applied analytics specialist Jobs in Doha

applied analytics specialist

data analyst

data scientist (ami)

data steward

infrastructure data engineer Jobs in Doha

infrastructure data engineer

data scientist

malomatia

<div>
 
 Job Description
 
 
 
 Must Have
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in data science, analytics, or a quantitative modeling role.
 </li>
 <li>
 Hands-on proficiency in Python (pandas, NumPy, scikit-learn) and SQL for building and evaluating models end to end.
 </li>
 <li>
 Demonstrated ability to design experiments, validate model performance, and guard against overfitting and data leakage.
 </li>
 <li>
 Clear, reproducible, and well-documented analytical practice.
 </li>
 <li>
 Ability to communicate findings clearly to both technical colleagues and business stakeholders.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with visualization tools such as matplotlib, seaborn, Power BI, or Tableau.
 </li>
 <li>
 Exposure to cloud analytics environments, ideally Oracle Cloud Infrastructure (OCI).
 </li>
 <li>
 Experience with time-series analysis or natural-language data.
 </li>
 <li>
 Familiarity with collaborative workflows and code review.
 </li>
 <li>
 Exposure to working with engineering teams on model handoff.
 </li>
 <li>
 Data science certifications.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct exploratory data analysis to uncover patterns, relationships, and opportunities in client and operational data.
 </li>
 <li>
 Build, train, and evaluate predictive and descriptive models using Python (pandas, scikit-learn) and SQL.
 </li>
 <li>
 Build and evaluate deep learning models, such as neural networks, using frameworks like TensorFlow or PyTorch where they suit the problem.
 </li>
 <li>
 Perform feature engineering, data cleaning, and dataset preparation for modeling.
 </li>
 <li>
 Design and analyze experiments, including A/B tests, to measure the impact of changes and interventions.
 </li>
 <li>
 Prototype analytical solutions and iterate on them based on stakeholder and senior data scientist feedback.
 </li>
 <li>
 Create clear visualizations, dashboards, and summaries that translate analysis into business insight.
 </li>
 <li>
 Validate model performance using appropriate metrics and guard against overfitting and data leakage.
 </li>
 <li>
 Document methodology, assumptions, and results to ensure reproducibility and knowledge sharing.
 </li>
 <li>
 Collaborate with senior data scientists, engineers, and analysts on larger initiatives.
 </li>
 <li>
 Support the preparation of analytical reports and presentations for clients and internal teams.
 </li>
 <li>
 Maintain and improve existing analytical code and notebooks
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Data Science) or equivalent experience; Master's an advantage.
 </li>
 <li>
 Proficiency in Python for data analysis (pandas, NumPy, scikit-learn) and working knowledge of SQL.
 </li>
 <li>
 Solid grounding in statistics and core machine-learning techniques (regression, classification, clustering).
 </li>
 <li>
 Working knowledge of deep learning concepts and frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Experience with feature engineering and preparing real-world, messy datasets for modeling.
 </li>
 <li>
 Ability to communicate findings clearly to technical and business audiences.
 </li>
 <li>
 Understanding of model evaluation metrics and validation techniques.
 </li>
 <li>
 Familiarity with version control (Git) and reproducible analysis practices.
 </li>
 </ul>
</div>

Data Scientist

Inspire Management Training Center

,artificialThe Data Scientist (AMI) is responsible for analyzing smart meter and energy consumption data from Advanced Metering Infrastructure systems to generate actionable insights for utility operations. The role focuses on predictive analytics, anomaly detection, forecasting, and optimization of energy usage, supporting data-driven decision-making, operational efficiency, and smart grid improvements.Job Responsibilities<ul><li>Analyze large volumes of AMI smart meter data to identify trends, patterns, and anomalies.</li><li>Develop predictive models for energy consumption, load forecasting, and outage detection.</li><li>Perform data cleaning, transformation, and feature engineering on AMI datasets.</li><li>Build and deploy statistical and machine learning models to support utility operations.</li><li>Detect meter faults, non-technical losses (NTL), and abnormal consumption behavior.</li><li>Develop dashboards, reports, and visualizations to communicate insights to stakeholders.</li><li>Collaborate with AMI engineers, data engineers, and business teams to define analytics requirements.</li><li>Support Meter Data Management System (MDMS) analytics and data validation processes.</li><li>Optimize algorithms for scalability and real-time or near real-time analytics.</li><li>Ensure data quality, governance, and compliance with utility and regulatory standards.</li></ul>Qualifications<ul><li>Master&rsquo;s or PHD in Data Science, AI, Computer Science or related field.</li><li>Certified in advanced data science, machine learning or artifical intelligence</li><li>Minimum 13 years of experience in data science, or advanced analytics, preferably in utlities or energy sector</li><li>Strong knowledge of machine learning, statistical modeling, and data mining techniques.</li><li>Proficiency in Python or R and data libraries such as Pandas, NumPy, Scikit-learn.</li><li>Experience with SQL and handling large-scale datasets.</li><li>Familiarity with AMI systems, smart metering, or energy utilities is preferred.</li><li>Experience with visualization tools such as Power BI, Tableau, or similar.</li></ul>Education:<ul><li>Doctorate (Required)</li></ul>Experience:<ul><li>Data Scientist: 10 years (Required)</li></ul>License/Certification:<ul><li>Advanced Data Science, machine learning, or AI (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>Work Location: In person

Data Scientist (AMI)

Confidential

<ul><li>Analyze metering data from Advanced Metering Infrastructure (AMI) and related systems to identify consumption patterns, trends, anomalies, and operational insights.</li><li>Prepare analytical reports, dashboards, and performance summaries to support management decision-making and operational planning.</li><li>Monitor AMI network data health by performing regular data validation, cleansing, reconciliation, and quality assurance activities.</li><li>Coordinate with metering, IT, engineering, and operations teams to ensure data accuracy, consistency, and integrity across all integrated systems.</li><li>Investigate data anomalies, communication failures, and system performance issues, and recommend corrective and preventive actions.</li><li>Support performance monitoring, forecasting, and continuous improvement initiatives to enhance metering operations and data reliability.</li><li>Track and analyze operational activities, including work orders, meter commissioning, rectification works, preventive, predictive, corrective, and emergency maintenance, and work completion documentation using structured data analytics.</li><li>Maintain the confidentiality, integrity, and availability of metering data in accordance with corporate governance and information security standards.</li><li>Perform any other duties and responsibilities assigned by the immediate supervisor to support departmental and organizational objectives.</li></ul>

Data Analyst

Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions. Key Responsibilities:<ul><li>Develop predictive and statistical models</li><li>Identify trends, anomalies, and optimization opportunities</li><li>Translate data insights into actionable strategies</li><li>Support deployment of analytics solutions</li></ul> Requirements:<ul><li>Master’s or PhD in Data Science, AI, or related field</li><li>10–13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul>

Applied Analytics Specialist

<div>
 
 Overview
 
 
 
 
 
 We are seeking a Senior ETL Designer &amp; Developer to design, build, and support enterprise-scale data integration and analytics solutions across Informatica PowerCenter, Teradata EDW, and Google Cloud Platform (GCP). The role involves developing scalable ETL pipelines, enabling telecom data processing, supporting enterprise reporting (including ad-hoc analytics), and optimizing large-scale EDW environments.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 ETL &amp; Data Engineering
 
 <ul>
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 Design, develop, and maintain ETL/ELT workflows using Informatica PowerCenter
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 Build scalable batch and near real-time data pipelines
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 Develop reusable mappings, workflows, and transformation logic
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 Automate ETL processes using Unix shell scripting
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 </ul>
 
 Data Warehouse (Teradata)
 
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 Work extensively with Teradata Enterprise Data Warehouse environments
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 Strong experience with Teradata CLDM (Common Logical Data Model)
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 Design and manage EDW layered architecture (Staging, ODS, EDW, Data Marts)
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 Extensive expertise in Teradata performance optimization techniques including: Explain plan analysis, Partitioning strategies, Join/index optimization (PI, NUSI, etc.), Query tuning and workload management
 </li>
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 Strong Teradata SQL coding expertise for complex transformations and large datasets
 </li>
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 Design and optimize dimensional models (star/snowflake schemas)
 </li>
 </ul>
 
 Cloud Data Engineering
 
 <ul>
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 Develop solutions on Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub)
 </li>
 <li>
 Implement and support hybrid data architectures integrating on-prem EDW with cloud systems
 </li>
 </ul>
 
 BI, Reporting &amp; Data Virtualization
 
 <ul>
 <li>
 Support enterprise BI tools: SAP BusinessObjects, Qlik Sense, Looker
 </li>
 <li>
 Support ad-hoc reporting requirements from business users using EDW and BI layers
 </li>
 <li>
 Work with Denodo Platform for federated data access, performance optimization, and logical data modeling
 </li>
 </ul>
 
 Telecom Domain Experience
 
 <ul>
 <li>
 Strong experience in telecom OSS/BSS data environments
 </li>
 <li>
 Hands-on knowledge of: CDR/IPDR data processing; Billing, CRM, and subscriber lifecycle data; Network performance, fault, and mediation systems
 </li>
 <li>
 Understanding of telecom KPIs (ARPU, churn, usage patterns, QoS metrics)
 </li>
 <li>
 Experience handling high-volume, complex telecom datasets
 </li>
 </ul>
 
 Scripting &amp; Performance Optimization
 
 <ul>
 <li>
 Strong expertise in Unix shell scripting for automation, scheduling, and monitoring
 </li>
 <li>
 Advanced Teradata performance tuning and optimization for large-scale workloads
 </li>
 <li>
 Optimize ETL jobs, SQL queries, and EDW processes for scalability and efficiency
 </li>
 <li>
 Troubleshoot pipeline failures and ensure system reliability
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 7+ years of experience in ETL development and data warehousing
 </li>
 <li>
 Strong hands-on experience with Informatica PowerCenter
 </li>
 <li>
 Deep expertise in Teradata EDW, including CLDM and optimization techniques
 </li>
 <li>
 Strong Teradata SQL coding and performance tuning skills
 </li>
 <li>
 Experience with EDW architecture (Staging, ODS, EDW, Data Marts)
 </li>
 <li>
 Advanced SQL and data modeling (Kimball/Inmon)
 </li>
 <li>
 Experience with Google Cloud Platform data services
 </li>
 <li>
 Unix shell scripting for automation
 </li>
 <li>
 Telecom domain experience (preferred/required based on role level)
 </li>
 </ul>
 
 Preferred Skills
 
 <ul>
 <li>
 Cloud migration experience (on-prem EDW to GCP)
 </li>
 <li>
 Python or additional scripting/automation skills
 </li>
 <li>
 CI/CD pipelines for data engineering workflows
 </li>
 <li>
 Experience with BI semantic layers and enterprise reporting frameworks
 </li>
 <li>
 Experience supporting ad-hoc business reporting in enterprise environments
 </li>
 </ul>
 
 Soft Skills
 
 <ul>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Analytical thinking and strong problem-solving ability
 </li>
 <li>
 Ability to work in agile, fast-paced environments
 </li>
 <li>
 Strong ownership mindset with focus on data quality and delivery
 </li>
 </ul>
</div>

Senior ETL Designer & Developer

DOHA BANK

<div>
 
 
 Role Objective
 
 
 
 
 
 
 The incumbent will perform activities pertaining to Data Privacy across Doha Bank, in line with policies, procedures and applicable Data Privacy laws and regulations. The incumbent will support in development and implementation of the bank&rsquo;s Data Privacy Program, ensure data compliance through relevant mechanism, and impart staff training in close coordination with the relevant stakeholders.
 
 
 
 
 
 
 Detailed Roles and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Perform all operational activities as assigned by the reporting authority, in compliance with local regulations, Doha Bank&rsquo;s policies and units/departments approved policies and procedures.
 </li>
 <li>
 Support in development and implementation of the bank&rsquo;s Data Privacy framework, and program in accordance with relevant Data Privacy laws and regulations.
 </li>
 <li>
 Work closely with the respective stakeholders to ensure compliance with applicable Data Privacy laws and regulations for the bank.
 </li>
 <li>
 Prepare Data Privacy policies, procedures &amp; notices and perform annual review of these documents for their compliance to legal, regulatory and organizational updates.
 </li>
 <li>
 Work closely with the relevant stakeholders in implementation of the Data Privacy policies, procedures and notices across the Bank.
 </li>
 <li>
 Assist the Privacy Champions and IT Application Managers in maintenance of Record of Processing Activities and Data Flow Diagrams (DFDs).
 </li>
 <li>
 Perform Data Privacy Impact Assessment of the bank&rsquo;s business process and IT applications processing personal data of the staff, customers, vendors, etc.
 </li>
 <li>
 Coordinate with relevant stakeholders to ensure all business processes adhere to internal Data Privacy policies and procedures.
 </li>
 <li>
 Coordinate with IT Application owners to ensure all IT Applications containing personal data adhere to internal Data Privacy policies and procedures.
 </li>
 </ul>
 
 
 
 
 
 Educational Qualifications and Experience:
 
 
 
 
 
 <ul>
 <li>
 University graduate with a degree in Computer Science, Computer Engineering, Information Security or any other related discipline.
 </li>
 <li>
 05-08 years of total experience in financial services/banking industry, entailing responsibilities pertaining to the specific area of discipline.
 </li>
 <li>
 Previous experience in Data Privacy /Data Protection or data compliance in financial services industry.
 </li>
 </ul>
</div>

Data Privacy Officer

Iberdrola

<div>We are looking for a highly technical, execution-focused Product Delivery Lead to bridge the gap between closed sales and active customer success. In this role, you will own the critical onboarding phase, ensuring that new enterprise customers are seamlessly integrated into our SaaS platform despite having highly specific, complex data requirements.
You will be the orchestrator who turns a signed contract into active, AI-driven value. By combining a deep understanding of our product portfolio with expertise in data ingestion techniques and ontology mapping, you will eliminate friction in the setup process. Your ultimate goal is to accelerate the &quot;Time-to-Value&quot; for our customers, ensuring they can leverage our Agentic AI tools and sustainability solutions as quickly and effortlessly as possible.
Jobs To Be Done
<ul><li>Lead the end-to-end technical onboarding and implementation of our SaaS solutions for new enterprise customers.</li>
<li>Serve as the primary bridge between the customer's technical teams and our internal engineering/data teams to define and execute data ingestion strategies.</li>
<li>Manage complex data requirements, including leading ontology mapping exercises to ensure customer data seamlessly aligns with our AI models.</li>
<li>Develop, manage, and execute detailed delivery project plans, ensuring timelines, milestones, and customer expectations are consistently met.</li>
<li>Partner closely with the Business Developer to ensure a smooth handover from the sales cycle and align on strategic customer goals.</li>
<li>Create repeatable, scalable onboarding playbooks to continuously reduce friction and speed up the delivery lifecycle for future customers.</li>
<li>Troubleshoot early-stage data integration roadblocks, ensuring a frictionless transition into &quot;business-as-usual&quot; platform usage.</li>
</ul>Education Requirements
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field.</li>
<li>Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued.</li>
<li>Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.</li>
</ul>Experience
<ul><li>5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management.</li>
<li>Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements.</li>
<li>Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping.</li>
<li>Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.</li>
</ul>Skills and Competencies
<ul><li>Delivery Management : Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule.</li>
<li>Technical Fluency : Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers.</li>
<li>Product Mastery : Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data.</li>
<li>Client Management : Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders.</li>
<li>Problem Solving : A proactive, &quot;fix-it-first&quot; mentality when dealing with data integration bottlenecks.</li>
</ul>KPIs
<ul><li>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights.</li>
<li>Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope.</li>
<li>Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases.</li>
<li>Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience.</li>
<li>Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.</li>
</ul>Why Us
As a Product Delivery Lead, you will have the unique opportunity to shape the future of AI for sustainability and drive meaningful impact in the global energy sector. You will work alongside a passionate, mission-driven team and play a pivotal role in delivering innovative, disruptive solutions to some of the world&rsquo;s most pressing environmental challenges. 
 
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. 
 
Job Posting End Date: 
 
 
julio-31-2026</div>

Product Delivery Lead

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