analytics consultant

Aurex.ai

<div>
 Key Requirements
 
 
 
 <ul>
 <li>
 
 Location:
 
 Based in the
 
 Kingdom of Saudi Arabia (KSA)
 
 .
 </li>
 <li>
 
 Language:
 
 
 Must be fluent in both Arabic and English
 
 (reading, writing, and speaking) to effectively communicate with local teams and stakeholders.
 </li>
 </ul>
 <li>
 
 </li>
 Key Responsibilities1. Audit Data Strategy and Execution
 <ul>
 <li>
 Design, develop, and implement data-driven audit tests and continuous auditing solutions using analytics tools.
 </li>
 <li>
 Work closely with audit teams to identify areas where data analytics can provide deeper insights, improve risk coverage, and increase efficiency.
 </li>
 <li>
 Identify, extract, and transform data from various complex systems (e.g., SAP, Oracle, various cloud platforms) to prepare it for analysis.
 </li>
 <li>
 Ensure the completeness, accuracy, and integrity of data used for all analytics procedures.
 </li>
 </ul>
 
 
 
 2. Tool Expertise and Development
 <ul>
 <li>
 
 Alteryx:
 
 Utilize
 
 Alteryx
 
 for advanced data blending, transformation, and workflow automation to support complex audit procedures.
 </li>
 <li>
 
 Data Visualization:
 
 Develop compelling and interactive dashboards and reports using
 
 Power BI (PBI)
 
 and
 
 Tableau
 
 to present audit findings, trends, and risk indicators to stakeholders.
 </li>
 <li>
 Drive the adoption and proficiency of analytics tools across the audit function through training and knowledge sharing.
 </li>
 </ul>
 
 
 
 3. Stakeholder Communication and Reporting
 <ul>
 <li>
 Clearly articulate the methodology, results, and implications of data analytics procedures to both technical and non-technical stakeholders (including senior management and audit committees) in
 
 both Arabic and English
 
 .
 </li>
 <li>
 Draft detailed analytical reports summarizing findings, providing recommendations, and measuring the impact of implemented solutions.
 </li>
 </ul>
 
 
 
 4. Continuous Improvement
 <ul>
 <li>
 Stay abreast of the latest trends in audit technology, data science, and governance, risk, and compliance (GRC) solutions.
 </li>
 <li>
 Contribute to the continuous improvement of the audit methodology by integrating analytics best practices.
 </li>
 </ul>
 
 
 
 QualificationsEducation &amp; Experience
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Accounting, Finance, Information Systems, Data Science, or a related field.
 </li>
 <li>
 
 4-5 years
 
 of progressive professional experience in Audit (Internal or External), Risk Advisory, or Data Analytics Consulting.
 </li>
 <li>
 Experience in a 'Big Four' or large consulting environment is a plus.
 </li>
 </ul>
 Technical Skills (Must-Have)
 <ul>
 <li>
 
 Expert-level proficiency in Alteryx for data preparation and workflow automation.
 
 </li>
 <li>
 
 Strong experience designing and building interactive dashboards with Power BI (PBI) and/or Tableau.
 
 </li>
 <li>
 Solid understanding of relational databases and proficiency in
 
 SQL
 
 .
 </li>
 <li>
 Familiarity with data structures and data extraction from common ERP systems (e.g., SAP, Oracle).
 </li>
 </ul>
 
 
 
 Soft Skills
 <ul>
 <li>
 
 Fluency in Arabic and English is mandatory.
 
 </li>
 <li>
 Exceptional analytical and problem-solving skills with a keen attention to detail.
 </li>
 <li>
 Strong collaboration skills and experience working effectively in a team-oriented setting.
 </li>
 <li>
 Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
 </li>
 </ul>
 
 
 
</div>

Audit Analytics Consultant

Madar Logistics Platform

<div>
 
 Madar
 
 is a leading Saudi digital logistics platform transforming transportation management across industries. It connects shippers, carriers, and logistics partners through a unified ecosystem that delivers visibility, efficiency, and automation. Madar enables seamless shipment execution, financial integration, and real-time tracking &mdash; redefining the future of logistics in the Kingdom and beyond.
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled Data Analyst with advanced expertise in Tableau and a proven ability to translate complex data into actionable insights. The ideal candidate will excel in understanding client requirements, building analytical scenarios, and applying a wide range of data analysis techniques to support strategic decision-making.
 
 
 
 Key Responsibilities:
 
 
 
 
 Operational Data Integrity &amp; Governance
 
 
 
 <ul>
 <li>
 Ensure the accuracy, consistency, and reliability of operational data across all systems
 </li>
 <li>
 Establish structured validation and governance protocols to maintain data integrity
 
 
 </li>
 </ul>
 
 Dashboard Readiness &amp; Data Availability
 
 
 
 <ul>
 <li>
 Maintain the availability and performance of interactive dashboards
 </li>
 <li>
 Guarantee real-time visibility into key metrics and operational trends
 
 
 </li>
 </ul>
 
 Enterprise Analytics Strategy &amp; Leadership
 
 
 
 <ul>
 <li>
 Define and execute company-wide analytics strategies
 </li>
 <li>
 Establish governance frameworks and methodologies to transform raw data into strategic insights
 
 
 </li>
 </ul>
 
 Advanced Analytics &amp; Intelligence Enablement
 
 
 
 <ul>
 <li>
 Design and deploy predictive, prescriptive, and diagnostic models
 </li>
 <li>
 Uncover business insights, optimize operations, and identify growth opportunities
 
 
 </li>
 </ul>
 
 Data Infrastructure &amp; Scalability
 
 
 
 <ul>
 <li>
 Oversee the development of scalable data ecosystems, including ETL pipelines and cloud-based environments
 </li>
 <li>
 Ensure secure and timely access to data across the enterprise
 
 
 </li>
 </ul>
 
 Dashboard Development &amp; Automation
 
 
 
 <ul>
 <li>
 Build and maintain interactive dashboards using Tableau and other BI tools
 </li>
 <li>
 Enable dynamic monitoring of performance and operational health through automation
 
 
 </li>
 </ul>
 
 Data Storytelling (Insights)
 
 
 
 <ul>
 <li>
 Transform complex datasets into intuitive visual narratives
 </li>
 <li>
 Apply design principles to ensure clarity, consistency, and brand alignment in reporting
 
 
 </li>
 </ul>
 
 Platform Data Governance &amp; Access Control
 
 
 
 <ul>
 <li>
 Manage data-related configurations within Madar platforms
 </li>
 <li>
 Oversee user access, conduct periodic reviews, and ensure alignment with security policies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Advanced proficiency in Tableau (dashboard design, calculated fields, parameters, data blending)
 </li>
 <li>
 Strong knowledge of SQL, Excel, and other data manipulation tools
 </li>
 <li>
 Familiarity with statistical techniques (regression, clustering, hypothesis testing, forecasting)
 </li>
 <li>
 Ability to apply diverse analysis techniques to solve complex business problems
 </li>
 <li>
 Excellent ability to understand client requirements and translate them into technical solutions
 </li>
 <li>
 Strong presentation and storytelling skills to communicate insights effectively
 </li>
 <li>
 Bachelor's degree in data science, Statistics, Computer Science, Business Analytics, or related field
 </li>
 <li>
 3-5 years of proven experience in data analysis and visualization
 
 
 </li>
 </ul>
 
 Key Attributes:
 
 
 
 <ul>
 <li>
 Detail-oriented with a passion for data accuracy and clarity
 </li>
 <li>
 Innovative thinker who can design creative solutions for complex problems
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple projects simultaneously
 </li>
 <li>
 Collaborative team player with proactive communication
 </li>
 </ul>
</div>

Data Analyst

Madar

<div>Madar is a leading Saudi digital logistics platform transforming transportation management across industries. It connects shippers, carriers, and logistics partners through a unified ecosystem that delivers visibility, efficiency, and automation. Madar enables seamless shipment execution, financial integration, and real-time tracking &mdash; redefining the future of logistics in the Kingdom and beyond.
Role Overview:
We are seeking a highly skilled Data Analyst with advanced expertise in Tableau and a proven ability to translate complex data into actionable insights. The ideal candidate will excel in understanding client requirements, building analytical scenarios, and applying a wide range of data analysis techniques to support strategic decision-making.
Key Responsibilities:
Operational Data Integrity &amp; Governance
<ul><li>Ensure the accuracy, consistency, and reliability of operational data across all systems.
</li><li>Establish structured validation and governance protocols to maintain data integrity.</li></ul> 
Dashboard Readiness &amp; Data Availability
<ul><li>Maintain the availability and performance of interactive dashboards.
</li><li>Guarantee real-time visibility into key metrics and operational trends.</li></ul> 
Enterprise Analytics Strategy &amp; Leadership
<ul><li>Define and execute company-wide analytics strategies.
</li><li>Establish governance frameworks and methodologies to transform raw data into strategic insights.</li></ul> 
Advanced Analytics &amp; Intelligence Enablement
<ul><li>Design and deploy predictive, prescriptive, and diagnostic models.
</li><li>Uncover business insights, optimize operations, and identify growth opportunities.</li></ul> 
Data Infrastructure &amp; Scalability
<ul><li>Oversee the development of scalable data ecosystems, including ETL pipelines and cloud-based environments.
</li><li>Ensure secure and timely access to data across the enterprise.</li></ul> 
Dashboard Development &amp; Automation
<ul><li>Build and maintain interactive dashboards using Tableau and other BI tools.
</li><li>Enable dynamic monitoring of performance and operational health through automation.</li></ul> 
Data Storytelling (Insights)
<ul><li>Transform complex datasets into intuitive visual narratives.
</li><li>Apply design principles to ensure clarity, consistency, and brand alignment in reporting.</li></ul> 
Platform Data Governance &amp; Access Control
<ul><li>Manage data-related configurations within Madar platforms.
</li><li>Oversee user access, conduct periodic reviews, and ensure alignment with security policies.</li></ul> 
Requirements<ul><li>Advanced proficiency in Tableau (dashboard design, calculated fields, parameters, data blending).</li><li>Strong knowledge of SQL, Excel, and other data manipulation tools.</li><li>Familiarity with statistical techniques (regression, clustering, hypothesis testing, forecasting).</li><li>Ability to apply diverse analysis techniques to solve complex business problems.</li><li>Excellent ability to understand client requirements and translate them into technical solutions.</li><li>Strong presentation and storytelling skills to communicate insights effectively.</li><li>Bachelor&rsquo;s degree in data science, Statistics, Computer Science, Business Analytics, or related field.</li><li>3&ndash;5 years of proven experience in data analysis and visualization.</li></ul>
Key Attributes:<ul><li>Detail-oriented with a passion for data accuracy and clarity.</li><li>Innovative thinker who can design creative solutions for complex problems.</li><li>Strong organizational skills with the ability to manage multiple projects simultaneously.</li><li>Collaborative team player with proactive communication.</li></ul></div>

New Metrics

<div>
 
 
 Join Our Team as a Data Scientist!
 
 
 
 
 
 
 
 
 
 New Metrics is a leading human-centric transformation consultancy, empowering organizations to enhance employee productivity, maximize customer lifetime value, and achieve sustainable growth. Our integrated approach combines advanced technology, real-time insights from structured and unstructured data, and a deep understanding of human behavior. New Metrics delivers end-to-end solutions across the customer lifecycle&mdash;from acquisition to advocacy&mdash;embedding ESG principles throughout. By leveraging data-driven insights and innovative strategies, we optimize customer journeys, boost loyalty, and enable clients to thrive in competitive, customer-focused markets.
 
 
 
 
 
 
 
 
 Our values&mdash;
 
 Be Bold, Be Curious, Be Human-Centric
 
 &mdash;guide everything we do. Our mission is to create meaningful impact by empowering businesses and delivering measurable human value.
 
 
 
 
 
 Click here to learn more about New Metrics.
 
 
 Click here to apply for the role.
 
 
 
 
 
 
 
 
 
 
 
 
 About the Job
 
 
 
 
 
 
 We are seeking a Data Scientist who will lead analytical design, model development, and experimental on across high-impact customer analytics initiatives such as Customer Lifetime Value (CLV), Predictive NPS/CSAT, Churn/Retention, and Customer Segmentation. The ideal candidate has strong hands-on expertise in predictive modelling, large-scale distributed computing (PySpark), and real-world deployment experience. A proven ability to work with large, complex datasets to translate business needs into scalable analytical solutions.
 
 
 
 
 
 
 
 
 
 
 
 
 Your Main Duties Will Include:
 
 
 
 
 
 
 
 
 
 
 Customer Analytics &amp; Predictive Modelling
 
 
 <ul>
 <li>
 Build and maintain CLV models (historical and/or predictive) incorporating revenue, costs, engagement signals, and churn/retention.
 </li>
 <li>
 Develop predictive NPS, satisfaction, and churn models to identify high-risk customers and key drivers of experience.
 </li>
 <li>
 Design customer segmentation (value-based, behavioral, RFM, clustering, predictive) to support targeting, campaigns, and product design.
 </li>
 <li>
 Ensure all models are robust, monitored, and explainable, with clear links to business objectives and measurable impact.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Data Wrangling &amp; Feature Engineering
 
 
 <ul>
 <li>
 Work with large, complex datasets from multiple sources such as CRM, transactional and interaction data, digital journeys, contact center data, and surveys/VoC.
 </li>
 <li>
 Use PySpark, Python, and SQL to clean, transform, and join data; build scalable feature pipelines.
 </li>
 <li>
 Partner with engineering to productionize models via batch jobs, APIs, and dashboards; ensure reliability and performance.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Evaluation &amp; Explainability
 
 
 <ul>
 <li>
 Define and track relevant metrics (AUC, F1, uplift, calibration, segment performance, stability, etc.).
 </li>
 <li>
 Use explainability techniques (feature importance, SHAP, or similar) to communicate model behavior clearly.
 </li>
 <li>
 Contribute to documentation, model monitoring, and retraining plans to sustain performance over time.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Stakeholder Engagement &amp; Storytelling
 
 
 <ul>
 <li>
 Translate business questions into clear analytical problems, hypotheses, and success criteria.
 </li>
 <li>
 Present insights and recommendations to CX, Marketing, Product, Digital, and Operations stakeholders.
 </li>
 <li>
 Prepare concise decks, summaries, and dashboards to support decisions and drive adoption.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 4+ years of hands-on experience in Data Science and Predictive Modelling within established or high-growth organizations.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
 </li>
 <li>
 Proven experience in end-to-end delivery of data science solutions&mdash;from problem framing and data preparation to model deployment and monitoring.
 </li>
 <li>
 Demonstrated delivery of at least one (production or advanced PoC) of the following:
 </li>
 <li>
 CLV / Profitability
 </li>
 <li>
 Churn / Propensity
 </li>
 <li>
 Predictive NPS / CSAT
 </li>
 <li>
 Customer segmentation at scale
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Technical Skills (Must-Have)
 
 
 <ul>
 <li>
 Strong proficiency in Python (pandas, scikit-learn, MLlib, or similar libraries).
 </li>
 <li>
 Strong proficiency in PySpark and working with large datasets on distributed platforms.
 </li>
 <li>
 Advanced SQL skills for complex querying, data transformation, and performance optimization.
 </li>
 <li>
 Experience using Power BI, Tableau, or similar tools for analytics, dashboards, and data storytelling.
 </li>
 <li>
 Experience with MLflow (or similar) for experiment tracking, model versioning, and lifecycle management.
 </li>
 <li>
 Solid understanding and hands-on experience with core Data Science concepts, including:
 </li>
 <li>
 
 Supervised learning:
 
 classification, regression, uplift modelling
 </li>
 <li>
 
 Unsupervised learning:
 
 clustering, dimensionality reduction
 </li>
 <li>
 Feature engineering, model tuning, and validation
 </li>
 <li>
 Experience working in a cloud or big data environment (Azure, AWS, GCP, Databricks, or similar).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Qualifications (Bonus)
 
 
 <ul>
 <li>
 Experience with Experience Management platforms such as Medallia, Qualtrics, or similar.
 </li>
 <li>
 Strong practical MLOps habits (monitoring, drift checks, reproducible pipelines, CI/CD collaboration).
 </li>
 <li>
 Exposure to NLP and text analytics (e.g., survey verbatims, call-center transcripts, complaint logs) applied to customer experience or insight use cases.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 What You Can Expect From Us
 
 
 
 
 
 
 
 
 
 At New Metrics, we are committed to creating an inclusive, flexible, human-centric and supportive work environment.
 
 
 When you join our team, you can expect:
 
 
 1. Exceptional trust based culture that fosters inclusion, creativity, and innovation:
 
 <ul>
 <li>
 91% of employees feel engaged, reflecting our ongoing efforts to deliver the best in class employee experience
 </li>
 <li>
 94% of our employees feel included and have a sense of belonging
 </li>
 <li>
 94% of employees trust their manager
 </li>
 </ul>
 
 2. Collaboration with a passionate and high-performing team that values appreciation of individual attributes and diverse perspectives
 
 
 3. Exposure to a global brand known for its commitment to excellence and making a difference in creating human value
 
 
 4. A comprehensive focus on flexibility, wellness and result orientation in operation
 
 
 5. Strong focus on life-long learning and continuous development, along with opportunities to enhance your skills and knowledge
 
 
 6. Equal opportunities for growth and development, supported by subsidized professional qualifications and paid professional memberships to advance your career
 
 
 7. A commitment to environmental sustainability, creating a positive impact on the world around us
 
 
 
 
 
 
 
 
 
 
 
 
 Join our passionate team at New Metrics and make a meaningful impact on the world of experience management! Our values, mission, and culture drive us to create flawless experiences that matter. If you're ready to delve deeper and contribute to our vision, apply now. We can't wait to hear from you!
 
 
</div>

Data Scientist

MASTER-WORKS

<div>collect, analyze, and interpret data, transforming it into actionable insights that support strategic and operational decision-making within the organization.
Responsibilities:
<ul><li>Gather data from various sources and ensure its accuracy and completeness.</li></ul>
<ul><li>Clean and process data to maintain quality and reliability.</li></ul>
<ul><li>Develop reports and dashboards using analytics tools such as Power BI or Tableau.</li></ul>
<ul><li>Analyze trends and patterns to provide data-driven recommendations.</li></ul>
<ul><li>Collaborate with different teams to understand their requirements and deliver analytical solutions.</li></ul>
<ul><li>Ensure data security and compliance with privacy policies.</li></ul>
Requirements
Requirements:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Information Technology, or a related field.</li><li>Proven experience in data analysis and reporting.</li><li>Strong proficiency in SQL, Excel, and visualization tools (Power BI, Tableau).</li><li>Basic programming knowledge (Python or R) is a plus.</li><li>
Excellent analytical skills and attention to detail.</li></ul>
Preferred Skills:<ul><li>Data Analysis &amp; Interpretation &ndash; Ability to analyze large datasets and extract meaningful insights.</li><li>Statistical Analysis &ndash; Understanding of basic statistics and probability for data-driven decisions.</li></ul>
Data Cleaning &amp; Preparation &ndash; Skills in handling missing data, outliers, and ensuring data quality.</div>

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 An AI Expert is a highly experienced professional with deep and broad knowledge across artificial intelligence who provides advanced guidance, mentorship, and problem‑solving on complex or cross‑cutting AI initiatives. &ldquo;AI Senior Consultant&rdquo; is the go‑to person (internal or external) who can connect the dots between AI domains and keep programs state‑of‑the‑art while aligning with business goals.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Technical advisory: Advise on hard AI problems, evaluate modeling approaches/architectures, and troubleshoot issues (e.g., training instability, non‑convergence, data leakage). Review project plans and model designs for soundness.
 </li>
 <li>
 Thought leadership &amp; strategy: Identify high‑value opportunities for AI, assess emerging technologies, and recommend strategic directions (e.g., where to invest in new capabilities or data assets).
 </li>
 <li>
 Cross‑department collaboration: Liaise across projects to avoid duplicated effort, share approaches, and translate AI capabilities/limitations for executives and non‑technical stakeholders.
 </li>
 <li>
 R&amp;D and innovation: Stay current with research, prototype novel ideas, and participate in external communities (conferences, publications, open‑source) to keep practices cutting edge.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: Typically 5+ years in AI/ML (fewer if experience includes significant, high‑impact contributions across multiple projects).
 </li>
 <li>
 Portfolio: Evidence of impact such as patents, publications, open‑source contributions, or high‑profile project outcomes.
 </li>
 <li>
 External recognition: Speaking engagements, standards/consortium participation, or similar indicators of recognized expertise.
 </li>
 <li>
 Teaching/mentoring: Demonstrated experience coaching teams and institutionalizing best practices.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
 
 
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
</div>

AI Consultant

HCLTech

<div>
 
 SAP FICO_FM
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 <ul>
 <li>
 The consultant will interact with customer team members to understand customer's pain points, business requirements and provide solution.
 </li>
 <li>
 He/she will provide technical expertise on the Financial Reporting using S/4 HANA.
 </li>
 <li>
 Must be able to work independently and follow through on all aspects of responsibilities, handling multiple initiatives.
 </li>
 <li>
 For this Role, consultant should have experience in at least 1 Support Project with S/4 HANA or S/4 Greenfield and Migration experience.
 </li>
 <li>
 Participate/manage important client engagement teams regarding the Support of mainly SAP S/4 HANA Finance &ndash; FICO &amp; Funds Management.
 </li>
 <li>
 Assist/Manage client independently from requirement gathering to Solution delivery and ensure that high-quality results are obtained for all our clients.
 </li>
 <li>
 Provide consulting advice to customers on FICO &amp; FM Business Processes and You will assist customers in the decision process.
 </li>
 <li>
 Be able to give process trainings &amp; Documentation to clients.
 </li>
 <li>
 You will oversee SAP FI/CO &amp; FM design, development, integration, report, and daily tickets support activities.
 </li>
 <li>
 Actively share product and functional knowledge within the team.
 </li>
 <li>
 The right candidate will have good grasp of business processes in context of Analytics and has proven expertise in guiding customers towards desired outcome.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Functional CONFIGURATION experience with SAP FICO &amp; FM modules
 
 
 <ul>
 <li>
 New General Ledger
 </li>
 <li>
 Accounts Payable
 </li>
 <li>
 Accounts Receivable
 </li>
 <li>
 Fixed Assets
 </li>
 <li>
 Cost and Profit Centre Accounting
 </li>
 <li>
 Internal Orders
 </li>
 <li>
 KSA Taxes
 </li>
 <li>
 Budget Process
 </li>
 <li>
 Experience on standard reports
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ROLE REQUIREMENT (Qualification/Skills and Competencies)
 
 
 <ul>
 <li>
 A degree in computer science, engineering, accounting, finance, or related field
 </li>
 <li>
 Minimum years of Education required: 16 years or more years.
 </li>
 <li>
 Good problem solving and troubleshooting skills.
 </li>
 <li>
 Good core consulting skills - Oral and written communication, organization and planning, client facing.
 </li>
 </ul>
 
 
</div>

SAP FICO Consultant (Arabs Only)

Explore 295+ Analytics consultant in Riyadh Saudi Arabia this January. Find roles across top companies and apply now to boost your career.

295 analytics consultant jobs IN Riyadh Saudi Arabia

Audit Analytics Consultant

Data Analyst

Data Analyst

Data Scientist

Data Analyst

AI Consultant

SAP FICO Consultant (Arabs Only)