data warehouse analyst

Aga Khan University

<div><div>Analyst, Global Data &amp; Analytics Office - (260001DW)</div><div><div> 
</div><div>Analyst, Global Data &amp; Analytics Office</div><div></div><div> 
Entity: Aga Khan University</div><div> 
</div><div>
Location: Karachi</div> 
<div> 
</div><div>Introduction to the Aga Khan University: 
</div><div></div> 
<div>The Aga Khan University is a private, international university committed to international standards of excellence in teaching, research and service. Its teaching hospital, the Aga Khan University Hospital has been accredited by the prestigious Joint Commission International for achieving the highest international healthcare standards.</div><div> 
</div><div>
Job Role / Responsibilities:</div><div></div><div> 
Reporting to the Manager, Business Intelligence you are expected to analyse, program, maintain, and expand operational reporting, business intelligence (BI), and data warehouse (DW) solutions as part of Business Intelligence Team (BIT) under Global Data and Analytics Office (GDAO) within ICT. You must have excellent analytical and problem-solving skills whilst working independently in a global organization with minimal supervision.</div><div></div><div> 
Specifically, you will be responsible to;</div>
<ul><li>create and maintain BI applications whilst gaining in-depth understanding of the existing applications, both the technical and business aspects</li><li>
design, develop, and support development of reporting framework(s), data warehouse, datasets, ETL packages, dashboards, and analytical reports</li><li>
participate in all phases of solution development from business requirements, analysis, design, development, and implementation phases</li><li>
develop and grow understanding and application of Data Modelling and Data Analysis Techniques</li><li>
work on data management, integration and reporting tools in use including but not limited to SSIS, SSMS, SSRS, IBM Cognos, and Power BI; and be proficient in the same over time</li><li>
liaison with Business users / Sections / Departments / others to gather and validate requirements for delivery of the results</li><li>
operate within practices and procedures for smooth functioning of all operational services as per quality standards.
</li><li>continue to add \ evolve best practices, processes for solution development</li><li>
develop and document test plans and user manuals. 10. Participate in or support work stream planning process.</li></ul></div><div></div><div> 
<div>
</div><div>Eligibility Criteria / Requirements:</div>
<ul><li>possess a formal and recognized degree in Computer Science or related disciplines, such as Bachelor and\or Masters in Computer Science, MBA in MIS, etc. Professional Certification in a relevant field will be an added advantage</li><li>
0 to 2 years of professional experience in working with BI/Data warehouse/Data science tools</li><li>
the ideal candidate will have - expertise in Microsoft SQL Server \ BI Solutions, Exposure \ experience with IBM Cognos Analytics, Basic knowledge of Python \ R</li><li>
ability to understand the importance of clean and well-governed data and effectively leverage data and analytics to help the organization make data-driven business decision.
</li><li>ability to work with a global team to achieve a common vision across the organization and globally to support data and analytics needs</li><li>
ability to identify client needs and expectations and responds to requests efficiently and effectively while acts beyond explicit request within established service standards.
</li><li>able to meet client needs in a respectful, helpful, and responsive manner and seek feedback to develop a clear understanding of client needs and outcomes</li><li>
ability to identify opportunities to improve processes and strategies with technology solutions promoting the vision of the Global Data and Analytics Office</li><li>
ability to complete tasks in accordance with plans and sets priorities for tasks in order of importance</li><li>
ability to set goals and works to meet established expectations and adapts working methods to achieve objectives</li><li>
ability to listen actively and objectively and present appropriate information in a clear and concise manner, both orally and in writing</li></ul><div>
</div></div><div>
Primary Location: Pakistan</div><div>
Organisation: Aga Khan Hospital &amp; Medical College</div><div>
Employee Status: Regular</div><div>
Job Type: Standard</div><div>
Job Posting: 27/04/2026, 7:26:56 AM</div><div>
Closing Date: 11/05/2026, 1:59:00 PM</div></div>

Analyst, Global Data & Analytics Office

DevTech Systems, Inc.

<div>DevTech is a mission-driven firm specializing in innovative, data-driven solutions that help governments, civil society, and the private sector strengthen public financial systems, unlock investment, and make informed decisions in complex environments. We combine advanced analytics, contextual insight, and blended finance strategies to deliver practical, forward-looking solutions worldwide. Guided by our core values of integrity, innovation, evidence-driven impact, resilience, and collaboration, DevTech works transparently and in close partnership with clients and communities to achieve measurable results and lasting impact. 
DevTech is looking for a Data Engineer and Analyst to work as an institutional contractor on its Analytics, Data, Visualization, and Information Services 2.0 (ADVISE 2.0) contract with the United States Department of State. The Data Engineer and Analyst will work with the Office of Global Food Security (GFS) to support Humanitarian Assistance (HA) across the State Department. The Data Engineer and Analyst will support the Humanitarian Data, Assessment, &amp; Coordination unit within GFS&rsquo; Technical Quality &amp; Assurance Division. The Humanitarian Data, Assessment, &amp; Coordination unit strives to create and share decision support products with humanitarian assistance decision makers to improve their understanding of humanitarian needs, internal and external humanitarian data, and to improve the quality and targeting of global humanitarian assistance in crisis settings. 
Overall, we are seeking a data-savvy professional who can bridge engineering and analysis. This hybrid Data Engineer and Data Analyst role involves building and maintaining data systems, exploring and interpreting complex humanitarian datasets, and empowering colleagues to make informed, evidence-based decisions. The ideal candidate combines technical expertise with intellectual curiosity, strong analytical skills, and a passion for using data to support humanitarian outcomes.<div> 
Responsibilities are as follows: 
Data Engineering &amp; Infrastructure (60%) 
<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support humanitarian operational and analytical needs.</li><li>Build and optimize data models, schemas, and cloud-based data architectures to support dashboards, machine learning workflows, and advanced analytics.</li><li>Respond quickly to database problems that arise and carry out periodic maintenance and troubleshooting. Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.</li><li>Integrate heterogeneous humanitarian data sources.</li><li>Implement data quality, validation, and monitoring processes to ensure accuracy, reliability, and transparency.</li><li>Maintain an awareness of trends and developments in database maintenance.</li><li>Maintain documentation, metadata, and data governance standards in alignment with state department policies.</li><li>Occasionally, respond quickly to data needs for responses to rapid onset disasters or urgent decision-making requests.</li></ul></div><div> 
Data Analysis, Insights, &amp; Decision Support (40%) 
<ul><li>Explore and analyze complex humanitarian datasets to identify trends, anomalies, risks, and opportunities.</li><li>Produce actionable insights that inform policy, resource allocation, program design, and crisis response.</li><li>Support predictive analytics or light machine-learning workflows where appropriate.</li><li>Communicate analytical findings clearly to technical and non-technical audiences.</li></ul></div><div> 
Data Leadership, Guidance &amp; Collaboration 
<ul><li>Serve as a subject-matter resource for data best practices, including how to access, interpret, and apply available datasets.</li><li>Work closely with the team business analyst and HA decision makers to understand their data needs and translate them into analytical or technical solutions.</li><li>Provide training, informal guidance, and practical tools to staff who rely on data for decision-making.</li><li>Demonstrate flexibility by taking on adjacent responsibilities as needed in a small, fast moving team environment to ensure project goals are met.</li><li>Engage in continuous learning about the humanitarian sector.</li></ul></div><div> 
General 
<ul><li>As needed, may serve on temporary detail within the bureau to meet operational needs during staff shortages. Duties performed while on detail will be aligned with the Team&rsquo;s existing duties and responsibilities and will be directly related to the scope of work provided.</li><li>In compliance with the Department of State and contractor policies and procedures, consistently model behaviors that demonstrate a commitment to fostering a non-hostile work environment free of discrimination, bias, unfairness, exclusion, offensive behaviors, and harassment of any kind.</li><li>Demonstrate consistent accountability for adherence to and knowledge of laws, executive orders, and Department of State&rsquo;s policies which prohibit Equal Employment Opportunity (EEO) and non-EEO infringements as well as the Agency&rsquo;s zero tolerance for sexual misconduct, including harassment, exploitation, and abuse of any kind. Understand reporting criteria and report up in a timely manner.</li></ul></div><div> 
Requirements 
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Master&rsquo;s degree or equivalent experience preferred.</li><li>Hands-on experience in both:</li></ul>
o Data engineering (pipelines, ETL/ELT, SQL, cloud tools) 
o Data analysis (exploratory analysis, dashboarding, basic data science methods) 
<ul><li>Proficiency with SQL and modern programming/scripting languages (Python preferred).</li><li>Familiarity with cloud platforms (e.g. AWS, Databricks) and common data engineering tools.</li><li>Strong analytical thinking, problem-solving skills, and intellectual curiosity.</li><li>Ability to explain complex concepts to diverse stakeholders.</li><li>A team player but able to work independently.</li><li>Multi-tasking and time-management skills, with the ability to prioritize tasks.</li><li>Excellent interpersonal skills.</li><li>Ability to work well in a diverse team.</li><li>The candidate must be a U.S. citizen to qualify for the required U.S. government security clearance for this project.</li></ul></div> 
This position&rsquo;s place of performance is Washington D.C. Remote work has been authorized for this position.</div>

Data Engineer and Analyst

FIN Hospitality

Company: Oil &amp; GasLocation: QatarDepartment: Corporate ITJob Overview:The Data Warehouse Expert will lead the data management, integration, governance, and operations workstreams of the Plant Data Management (PDM) project &ndash; a strategic &ldquo;Smart Plant&rdquo; initiative to create a single source of truth for all critical engineering and production data. This senior role requires a seasoned professional with at least 10 years of experience in data management in the oil &amp; gas industry. A strong background in Microsoft data warehousing technologies and an understanding of plant operational processes are essential for successKey Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment with Dolphin Energy&rsquo;s architecture, data standards, &amp; operational requirements.</li><li>Lead the implementation of single source of truth, focusing on MS technologies including Azure, Microsoft 365, MSSQL, &amp; Power Platform in collaboration with implementation partners.</li><li>Collaborate with the solution enterprise architect to make sure the data warehouse design aligns with the overall solution architecture and IT infrastructure.</li><li>Lead the central repository architecture for integrated data from multiple sources (e.g. SAP, real-time systems, spreadsheets) in line with the PDM project requirements</li><li>Define the data models (schemas, tables, cubes) and storage strategy (on-premises MS SQL Server with potential hybrid cloud) to support reporting and analytics.</li><li>Ensure the configuration of ETL/ELT pipelines (using Microsoft SSIS or Azure Data Factory) to extract data from source systems, transform it, and load it into the warehouse.</li><li>Establish a robust data governance framework within the PDM scope, defining data ownership for different data domains (ensuring business stakeholders are identified as data owners), set up data stewardship roles if needed, and enforce policies for data usage, retention, and lifecycle management.</li><li>Enforce compliance with the company&rsquo;s cybersecurity and data privacy policies</li><li>Work to achieve high availability of the data platform. Implement redundancy and failover mechanisms as appropriate (clustering, backups, mirrored databases, etc.). Ensure disaster recovery plans are in place</li><li>&sect; Develop and implement data governance policies, standards, and procedures.</li><li>&sect; Collaborate with data owners and stewards to define data definitions, classifications, and quality rules.</li><li>&sect; Monitor data quality metrics and lead initiatives to resolve data issues.</li><li>&sect; Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.</li><li>&sect; Maintain data catalogs, metadata repositories, and data lineage documentation.</li><li>&sect; Support data governance tools and platforms, ensuring proper configuration and usage.</li><li>&sect; Conduct training and awareness programs to promote data governance best practices.</li><li>&sect; Design and implement frameworks that enable secure, self-service access to data across departments.</li><li>&sect; Promote data literacy by developing training materials and conducting workshops on data usage and governance.</li><li>&sect; Support the deployment and adoption of data catalog and self-service BI tools.</li><li>&sect; Define and manage role-based access controls to balance data accessibility with security.</li><li>&sect; Act as a liaison between IT, data teams, and business stakeholders to and ensure relevant data is discoverable and usable.</li><li>&sect; Participate in data governance councils and cross-functional working groups, to align data strategy with business goals.</li><li>&sect; Provide guidance on data stewardship responsibilities and best practices.</li></ul>Required Qualifications:Educational Background:<ul><li>Bachelor&rsquo;s degree in Information Management, Computer Science, Business, or a related field.</li><li>3+ years of experience in data governance, data management, or a related discipline.</li><li>Strong understanding of data governance frameworks.</li><li>Familiarity with data privacy laws and regulatory requirements.</li><li>Experience with data governance.</li><li>Excellent communication, collaboration, and problem-solving skills.</li><li>Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>Expected Experience<ul><li>10+ years of experience in data management roles, including data warehouse development, system integration, and IT project management.</li><li>5+ Experience must be in the oil &amp; gas industry, dealing with industrial or enterprise data.</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Data Warehouse technologies &ndash; MS SQL Server, SQL Server Integration Services (SSIS) for ETL, SQL Server Analysis Services (SSAS) for OLAP, and SQL querying/tuning</li><li>Strong knowledge of relational and dimensional data modeling. Ability to design normalized schemas for staging and integration, as well as star/snowflake schemas for analytics.</li><li>Experience with handling large datasets (hundreds of gigabytes to terabytes) efficiently (partitioning, indexing strategies, etc.)</li><li>Hands-on experience integrating multiple systems and platforms Microsoft BizTalk, SAP, &amp; SharePoint online.</li><li>Experience implementing data governance policies and using tools for data quality and metadata management</li><li>Proficient in project management practices</li><li>Certified Data Management Professional (CDMP)</li><li>Data Governance and Stewardship Professional (DGSP)</li><li>Certified Information Privacy Professional (CIPP)</li></ul>Soft Skills:&sect; Excellent analytical and research skills.&sect; Strong communication skills to collaborate with cross-functional teams.&sect; Strong presentation skillsPay: QAR15,000.00 - QAR20,000.00 per monthWork Location: In person

Data Warehouse Expert

Proterial

<div>Location:
Dammam, Eastern Region, Saudi Arabia
Job ID:
R0123311
Date Posted:
2026-04-20
Company Name:
HITACHI ENERGY LTD
Profession (Job Category):
Production &amp; Skilled Trades
Job Schedule:
Full time
Remote:
No
Job Description:
The opportunity
The Manufacturing Analyst position presents an exciting opportunity for a highly analytical professional to become the strategic backbone of factory operations, acting as the &ldquo;eagle eye&rdquo; across the entire end‑to‑end manufacturing and supply chain process. This role sits at the heart of Operations, transforming raw data from SAP and MES into powerful Power BI dashboards that provide real‑time visibility into production, planning, and warehouse performance. Beyond reporting, the Manufacturing Analyst actively identifies bottlenecks, inefficiencies, and grey areas, serving as an early warning system when operational targets are at risk. The position offers strong exposure to senior factory management through regular presentation of actionable insights, escalation of risks, and follow‑up on corrective actions. In close collaboration with Continuous Improvement teams, the analyst helps shape improvement roadmaps by developing data‑driven business cases and project charters. For candidates who enjoy combining data, operations knowledge, and stakeholder leadership, this role provides a high‑impact platform to drive operational excellence, influence strategic decisions, and deliver measurable performance improvements across the factory. 
 
How you&rsquo;ll make an impact 
As a Manufacturing Analyst, you will play a critical role in driving operational excellence and enabling fact‑based decision‑making across the factory. Your impact will include:
<ul><li>Delivering daily operational visibility through accurate SAP and MES data extraction and high‑impact Power BI dashboards.
</li><li>Monitoring end‑to‑end factory Key performance Indicators across Production, Planning, and Warehouse operations with a clear &ldquo;A‑to‑Z&rdquo; lens.
</li><li>Identifying performance risks early and escalating KPI deviations before operational targets are missed.
</li><li>Translating complex manufacturing data into clear, actionable insights for senior factory leadership.
</li><li>Supporting cross‑functional alignment and execution by communicating findings and ensuring corrective actions are implemented and closed.
</li><li>Enabling continuous improvement initiatives by highlighting high‑impact opportunities requiring structured CI projects.
</li><li>Developing business cases and financial justifications to support CI projects and capital investment decisions.
</li><li>Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines.
</li>Living Hitachi Energy&rsquo;s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. 
<li>
</li></ul> 
Your background
<ul><li>A bachelor&rsquo;s degree in industrial/manufacturing engineering, Supply Chain Management, Operations Management, Data analytics or a related technical discipline.
</li><li>3 to 5 years of relevant experience in: Manufacturing operations, Supply Chain analytics, Operations planning or Industrial performance roles.
</li><li>Experience in data-driven operational roles within a plant of multi-site manufacturing environment is strongly preferred.
</li><li>Proficiency in both spoken &amp; written in English &amp; Arabic language is required.
</li><li>Strong hands-on experience with ERP System, preferably: SAP S/4HANA
</li><li>Experience working with Manufacturing Execution Systems (MES) for shop-floor and production data.
</li><li>Strong understanding of master data, transactional data, and data integrity within ERP/MES environments.
</li><li>Advanced Microsoft Excel skills with proficiency in Power BI.
</li><li>Experience standardizing Daily, weekly and monthly operational KPIs (Warehouse, Production, Planning).
</li><li>Strong ability to:
 <ul><li>Analyze operational trends and variances.
</li><li>Identify root causes of operations issues.
</li><li>Measure Manufacturing Operations efficiency.
</li></ul></li><li>Customer-Oriented Mindset with focus towards Operations, Planning, Warehouse and CI teams.
</li><li>Proficiency in both spoken &amp; written in English &amp; Arabic language is required.
</li></ul><h2 class="jobSectionHeader">Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
</h2><h2 class="jobSectionHeader">This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.</h2></div>

Manufacturing Analyst

Tri Pointe Homes

<div>
 
 
 Tri Pointe Homes is about more than homes, we are about people. We are committed to changing the lives of our customers and employees. Our passion for creating communities does not end with our customers. If this sounds like a career for you, apply to be a part of our great team.
 
 
 
 &nbsp;
 
 
 
 Tri Pointe Homes is looking for an experienced, enthusiastic individual to join our talented group as a Data Warehouse Engineer.
 
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 
 Position Responsibilities:
 
 
 Design, build and maintain database structure/data warehouse models, transformations, and integrations and efficiently manage the nuances of a cloud database platform. Develop, test, enhance and maintain complex data solutions of lasting value, including dimensional data marts. Maintain/support reliable data integration and retrieval. Employ agile development with modern data warehousing techniques and technologies to deliver lean yet highly flexible and functional solutions. Conduct technical analysis and develop solution options. Document key technical metadata and test scripts. Partner closely with analysts and contractors while helping set and enforce high quality standards, incl. serving as technical SME (Subject Matter Expert) of key technologies and data sources across multiple business domains. Standardize key metrics and dimensions within data structures and business intelligence solutions and simplify complex analysis. Collaborate concurrently on multiple projects to produce quality solutions and demonstrate initiative and effectiveness in problem solving.
 
 
 
 &nbsp;
 
 
 
 Qualifications:
 
 
 &nbsp;
 
 
 THIS POSITION REQUIRES A BACHELOR&rsquo;S DEGREE IN COMPUTER SCIENCE, MATH, COMPUTER ENGINEERING PLUS 3 YEARS OF WORK EXPERIENCE IN DATA WAREHOUSE ENGINEER, BUSINESS INTELLIGENCE (BI) DATA ANALYST, DATA ANALYST, OR RELATED OCCUPATION. IN THE ALTERNATIVE, THE EMPLOYER WILL ACCEPT A MASTER&rsquo;S DEGREE IN COMPUTER SCIENCE, MATH, COMPUTER ENGINEERING, PLUS 1 YEAR OF WORK EXPERIENCE IN DATA WAREHOUSE ENGINEER, BUSINESS INTELLIGENCE (BI) DATA ANALYST, DATA ANALYST, OR RELATED OCCUPATION.
 
 
 
 &nbsp;
 
 
 
 
 Special Requirements:
 
 
 
 REQUIRED EXPERTISE/KNOWLEDGE OF:
 
 
 <ol>
 <li>
 
 Creating and maintaining code around data warehouse development, data integrations, and data modelling.
 
 </li>
 <li>
 
 Advanced SQL knowledge.
 
 </li>
 <li>
 
 Demonstrated data integration and ETL (Extract, Transform, Load) skills.
 
 </li>
 <li>
 
 Advanced skills in SSIS (Sequel Server Integration Services) platform;).
 
 </li>
 <li>
 
 Proficiency in Python coding language for data transformations, data libraries, and data science.
 
 </li>
 <li>
 
 Demonstrated knowledge/abilities in SQL Server DB.
 
 </li>
 </ol>
 
 
 &nbsp;
 
 
 
 
 MUST POSSESS EXPERTISE/KNOWLEDGE SUFFICIENT TO ADEQUATELY PERFORM THE DUTIES OF THE JOB BEING OFFERED. EXPERTISE/KNOWLEDGE MAY BE GAINED THROUGH EMPLOYMENT EXPERIENCE OR EDUCATION. SUCH EXPERTISE/KNOWLEDGE CANNOT BE "QUANTIFIED" BY "TIME&rdquo;.
 
 
 
 
 &nbsp;
 
 
 
 
 Employer will accept any suitable combination of education, training or experience.
 
 
 
 
 &nbsp;
 
 
 
 
 
 Salary:
 
 
 
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $118,331- $184,000/year
 
 
 
 
 
 How
 
 
 
 
 to apply:
 
 
 
 &nbsp;&nbsp;&nbsp; Qualified applicants please send resume to: recruitment@tripointehomes.com
 
 Reference:&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 ARS-26
 
 
 
 &nbsp;
 
 
 
 &nbsp;
 
 
 
 
 Want to know what it's like working at Tri Pointe Homes? Click here to see what our employees have to say:
 
 Great Place to Work Certified Company
 
 
 &nbsp;
 
 
 
 Tri Pointe Homes is committed to building a diverse and talented team to help us achieve our goals. Please note that due to operational constraints, we are unable to consider applicants who require visa sponsorship (e.g., H1B, OPT) for this position. This policy applies uniformly to roles where sponsorship cannot be accommodated to ensure consistency and fairness in our hiring process.
 
 
 
 &nbsp;
 
 
 
 At Tri Pointe Homes, we are intentional about fostering an environment where you, and all individuals, are encouraged to be their authentic selves.&nbsp;We embrace individuality and strive to be consciously inclusive of different backgrounds, experiences, and perspectives in every aspect of our business.&nbsp;We believe our company&rsquo;s strength relies on the diversity of the team and the unique, innovative ideas everyone contributes.
 
 
 
 &nbsp;
 
 
 
 Pursuant to the California Consumer Privacy Act of 2018, if you are a California resident, you have the right to know the categories of personal information that we collect about job applicants, employees and their emergency contacts and beneficiaries, and independent contractors. Please click&nbsp;
 
 here
 
 &nbsp;for a description of our personal information collection practices
 
 
 
 &nbsp;
 
 
 
 We are an Equal Opportunity Employer, which means we make employment decisions based on merit and qualifications and are committed to providing equal opportunities for all applicants and employees without regard to their race, color, creed, religion, national origin, ancestry, citizenship status, age, disability, sex, sexual orientation, gender identity or expression, veteran status, genetic information, or any other characteristic protected by applicable federal, state or local laws.
 
 
 
 
 &nbsp;
 
 
 
 
 We will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to apply for an open position or to participate in an interview, please let us know.
 
 
</div>

*General Template

<div>The Business Data Analyst II role has a national salary range of $55,000 - $90,000.
For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.
DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy. 
Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, were looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impactthis role is for you! 
Job Description
As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. Youll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.
Responsibilities<ul><li>
Develop and maintain Power BI reports to support operational and strategic decisions</li><li>
Full development of Power BI including data visualization and back-end data model design</li><li>
Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements</li><li>
Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction</li><li>
Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs</li><li>
Translate complex data into clear, actionable insights through presentations and reports for internal and customer use</li><li>
Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)</li></ul> 
Required Experience<ul><li>
Bachelors degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required</li><li>
02 years of experience in data analytics, business intelligence, or a related field, required</li><li>
Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred</li><li>
Proficiency in Power BI, including building dashboards and reports, required</li><li>
Experience writing DAX expressions to automate and enhance Power BI reports, preferred</li><li>
Familiarity with statistical concepts and data modeling techniques, preferred</li><li>
Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred</li><li>
Must be able to work fully onsite if role based out of a warehouse, required</li></ul> 
Our Organization is an equal opportunity employer. 
 
Brand: DHL
 
Address: 305 W Resource Dr. Bloomington, CA - 92316
 
Property Description: 3949 - Bloomington CA WERC
 
Property Number: 3949</div>

Business Data Analyst II

<div>Preferred internal candidates have been identified. All qualified candidates will be considered for this role and future opportunities. 
The Business Data Analyst II role has a national salary range of $55,000 - $90,000.
For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.
DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy. 
Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, were looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impactthis role is for you! 
Job Description
As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. Youll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.
Responsibilities<ul><li>
Develop and maintain Power BI reports to support operational and strategic decisions</li><li>
Full development of Power BI including data visualization and back-end data model design</li><li>
Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements</li><li>
Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction</li><li>
Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs</li><li>
Translate complex data into clear, actionable insights through presentations and reports for internal and customer use</li><li>
Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)</li></ul> 
Required Experience<ul><li>
Bachelors degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required</li><li>
02 years of experience in data analytics, business intelligence, or a related field, required</li><li>
Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred</li><li>
Proficiency in Power BI, including building dashboards and reports, required</li><li>
Experience writing DAX expressions to automate and enhance Power BI reports, preferred</li><li>
Familiarity with statistical concepts and data modeling techniques, preferred</li><li>
Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred</li><li>
Must be able to work fully onsite if role based out of a warehouse, required</li></ul> 
Our Organization is an equal opportunity employer. 
 
Brand: DHL
 
Address: 8924 Pioneer Ave Charlotte, NC - 28273
 
Property Description: 3474 - Charlotte NC SERC
 
Property Number: 3474</div>

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10000 data warehouse analyst jobs Near Me

Analyst, Global Data & Analytics Office

Data Engineer and Analyst

Data Warehouse Expert

Manufacturing Analyst

*General Template

Business Data Analyst II

Business Data Analyst II