CrawlJobs Logo

Engineer - Methods & Tools (Data Analyst)

India, Bangalore Area · Job Posted February 23, 2026
Apply Position
Job Link Share

Job Description

Engineer - Methods & Tools (Data Analyst). About The Team: Methods & Tools is a transverse team working with different core engineering verticals in Airbus. The USP of this team is working in a multi-functional environment providing digital solutions to engineering problems. The team plays an enabler role in various digitization initiatives across Airbus Engineering utilizing the latest technologies and the domain knowledge they have. Some examples of the digital solutions are Data driven designs of wiring, automated routing for electrical harnesses, Data Analytics based products aimed at reducing physical tests of material specimens. We also involve in developing web-based solutions to encapsulate and automate different workflows such as flight test planning. Some of the tools developed are used in the areas of Aircraft safety analysis. We believe in and follow Agile, Scrum and SAFe methodologies in developing these state of the art digital products.

Job Responsibility

  • Working in a multi-functional environment providing digital solutions to engineering problems
  • Playing an enabler role in various digitization initiatives across Airbus Engineering utilizing the latest technologies and domain knowledge
  • Developing digital solutions such as Data driven designs of wiring, automated routing for electrical harnesses, Data Analytics based products aimed at reducing physical tests of material specimens
  • Developing web-based solutions to encapsulate and automate different workflows such as flight test planning
  • Developing tools used in the areas of Aircraft safety analysis

Requirements

  • Good knowledge in Programming (Python, SQL)
  • Analytical Skills: Strong ability to think critically, solve problems, and make sound judgments based on data
  • Statistical Analysis: Proficiency in using statistical software and applying statistical techniques
  • Good in Data Visualization: Creating charts, graphs, and dashboards to present findings in a clear and understandable manner
  • Good in Data Collection and Cleaning
  • Experience in Database Management: Designing, developing, and maintaining databases and data systems
  • Strong Problem Solving Capabilities
  • High attention to detail and a commitment to data accuracy
  • Preparing reports and communicating insights to stakeholders, both verbally and in writing
  • Experience in Strong communication skills to confidently deliver multiple projects across many teams
  • Obsessively passionate and inquisitive, and ability to analyze large features and implement practical solutions
  • Excellent debugging skills
  • Ability to work in a fast-paced environment that requires quick adoption of new techniques and out-of-the-box thinking
  • Coordinates and synchronizes with Product Owners
  • Good understanding of Agile methodologies (SAFe / Scrum / Kanban)
  • Overall understanding of the Software Development Lifecycle (SDLC)
  • Overall experience: 4+ Years

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Engineer - Methods & Tools (Data Analyst)

8 matching positions

Data Analyst

We are looking for a Data Analyst to join a printing and publishing organization...
Location
Location
United States , Shakopee
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in data analysis within IT, enterprise systems, or application-focused environments
  • Strong hands-on expertise with SQL, Python, and advanced Excel for complex analysis and data preparation
  • Experience working with Oracle and other integrated business systems in a cross-functional enterprise setting
  • Solid understanding of data movement, system interfaces, and core data architecture principles
  • Proficiency with reporting and visualization platforms such as Power BI or Tableau
  • Demonstrated ability to analyze incomplete, inconsistent, or unstructured data and produce accurate, actionable insights
  • Strong communication skills with the ability to explain technical findings clearly to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Examine data from enterprise, order management, and operational platforms to support reporting and analysis across quote-to-cash activities such as quoting, invoicing, shipping, and billing
  • Gather, transform, and reconcile information from multiple sources, including Oracle-based environments, internal business applications, and external logistics or shipping systems
  • Investigate reporting discrepancies by identifying broken data relationships, integration weaknesses, and process issues that affect downstream accuracy
  • Perform advanced analysis using SQL, Python, and Excel to uncover trends, exceptions, and root causes within high-volume datasets
  • Cleanse, standardize, and match structured and unstructured records across systems to improve consistency and usability of business data
  • Apply validation methods, reconciliation logic, and fuzzy matching techniques to strengthen data quality and improve alignment between connected platforms
  • Build, update, and maintain dashboards and visual reports using tools such as Power BI, Tableau, or similar business intelligence solutions
  • Collaborate with IT teams, data engineers, and business partners to translate analytical findings into practical system and process enhancements
  • Contribute to ongoing data governance efforts and support broader initiatives focused on improving data quality, reporting reliability, and enterprise data management
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Senior Data Analyst

We are seeking a Senior Data Analyst, for a project-based assignment, to help dr...
Location
Location
Mexico
Salary
Salary:
Not provided
techholding.co Logo
Tech Holding
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field
  • 4+ years in data analytics or related fields, with 2+ years providing technical guidance to teams
  • Proven experience in an e-commerce environment, preferably subscription-based models
  • Expertise in advanced analytics and statistical methods
  • Proficiency in Tableau, Snowflake, SQL, Python, or R
  • Strong ability to communicate technical details and high-level business strategies to mixed audiences
Job Responsibility
Job Responsibility
  • Business Intelligence: Build and maintain dashboards, reports, and ad hoc analyses in Tableau and Snowflake to drive data-driven decisions
  • Advanced Analytics: Lead hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategy
  • Process Automation: Develop SQL/Python automation and workflow tools (Airflow, dbt) to monitor data quality and alert stakeholders in real time
  • E-commerce Focus: Drive insights on customer acquisition, retention, and user experience within a subscription-based model
  • Cross-functional Collaboration: Partner with Engineering, Marketing, and Product to align business needs with data initiatives and drive execution
  • Communication & Storytelling: Translate complex data into compelling narratives with actionable recommendations for stakeholders at all levels
Read More
Arrow Right

Senior Operations Data Analyst - Reliability Strategy

The System Performance, Reliability and Resiliency Strategy team within the over...
Location
Location
United States , Oakland
Salary
Salary:
105000.00 - 169000.00 USD / Year
pge.com Logo
PG&E Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BA/BS Degree in Marketing, Business, Computer Science, Engineering, or other related field, or equivalent work experience
  • 4 years of related work experience
Job Responsibility
Job Responsibility
  • Lead the extraction, management, and analysis of operational data to support PG&E’s enterprise reliability strategy, enabling data-driven decisions across Electric Transmission and Distribution Engineering
  • Design, develop, and optimize scalable data pipelines, tools, and databases to ensure high-quality, timely, and reliable delivery of performance data and insights
  • Develop and implement advanced automated data processes, including data validation, cleansing, and transformation, to improve accuracy, efficiency, and repeatability of reporting
  • Deliver complex analytical products, including dashboards, models, and ad hoc analyses, that provide actionable insights into reliability performance, risk, and trends
  • Integrate predictive analytics, forecasting, and performance metrics into reporting frameworks to support proactive strategy development and execution
  • Lead data and analytics workstreams across projects, ensuring successful delivery from intake through analysis, validation, and presentation to stakeholders and leadership
  • Identify and resolve systemic data gaps and quality issues, driving improvements in data accessibility, governance, and usability across the organization
  • Partner with engineering, operations, IT, and strategy teams to define data requirements and ensure alignment with enterprise reliability objectives and regulatory expectations
  • Apply advanced statistical and analytical methods to produce insight-driven recommendations that influence operational and strategic decisions
  • Translate complex data into clear, concise, and executive-ready communications, supporting decision-making at multiple organizational levels
  • Fulltime
Read More
Arrow Right

Azure Data Engineer

Location
Location
United States , Shrewsbury
Salary
Salary:
Not provided
Ventois
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree or its equivalent in computer science, computer information systems, information technology, or a combination of education and experience equating to the U.S. equivalent of a bachelor's degree in one of the aforementioned subjects
  • Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform
  • Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers
  • Identify business problems and management objectives that can be addressed through data analysis
  • translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks
  • Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption
  • identify relationships, trends, and factors that could affect the results of analysis
  • Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes
  • recommend data-driven improvements
  • Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes
Job Responsibility
Job Responsibility
  • Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform
  • Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers
  • Identify business problems and management objectives that can be addressed through data analysis
  • translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks
  • Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption
  • identify relationships, trends, and factors that could affect the results of analysis
  • Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes
  • recommend data-driven improvements
  • Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes
  • implement data quality frameworks including validation rules, cleansing, and reconciliation techniques to ensure accuracy and consistency
  • Fulltime
Read More
Arrow Right

Statistician/Data Analyst - Data Insights and Decision Support

Business Insights & Decision Support will use data to help the business make bet...
Location
Location
Canada , Markham; Oshawa
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience
  • BA or BS in relevant field or equivalent real-world experience
  • Solid understanding of statistical concepts applied to business decisions (e.g., distributions, sampling, variability, correlation vs. causation, and practical significance)
  • Demonstrated ability to interpret data and explain insights to non-technical audiences
  • Strong written and verbal communication skills, with experience creating clear, concise presentations for stakeholders
  • Experience in a business-facing analytics role supporting operations, product, quality, or customer experience
  • Experience working with large or complex datasets and collaborating with data engineers/IT for data access and structure (without needing to own pipelines)
  • Proven cloud experience and familiarity with at least one cloud platform (Azure preferred)
  • Business Acumen: Ability to quickly understand business processes and connect insights into financial and operational outcomes
  • Critical Thinking: Comfortable challenging assumptions, probing for root causes, and weighing multiple explanations
Job Responsibility
Job Responsibility
  • Partner with business stakeholders to clarify questions, frame problems, and define success metrics
  • Translate ambiguous business issues into structured analytical questions and practical approaches
  • Use BI tools (e.g., Power BI, Tableau) and statistical methods (e.g., hypothesis framing, sampling, segmentation, variability) to explore data and identify trends, patterns, and anomalies
  • Develop and interpret descriptive and diagnostic analyses (e.g., trends over time, segmentation, cohort analysis, root cause analysis)
  • Connect analytical findings to business context and clearly explain “what this means” and “what to do next.”
  • Synthesize analyses into clear narratives and executive-ready communications tailored to non-technical audiences
  • Communicate trade-offs, limitations, and assumptions in a way that supports sound decision-making
  • Facilitate discussions around insights, align actions, and track follow-up results
  • Identify opportunities to improve data quality, metric definitions, and reporting consistency in partnership with IT/data engineering
  • Document analytic approaches, business logic, and metric definitions for reuse and transparency
What we offer
What we offer
  • Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave
  • Healthcare, dental and vision benefits including health care spending account and wellness incentive
  • Life insurance plans to cover you and your family
  • Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement
  • GM Vehicle Purchase Plan for you, your family, and friends
  • Fulltime
Read More
Arrow Right

Data Analyst, Senior

As data analyst, you love diving into data and turning it into meaningful insigh...
Location
Location
United States of America , Annapolis Junction
Salary
Salary:
77600.00 - 176000.00 USD / Year
boozallen.com Logo
Booz Allen Hamilton
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience with classified, collateral, and OSINT data sources and query functionalities
  • Experience developing fingerprints, micro-plugins, analytics, and notebooks using client discovery and analytic tools
  • Experience converting data into various formats and preserving meaning
  • Experience as a cyber analyst, including TDNA or DNEA
  • Knowledge of Python, SQL, and regex
  • Ability to select data, join, and enrich various datasets
  • Ability to communicate technical information and recommendations to peers, engineers, and analytic customers
  • Ability to travel up to 25% of the time
  • TS/SCI clearance with a polygraph
  • HS diploma or GED and 6+ years of experience with data analytics, or Bachelor’s degree and 4+ years of experience with data analytics
Job Responsibility
Job Responsibility
  • Manipulate and clean large, disparate datasets for bulk analysis to identify connections
  • Utilize different programming languages to modify, write, and execute code, open, read, and modify files, and write output to different files
  • Provide actionable recommendations to critical stakeholders based on data analysis and findings
  • Solicit and engage with analysts across your host client team to understand data flow challenges, and gaps in tool or data set knowledge, and brainstorm methods to streamline analytic workflows
  • Work as part of a team with government, military, and contractor personnel across organizations to research, develop, optimize, test, and document data-related tradecraft, leverage and utilize data source acquisitions and accesses, and troubleshoot data flow issues related to mission needs
  • Generate actionable recommendations, strategic insights, and data-centric solutions through the collection, interpretation, evaluation, and analysis of large data sets
  • Use your data analytics expertise to support client and stakeholder relationships
  • Research, develop, and test data methodologies, and generate cross-functional solutions through analysis and interpretation of large data sets
  • Contribute to impactful work and guide decision-making across multiple organizations
  • Apply consulting skills and data analytics expertise by simplifying technical requirements and trends for both technical and non-technical audiences
What we offer
What we offer
  • health benefits
  • life insurance
  • disability insurance
  • financial benefits
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • Fulltime
Read More
Arrow Right

Data Analyst

We are looking for a Data Analyst to join a machinery manufacturing organization...
Location
Location
United States , San Antonio
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Business, Computer Science, or a related field
  • At least 3 years of experience working with advanced data modeling and business intelligence tools, including Power BI
  • Hands-on expertise with Azure Synapse Analytics, Microsoft Fabric, and Power BI semantic model development
  • Strong technical skills in T-SQL, Python, ETL processes, and dashboard creation for business reporting
  • Familiarity with Delta Lake, Parquet, data lakes, and lakehouse-style data architecture
  • Ability to communicate effectively with both technical and non-technical teams across operations, engineering, sales, and accounting
  • Proven ability to manage multiple priorities, investigate data issues independently, and deliver accurate work under deadlines
Job Responsibility
Job Responsibility
  • Partner with business intelligence colleagues to shape and deliver analytics initiatives that support organizational objectives
  • Build, enhance, and optimize Power BI semantic models, dashboards, and reporting assets for accuracy, usability, and performance
  • Establish and reinforce standards for data governance, access control, compliance, and stewardship across reporting environments
  • Advance DevOps and CI/CD methods to improve the consistency and efficiency of Power BI development and deployment processes
  • Maintain strong data quality practices by tracking lineage, improving documentation, and validating key data assets
  • Contribute to data integration and transformation efforts involving both established platforms and newer cloud-based environments
  • Meet with stakeholders across departments to gather reporting needs and convert them into scalable business intelligence solutions
  • Offer technical guidance to teammates and collaborate across functions to support enterprise reporting goals
  • Assist with planning activities tied to business intelligence and broader data strategy initiatives
  • Provide after-hours assistance when needed and support additional priority projects as assigned
What we offer
What we offer
  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Disability insurance
  • 401(k) plan
  • Free online training
  • Fulltime
Read More
Arrow Right

Data Engineer

The Data Engineer is responsible for building and maintaining the technical back...
Location
Location
India , Pune
Salary
Salary:
Not provided
srkay.com Logo
SRKay Consulting Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Has deep expertise in data scraping, ingestion, preprocessing, normalization, and data management best practices in a production environment
  • Demonstrates strong command of Python and SQL, with experience building and maintaining data pipelines and analytics services
  • Applies statistical and data science methods confidently (e.g., regression, classification, clustering, time-series, sampling, hypothesis testing)
  • Has hands-on experience with ML and NLP in real-world settings (e.g., classification, sentiment analysis, topic modeling, entity extraction, summarization)
  • Is fluent with AI/LLM and agentic tools (e.g., using APIs, orchestration frameworks, or workflow engines) and is eager to experiment with new approaches
  • Is comfortable building Tableau-ready data models and collaborating with dashboard developers to ensure performance and usability
  • Is an innovative and creative thinker who enjoys connecting disparate data sources and systems into cohesive analytics solutions
  • Has a strong ability to explain technical concepts to a non-technical audience
  • Thrives in collaborative environments and partners effectively with insights professionals, analysts, and client-facing teams
  • Takes an ownership mindset, holds a high bar for quality, and is motivated by building systems that others can rely on
Job Responsibility
Job Responsibility
  • Design, build, and maintain end-to-end data pipelines for media, reputation, and stakeholder datasets, from ingestion and scraping through preprocessing, normalization, and storage
  • Implement and enforce data hygiene standards so analytical datasets are cleanly integrated, well-documented, and easily accessible across the Insights & Analytics team
  • Operationalize and productionize advanced analytics workflows in Python and SQL including feature engineering, model scoring, and metric computation
  • Develop and maintain derived metrics and indices that can be reused across clients and products
  • Architect and monitor analytics systems ensuring accuracy, reliability, and performance at scale
  • Integrate third-party analytics tools and media data sources (e.g., social media APIs, alternative datasets) into the PublicRelay analytics stack
  • Implement rigorous logging, monitoring, and alerting for data pipelines and analytics services to catch issues early and minimize downtime
  • Apply core statistics and data science methods (regression, classification, clustering, time-series analysis, sampling, A/B testing) to support new metrics, models, and analytics features
  • Build and maintain ML workflows (training, evaluation, deployment) for tasks such as NLP, sentiment analysis, topic modeling, classification, and entity-level analytics
  • Design and implement AI- and LLM-powered agents to automate repetitive analytics tasks, data enrichment, tagging, and insight surfacing across large-scale media datasets
  • Fulltime
Read More
Arrow Right