KSA</b>, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.</p><p>
The Microsoft Dynamics 365 Senior Functional Consultant is responsible for managing, enhancing, and optimizing the Dynamics 365 platform across all departments. The role ensures business alignment, drives continuous improvement, and leads integration efforts with other core systems such as CarPro, Salesforce, MuleSoft, and the Data Warehouse.</p><p>
This position combines technical expertise with business process knowledge to deliver scalable, efficient, and user-centric solutions that support the organization's digital transformation goals.</p>
Key Responsibilities<ul><li>
Manage and support the overall Dynamics 365 environment, ensuring stability, functionality, and alignment with business needs.</li><li>
Collaborate with stakeholders to identify enhancement opportunities, gather requirements, and implement effective solutions.</li><li>
Work with internal teams and external partners to deploy new modules and system features.</li><li>
Ensure proper system configuration, data integrity, and security controls.</li><li>
Lead integrations between Dynamics 365 and other enterprise platforms (CarPro, Salesforce, MuleSoft, and the Data Warehouse).</li><li>
Conduct gap analysis and develop improvement plans to optimize business processes.</li><li>
Provide end-user training, documentation, and post-deployment support.</li><li>
Oversee change management, testing, and release management activities.</li><li>
Ensure compliance with IT policies, data governance, and audit requirements.</li><li>
Act as the subject matter expert (SME) on Dynamics 365 applications and related business processes.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor's degree in Information Systems, Computer Science, or Business Administration.</li><li>
7+ years of experience implementing and managing Microsoft Dynamics 365 (Finance, Operations, or CRM).</li><li>
Hands-on experience integrating Dynamics 365 with third-party systems and APIs.</li><li>
Preferred certifications: Microsoft Certified Dynamics 365 Functional Consultant or Solution Architect.</li><li>
Strong analytical, problem-solving, and project management skills.</li><li>
Excellent communication and stakeholder engagement abilities.</li><li>
Fluent in both Arabic and English.</li></ul></div>

Microsoft Dynamics 365 Senior Consultant - Octopus by RTG

Capita Technologies WLL

<p><b>Job Description:</b></p><p>Capita Technologies is currently looking for an Arabic speaking SAP FICO Consultant to be based in Riyadh, Saudi Arabia.</p><p>Location: Riyadh, Saudi Arabia</p><p>Experience: Minimum 8+ years</p><p><b>Responsibilities:</b></p><p>&middot; Translating business needs into SAP solutions, process consulting, end-user training, first-line support, and continuous improvement initiatives within the finance domain</p><p>&middot; Expertise in OData Services, REST APIs, and CDS (Core Data Services) modeling</p><p>&middot; Translate customer financial processes into effective SAP FICO solutions.</p><p>&middot; Lead and support SAP FICO projects, including implementation, deployment of releases, and handling ongoing operational challenges.</p><p>&middot; Provide first-line support to users and coordinate with manufacturers for second-line support.</p><p>&middot; Collaborate with stakeholders to implement continuous improvement initiatives for the SAP FICO application.</p><p>&middot; Train end-users and conduct refresher sessions as needed.</p><p>&middot; Perform administrative tasks within the SAP FICO environment.</p><p><b>Qualification and skills:</b></p><p>&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Business, or a related field.</p><p>&middot; At least 8 years of experience as an SAP FICO consultant</p><p>&middot; Must speak Arabic</p><p>&middot; Strong experience with SAP Business Technology Platform (BTP).</p><p>&middot; Strong background in SAP FICO, with experience in SAP S/4HANA and its finance modules being a significant advantage.</p><p>&middot; Proficiency in translating business requirements into technical solutions and managing application releases and fixes.</p><p>&middot; Team leadership and collaboration with stakeholders skills are vital.</p><p>&middot; Excellent problem-solving, analytical, and strong communication skills</p><p>&middot; Ability to work independently and as part of a team.</p><p>&middot; Good verbal and written communication in English.</p><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Riyadh: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Experience:</p><ul><li>SAP FICO : 8 years (Required)</li></ul><p>Language:</p><ul><li>Arabic and English (Required)</li></ul>

SAP FICO Consultant

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>About Capgemini</b></h2>
</div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
</div><div><p>We're looking for a passionate and experienced AI Platform Engineering Senior Consultant to join our vibrant team! As an AI Platform Engineering Senior Consultant, you will lead the design, implementation, and modernization of enterprise AI platforms supporting Generative AI, Machine Learning, Advanced Analytics, and Intelligent Automation initiatives. You will help customers build secure, scalable, and production-ready AI platforms leveraging NVIDIA AI Enterprise, Kubernetes, OpenShift, VMware, cloud services, and automation technologies across hybrid and multi-cloud environments.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Lead the architecture, design, and deployment of enterprise AI and Generative AI platforms across cloud, on-premises, and hybrid environments.</li>
<li>Design AI-ready infrastructure leveraging NVIDIA AI Enterprise, GPU technologies, Kubernetes, OpenShift, VMware, and cloud-native services.</li>
<li>Develop AI platform strategies, target-state architectures, governance frameworks, and modernization roadmaps.</li>
<li>Enable enterprise AI use cases including LLMs, RAG, AI Agents, MLOps, LLMOps, and Intelligent Automation platforms.</li>
<li>Implement Infrastructure-as-Code, GitOps, Terraform, Ansible, CI/CD, and automation frameworks to drive platform standardization and operational excellence.</li>
<li>Integrate AI platforms with ServiceNow ITSM, ITOM, CMDB, Change Management, and operational workflows.</li>
<li>Establish monitoring, observability, governance, security, and lifecycle management capabilities for AI platforms.</li>
<li>Lead customer workshops, architecture reviews, executive briefings, solution development, and mentoring activities.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications:</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.</li>
<li>Minimum 10 years of experience in Platform Engineering, Cloud Architecture, Infrastructure Engineering, AI Platforms, or Technology Consulting.</li>
<li>Minimum 5 years of experience designing and operating enterprise AI, Machine Learning, Data Science, or Advanced Analytics platforms.</li>
<li>Outstanding English communication, both verbal and non-verbal.</li>
<li>Strong expertise in NVIDIA AI Enterprise, GPU-accelerated infrastructure, AI platform architecture, MLOps, and LLMOps.</li>
<li>Deep knowledge of Kubernetes and container platforms including Red Hat OpenShift, AKS, Amazon EKS, GKE, and VMware Tanzu.</li>
<li>Hands-on experience with Terraform, Ansible, GitOps, CI/CD pipelines, and platform automation.</li>
<li>Experience with AI technologies such as PyTorch, TensorFlow, Hugging Face, LangChain, Vector Databases, and Generative AI ecosystems.</li>
<li>Strong understanding of Azure, AWS, and Google Cloud AI services and infrastructure platforms.</li>
<li>Experience integrating enterprise platforms with ServiceNow and implementing governance, security, and operational best practices.</li>
<li>Excellent consulting, stakeholder management, leadership, communication, and presentation skills.</li></ul></div></div></div></div></div></div></div>

AI Platform Engineering Senior Consultant

E Logic

<div><p>E-logic is seeking a <b>Business Intelligence Architect</b> to support the Data Mart Program from Indian Health Service (IHS). In this role, you will apply high-level technical expertise in public health informatics, business intelligence tools (Qlik Sense, QlikView), and quantitative data methods to support large-scale surveillance, analytics, and enterprise reporting solutions.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Architect, design, and optimize enterprise-level Business Intelligence solutions using Qlik Sense and QlikView.</li>
<li>Integrate data from heterogeneous health information systems and relational databases for agency-wide analytics and reporting.</li>
<li>Apply data mining, decision science, and information retrieval methods to public health datasets.</li>
<li>Collaborate with project managers, federal leads, and technical teams to align analytics tools with strategic agency objectives.</li>
</ul>
<p><b>Qualifications &amp; Requirements</b></p>
<ul>
<li>Proven expertise in Business Intelligence and Business Analytics tools, specifically <b>Qlik Sense</b> and <b>QlikView</b>.</li>
<li>Experience working with federal health systems, Medical/Public Health Informatics, or population health metrics.</li>
<li>Strong understanding of data modeling, ETL processes, and health database architectures.</li>
<li>Must be able to obtain pre-clearance and pass a federal background investigation (fingerprints &amp; credit check).</li>
</ul>
<p><b>Important Notice:</b></p>
<p>
This role is part of a proposal for the Data Mart Program from Indian Health Service (IHS). Hiring is contingent upon the selection of the consultant. Selected candidates will be included in the proposal and must authorize the use of their resume for submission.</p></div>

Business Intelligence Architect

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