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[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

senior data scientist

Ericsson

<div><div><div><div><h2 class="jobSectionHeader"><b>Grow with us</b></h2>
</div><div><p><b>
About this opportunity:</b></p><p></p><p><br>
The Data Scientist for Service Line Operate Service Management Service Improvement is a key position reporting to the Manager &ndash; Data Science, and a member of BCSM Service Line Operate Service Management Service Improvement Team.</p><p><b>
Key Responsibilities</b></p><ul><li>
Enhanced Data analytics and Data Science &ndash; Use case design, modelling, and benefit realization</li><li>
Development of scientific methods, processes, and systems to extract knowledge or insights</li></ul><p>
The Data Scientist for Service Line Operate Service Management Service Improvement develops new solutions and maintain a strong analytical capability to improve service delivery by executing advanced capabilities such as analytics, machine learning skills and tools.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Join our Team</b></h2></div><p></p><div><p><b><br>
What you will do:</b></p><ul><li>
Develop/Own best in class statistical models (descriptive, diagnostic, prescriptive &amp; predictive) covering standard NOC parameters (Alarms, Tickets, WOs).</li><li>
Use cases / model creation (Live Site down, Genset Battery, CR dashboards etc.) with real time data and own/Manage/Revise Capability catalog.</li><li>
Develops scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.</li><li>
Translate data algorithms and complex ideas into actionable management insights and solutions.</li><li>
Translate operator business objectives into business intelligence through regressive data analytics.</li><li>
Drive reuse of analytics capabilities as per demands in other contracts.</li><li>
Analytical model development &amp; visualization request handling.</li><li>
Model LCM &amp; Enhancements over existing models.</li><li>
Explore and work on Big Data tools and technologies to sustain Ericsson&rsquo;s continued operational transformation objectives and market leadership.</li><li>
Continually innovate data reports and data visualizations based on defined objectives such that they bring overview for executive level viewership.</li><li>
Recognize irrelevant information and prevent it from clouding the overall picture.</li><li>
Coordinate with Proactive Problem Management/MSCLT/SDU teams to build models.</li><li>
Work with MSDMs/CPM, Operations SME &amp; other stakeholders to conduct value-stream mapping &amp; propose elimination of any non-value activities - to gain operational efficiencies.</li></ul><p></p><p><b><br>
The skills you bring:</b></p><ul><li>
7+ years of total experience with 3+ years of experience in Data Science, data modelling, Machine Learning, Statistics.</li><li>
Hands-on experience working in the related domains and/or Service Management functions.</li><li>
Strong understanding of Managed Services environment is mandatory.</li><li>
Strong telecom background in any of the domains (RAN/Core) is mandatory.</li><li>
Prior experience of working in MBNL operations is a plus point.</li><li>
Strong knowledge and experience in working with Data Analytic tools i.e., TABLEAU etc.</li><li>
Good understanding of Machine Learning, Artificial Intelligence and Cloud Technologies.</li><li>
Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS.</li><li>
Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e., R, Python.</li><li>
Education: bachelor&rsquo;s degree or equivalent.</li><li>
Driven by behaviors such as: Data driven, Agile, Automation, Value Focus, Innovation.</li><li>
Must have the ability to drive projects independently.</li><li>
Excellent English language skills oral and written.</li><li>
Self-motivated and works excellently under pressure.</li><li>
High degree of accountability and integrity.</li><li>
Highly developed skills in Interpersonal communication and ability to communicate effectively.</li><li>
Customer oriented and business minded &ndash; has a consultative approach and focuses on profitability.</li><li>
Analytical with strong problem-solving capability and strategic thinking.</li></ul></div></div></div><p><b>
Why join Ericsson?</b>At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br>
<br>
<b>What happens once you apply?</b>Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><p></p><p><b><br>
Primary country and city:</b> Saudi Arabia (SA) ||
</p><p><b>Req ID:</b> 785347</p></div><p></p>

Data Scientist

Confidential Semi-Government

<div>
 <p>
  We are seeking a Data Scientist | Machine Learning &amp; Threat Detection to build machine learning models that enhance our threat detection capabilities.
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
  Advanced analytics role leveraging big data to identify anomalous behaviors and predict emerging threats.
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Develop machine learning models for anomaly detection.
  </li>
  <li>
   Process and analyze massive datasets from SIEM and threat intelligence feeds.
  </li>
  <li>
   Collaborate with security analysts to automate complex threat hunting tasks.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Data Science, Mathematics, or Computer Science.
  </li>
  <li>
   5+ years in data science within a cybersecurity context.
  </li>
  <li>
   Certified Analytics Professional certification.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist | Machine Learning & Threat Detection

Veeam Software

<div><div><div><p>Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world&rsquo;s biggest brands.</p>
</div></div><div><p><b>
About the Role:</b></p>
<p>
Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3&ndash;5 Account Executives and Veeam Solution Engineers as the technical subject matter expert.</p>
<p>
You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients.</p>
<p><b>
What You&rsquo;ll Do:</b></p>
<ul>
<li>Act as the primary technical contact for Securiti AI solutions during the sales cycle</li>
<li>Lead technical discussions and deliver customized security solutions</li>
<li>Address customer needs in data discovery, posture management, and compliance</li>
<li>Design and present product demonstrations and proof-of-concepts</li>
<li>Collaborate with product, engineering, and customer success teams to ensure smooth transitions</li>
</ul>
<p><b>What You&rsquo;ll Bring:</b></p>
<ul>
<li>Significant experience in pre-sales or sales engineering</li>
<li>Strong understanding of data and/or cloud security</li>
<li>Effective communicator with both technical and business stakeholders</li>
<li>10+ years technical sales experience in security</li>
<li>15+ years in Software/SaaS/Enterprise technical sales</li>
<li>Hands-on experience with AWS, Azure, or GCP</li>
<li>Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)</li>
<li>Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems</li>
<li>Relevant certifications (CISSP, CISM, or cloud-specific)</li>
</ul>
<p><b>What You&rsquo;ll Get:</b></p>
<p>
Veeam offers benefits that support your whole self:</p>
<ul>
<li>24 vacation days for first 2 years, increasing to 30 days after 2 years of service, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares</li>
<li>Private medical insurance for employees, spouses, and dependents</li>
<li>Life and accident insurance coverage for added financial protection</li>
<li>Free Employee Assistance Program (EAP) with up to 12 therapy sessions, plus legal and financial advice</li>
<li>Life and Disability insurance with AD&amp;D coverage equal to 3x annual salary.</li>
<li>Housing allowance to help cover rental costs</li>
<li>Education allowance for up to three dependent children</li>
<li>Annual flight allowance for employees and their families</li>
<li>Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O&rsquo;Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning</li>
</ul>
<p>#LI-DF1 #LI-REMOTE</p></div><p></p><div>
<div><b>
Veeam Software is an equal opportunity employer</b> and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.</div>
<div>
<p>Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.</p>
<p>
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.</p>
<p>
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.<br>
<br>
<b>By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.</b></p></div></div></div><p></p>

Senior Sales Engineer - Data & AI Security

Talent 360

<div><p><b>About Us</b></p><p><br>
We are building the next-generation Office of the CFO that simplifies finance for all businesses.</p><p><br>
SiFi is a corporate expense management platform designed to empower accounting teams with seamless control over corporate spending. Our platform allows companies to issue cards with specific spending restrictions, ensuring funds are used efficiently and only for approved expenses.</p><p><br>
As we scale, trusted data becomes core infrastructure powering financial correctness, operational visibility, and AI-powered automation.</p><p><b><br>
About the Role</b></p><p><br>
We are looking for a Senior Data Engineer to help define and scale the foundation of SiFi&rsquo;s data platform.</p><p><br>
You will be part of the Data &amp; AI team and serve as a key partner to Finance, Product, Engineering, Operations, and Compliance. Your primary responsibility will be to design and own our data platform, modeling standards, and AI-ready infrastructure, ensuring that metrics are accurate, scalable, and trusted across the organization.</p><p><br>
This is a high-ownership role focused on building financial data infrastructure from first principles.</p><p><br>
This role is based in Saudi Arabia (Relocation).</p><p><b><br>
What You Will Own</b></p><p><b><br>
Data Modeling and Standards</b></p><br>
<ul><li>
Define and maintain scalable data models in SQL<br>
</li><li>
Establish structured warehouse layers and modeling best practices<br>
</li><li>
Own KPI definitions and ensure a single source of truth<br>
</li><li>
Ensure financial correctness and metric consistency</li></ul><p><b><br>
Warehouse Architecture</b></p><br>
<ul><li>
Design and evolve our cloud data warehouse in BigQuery<br>
</li><li>
Own transformation workflows using dbt, SQLMesh, or similar tools<br>
</li><li>
Optimize performance, reliability, and cost<br>
</li><li>
Design and support production-grade AI/ML pipelines ensuring model performance, data integrity, and compliance.</li></ul><p><b><br>
Reliability and Governance</b></p><br>
<ul><li>
Ensure data quality, integrity, and observability<br>
</li><li>
Implement access controls aligned with compliance requirements<br>
</li><li>
Build a scalable foundation ready for advanced analytics and AI</li></ul><p><b><br>
Cross-Functional Impact</b></p><br>
<ul><li>
Translate business requirements into robust data systems<br>
</li><li>
Enable trusted reporting and BI across teams<br>
</li><li>
Support experimentation and AI-driven initiatives with well-structured datasets</li></ul><br>
<b>
Requirements</b><p><b><br>
What We Are Looking For</b></p><br>
<ul><li>
5+ years of experience in Data Engineering or Analytics Engineering<br>
</li><li>
Strong SQL expertise with hands-on data modeling experience<br>
</li><li>
Experience with cloud data warehouses such as BigQuery<br>
</li><li>
Experience with modern transformation frameworks such as dbt or SQLMesh<br>
</li><li>
Experience building or supporting production-grade AI/ML pipelines is a strong plus<br>
</li><li>
Ability to operate independently in a fast-moving startup<br>
</li><li>
Operates with high agency, taking end-to-end ownership of complex problems and delivering outcomes</li></ul></div>

Senior AI Data Engineer

<div><b>Company Description</b><p><b><br>
Sia </b>is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, <b>Sia </b>has shown double-digit growth every year since inception.</p><p><b>
Sia </b>is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented &amp; Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.</p><p>
With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.</p><p><b>
Sia </b>is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.</p><p>
Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment.</p><p>
In the Middle East, <b>Sia </b>provides expert advisory services on strategy &amp; execution, innovation, operational performance &amp; cost reduction, cyber &amp; data security, efficient organisation, transformation &amp; change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners&rsquo; world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.</p><p><b>
Why join the Sia Village?</b></p><p>
Excellence | Entrepreneurship | Innovation | Teamwork | Care &amp; Support | Employee Wellbeing</p><p>
These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.</p><b><br>
Job Description</b><p><br>
At Sia, we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data &amp; AI practice, we seek professionals who share our vision and can contribute to our growth.</p><p>
We are looking for individuals with the following experience:</p><p><b>
Lead delivery projects with our clients on a wide range of topics:</b></p><ul><li>
Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.</li><li>
Develop Data &amp; AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.</li><li>
Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).</li><li>
Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.</li><li>
Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.</li><li>
Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.</li><li>
Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.</li><li>
Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.</li><li>
Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.</li><li>
Support organizational adoption and business readiness for Data &amp; AI solutions through stakeholder engagement, training, and operating model enablement.</li><li>
Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia&rsquo;s AI and Data offerings, accelerators, and platforms, including SiaGPT.</li></ul><p><b>
In addition, we are seeking technical experience across all or some of the below:</b></p><ul><li>
Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.</li><li>
Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).</li><li>
Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.</li><li>
Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.</li><li>
Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.</li><li>
Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.</li><li>
Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.</li><li>
Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.</li><li>
Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.</li><li>
Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.</li><li>
Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.</li><li>
Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.</li><li>
Familiarity with Agile delivery methodologies and cross-functional product delivery teams.</li><li>
Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.</li></ul><br>
<b>
Qualifications</b><p><br>
To excel in this role, you should possess:</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.</li><li>
Master&rsquo;s degree in a relevant discipline.</li><li>
4&ndash;10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.</li><li>
Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.</li><li>
Experience working with enterprise and government stakeholders in KSA or the GCC.</li><li>
Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.</li><li>
Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.</li><li>
Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).</li><li>
Fluency in English and Arabic is required.</li><li>
Experience in local networks and aiding in business development, proposal, and RFPs</li><li>
It is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions.</li><li>
Strong relationship management skills, with the ability to build networks and influence stakeholders effectively</li><li>
Exceptional analytical, communication, and interpersonal skills</li><li>
An entrepreneurial mindset with a passion for innovation and problem-solving</li></ul><br>
<b>
Additional Information</b><p><br>
Joining <b>Sia </b>means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care &amp; Support, and Employee Wellbeing, ensuring a fulfilling career path.</p><p>
What a career at Sia offer you?</p><ul><li>
Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers.</li><li>
Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future.</li><li>
Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.</li><li>
Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills.</li></ul><p>
Our Commitment to Diversity</p><p>
At <b>Sia</b>, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.</p><p>
We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients&rsquo; unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood.</p><p>
To learn more about our mission, values, and business sectors, please visit our website.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

[KSA] Data & AI – Senior Consultant / Associate Manager

Qiddiya Investment Company

<div><p>The Senior Manager &ndash; FP&amp;A (Development) will support the financial oversight and performance management of Qiddiya&rsquo;s development portfolio. This role will focus on financial monitoring of development projects, variance analysis, risk tracking, management reporting, and ensuring alignment between project controls and accounting systems.</p><p>
The role will play a key part in preparing high-quality management reports, budget submissions, variance analyses, and project financial reviews, while providing actionable insights to senior finance leadership. The Senior Manager will work closely with cross-functional teams to ensure financial discipline, data integrity, and continuous process improvement across development projects.</p><br>
<ul><li>
Support financial oversight of capital development projects, ensuring alignment with approved budgets, schedules, and scope.
</li><li>Prepare and consolidate management packs, executive summaries, and budget submissions for review by the Senior Director.
</li><li>Analyze financial performance, identify key variances, and provide structured insights with recommended actions.
</li><li>Manage monthly reconciliation between project systems and accounting systems, ensuring data accuracy and timely issue resolution.
</li><li>Review project schedule updates (Primavera P6) and assess financial impact of risks, delays, and scope changes.
</li><li>Develop and maintain financial models and scenario analyses to support forecasting and planning.
</li><li>Standardize reporting templates, KPIs, dashboards, and action trackers across development projects.</li><li>
Collaborate with Accounting, Treasury, Project Controls, and other FP&amp;A teams to ensure process alignment and data consistency.
</li><li>Contribute to automation and reporting enhancement initiatives within the Development FP&amp;A function.
</li><li>Support internal governance processes related to budget control, forecasting discipline, and financial transparency.
</li><li>Provide guidance and coaching to analysts within the team, promoting accuracy, accountability, and continuous improvement.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
10+ years of total experience in Finance</li><li>
Experience in Financial Planning and Analysis (FP&amp;A) within a real estate development environment.</li><li>
Experience in development, construction, infrastructure, real estate, or large capital project environments is strongly preferred.
</li><li>Experience working within large, complex organizations is required.
</li><li>Big 4 or Tier 1 consulting background is advantageous</li></ul></div>

Senior Manager - Development Financial Planning and Analysis (CORS 249)

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description &ndash; Senior Oracle Analytics Consultant (Financial Domain)</b></h1><h2 class="jobSectionHeader"><b>
Position Title</b></h2><p><b>
Senior Oracle Analytics Consultant</b></p><h2 class="jobSectionHeader"><b>
Experience Required</b></h2><p><b>
6+ Years</b></p><p></p><h2 class="jobSectionHeader"><b>
Role Overview</b></h2><p>
We are seeking a highly skilled <b>Senior Oracle Analytics Consultant</b> with strong experience in financial domains to design, develop, and optimize enterprise analytics and reporting solutions. The ideal candidate should possess hands-on expertise in Oracle Analytics technologies, financial reporting, data modeling, dashboard development, and stakeholder management.</p><p>
The consultant will work closely with finance teams, business stakeholders, and technical teams to deliver scalable BI and analytics solutions that support strategic business decisions.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, develop, and maintain dashboards, reports, and analytical solutions using Oracle Analytics tools.</li><li>
Gather business requirements from finance and business stakeholders and translate them into technical solutions.</li><li>
Develop and maintain semantic models, datasets, KPIs, scorecards, and data visualizations.</li><li>
Build financial dashboards related to:<ul><li>
P&amp;L Reporting</li><li>
Budgeting &amp; Forecasting</li><li>
Revenue Analysis</li><li>
Expense Tracking</li><li>
Cash Flow Reporting</li><li>
Financial Performance Metrics</li><li>
Regulatory &amp; Compliance Reporting</li></ul></li><li>
Perform data extraction, transformation, and integration from ERP and financial systems.</li><li>
Optimize report performance, query tuning, and dashboard usability.</li><li>
Support UAT, troubleshooting, and production issue resolution.</li><li>
Collaborate with data engineers, ETL developers, finance teams, and project managers.</li><li>
Ensure data accuracy, governance, and reporting standards are maintained.</li><li>
Prepare technical documentation, solution designs, and user guides.</li><li>
Mentor junior consultants and provide technical guidance where required.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Expertise</b></h2><h3 class="jobSectionHeader"><b>
Oracle Analytics &amp; BI</b></h3><ul><li><b>
Oracle Analytics Cloud (OAC) Must Have</b></li><li>
Oracle BI Publisher</li><li>
Oracle Data Visualization</li><li>
Oracle Analytics Server (OAS)</li></ul><h3 class="jobSectionHeader"><b>
Database &amp; Technical Skills</b></h3><ul><li>
SQL / PL-SQL</li><li>
Oracle Database</li><li>
Data Modeling</li><li>
ETL Concepts</li><li>
Performance Optimization</li><li>
Data Warehousing Concepts</li></ul><h3 class="jobSectionHeader"><b>
Financial Domain Experience</b></h3><p>
Strong understanding of:</p><ul><li>
Financial Reporting</li><li>
General Ledger (GL)</li><li>
Accounts Payable (AP)</li><li>
Accounts Receivable (AR)</li><li>
Fixed Assets</li><li>
Budgeting &amp; Forecasting</li><li>
Financial Planning &amp; Analysis (FP&amp;A)</li><li>
Banking / Insurance / Financial Services Reporting</li></ul><p></p><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Finance, or related field.</li><li>
Oracle certifications will be considered an advantage.</li><li>
Minimum 6 years of relevant Oracle Analytics Cloud experience.</li><li>
Proven experience working on financial analytics/reporting projects.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Soft Skills</b></h2><ul><li>
Strong analytical and problem-solving skills</li><li>
Excellent communication and stakeholder management</li><li>
Ability to work independently and in team environments</li><li>
Strong documentation and presentation skills</li><li>
Ability to manage multiple priorities in fast-paced environments</li></ul><p>
</p><p>BFsK8JNNMk</p></div>

Senior Oracle Analytics Consultant (Financial Domain)

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