senior business analyst

business analyst

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

data analyst

powerbi developer

data analytics

Confidential Government

<div>
 
 We are seeking a skilled
 
 Data Analytics Manager
 
 to lead our data analytics team, driving insights and supporting data-driven decision-making across the organization.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Lead and manage the data analytics team to deliver actionable insights.
 </li>
 <li>
 Design, implement, and maintain data models, dashboards, and reporting tools.
 </li>
 <li>
 Collaborate with business units to understand analytics needs and translate them into solutions.
 </li>
 <li>
 Analyze complex datasets to identify trends, patterns, and opportunities.
 </li>
 <li>
 Ensure data quality, integrity, and governance across analytics initiatives.
 </li>
 <li>
 Present insights and recommendations to senior management to support strategic decisions.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Statistics, Computer Science, or a related field (master&rsquo;s preferred).
 </li>
 <li>
 7+ years of experience in data analytics, with at least 3 years in a managerial role.
 </li>
 <li>
 Strong knowledge of data visualization tools (e.g., Power BI, Tableau) and analytics platforms.
 </li>
 <li>
 Proficiency in SQL, Python, R, or similar analytics languages.
 </li>
 <li>
 Excellent leadership, communication, and problem-solving skills.
 </li>
 </ul>
</div>

Data Analytics Manager

alfanar

<div>
 Job description:
 
 
 Job Purpose
 
 Leads delivery and execution of enterprise data and analytics solutions, overseeing BI, analytics, and data infrastructure teams to deliver accurate, integrated insights and align data initiatives with business goals.
 
 Key Accountability Areas
 
 Strategic Leadership in Data &amp; Analytics:
 
 <ul>
 <li>
 Define and drive the overall data and analytics strategy aligned with the organization&rsquo;s vision, mission, and strategic objectives.
 </li>
 <li>
 Lead the development and execution of enterprise-wide data initiatives, ensuring integration across BI, analytics, and data infrastructure functions.
 </li>
 <li>
 Champion a data-driven culture by promoting the use of analytics in decision-making across business units.
 </li>
 </ul>
 
 Oversight of BI, Analytics, and Data Infrastructure:
 
 <ul>
 <li>
 Oversee the design, development, and delivery of dashboards, reports, and visualizations that provide actionable insights.
 </li>
 <li>
 Guide the development of advanced analytics models and ensure their alignment with business needs.
 </li>
 <li>
 Ensure robust architecture and governance of data warehouses and data lakes to support scalable and secure data operations.
 </li>
 </ul>
 
 Stakeholder Engagement and Collaboration:
 
 <ul>
 <li>
 Act as the primary liaison between the data &amp; analytics function and business stakeholders to ensure alignment of data initiatives with business priorities.
 </li>
 <li>
 Translate complex data concepts into business-friendly language to support executive decision-making.
 </li>
 </ul>
 
 Innovation and Technology Enablement:
 
 <ul>
 <li>
 Evaluate and implement emerging technologies and tools to enhance data capabilities across the organization.
 </li>
 <li>
 Foster innovation by encouraging experimentation with new data methodologies, tools, and platforms.
 </li>
 </ul>
 
 Data Governance and Quality Assurance:
 
 <ul>
 <li>
 Establish and enforce data governance frameworks, policies, and standards to ensure data integrity, security, and compliance.
 </li>
 <li>
 Monitor data quality across systems and lead initiatives to improve data accuracy and reliability.
 </li>
 </ul>
 Role Accountability
 
 HR Proficiency:
 
 <ul>
 <li>
 Ability to recruit, recognize and cultivate high performers and expose them in order to create a robust second line of management.
 </li>
 <li>
 Ability to recognize low performers and guide them to improve or release them.
 </li>
 <li>
 Ability to treat subordinates equally without any discrimination.
 </li>
 <li>
 Assessment criteria of subordinates is performance that leads to planned results.
 </li>
 <li>
 Ensure availability of delegation of authority matrix to have sufficient delegations as per company policy.
 </li>
 </ul>
 
 Responsibility:
 
 <ul>
 <li>
 Must take full responsibility for his operation as per the job description and the required deliverables from this position, taking into consideration the general company guidelines.
 </li>
 <li>
 Able to anticipate problems and make the necessary proactive steps to prevent them
 </li>
 <li>
 Ability to take necessary and proper timely decisions.
 </li>
 </ul>
 
 Delivery
 
 :
 
 
 <ul>
 <li>
 Deliver the required results in timely manner with required quality and cost.
 </li>
 </ul>
 
 Making a Tangible Difference:
 
 <ul>
 <li>
 Must make a tangible difference to his area of operation. and exceed business expectations.
 </li>
 <li>
 Able to transform the corporate goals into business plans.
 </li>
 <li>
 Able to Plan, follow-up and execute those plans, whether they are annual or development plans.
 </li>
 <li>
 Monitor the plan performance and initiate action to strengthen results and take the corrective action accordingly.
 </li>
 <li>
 Provide periodic work progress reports.
 </li>
 <li>
 Responsible for monitoring and controlling budgets and expenses to achieve the optimum cost efficiency.
 </li>
 <li>
 Develop the organizational structure according to the current requirements taking into consideration future and development plans.
 </li>
 <li>
 Ensure availability of job descriptions for all job roles and deploy them.
 </li>
 <li>
 Develop, coordinate well-defined written systems, policies, procedures, and seeking automations opportunities as much as possible.
 </li>
 <li>
 Should be conversant and able to navigate through IT solutions especially those relevant to his job and business.
 </li>
 <li>
 Promote the automated systems and using them fully, to spread its culture.
 </li>
 </ul>
 
 Quality:
 
 <ul>
 <li>
 Quality is considered as alfanar&rsquo;s prime competitive advantage as such, managers are expected to act accordingly.
 </li>
 </ul>
 Academic Qualification Bachelor Degree in Computer Science or Any relevant fieldWork Experience 6 to 10 YearsTechnical / Functional Competencies Business AnalysisBig Data AnalyticsData Mining
 
 
 Profile description:
 
 
 
 Alfanar is a Saudi company with an international presence, primarily engaged in the manufacturing and trading of a wide variety of low, medium, and high voltage electrical products, in addition to its portfolio of conventional and renewable energy solutions, oil and gas, water treatment, infrastructure, technical services, and digital solutions.
 
 
 &nbsp;
 
 
 The hub of alfanar&rsquo;s manufacturing operations is Medinet alfanar Alsinaiya, a 700,000 square-meter complex located in Riyadh. The complex houses an array of ultra-modern manufacturing facilities and laboratories equipped with state-of-the-art technologies and staffed with highly skilled professionals.
 
 
 &nbsp;
 
 
 alfanar derives its success from its commitment to providing the highest quality standards to its customers, and the continuous development of its human capital, who alfanar considers its most valuable asset. With this in mind, alfanar promotes a proactive work environment where its employees are always valued, nurtured, and empowered to fuel their pride in being part of alfanar.
 
 
 &nbsp;
 
 
 For more information about alfanar, please visit alfanar.com
 
</div>

TEAM LEAD, DATA & ANALYTICS SERVICES

<div>We&rsquo;re seeking a future team member for the role of Pre-Sales Engineer to join our Data and Analytics team, the fintech arm of BNY. This role will focus on the software solutions of Eagle Accounting, Performance, and Data Management, P-Control for Milestone, as well Data Vault, our public cloud solution. This role is located in Saudi Arabia .
In this role, you&rsquo;ll make an impact in the following ways:
<ul><li>The Sales Engineer is responsible for conducting informative product demonstrations and presentations for potential customers at any location within KSA as well as the wider EMEA region. Showcasing the features, functions, and value propositions for the D&amp;A suite of products.
</li><li>In addition to demonstrations, s/he is responsible for completing incoming Request for Information (RFI) and Request for Proposal (RFP) documentation.
</li><li>Lead the development and execution of proof of concept (PoC) projects to demonstrate the feasibility and effectiveness of our software solutions in addressing customer challenges. This includes activities such as loading sample data, identifying business requirements/challenges and playing back solutions to prospective clients.
</li></ul>To be successful in this role, we&rsquo;re seeking the following:
<ul><li>10+ years&rsquo; experience in a sales engineering, technical sales, or similar role within the software/financial services industry.
</li><li>Experience with Financial Software solutions is preferred.
</li><li>Experience with cloud platforms and technologies (e.g., AWS, Azure, Snowflake).
</li><li>Strong SQL skills, Python is a plus.
</li><li>Ability to work as part of a team is mandatory.
</li><li>BS/BA degree
</li><li>Extensive travel normally required.
</li><li>Excellent oral, written and presentation skills. Prior public speaking or presentation experience is preferred.
</li><li>Fluency in English and Arabic are essential to support the client segment.</li></ul></div>

SVP, Pre-Sales Engineer (Data & Analytics, Saudi Arabia)

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 <ul>
 <li>
 The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
 </li>
 <li>
 The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
 </li>
 <li>
 Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow
 
 
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Lead End-to-End Data Science Delivery
 </li>
 <li>
 Developing, implementing and maintaining databases and data collection systems
 </li>
 <li>
 Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
 </li>
 <li>
 Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
 </li>
 <li>
 Performing statistical analysis to understand and interpret data insights
 </li>
 <li>
 Applying data mining techniques to identify patterns, trends, and relationships in large datasets
 </li>
 <li>
 Building predictive models and machine learning algorithms to forecast future outcomes
 </li>
 <li>
 Creating clear data visualizations and reports to communicate findings to stakeholders
 </li>
 <li>
 Working with cross-functional teams to understand business needs and provide data-driven solutions
 </li>
 <li>
 Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
 </li>
 <li>
 Ensuring data security and compliance with relevant regulations
 </li>
 <li>
 Drive experimentation, model versioning, automated retraining, and continuous improvement.
 </li>
 <li>
 Translate Business Needs into AI/Analytics Solutions
 </li>
 <li>
 Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
 </li>
 <li>
 Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
 </li>
 <li>
 Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
 </li>
 <li>
 Industrialize AI/ML Models (ML Ops &amp; Architecture)
 </li>
 <li>
 Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
 </li>
 <li>
 Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
 </li>
 <li>
 Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
 </li>
 <li>
 Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
 </li>
 <li>
 Responsible AI, Quality &amp; Governance
 </li>
 <li>
 Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
 </li>
 <li>
 Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
 </li>
 <li>
 Ensure transparency, explainability, and continuous model governance across production and enterprise environments
 </li>
 <li>
 Stakeholder Management &amp; Value Realization
 </li>
 <li>
 Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
 </li>
 <li>
 Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 
 Minimum Qualification, Experience and Core Competencies:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 Good to Have Capabilities
 
 
 <ul>
 <li>
 Minimum Experience:
 </li>
 <li>
 6+ years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
 </li>
 <li>
 Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
 </li>
 <li>
 Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
 </li>
 <li>
 Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
 </li>
 <li>
 Machine Learning &amp; Advanced Analytics
 </li>
 <ul>
 <li>
 Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
 </li>
 <li>
 Strong understanding of model performance, validation, stability, and business impact
 </li>
 </ul>
 <li>
 Generative AI &amp; AI Agents
 </li>
 <ul>
 <li>
 Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
 </li>
 <li>
 Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
 </li>
 </ul>
 </ul>
 Preferred Experience &amp; Platforms
 
 
 <ul>
 <li>
 Data Engineering (IT + OT)
 </li>
 <li>
 Experience designing and maintaining data pipelines across IT and OT environments
 </li>
 <li>
 Exposure to sensor data, streaming / real-time data processing, and industrial data sources
 </li>
 <li>
 Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
 </li>
 <li>
 MLOps / AgentOps
 </li>
 <li>
 Experience in model deployment and lifecycle management, including:
 </li>
 <ul>
 <li>
 Transition from model development to production and scale
 </li>
 <li>
 Monitoring, retraining, versioning, and drift management
 </li>
 </ul>
 <li>
 Familiarity with automation and operationalization of ML/AI workloads
 </li>
 </ul>
 <ul>
 <li>
 Cloud &amp; Analytics Platforms
 </li>
 <li>
 Experience working with enterprise cloud platforms, preferably:
 </li>
 <ul>
 <li>
 Microsoft Azure Data Platform
 </li>
 <li>
 Databricks AI Platform
 </li>
 <li>
 Microsoft AI Foundry / Microsoft AI Factory
 </li>
 </ul>
 <li>
 Understanding of cloud-native architectures for scalable analytics and AI solutions
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
 </li>
 <li>
 Adoption &amp; Business Impact: Value realized, user adoption, integration success.
 </li>
 <li>
 Delivery Velocity: Timeliness of development cycles and deployment readiness.
 </li>
 <li>
 Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
 </li>
 </ul>
</div>

Lead Specialist, Data Science & Analytics II

MA'ADEN

<div><div>Job Purpose
Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI implementation. 
 Key Accountabilities
<div><ul><li>Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).
</li></ul><ul><li>Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
</li></ul><ul><li>Perform feature engineering, model tuning, and performance optimization.
</li></ul><ul><li>Prepare, cleanse, and transform structured and unstructured datasets.
</li></ul><ul><li>Support deployment of ML and GenAI models using MLOps and LLMOps practices.
</li></ul><ul><li>Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.
</li></ul><ul><li>Integrate AI solutions via APIs into enterprise systems.
</li></ul><ul><li>Document model design, assumptions, risks, and validation results.
</li></ul><ul><li>Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.
</li></ul><ul><li>Support monitoring, retraining, and lifecycle management of deployed models.
</li></ul></div>Minimum Qualification, Experience and Competencies
<div><ul><li>Minimum Qualification
</li></ul></div><ul><li>Bachelor&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field
</li></ul>Minimum Experience
<ul><li>4&ndash;6 years in data science, machine learning, or applied AI roles.
</li></ul>Skills:
<ul><li>Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
</li><li>Prompt engineering
</li><li>RAG pipelines &amp; vector databases
</li><li>Model fine-tuning and evaluation
</li><li>Data preprocessing &amp; feature engineering
</li><li>Basic cloud deployment concepts
</li><li>MLOps / LLMOps fundamentals
</li><li>Analytical problem-solving
</li><li>Results Orientation
</li><li>Collaboration
</li><li>Continuous Improvement
</li><li>Accountability</li></ul></div></div>

Senior Specialist, Data Science & Analytics II

Muller's Solutions

<div>Job Summary
We are seeking an experienced Power BI Developer with 5&ndash;6 years of experience in designing and delivering enterprise-grade business intelligence solutions. The ideal candidate should have strong expertise in Power BI, DAX, Power Query, SQL, BigQuery, data modeling, and Row-Level Security (RLS). The candidate will be responsible for developing interactive dashboards and analytical solutions that support business decision-making, with a focus on KPI reporting, inventory analytics, and executive dashboards.
Key Responsibilities<ul><li>
Design, develop, and maintain interactive and visually compelling Power BI dashboards and reports.
</li><li>Build and optimize KPI dashboards, inventory analytics solutions, and executive reporting dashboards.
</li><li>Develop complex calculations and business logic using DAX.
</li><li>Use Power Query to perform data extraction, transformation, and preparation activities.
</li><li>Design and implement scalable and efficient data models to support reporting and analytics requirements.
</li><li>Develop and optimize SQL queries and integrate data from BigQuery and other enterprise data sources.
</li><li>Implement and manage Row-Level Security (RLS) to ensure secure access to data.
</li><li>Collaborate with business stakeholders to gather requirements and translate them into analytical solutions.
</li><li>Monitor, troubleshoot, and optimize report performance and data refresh processes.
</li><li>Ensure data accuracy, consistency, and adherence to data governance standards.
</li><li>Support report deployment, maintenance, and enhancements across development and production environments.
</li><li>Provide documentation, user training, and ongoing support for BI solutions.</li></ul> 

Requirements 

Technical RequirementsMust-Have Skills<ul><li>
5&ndash;6 years of experience in Business Intelligence or Power BI development.
</li><li>Strong hands-on experience with:
</li><li><ul><li>Power BI
</li><li>DAX
</li><li>Power Query
</li><li>SQL
</li><li>Google BigQuery
</li><li>Data Modeling
</li><li>Row-Level Security (RLS)
</li></ul></li><li>Experience in developing enterprise-level dashboards and reporting solutions.
</li><li>Strong understanding of data warehousing concepts and BI best practices.
</li><li>Experience in data integration, transformation, and performance optimization.
</li><li>Proficiency with version control and collaborative development practices.
</li></ul>Good-to-Have Skills<ul><li>
Experience with Paginated Reports in Power BI Report Builder.
</li><li>Experience in Power BI Service administration, including workspace management, gateways, and deployment pipelines.
</li><li>Knowledge of data governance, data quality, and security practices.
</li><li>Experience integrating Python or R within Power BI for advanced analytics and visualizations.
</li><li>Familiarity with Azure DevOps for source control and release management.
</li></ul>Preferred Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and stakeholder management abilities.
</li><li>Experience working with enterprise-scale analytics and reporting platforms.</li></ul></div>

Power BI Developer Immediate Joining (3Month)

Incorta

<div>
 Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
 
 
 We are seeking a talented Presales Solutions Engineer to join our growing team in Saudi Arabia
 
 
 Arabia. The ideal candidate will have a strong background in Data Analytics, Data Management,
 
 
 and Data Engineering, with proven experience supporting enterprise sales cycles. Knowledge of
 
 
 Generative AI technologies and how they apply to analytics and decision-making are highly
 
 
 desirable.
 
 
 This individual will work closely with the sales team, prospects, and customers to demonstrate
 
 
 How Incorta&rsquo;s Unified Data and Analytics Platform can solve complex data challenges and
 
 
 deliver rapid business value.
 
 
 
 YOU WILL
 
 
 
 <ul>
 <li>
 Partner with Sales to deliver compelling value propositions, product demonstrations, and
 </li>
 <li>
 Proofs of Concept (POCs) to prospective customers.
 </li>
 <li>
 Lead technical discovery sessions with customers to understand their data architecture, business needs, and current pain points.
 </li>
 <li>
 Translate customer requirements into Incorta-based solutions, showcasing our Advantages in real-time data ingestion, transformation, and visualization.
 </li>
 <li>
 Build custom demos and POCs, leveraging Incorta&rsquo;s platform (including Incorta Nexus GenAI), Data Apps, and integration with source systems like Oracle, SAP, Snowflake, etc.
 </li>
 <li>
 Explain data modeling concepts, query optimization, and data pipeline architecture to both technical and business audiences.
 </li>
 <li>
 Collaborate with product and engineering teams to provide feedback from the field.
 </li>
 <li>
 Present at events, webinars, and customer workshops as a technical expert.
 </li>
 <li>
 Stay updated with data trends, GenAI developments, and regional market demands.
 </li>
 <li>
 Support RFPs/RFIs and contribute to technical proposals.
 
 
 </li>
 </ul>
 
 YOU HAVE
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in Presales, Solutions Engineering, or related customer-facing
 </li>
 <li>
 technical roles.
 </li>
 <li>
 Strong understanding of data platforms, including data modeling, ETL/ELT pipelines, and data warehousing concepts.
 </li>
 <li>
 Familiarity with data management practices, including governance, quality, and metadata.
 </li>
 <li>
 Hands-on experience with platforms like Incorta, Snowflake, Databricks, MS Fabric, or similar is a plus.
 </li>
 <li>
 Exposure to or understanding of Generative AI (LLMs, RAG, AI copilots) in analytics is a strong plus.
 </li>
 <li>
 Strong communication and presentation skills in both English and Arabic.
 </li>
 <li>
 Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Strong SQL skills; knowledge of Python is a plus.
 </li>
 <li>
 Experience designing or presenting cloud-based architectures (AWS, GCP, Azure).
 </li>
 <li>
 Familiarity with NDMO, PDPL, or regional data regulations is a plus.
 </li>
 <li>
 Ability to engage with both technical and executive-level stakeholders.
 
 
 </li>
 </ul>
 We could tell you that we&rsquo;re building something that truly optimizes the way business intelligence is done. We could also tell you that we&rsquo;re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine&rsquo;s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner&reg; Magic Quadrant&trade; and the 2022 Gartner&reg; Market Guide. All true, but the real reason you will want to come work for Incorta is that you&rsquo;ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.
 
 
 Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
</div>

Senior Presales Solutions Engineer

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