business intelligence engineer

Hepsiburada (NASDAQ: HEPS)

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 <p>
  At Hepsiburada, we are driven by our mission to improve people's lives by developing innovative products and services. Prioritizing customer satisfaction, we offer over 280 million products across more than 30 categories. Through our marketplace model, we bring together over 100,000 businesses. With T&uuml;rkiye&rsquo;s and the region's largest Smart Operations Center, industry-leading R&amp;D initiatives, and innovative solutions, we contribute significantly to the growth of the e-commerce ecosystem. For the past two years, we have proudly held the title of Turkey's most recommended e-commerce platform.
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  Through our innovative services like HepsiJET, Hepsipay, HepsiLojistik, HepsiAd, and Hepsiburada Global, we create value for all our stakeholders. Committed to harnessing technology for social benefit, our &ldquo;Technology Empowerment for Women Entrepreneurs&rdquo; program has connected thousands of women entrepreneurs with e-commerce, supporting their growth. Our goal is to leverage digitalization and e-commerce to enable greater economic participation.
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  With 25 years of experience driven by innovation and entrepreneurship, we proudly continue our journey as &ldquo;T&uuml;rkiye&rsquo;s Hepsiburada&rdquo; and the first and only Turkish company listed on NASDAQ, the world's leading technology exchange.
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  For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.
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  If you want to be part of a team that creates value for everyone and makes life easier through innovative products and services&mdash;and contribute to exciting success stories&mdash;the future starts here.
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  <strong>
   Responsibilities:
  </strong>
 </p>
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 </p>
 <ul>
  <li>
   Developing, analyzing and maintaining the dashboards which are produced in BI Platforms,
  </li>
  <li>
   Ensuring BI Platforms &amp; Decision-making Systems serve continuously and produce consistent reports,
  </li>
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   Execution of relevant test and maintenance stages in all BI processes,
  </li>
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   Meeting the problems and new development requests coming to the unit within the scope of business intelligence,
  </li>
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   Contribute to the performance and architecture management of the BI reporting tool used.
  </li>
 </ul>
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  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
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 </p>
 <ul>
  <li>
   B.S. degree preferably in Computer Science, Industrial Engineering, MIS, Mathematics, or related fields,
  </li>
  <li>
   At least 3 years of experience in Business Intelligence tools; such as QlikSense, QlikSense SAAS, QlikView vs.
  </li>
  <li>
   Knowledge of Data Modeling, Data Warehousing and ETL processes,
  </li>
  <li>
   Knowledge of Cloud platforms, such as Google Cloud Platform,
  </li>
  <li>
   Knowledge of Data Governance principles and approach,
  </li>
  <li>
   Seeing reporting not only as an interface that shows the past but also as an analytical and forward-looking tool.
  </li>
 </ul>
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 </p>
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 <p>
  https://medium.com/hepsiburadatech
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 <p>
  https://stackshare.io/hepsiburada
 </p>
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 </p>
 <p>
  <em>
   Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.&Scedil; (&ldquo;Hepsiburada&rdquo;) taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir.Ayd&inodot;nlatma Metni&rsquo;ne https://www.hepsiburada.com/kisisel-verilerin-korunmasi linkinden ula&scedil;abilirsiniz.
  </em>
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</div>


Business Intelligence Engineer

<div>
 <strong>
  Job Duties Include But Are Not Limited To
  <br/>
  <br/>
 </strong>
 The Business Intelligence (BI) Engineer is responsible for the end-to-end design, development, and maintenance of BI solutions, including data warehousing, integration layers, and dashboard development using enterprise BI tools. The role requires close collaboration with various departments to translate raw data into structured, meaningful insights for optimized decision-making processes. The position demands a strong technical understanding of data architecture and business intelligence frameworks.
 <br/>
 <br/>
 <ul>
  <li>
   Design, implement, and maintain the data warehouse architecture to ensure data integrity scalability and efficiency.
  </li>
  <li>
   Create and maintain data models to support reporting and analytics initiatives.
  </li>
  <li>
   Optimize ETL processes for data extraction, transformation, and loading, ensuring data integrity and accuracy. Ensure data from multiple sources is aggregated, cleansed, and stored accurately in data warehouses.
  </li>
  <li>
   Develop and maintain a variety of reports and dashboards using business intelligence tools (OBIE, Power BI).
  </li>
  <li>
   Implement and enforce data governance policies and procedures to ensure data quality and security.
  </li>
  <li>
   Use current change control standards and SDLC to successfully implement solutions.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate Oracle applications with other enterprise tools and applications.
  </li>
  <li>
   Take ownership and resolve service requests within SLA timelines.
  </li>
  <li>
   Lead the planning and implementation of application and technology updates and upgrades.
  </li>
  <li>
   Ensure data integrity and security across Oracle platforms.
  </li>
  <li>
   Document technical processes and develop user guides for new applications.
  </li>
  <li>
   Develop and manage BI tools, dashboards, and reporting systems using tools such OBIE/OAC, Power BI, or other relevant platforms.
  </li>
  <li>
   Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Collaborate with business users to gather requirements and translate them into technical specifications.
  </li>
  <li>
   Optimize SQL queries, BI tools, and data pipelines to enhance performance and ensure efficient data retrieval.
  </li>
  <li>
   Document BI systems and processes to ensure transparency and facilitate maintenance and knowledge transfer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualification
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in computer science, Information Systems, Data Science or a related field.
  </li>
  <li>
   Minimum of 8 years of experience with Oracle BI applications, Power BI
  </li>
  <li>
   Experience in creating data warehouse (e.g., star schema)
  </li>
  <li>
   Experience with data modeling tools
  </li>
  <li>
   Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus
  </li>
  <li>
   Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Google Big Query, Snowflake) is a plus.
  </li>
  <li>
   Experience with scripting languages (e.g., Python, R) is a plus.
  </li>
  <li>
   Strong communication and collaboration abilities. Strong analytical, troubleshooting, performance tuning, and debugging skills.
  </li>
  <li>
   Understanding of data governance, data quality, and security practices
  </li>
  <li>
   Experience in Waterfall and Agile Methodology
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Professional Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Oracle Database: SQL, PL/SQL, Java
  </li>
  <li>
   Application Development: Reports, BI publisher, Application APIs, Oracle Forms
  </li>
  <li>
   Application Technology: Oracle Alerts, Oracle Business Events, Workflow, Web ADI, OAF, APEX is a plus.
  </li>
  <li>
   Integration Technologies: Informatica, Data Warehouse Administration Console (DAC), Oracle Data integrator (ODI) Oracle Integration Cloud (OIC), Integration SOA Gateway, Rest APIs, familiar with XML, XSLT, and JSON data formats.
  </li>
  <li>
   Cloud: Oracle Cloud Infrastructure and cloud migration strategies.
  </li>
  <li>
   Reporting and analytics with Oracle BI, Power BI
  </li>
 </ul>
</div>


Senior Business Intelligence Engineer

<div><div><b>Job duties include but are not limited to:</b></div><div></div><div><br>
The Business Intelligence (BI) Engineer is responsible for the end-to-end design, development, and maintenance of BI solutions, including data warehousing, integration layers, and dashboard development using enterprise BI tools. The role requires close collaboration with various departments to translate raw data into structured, meaningful insights for optimized decision-making processes. The position demands a strong technical understanding of data architecture and business intelligence frameworks.</div><ul><li>
Design, implement, and maintain the data warehouse architecture to ensure data integrity scalability and efficiency.</li><li>
Create and maintain data models to support reporting and analytics initiatives.</li><li>
Optimize ETL processes for data extraction, transformation, and loading, ensuring data integrity and accuracy. Ensure data from multiple sources is aggregated, cleansed, and stored accurately in data warehouses.</li><li>
Develop and maintain a variety of reports and dashboards using business intelligence tools (OBIE, Power BI).</li><li>
Implement and enforce data governance policies and procedures to ensure data quality and security.</li><li>
Use current change control standards and SDLC to successfully implement solutions.</li><li>
Collaborate with cross-functional teams to integrate Oracle applications with other enterprise tools and applications.</li><li>
Take ownership and resolve service requests within SLA timelines.</li><li>
Lead the planning and implementation of application and technology updates and upgrades.</li><li>
Ensure data integrity and security across Oracle platforms.</li><li>
Document technical processes and develop user guides for new applications.</li><li>
Develop and manage BI tools, dashboards, and reporting systems using tools such OBIE/OAC, Power BI, or other relevant platforms.</li><li>
Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Collaborate with business users to gather requirements and translate them into technical specifications.</li><li>
Optimize SQL queries, BI tools, and data pipelines to enhance performance and ensure efficient data retrieval.</li><li>
Document BI systems and processes to ensure transparency and facilitate maintenance and knowledge transfer.</li></ul><div></div><div><b><br>
Required</b><b> </b><b>Qualification:</b></div><div><b>
</b></div><ul><li>
Bachelor's or Master's degree in computer science, Information Systems, Data Science or a related field.</li><li>
Minimum of 8 years of experience with Oracle BI applications, Power BI</li><li>
Experience in creating data warehouse (e.g., star schema)</li><li>
Experience with data modeling tools</li><li>
Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus</li><li>
Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Google Big Query, Snowflake) is a plus.</li><li>
Experience with scripting languages (e.g., Python, R) is a plus.</li><li>
Strong communication and collaboration abilities. Strong analytical, troubleshooting, performance tuning, and debugging skills.</li><li>
Understanding of data governance, data quality, and security practices</li><li>
Experience in Waterfall and Agile Methodology</li></ul><div>
</div><div><b>
Required Professional Skills:</b></div><div>
</div><ul><li>
Oracle Database: SQL, PL/SQL, Java</li><li>
Application Development: Reports, BI publisher, Application APIs, Oracle Forms</li><li>
Application Technology: Oracle Alerts, Oracle Business Events, Workflow, Web ADI, OAF, APEX is a plus.</li><li>
Integration Technologies: Informatica, Data Warehouse Administration Console (DAC), Oracle Data integrator (ODI) Oracle Integration Cloud (OIC), Integration SOA Gateway, Rest APIs, familiar with XML, XSLT, and JSON data formats.</li><li>
Cloud: Oracle Cloud Infrastructure and cloud migration strategies.</li><li>
Reporting and analytics with Oracle BI, Power BI</li></ul></div>

Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Office<p></p><p><b>
Job Description</b></p><p></p><h2 class="jobSectionHeader"><b>
Location</b></h2><p>
Bangalore/Mumbai</p><h2 class="jobSectionHeader"><b>
Discover Impactful Work:</b></h2><p>
This role sits in the APAC Data Engineering and Visualization team. You will play a pivotal role in transforming data into actionable insights using Power BI in the APJ region</p><h2 class="jobSectionHeader"><b>
A day in the Life:</b></h2><ul><li>
Collaborate with business partners to gather data requirements, analyze data sources, and design dashboards that provide valuable insights.</li><li>
Clean, transform, and prepare data for analysis, ensuring data accuracy and integrity.</li><li>
Build visually appealing and interactive Power BI dashboards that enabling data-driven decision-making across the organization.</li><li>
Monitor and optimize solutions for performance, scalability, and data refresh efficiency.</li><li>
Collaborate with data governance to implement standard processes to maintain data quality and security.</li><li>
Maintain detailed documentation of Power BI solutions, data models, and processes for operational support and compliance.</li><li>
Provide <b>technical leadership and mentoring</b> for junior developers.</li></ul><h2 class="jobSectionHeader"><b>
Keys to Success:</b></h2><h2 class="jobSectionHeader"><b>
Education</b></h2><ul><li>
Bachelor&rsquo;s degree in Statistics, Computer Science or related field.</li></ul><h2 class="jobSectionHeader"><b>
Experience</b></h2><ul><li><b>
6+ years</b> of proven experience as a Power BI Developer/BI Engineer, with proven expertise in <b>complex data modeling, DAX, and Power Query.</b></li><li>
Strong expertise in <b>SQL</b> (optimization, stored procedures, indexing, query tuning)</li><li>
Understanding of Databricks and AWS technologies &ndash;Redshift, Athena, S3, EC2 etc.</li></ul><h2 class="jobSectionHeader"><b>
Knowledge, Skills, Abilities</b></h2><ul><li>
Advanced Power BI expertise &ndash; <b>row-level security, paginated reports, dataflows, composite models, deployment pipelines.</b></li><li>
Strong SQL skills for data manipulation and extraction.</li><li>
Excellent analytical and problem-solving skills.</li><li>
Good communication and collaboration skills.</li><li>
Ability to thrive in a fast-paced, global, and collaborative environment.</li></ul><h2 class="jobSectionHeader"><b>
Physical Requirements / Work Environment</b></h2><p>
Thermo Fisher Scientific values the health and wellbeing of our employees. We support and encourage individuals to create a healthy and balanced environment where they can thrive. You have the flexibility of mind to handle business dynamics and show eagerness to learn new things. You&rsquo;re a proven Champion in setting a vision regarding data management platforms, able to build consensus and agreement among key partners that may be in other groups. You&rsquo;re flexible in terms of working hours to meet the needs of international internal customers and team members and have a &lsquo;getting things done&rsquo; and hands-on mentality.</p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><p>
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!</p></div><p></p>

Business Intelligence Engineer III

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing &amp; Planning organization builds the software, algorithms and tools that make the &ldquo;magic&rdquo; of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives.
<br>
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As part of the Last Mile Science &amp; Technology organization, you&rsquo;ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role.<br>
<br>
<br>
<br>
Responsibilities:
<br>
<ul><li>Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations
</li><li>Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities
</li><li>Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value
</li></ul>Navigate ambiguity to develop analytic solutions and shape work for junior team members
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with scripting language (e.g., Python, Java, or R)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer , Amazon Last Mile

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you.<br>
<br>
We are seeking a passionate Business Intelligence Engineer, III to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making.<br>
<br>
The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer, III at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history!<br>
<br>
Key job responsibilities<br>
<ul><li>Build visually stunning, interactive dashboards and reports that provide actionable insights to
</li></ul>GREF customers using Amazon QuickSight<br>
<ul><li>Lead the design and implementation of highly complex, scalable, and high-performance BI
</li></ul>architectures and data models to support the organization's strategic business objectives<br>
<ul><li>Use advanced analytics techniques, such as statistical analysis, predictive modeling, and
</li></ul>machine learning, to uncover hidden patterns and trends in data<br>
<ul><li>Collaborate cross-functionally with data engineers, data scientists, and business partners to
</li></ul>define and deliver impactful BI solutions that drive business value<br>
<ul><li>Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities</li><li>Represent the BI function in strategic business discussions and provide data-driven
</li></ul>recommendations to senior leadership</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Statistics, Computer Science, Computer Engineering, Information Management/Systems, Business Analytics or other related discipline</li><li>8+ years of business intelligence and analytics experience</li><li>Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages</li><li>Experience with AWS or cloud technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience driving direction and alignment with cross-functional teams</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Experience managing, analyzing and communicating results to senior leadership</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, III, Amazon FinAuto - GREF Tech

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon&rsquo;s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon&rsquo;s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer.<br>
<br>
In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon&rsquo;s customers.<br>
<br>
We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.<br>
<br>
Key job responsibilities<br>
<ul><li>Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.</li><li>Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.</li><li>Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.</li><li>Identifying data needs and driving data quality improvement projects.</li><li>Thought leadership on data mining and analysis. Understanding the broad range of Amazon&rsquo;s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with scripting language (e.g., Python, Java, or R)</li><li>Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, eCS Data Engineering and Analytics

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