our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and pattern … analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Proven experience as a Data Scientist, especially with AWS analytics. Strong proficiency in … AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Analytical, problem-solving, and critical thinking skills. Experience with social media analytics and user behavior. Familiarity with big More ❯
will shape our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. … Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in … AWS analytics services (Redshift, Athena, EMR, QuickSight). Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data technologies More ❯
shaping our data strategy and driving growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and … pattern analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in … AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Familiarity with big data technologies like Hadoop More ❯
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses? Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action? The Amazon Digital Acceleration (DA) Analytics team is looking for an … technically skilled individual to join our team. In this role, you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers. An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture, and big data solutions. You should have strong business judgment, excellent … communication skills. BASIC QUALIFICATIONS 3+ years of data engineering experience Experience with data modeling, warehousing, and building ETL pipelines Experience with SQL PREFERRED QUALIFICATIONS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases More ❯
Business Intelligence Engineer, AOP Team *** The role is for 1 year term in Amazon Job Description Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for strategy planning, transportation and fulfillment network? If so, then this is the job … and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in … of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon’s worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to More ❯
shaping our data strategy and supporting business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop and implement analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and … segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights for product and user engagement improvements. Collaborate with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields. Experience as a … Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Strong understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Analytical and problem-solving skills. Experience with social More ❯
recommendations, shaping our data strategy and supporting business growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for … predictive and pattern analyses. Identify key metrics, develop KPIs, and create dashboards for decision-making using Amazon QuickSight. Perform exploratory data analysis to find trends and insights for product and user engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or … related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem More ❯
shape our data strategy and support business growth. Responsibilities: Work with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for … predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights for product and user engagement improvements. Collaborate with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or … related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and More ❯
Business Intelligence Engineer II, Delivery Experience The Amazon Delivery and Shopping Experience Product Team is looking for talented Business Intelligence Engineers (BIE) who develop solutions to better optimize customer experience and shopping experience by disproportionately improving discoverability and speed. As part of Amazon's DEX product team, our team members have the opportunity to be at the forefront … leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at … collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. A day in the life • Perform complex data analysis (correlations, regressions, simulations, optimization, etc.) and identify improvement opportunities on key customer experience metrics (sales, speed perception More ❯
Business Intelligence Engineer, MENA Product Team The Amazon MENA CX Product team is looking for an analytical and technically skilled business intelligence engineer to join our team. Our team turns disparate, raw data into actionable insights that improve every customer's ability to securely discover, evaluate, and purchase products and services across the Amazon store. We own the … scripting for automation (e.g. Python) Experience with theory and practice of design of experiments and statistical analysis of results BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such … pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for More ❯
Collaborate with cross-functional teams to develop data-driven solutions that support business growth. Responsibilities: Work with teams to understand data needs and analytics goals. Use AWS tools like AmazonRedshift, Athena, EMR, and QuickSight for data analysis. Create data pipelines and ETL processes for data integration. Apply statistical and machine learning techniques for analysis and modeling. Develop … AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, Python/R/Scala. Experience with SQL, NoSQL, and data visualization tools. More ❯
driven solutions, and contribute to the company's growth. Responsibilities Collaborate with teams to define analytics goals and understand business objectives. Implement data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Develop KPIs … and dashboards for decision-making using Amazon QuickSight. Conduct exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture and governance. Requirements Bachelor's or master's degree in relevant fields. Experience with AWS analytics services and cloud-based data analysis. Proficiency in AWS tools, data modeling, ETL, and data warehousing. Skills in More ❯
to develop data-driven solutions and shape our data strategy. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and pattern analysis. Create … Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL More ❯
recommendations, shaping our data strategy and driving growth. Responsibilities Work with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from various sources into AWS. Apply statistical and machine learning techniques for predictive and pattern … analysis. Identify key metrics, create KPIs, and develop dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements. Collaborate with data engineers to optimize data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist More ❯
with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities: Understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop … s or master's degree in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools such as Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Knowledge of statistical analysis, machine learning, and programming languages like Python, R, or Scala. Experience with SQL More ❯
Amazon IN Platform Development team is looking to hire a rock star Data/BI Engineer to build for pan Amazon India businesses. Amazon India is at the core of hustle @ Amazon WW today and the team is charted with democratizing data access for the entire marketplace & add productivity. That translates to owning the processing of … every Amazon India transaction, for which the team is organized to have dedicated business owners & processes for each focus area. The BI Engineer will play a key role in contributing to the success of each focus area, by partnering with respective business owners and leveraging data to identify areas of improvement & optimization. He/She will build deliverables like … teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Be enthusiastic about building deep domain knowledge about Amazon’s business. - Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. - Enjoy working closely with your peers More ❯
data engineers, product managers, and stakeholders to craft data-driven solutions. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Create dashboards and KPIs … with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially in AWS cloud environments. Proficiency in AWS analytics tools: Redshift, Athena More ❯
our data strategy to support business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Implement data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive analysis … Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Knowledge of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data More ❯
teams, and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Create data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and … dashboards for decision-making using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers to optimize data architecture and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. More ❯
We're seeking a Business Intelligence Engineer (12-month Fixed Term Contract) to join our Ship With Amazon (SWA-EU) Sales & Operations Planning Analytics team . In this role, you'll leverage advanced analytics to optimize our First Mile (FM) and Middle Mile (MM) network operations and develop forecasting solutions to enhance operational efficiency. This role will also involve … Experience with SQL Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing, and building ETL pipelines Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS … solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets #J-18808-Ljbffr More ❯
influence our data strategy to support business growth. Responsibilities: Understand business objectives, data requirements, and analytics goals with cross-functional teams. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and … s or master's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience as a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data More ❯
Sr Business Intelligence Engineer, Data and Analytics Job ID: Amazon EU SARL (UK Branch) - D67 Unlock the power of data and transform transportation operations with analytics solutions! Join our dynamic team in London and become a pivotal force in developing innovative insights that drive strategic decision-making across European transportation networks. You'll be at the forefront of creating … large (multi-TB) data sets PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with AWS technologies Amazon is an equal opportunities employer. We believe passionately … data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver More ❯
solutions and recommendations, shaping our data strategy and driving growth. Responsibilities: Understand business objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop … KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like RedshiftMore ❯
Business Intelligence Engineer, Finance Operations, Global Data & Analytics (GDA) team Job ID: 2898829 | Amazon/Slovakia/s.r.o. The Business Intelligence Engineer will be a part of the high-visibility, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. The GDA team are seeking an exceptionally talented and deeply focused Business Intelligence Engineer who can build reporting … of the world’s largest Account Payables and Receivables teams to operate at scale, and resolve process defects. The role will navigate ambiguity to rapidly build their knowledge of Amazon’s “Order to Cash” and “Procure to Pay” processes (and their accompanying data sets) to become a trusted analytics partner for our 2,000+ business partners across Finance Operations … and QuickSight dashboards • Optimize and organize data pipelines into the visualization environment • Collaborate with business users on requirements, objectives and measures • Access and use analytical tools (various databases on Amazon’s data, SQL). • Provides input and recommendations on technical issues to data engineering team • Reviews technical work of other team members, provide improvement advice • Significantly contribute to data More ❯
and employees and build relationships based on trust and value. Role Overview The Principal Data Architect will design and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use ‘other’ tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow, Tableau, Power BI etc. Transformational … ML) Designing & developing data models aligned to the functional and non-functional requirements Work closely with other members of agile deployment team Selection & configuration of appropriate, base technologies (eg AmazonRedshift, RDS) Selection & application of appropriate standards & principles Capture & implementation of functional & non-functional requirements Expert in data modelling and latest data trends including Data Warehouses, Data Lakes More ❯
