data warehouse manager

ICBC Turkey

<div>
 <p>
  ICBC Turkey is the subsidiary of ICBC Group - the largest bank in the world according to The Banker's &ldquo;Top 1000 Banks in the World&rdquo; listing - with its presence in 49 countries around the world.
 </p>
 <p>
  With the fast-growing pace of ICBC Turkey has increased total assets by 424% in the last 5 years. Numerous institutions have reacted with awards to ICBC Turkey&acute;s performance and profitability, such as Best Commercial and Investment Bank in Turkey, Most Innovative Brokerage House, and Leader of Financial Intermediation Transactions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Data Management Assistant Manager to join our dynamic team. If you have a strong background in data warehousing modelling and business intelligence, and you&rsquo;re ready to make an impact in the banking sector, we&rsquo;d love to meet you.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Engineering or related fields
  </li>
  <li>
   Minimum 5 years of relevant experience, preferably in banking or financial services
  </li>
  <li>
   Comprehensive knowledge of Data Warehousing and Data Modelling (Dimensional, 3NF) concepts
  </li>
  <li>
   Expertise in BI tools (especially OBI) and PL/SQL
  </li>
  <li>
   Proficiency in SQL performance tuning and optimization techniques
  </li>
  <li>
   Strong analytical and problem-solving skills, with the ability to learn complex structures quickly
  </li>
  <li>
   Highly motivated, result-oriented, and a strong team player with a can-do attitude
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <ul>
  <li>
   Understand business concepts, user needs, and the value of data, focusing on delivering results
  </li>
  <li>
   Design, implement, test, and deploy optimal solutions for local, global, and regulatory reporting requirements, ensuring data life cycle and privacy compliance
  </li>
  <li>
   Develop, maintain, and optimize Business Intelligence reports for maximum quality and performance
  </li>
  <li>
   Analyze existing data structures for usage, discrepancies, and efficiency; propose and implement improvements
  </li>
  <li>
   Troubleshoot and resolve issues related to the data warehouse environment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;re passionate about transforming data into valuable insights and want to be part of our team, apply now and take the next step in your career.
 </p>
</div>


Data Management Assistant Manager

Esfa grup

<p><b>Sorumluluklar</b></p><p><i>Veri Ambar&#305; (Data Warehouse) Y&ouml;netimi:</i> Veri ambar&#305; tasar&#305;m&#305;, geli&#351;tirilmesi ve bak&#305;m&#305;n&#305; &uuml;stlenmek.</p><p><i>ETL S&uuml;re&ccedil;leri:</i> Veri entegrasyon s&uuml;re&ccedil;lerini tasarlamak ve uygulamak, ETL ara&ccedil;lar&#305; ve y&ouml;ntemleri kullanarak veri i&#351;leme s&uuml;re&ccedil;lerini y&ouml;netmek.</p><p><i>Power BI Raporlama:</i> Power BI kullanarak etkili ve anla&#351;&#305;l&#305;r raporlar, dashboardlar ve veri g&ouml;rselle&#351;tirmeleri olu&#351;turmak.</p><p><i>Veri Analizi:</i> &#304;&#351; ihtiya&ccedil;lar&#305;n&#305; anlamak, veri analizi yaparak i&ccedil; g&ouml;r&uuml;ler sunmak ve i&#351; kararlar&#305;n&#305; desteklemek.</p><p><i>Veri Kalitesi:</i> Veri do&#287;rulu&#287;unu ve tutarl&#305;l&#305;&#287;&#305;n&#305; sa&#287;lamak, veri kalitesini s&uuml;rekli izlemek ve iyile&#351;tirmek.</p><p><i>Teknolojik Ara&#351;t&#305;rma ve &#304;novasyon:</i> Yeni teknolojilere ve ara&ccedil;lara hakimiyet geli&#351;tirmek ve i&#351; s&uuml;re&ccedil;lerini iyile&#351;tirmek i&ccedil;in &ouml;nerilerde bulunmak.</p><p><i>&#304;&#351;birli&#287;i ve &#304;leti&#351;im:</i> &#304;&#351; birimleriyle etkili ileti&#351;im kurmak, gereksinimleri do&#287;ru anlamak ve projeleri zaman&#305;nda teslim etmek.</p><p><b>Aranan Nitelikler</b></p><p><i>E&#287;itim</i>: Bilgisayar Bilimleri, Yaz&#305;l&#305;m M&uuml;hendisli&#287;i veya ilgili bir alanda lisans veya y&uuml;ksek lisans derecesi.</p><p><i>Deneyim</i>: Benzer pozisyonda en az 2 y&#305;l deneyim; Power BI ve veri ambar&#305; projelerinde deneyim sahibi olmak.</p><p>&#304;&#351; T&uuml;r&uuml;: Tam zamanl&#305;</p><p>Maa&#351;: 40.000,00TRY - 60.000,00TRY ayl&#305;k</p><p>Deneyim:</p><ul><li>Power BI: 2 y&#305;l (Zorunlu)</li><li>Data Warehouse kurulumu: 2 y&#305;l (Zorunlu)</li></ul>

Veri Mühendisi

Think Perfect

<p><b>Oracle Fusion Warehouse Management System (WMS) Functional Consultant / Sr. Consultant</b></p><p>Think Perfect is a fast-growing consulting organization and exclusive System Implementation Partner for Oracle Applications. With primary focus on Implementation, Advisory, Integration, AI and Managed Services for Oracle Fusion ERP, Human Capital Management, Supply Chain Management, <b>Warehouse Management System (WMS)</b>, Oracle Transportation Management, Oracle Product Lifecycle Management, Eloqua and OCI.</p><p>At Think Perfect, we know that the key to growth is building a diverse and multilingual team of consulting service practitioners. That&rsquo;s why we&rsquo;re seeking WMS Consultants / Senior Consultants to join our team in delivering services to customers in Canada.</p><p><b>Objectives of this role</b></p><ul><li>As a skilled Oracle Fusion WMS Functional Consultant with deep expertise in North America implementations, you&rsquo;ll work as a functional subject matter expert responsible for end-to-end configurations, solutioning, data conversions, report development, and WMS related solutions.</li></ul><p><b>Responsibilities</b></p><ul><li>Demonstrate strong understanding of transportation and logistics business processes and workflows.</li><li>Demonstrate extensive hands-on experience with <b>Warehouse Management System (WMS)</b> , including core configuration and customization.</li><li>Showcase advanced skills in data operations and integrations.</li><li>Lead with proven experience working with third-party logistics systems and enterprise integrations.</li><li>Conduct workshops, demos, and training sessions in both supported languages.</li><li>Provide support for data migration, testing (SIT/UAT), and change management activities.</li><li>Develop training materials, quick reference guides, and knowledge transfer documentation.</li><li>Support end-users during go-live and stabilization phases.</li><li>Ensure compliance with local labor laws, reporting requirements, and Transportation / Logistics best practices</li></ul><p><b>Required skills and qualifications</b></p><ul><li>Bachelor&rsquo;s degree in supply chain, education in logistics, or related field.</li><li>5&ndash;10 years of experience with <b>Warehouse Management System (WMS)</b> Cloud implementations (in a functional consultant or senior consultant role)</li><li>Excellent bilingual communication skills</li><li>Strong problem-solving, analytical, and stakeholder management skills.</li></ul><p><b>Preferred skills and qualifications</b></p><ul><li>Prior experience with 2+ End to End <b>Warehouse Management System (WMS)</b> Implementations.</li><li>Proficiency with being in a client facing role as consultant or senior consultant.</li><li>Work independently and thrive in cross-functional team environments</li><li>Experience with leading a stream</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;1,500,000.00 - &#8377;2,500,000.00 per year</p><p>Work Location: Remote</p>

Oracle Warehouse Management System (WMS)

Ford Motor Company

<div><p>As a Senior Data Engineering Manager, you will lead a team responsible for the strategic development and delivery of data products. You will oversee the integration of data from various sources, guiding the evolution of our analytical data landscape, including the merging of historical data from legacy platforms with data ingested from new platforms. Your role involves directing the analysis and manipulation of large datasets, ensuring the activation of data assets to enable enterprise platforms and analytics within Google Cloud Platform. You will also lead the design and implementation of data transformation and modernization initiatives on Google Cloud Platform, ensuring the creation of scalable data pipelines that land data from source applications, integrate into subject areas, and build data marts and products for analytics solutions.
</p><p>You will guide your team in conducting deep-dive analyses, including those related to Current State Receivables and Originations data within our data warehouse, performing impact analysis related to Ford Credit North America's modernization efforts and providing strategic implementation solutions. This role requires significant experience supporting North American teams. Moreover, you will lead cross-functional efforts, partnering closely with our AI, data science, and product teams to develop innovative data solutions that build the future for Ford Credit. You will coach and mentor your direct reports, fostering professional growth and technical expertise. You will also work directly with the Director of Data Engineering, based in the United States, collaborating on strategic direction and execution.
</p><p>We require demonstrated leadership in designing, implementing, and operationalizing large-scale data warehouses, data lakes, and analytics platforms on Google Cloud Platform or other cloud environments. We are looking for candidates with a proven ability to lead and guide a team of data engineers, drive technical architecture decisions, and make strategic technology choices within the Google Cloud Platform ecosystem and related third-party technologies. This includes demonstrating an ability to design the right solutions with the appropriate combination of technologies for deployment on Google Cloud Platform.</p></div>
<br><div><p>Must Have Skills &ndash;
</p><ul><li>12+ years of technical leadership experience in delivery of Data Warehouse Solutions on-prem or on cloud for large companies, and business adoption of these platforms to build insights &amp; analytics
</li></ul><ul><li>8+ years&rsquo; experience leading technical teams, delivering complex projects using Agile methodologies, and product support for those solutions.
</li></ul><ul><li>Solid knowledge of cloud data architecture, data modelling principles, DevOps, Data compliance, global (North America/Europe) data protection laws, security and data governance.
</li></ul><ul><li>Very strong leadership and communication skills to aid customer and program teams in making data-driven decisions.
</li></ul><ul><li>Demonstrated experience required in engineering Data warehouse solution in Google or other cloud systems.
</li></ul><ul><li>Driven and managing complex projects &amp; aggressive timelines
</li></ul><ul><li>Google Cloud certified professional Data Engineer
</li></ul><ul><li>Bachelor&rsquo;s degree in- Computer science, Computer engineering, Data science or related field
</li></ul><ul><li>Experience on Google cloud with deep understanding and design and development experience with Google Cloud Platform products on Infrastructure, Data management, Application Development, Smart Analytics, Artificial Intelligence, Security and DevOps
</li></ul><ul><li>Knowledge of most of the following:
</li></ul><p>o Extract, Transform and Load (ETL) &amp; Big Data Tools: BigQuery, Cloud Dataflow, Cloud Proc, Cloud Pub/Sub, Cloud Composer, Dataform, Data Plex, Google Looker Studio, Google Cloud Storage.
</p><p>o Data Quality and Governance
</p><p>o Designing, building, and deploying ML pipelines (MLOps) to solve business challenges using Python/BQML/Vertex AI on GCP. Work closely with data scientists to help deploy their models.
</p><ul><li>Proven track of managing large global budgets, and organization change management.
</li></ul><ul><li>Ability to negotiate with and influence stakeholders &amp; drive forward strategic data transformation
</li></ul><ul><li>Quick learner, self-starter, energetic leaders with drive to deliver results.
</li></ul><ul><li>Empathy and care for customers and teams, as a leader guide teams on advancement of skills, objective setting and performance assessments.<br>
</li></ul><p></p><p>Good to Have Skills &ndash;
</p><ul><li>Master of Business Administration (MBA)
</li></ul><ul><li>Experience in technical program management &amp; delivering transformational projects
</li></ul><ul><li>Building high performance teams
</li></ul><ul><li>Managing/or working with globally distributed teams
</li></ul><ul><li>Prior experience in leveraging offshore development service providers
</li></ul><ul><li>Experience in a Fintech/Banking or large manufacturing company.</li></ul></div>
<br><div><ul><li>Accountable for supporting the creation of the modern Datawarehouse platform in Google Cloud that enables Analytics, insights &amp; AI/ML at speed.
</li></ul><ul><li>Managing stakeholders and projects, collaborating on prioritization strategies, roadmaps, architecture &amp; features delivery
</li></ul><ul><li>Leading enablement of new GCP BQ capabilities &amp; engineering patterns for enterprise-wide adoption.
</li></ul><ul><li>Accountable for ensuring data solutions pass banking regulatory and compliance standards.
</li></ul><ul><li>Provide technical leadership in design &amp; delivery of Google cloud data platform, using agile practices and delivering continuous business value
</li></ul><ul><li>Drive business adoption of new scalable and reliable data platform for enterprise&rsquo;s data analytics, Insights &amp; AI/ML modeling requirements
</li></ul><ul><li>Collaborate with Architects and cross functional application/product teams and Ford Data Factory team to integrate data solutions required to support multiple parallel projects
</li></ul><ul><li>Familiarity with hands-on development of reusable solution patterns with advanced GCP tools &amp; guide teams on how to effectively use these tools
</li></ul><ul><li>Be the trusted partner of business customers and engineering teams in solving technical and business problems.
</li></ul><ul><li>Effectively manage team&rsquo;s priorities, backlogs and help remove roadblocks, to drive key business results
</li></ul><ul><li>Lead communication of status, issues &amp; risks to key stakeholders
</li></ul><ul><li>Stay abreast on technology advancements and ensure team keeps updated on skills
</li></ul><p>&middot; Experience leading large team of data engineers &amp; developing talent, performance management. &middot; Drive adoption of standardized architecture, design and quality assurance approaches across all workstreams and ensure solutions adhere to established standards.
</p><ul><li>Leverage cloud AI/ML Platforms to deliver business and technical requirements. Manage data engineers and ML engineers that work with teams of data scientists, data analysts, and architects to successfully deliver ML/AI projects.</li></ul></div>

Senior Data Engineering Manager

State Street

<div><div>Job Title</div><div>
Data Engg - Snowflake</div><div></div><div>
Role Summary &amp; Role Description</div><div>
We are seeking a talented Senior Software Engineer to join our agile team. The successful candidate will play a crucial role in ensuring the quality and reliability of our software products, with a focus on developing Azure-based applications, data warehouse and ETL backend systems. Proficiency in Data Warehousing and Snowflake is essential for this role.</div><div></div><ul><li>
Candidate must have minimum of 8 years of relevant experience in Data Warehousing and Database application development.</li><li>
Candidate must have hands on experience in Snowflake and Azure.</li><li>
Analyze, Design and Code snowflake objects and views.</li><li>
Create Database Views/materialized views, Indexes, Partitions.</li><li>
Experience in Shell scripting and Autosys/Control-M/Cron scheduling.</li><li>
Ability to communicate with Business users, understand and Analyze requirements and Use Cases.</li><li>
Experience working in Agile Teams.</li><li>
Proven problem solving, communication, interpersonal and analytical skills.</li><li>
Ability to work both independently as well as within a team.</li></ul><div></div><div>
Core/Must have skills</div><div>
Good knowledge in Data Warehouse concepts and different schema types like Star and Snowflake</div><div>
Strong experience in writing complex queries, performance tuning, query optimization and debugging.</div><div>
Minimum 8 years working experience in Snowflake and good knowledge on Snowpipe, DBT Experience in working with Snowflake. Hands-on experience in bulk loading and unloading data into Snowflake tables using COPY command. Handling large and complex data sets like JSON, ORC, PARQUET CSV files from various sources like AWS S3. TASK, Snowpipe creation for scheduling/Automate Snowflake jobs.</div><div>
Good exposure in Snowflake Cloud Architecture, SnowSQL and SNOWPIPE for continuous data loading.</div><div>
Good communication skills, problem solving skills and ability to analyses quickly and come-up with an efficient industry standard solution for a given problem</div><div>
Good to have skills</div><div>
Good knowledge on Oracle database and Proficient in SQL Performance tuning.</div><div>
Good knowledge on BigData and Spark</div><div>
Good knowledge on Databricks</div><div>
Work Schedule</div><div>
On-premise / Hybrid</div><div></div><div>
Keywords (If any)</div><div>
Snowflake, Data Warehouse, Databricks</div><div></div><div>
Why this role is important to us</div><div><div>
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We&rsquo;re driving the company&rsquo;s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.</div><div></div><div>
We offer a collaborative environment where technology skills and innovation are valued in a global organization. We&rsquo;re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.</div><div></div><div>
Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.</div><div></div><div>
About State Street</div><div></div><div>
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we&rsquo;re making our mark on the financial services industry. For more than two centuries, we&rsquo;ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data &amp; analytics, investment research &amp; trading and investment management to institutional clients.</div><div></div><div>
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You&rsquo;ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.</div><div></div><div>
Inclusion, Diversity and Social Responsibility. We truly believe our employees&rsquo; diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.</div><div>
State Street is an equal opportunity and affirmative action employer.</div></div><div></div><div>
About State Street</div><div></div><div>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.</div><div></div><div>
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.</div><div></div><div>
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.</div><div></div><div>
Discover more information on jobs at <div>StateStreet.com/careers</div></div><div></div><div>
Read our <div>CEO Statement</div></div></div>

Data Engineer (Snowflake) - Manager

World Business Lenders, LLC

<div><p><b>About World Business Lenders</b> (www.wbl.com)</p><p>
World Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding.
</p><p><i>WBL is a U.S.-based company with a 100% remote workforce.
</i></p><p>Generally, working hours will be 9:00am-6:00pm Eastern time, Monday through Friday, although hours worked may be greater based upon operational requirements.
</p><p>The job requires excellent oral and written command of the English language.
</p><p>You must be comfortable working with productivity monitoring systems</p><p><b>
Resumes must be submitted in English.
</b></p><p><b>Requirements</b></p><ul>
<li>
<b>Summary:</b> Responsible for designing and maintaining data architecture, ensuring alignment between business goals and technology infrastructure, ensuring data quality, and data visualization through comprehensive and useful reports.</li>
<li><b>Duties and Responsibilities:</b></li>
<li><ul><li>Develop and maintain enterprise architecture models and roadmaps, preferably with MS Visio or a similar tool.
</li><li>Align IT strategy with business objectives by assessing current capabilities and defining future needs.
</li><li>Ensure the data warehouses and infrastructure are sufficient to execute business objectives; periodically review all relevant company resources to ensure continuous execution of all processes.
</li><li>Establish and enforce architecture standards, principles, and governance processes.
</li><li>Provide active code review to all code/data provided by data engineers. Ensure Data Team pull requests are submitted into corresponding Git repositories.
</li><li>Ensure compliance with enterprise standards and work in collaboration with the internal audit department to ensure all internal standards and quality objectives are met.
</li><li>Maintain GIT repositories and have a corresponding data dictionary in SharePoint.
</li><li>Collaborate with other departments to co-create and co-design reports that are meaningful and useful for the business and should report in Power BI visualizations.
</li></ul></li><li><b>Requirements:</b></li>
<li><ul><li>Bachelor&rsquo;s degree in Computer Engineering, Software Engineering, Mathematics, Finance, or a relevant/equivalent field.
</li><li>5&ndash;10 years of experience in Business Intelligence, data architecture, or data management&ndash;related fields.
</li><li>Background in finance, data warehouse management, data visualization, banking, or experience in loan/credit operations preferred. U.S. experience is a plus.
</li><li>Previous managerial experience is required.
</li><li>Excellent English proficiency (C1 or above).
</li><li>Must have own laptop (company does not provide equipment).
</li><li>Strong analytical skills and attention to detail.
</li></ul></li></ul><p><b>Benefits</b></p><ul>
<li>
CONTRACT/CONSULTANCY POSITION</li>
<li>PTO Available</li>
<li>100% Work from home</li></ul></div>

Remote - Business Intelligence Manager

<div>
 <strong>
  About World Business Lenders (www.wbl.com)
  <br/>
  <br/>
 </strong>
 World Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to a broad customer base comprised of small and medium sized businesses throughout the United States that lack access to traditional funding.
 <br/>
 <br/>
 <em>
  WBL is a U.S.-based company with a 100% remote workforce.
  <br/>
  <br/>
 </em>
 Generally, working hours will be 9:00am-6:00pm Eastern time, Monday through Friday, although hours worked may be greater based upon operational requirements.
 <br/>
 <br/>
 The job requires excellent oral and written command of the English language.
 <br/>
 <br/>
 You must be comfortable working with productivity monitoring systems
 <br/>
 <br/>
 <strong>
  Resumes must be submitted in English.
  <br/>
  <br/>
 </strong>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Summary: Responsible for designing and maintaining data architecture, ensuring alignment between business goals and technology infrastructure, ensuring data quality, and data visualization through comprehensive and useful reports
  </li>
  <li>
   Duties and Responsibilities:
  </li>
  <ul>
   <li>
    Develop and maintain enterprise architecture models and roadmaps, preferably with MS Visio or a similar tool.
   </li>
   <li>
    Align IT strategy with business objectives by assessing current capabilities and defining future needs.
   </li>
   <li>
    Ensure the data warehouses and infrastructure are sufficient to execute business objectives; periodically review all relevant company resources to ensure continuous execution of all processes.
   </li>
   <li>
    Establish and enforce architecture standards, principles, and governance processes.
   </li>
   <li>
    Provide active code review to all code/data provided by data engineers. Ensure Data Team pull requests are submitted into corresponding Git repositories.
   </li>
   <li>
    Ensure compliance with enterprise standards and work in collaboration with the internal audit department to ensure all internal standards and quality objectives are met.
   </li>
   <li>
    Maintain GIT repositories and have a corresponding data dictionary in SharePoint.
   </li>
   <li>
    Collaborate with other departments to co-create and co-design reports that are meaningful and useful for the business and should report in Power BI visualizations.
   </li>
  </ul>
  <li>
   Requirements:
  </li>
  <ul>
   <li>
    Bachelor's degree in Computer Engineering, Software Engineering, Mathematics, Finance, or a relevant/equivalent field.
   </li>
   <li>
    5-10 years of experience in Business Intelligence, data architecture, or data management-related fields.
   </li>
   <li>
    Background in finance, data warehouse management, data visualization, banking, or experience in loan/credit operations preferred. U.S. experience is a plus.
   </li>
   <li>
    Previous managerial experience is required.
   </li>
   <li>
    Excellent English proficiency (C1 or above).
   </li>
   <li>
    Must have own laptop (company does not provide equipment).
   </li>
   <li>
    Strong analytical skills and attention to detail.
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   CONTRACT/CONSULTANCY POSITION
  </li>
  <li>
   PTO Available
  </li>
  <li>
   100% Work from home
  </li>
 </ul>
</div>


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10000 data warehouse manager jobs NEAR_ME

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Remote - Business Intelligence Manager

Remote - Business Intelligence Manager