business analyst - data Jobs in Bangalore

business analyst - data

data & ai strategist

data engineer

data engineer – financial infrastructure & analytics Jobs in Bangalore

data engineer – financial infrastructure & analytics

data scientist

data engineer financial infrastructure analytics

Meril

<div>
 
 
 About the Role
 
 
 
 As a
 
 Quantitative Data Engineer
 
 , you will be the backbone of the data ecosystem powering our
 
 quantitative research, trading, and AI-driven strategies
 
 . You will design, build, and maintain the
 
 high-performance data infrastructure
 
 that enables low-latency, high-fidelity access to market, fundamental, and alternative data across multiple asset classes.
 
 
 This role bridges
 
 quant engineering, data systems, and research enablement
 
 , ensuring that our researchers and traders have fast, reliable, and well-documented datasets for analysis and live trading. You&rsquo;ll be part of a cross-functional team working at the intersection of
 
 finance, machine learning, and distributed systems
 
 .
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Architect and maintain scalable ETL pipelines
 
 for ingesting and transforming terabytes of structured, semi-structured, and unstructured market and alternative data.
 </li>
 <li>
 
 Design time-series optimized data stores
 
 and
 
 streaming frameworks
 
 to support low-latency data access for both backtesting and live trading.
 </li>
 <li>
 
 Develop ingestion frameworks
 
 integrating vendor feeds (Bloomberg, Refinitiv, Polygon, Quandl, etc.), exchange data, and internal execution systems.
 </li>
 <li>
 
 Collaborate with quantitative researchers and ML teams
 
 to ensure data accuracy, feature availability, and schema evolution aligned with modeling needs.
 </li>
 <li>
 
 Implement data quality checks, validation pipelines, and version control mechanisms
 
 for all datasets.
 </li>
 <li>
 
 Monitor and optimize distributed compute environments
 
 (Spark, Flink, Ray, or Dask) for performance and cost efficiency.
 </li>
 <li>
 
 Automate workflows
 
 using orchestration tools (Airflow, Prefect, Dagster) for reliability and reproducibility.
 </li>
 <li>
 
 Establish best practices
 
 for metadata management, lineage tracking, and documentation.
 </li>
 <li>
 
 Contribute to internal libraries and SDKs
 
 for seamless data access by trading and research applications.
 </li>
 </ul>
 
 
 In Trading Firms, Data Engineers Typically:
 
 
 <ul>
 <li>
 Build
 
 real-time data streaming systems
 
 to capture market ticks, order books, and execution signals.
 </li>
 <li>
 Manage
 
 versioned historical data lakes
 
 for backtesting and model training.
 </li>
 <li>
 Handle
 
 multi-venue data normalization
 
 (different exchanges and instruments).
 </li>
 <li>
 Integrate
 
 alternative datasets
 
 (satellite imagery, news sentiment, ESG, supply-chain data).
 </li>
 <li>
 Work closely with
 
 quant researchers
 
 to convert raw data into
 
 research-ready features
 
 .
 </li>
 <li>
 Optimize pipelines for
 
 ultra-low latency
 
 where milliseconds can impact P&amp;L.
 </li>
 <li>
 Implement
 
 data observability frameworks
 
 to ensure uptime and quality.
 </li>
 <li>
 Collaborate with
 
 DevOps and infra engineers
 
 to scale storage, caching, and compute.
 </li>
 </ul>
 
 
 Tech Stack
 
 
 <ul>
 <li>
 
 Languages:
 
 Python, SQL, Scala, Go, Rust (optional for HFT pipelines)
 </li>
 <li>
 
 Data Processing:
 
 Apache Spark, Flink, Ray, Dask, Pandas, Polars
 </li>
 <li>
 
 Workflow Orchestration:
 
 Apache Airflow, Prefect, Dagster
 </li>
 <li>
 
 Databases &amp; Storage:
 
 PostgreSQL, ClickHouse, DuckDB, ElasticSearch, Redis
 </li>
 <li>
 
 Data Lakes:
 
 Delta Lake, Iceberg, Hudi, Parquet
 </li>
 <li>
 
 Streaming:
 
 Kafka, Redpanda, Pulsar
 </li>
 <li>
 
 Cloud &amp; Infra:
 
 AWS (S3, EMR, Lambda), GCP, Azure, Kubernetes
 </li>
 <li>
 
 Version Control &amp; Lineage:
 
 DVC, MLflow, Feast, Great Expectations
 </li>
 <li>
 
 Visualization / Monitoring:
 
 Grafana, Prometheus, Superset, DataDog
 </li>
 <li>
 
 Tools for Finance:
 
 kdb+/q (for tick data), InfluxDB, QuestDB
 </li>
 </ul>
 
 
 What You Will Gain
 
 
 <ul>
 <li>
 
 End-to-end ownership
 
 of core data infrastructure in a high-impact, mission-critical domain.
 </li>
 <li>
 Deep exposure to
 
 quantitative research workflows
 
 ,
 
 market microstructure
 
 , and
 
 real-time trading systems
 
 .
 </li>
 <li>
 
 Collaboration with elite quantitative researchers, traders, and ML scientists.
 
 </li>
 <li>
 Hands-on experience with
 
 cutting-edge distributed systems
 
 and
 
 time-series data technologies
 
 .
 </li>
 <li>
 A culture that emphasizes
 
 technical excellence, autonomy, and experimentation.
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in
 
 Computer Science, Data Engineering, or related field.
 
 </li>
 <li>
 
 2+ years
 
 of experience building and maintaining
 
 production-grade data pipelines
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 ,
 
 SQL
 
 , and frameworks like
 
 Airflow
 
 ,
 
 Spark
 
 , or
 
 Flink
 
 .
 </li>
 <li>
 Familiarity with
 
 cloud storage and compute (S3, GCS, EMR, Dataproc)
 
 and
 
 versioned data lakes (Delta, Iceberg)
 
 .
 </li>
 <li>
 Experience with
 
 financial datasets
 
 ,
 
 tick-level data
 
 , or
 
 high-frequency time series
 
 is a strong plus.
 </li>
 <li>
 Strong understanding of
 
 data modeling, schema design, and performance optimization
 
 .
 </li>
 <li>
 Excellent communication skills with an ability to support
 
 multidisciplinary teams
 
 .
 </li>
 </ul>
 
 
</div>

Data Engineer – Financial Infrastructure & Analytics

NTT DATA North America

<div>
 
 Req ID:
 
 344979
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Financial modeling/Data Analysis, Microsoft Excel, Power BI - Developer to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 Financial modeling/Data Analysis, Microsoft Excel, Power BI - Developer
 
 
 TBC: Research and Data Analytics (ARD)
 
 
 Must have skills:
 
 
 Strong research capabilities, with the ability to identify reliable information from multiple sources such as Pitchbook, Capital IQ, Bloomberg, etc. to support strategic decision-making through valuable insights, competitor analysis, and executive-level presentations.
 
 
 Strong proficiency in Microsoft Excel (pivot tables, financial modeling, data analysis)
 
 
 Knowledge of Financial statements (Income statements and Balance Sheet)
 
 
 Attention to detail, especially in all aspects of report making from research to preparation of presentation and client interaction.
 
 
 Good to have skills:
 
 
 Proven experience in PowerBI for building dashboards or Ad hoc analyses.
 
 
 Willing to work on automation projects to drive efficiency
 
 
 
 Minimum Experience On Key Skills
 
 
 
 6-9yrs
 
 
 General Expectation
 
 
 <ul>
 <li>
 Must have Good Communication
 </li>
 <li>
 Must be ready to work in 10:30 AM to 8:30 PM Shift
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Financial modeling/Data Analysis, Microsoft Excel, Power BI - Developer

Oracle

<div>
 
 
 
 
 Role : Java Developer (Oracle Cloud Infrastructure)
 
 
 
 
 
 
 
 
 Level : IC2
 
 
 
 
 
 
 
 
 Years of experience : 1-2 years of full time experience
 
 
 
 
 
 
 
 
 Experience required : Java Backend, Cloud, Data Structure Algorithms,
 
 
 
 
 
 
 
 
 Location : Bangalore (Hybrid)
 
 
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 Are you interested in working on the Storage Infrastructure team that operates with Exabytes of data in 60+ regions? Oracle Cloud Infrastructure (OCI) customers run their businesses on our cloud, and our mission is to provide them with industry-leading computing, storage, networking, database, security, and an ever-expanding set of foundational cloud-based services. Our team seeks hands-on engineers with expertise and passion for solving complex problems in distributed systems, large-scale storage, and scaling services to meet future growth. If this is you, you can be part of the team that drives the best-in-class Storage platform into its next development phase. These are exciting times for the service - we are growing fast and delivering innovative, enterprise-class features to satisfy various customer workloads.
 
 
 
 
 
 As a member of the Block Storage team, you will own the software design and development for core components and features in the Block Storage Service. It would be best if you were a strong programmer and a distributed systems generalist, able to dive deep into any part of the stack and low-level systems and design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn
 
 
 
 
 
 https://www.oracle.com/cloud/storage/block-volumes/
 
 
 Responsibilities
 
 
 We&rsquo;re looking for hands-on engineers with expertise and passion in solving difficult problems in distributed systems, virtualized infrastructure, and highly available storage services. As an engineer, you will own the software design and development for major components of the Block Storage Service Infrastructure. You should be both a rock solid coder and a distributed systems generalist, able to dive deep into any part of the management plane stack, as well as design broad distributed system interactions.
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 &bull; 1+ years experience delivering large scale, highly available distributed systems and backend services.
 
 
 &bull; Extensive experience developing clean code in Java/C++ or similar programming languages and scripting languages such as Python, etc.
 
 
 &bull; Strong knowledge of data structures, algorithms, multi-threading and distributed systems fundamentals.
 
 
 &bull; Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.
 
 
 &bull; Strong troubleshooting and performance tuning skills.
 
 
 &bull; Experience building multi-tenant, virtualized storage infrastructure, data management
 
</div>

Java Developer (IC2) - Oracle Cloud

VEGROW

<div>
 
 
 Job Title:
 
 Business Operations (BizOps) Analyst - Exports
 
 
 
 Department:
 
 Bizops
 
 
 
 Location:
 
 Bangalore
 
 
 
 
 
 
 Role Purpose
 
 
 
 The BizOps Analyst will be the analytical bridge between operations, finance, and
 
 
 business leadership in the export division. The role entails driving data-backed decisions,
 
 
 enhancing operational visibility, improving turnaround times (TAT), and maximizing export
 
 
 profitability through precision analytics and process optimization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 1) Data Analytics &amp; Reporting
 
 
 Automate dashboards (Excel, Power BI, Tableau) to monitor shipment
 
 
 performance, losses, and approvals. Ensure data accuracy across MIS
 
 
 and trackers.
 
 
 
 
 
 2) Business Process Optimization
 
 
 Identify inefficiencies, build logic-based analytics tools, and
 
 
 recommend process improvements across export documentation and
 
 
 finance.
 
 
 
 
 
 3) Financial &amp; Margin Analysis
 
 
 Conduct margin reconciliations, track forex, and simulate pricing
 
 
 models (FOB, CIF, DDP) for multiple geographies.
 
 
 
 
 
 4) Operational Coordination
 
 
 Coordinate with export, logistics, finance, and vendor teams for data
 
 
 integrity and process adherence.
 
 
 
 
 
 5) Forecasting &amp; Diagnostic Analytics
 
 
 Apply mathematical and logical reasoning for demand forecasting,
 
 
 bottleneck prediction, and cost utilization planning.
 
 
 
 
 
 6) SOP Management &amp; Governance
 
 
 Develop and maintain process documentation, SLAs, and audit
 
 
 dashboards.
 
 
 
 
 
 7) Strategic Projects
 
 
 Lead analytics-driven initiatives for margin optimization, automation,
 
 
 and BPR (Business Process Re-engineering).
 
 
 
 
 
 
 Skills &amp; Competencies
 
 
 
  Advanced Excel (Pivot, Power Query, VBA, Macros)
 
 
  Tableau / Power BI for real-time dashboards
 
 
  Quantitative reasoning &amp; strong logical problem-solving
 
 
  Understanding of export documentation, TAT management, and compliance
 
 
  Exposure to tools like Tridge, ICEGATE, and related trade/Exim software is a strong
 
 
 plus (++)
 
 
  Analytical storytelling with attention to business impact
 
 
  Stakeholder collaboration across export finance, logistics, and ops
 
 
  Excellent numerical accuracy and detail orientation
 
 
 
 
 
 
 Educational Background &amp; Experience
 
 
 
  Degree in Commerce, Economics, Statistics, Mathematics, or Business Management
 
 
 (Finance/Operations)
 
 
  Experience: 2&ndash;6 years in business analytics, exports support, MIS, or process
 
 
 excellence
 
 
  Certifications (Preferred): Advanced Excel, Power BI/Tableau, SQL, or Lean Six
 
 
 Sigma
 
 
 
 
 
 
 Core Competencies
 
 
 
  Logical thinking, quantitative modeling &amp; decision analysis
 
 
  Business acumen in exports and supply-chain cycles
 
 
  Process discipline and stakeholder communication
 
 
  Initiative-taking and independent ownership of data-driven solutions
 
 
 
 
 
 
 KPIs &amp; Success Metrics
 
 
 
  Accuracy and turnaround time of analytical reports
 
 
  Efficiency gain from process automation
 
 
  Reduction in export cycle delays and margin slippages
 
 
  Adoption of analytics dashboards across functions
 
 
  Compliance and documentation accuracy
 
 
 
</div>

Business Analyst

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 <ul>
 <li>
 com Data Scientist/Analyst &ndash; Insights, Growth, SEO, and Forecasting
 </li>
 <li>
 com Data Scientists/Analysts are a part of the A.com Digital Media (DMe - Consumer business) and Digital Experience (DX &ndash; Enterprise business) product analytics teams and operate across a broad spectrum of responsibilities such as web analytics, cross-surface data stitching/insights, hypothesis testing &amp; optimization, SEO analytics, forecasting, data modeling, and data sciences. The analysts are responsible for driving deeper customer analytics and insights using Adobe Experience Cloud (i.e., Adobe Analytics, CJA, Adobe Debugger) and Big Data Platform (Hadoop/Hive/DBx) to develop deep and meaningful insights across multiple web surfaces. As a member of the global team, you will be involved in analytics associated with various surfaces like Adobe.com, mobile, web apps, web products, and desktop apps (i.e., Creative Cloud Desktop).
 
 
 </li>
 </ul>
 
 Job Description:
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Location - Noida/Bangalore
 </li>
 <li>
 Experience - 3 to 5 yrs
 </li>
 <li>
 Utilize best-in-class analytics tools, including Adobe Experience Cloud (e.g., Adobe Analytics, CJA, etc.) and Hive/SQL to stitch, assess, interpret, and analyze data to deliver insights and understanding of visitor/customer behavior on key Adobe business surfaces like A.com web, mobile, web apps, desktop apps, products, checkout flows etc.
 </li>
 <li>
 Ability to draw insights from structured and unstructured data. Proactively identify and analyze trends within the data to understand visitor/customer behavior, market dynamics and surface performance using associated business performance metrics like Traffic, CVR, Product mix, High Value Actions, SEO ranking, ARR, Product engagement, LTV, CTR etc.
 </li>
 <li>
 To work with Marketing, Finance, Product, and eCommerce teams to understand end to end customer journeys on various surfaces, draw insights from the same, support RTB process, launch measurements and business targets tracking.
 </li>
 <li>
 Creation, enhancement, and application of various models used across A.com teams for Forecasting, SEO, LTV, Optimization, Next best action/product, Keyword clustering, CTR models and more.
 </li>
 <li>
 Ownership of SEO analytics including SEO data mart and various dashboards, creation, and enhancement of statistical and mathematical models for SEO and update the leadership on the evolutions in the SEO space.
 </li>
 <li>
 Ownership and sound understanding of the business, science and techniques used to set business targets for different Adobe business surfaces using various data science models and forecasting methodologies.
 </li>
 <li>
 Review test hypotheses, help develop comprehensive growth plans and success metrics along with performing quality assurance on test set ups and targeted audiences. Analyze test results and craft meaningful test summaries to provide interpretation, guidance, recommendations, and actionable insights for key business stakeholders.
 </li>
 <li>
 To understand diverse customer intent using voice of the customer analytics and to provide actionable insights for key business stakeholders.
 </li>
 <li>
 Ability to parse, stitch, and draw meaningful insights from different Adobe data sources (online, product usage, financial etc.) to better understand the cross-surface journeys across Adobe.com and Adobe products to optimize for growth and engagement KPI&rsquo;s agreed upon with products teams.
 </li>
 <li>
 Partner with data engineering team to drive creation of reports and dashboards to visually communicate insights effectively. Make complex findings easily understandable, by highlighting key takeaways and actionable recommendations.
 
 
 </li>
 </ul>
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Data Scientist/Analyst

Flipkart

<div>
 
 
 About the team:
 
 
 
 
 
 
 Flipkart is India&rsquo;s largest eCommerce company and is defining eCommerce in the country. Flipkart&rsquo;s vision is to make Analytics and Big Data part of its overarching competitive strategy, and push it up to decision makers at every level. You will partner with business heads for Retail/Marketplace/Supply Chain/Marketing/Product to create enormous impact through the use of the latest analytical tools and techniques. At Flipkart, high focus on impact and ownership allows for freedom for each to experiment and innovate. The ability to see what your contribution does to the business is a rare experience, add to that the fact that the impact of it is felt by your friends and family in India - the experience is extremely gratifying.
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 
 Senior Business Analyst is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders.
 
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 
 
 ● You You will model data in order to create reporting infrastructure/dashboards for business process management and data mining
 
 
 ● You will be closely working with the business/product teams to enable data driven decision making.
 
 
 ● You will execute quantitative analysis that translates data into actionable insights
 
 
 ● You will drive data driven decision making through the stakeholders
 
 
 ● You will influence new opportunities for business based on internal/ external data
 
 
 ● You will drive the team to adopt new and innovative ways of solving business problems
 
 
 
 
 
 
 What you&rsquo;ll need:
 
 
 
 
 
 
 ● Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute
 
 
 ● 3+ Years of experience in relevant role
 
 
 ● Ability to breakdown any problem into components that can be collaboratively solved
 
 
 ● Ability to negotiate on the scope of the problem through business understanding
 
 
 ● Penchant for business and persistence to work with data to derive insights
 
 
 ● Experience in analyzing very large, complex, multi-dimensional data sets
 
 
 ● Ability to find innovative solutions to mitigate dependencies and risks for deliverables
 
 
 ● Ability to independently plan and execute deliveries
 
 
 ● Exceptional written and verbal communication skills
 
 
 ● Ability to multitask and work on a diverse range of requirements
 
 
 
 
 
 
 Technical capabilities:
 
 
 
 
 
 
 ● Expertise in SQL, Excel, other scripting languages (R, Python, etc.)
 
 
 ● Good background in statistical modelling and experience with statistical tools such as R, Python, Spark, SAS or SPSS.
 
 
 
 
 
 
 
 Good to have : working experience with BI tools (Power BI, Tableau, Qlikview, Datastudio, etc)
 
 
 
</div>

Senior Business Analyst

AXA XL

<div>
 
 Specialist, Data Sourcing Solutions
 
 
 
 Gurgaon/Bangalore, India
 
 
 AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable - enabling AXA XL&rsquo;s executive leadership team to maximize benefits and facilitate sustained dynamic advantage. Our Innovation, Data &amp; Analytics function is focused on driving innovation through optimizing how we leverage data to drive strategy and differentiate ourselves from others. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking a Specialist for our Data Sourcing &amp; Solutions team. The role sits across the Innovation, Data &amp; Analytics Department to ensure customer requirements are properly captured and transformed into actionable data specifications. Success in the role will require focus on proactive management of the sourcing and management of data from source through usage. At AXA XL, we view individuals holistically through their People, Business, and Technical Skills. We&rsquo;re interested in what you bring, how you think, and your potential for growth. We value diverse perspectives, recognizing that each person contributes uniquely to our team's success. We welcome candidates with relevant education and experience in a related field, as well as those with diverse educational backgrounds or equivalent experience.
 
 
 
 What You&rsquo;ll Be DOING
 
 
 
 What will your essential responsibilities include?
 
 
 <ul>
 <li>
 Data Sourcing and Vendor Collaboration: Source, evaluate, and acquire data sources that meet customer needs; collaborate with business stakeholders, third-party vendors, and source system teams to align data assets with strategic objectives.
 </li>
 <li>
 Data Integration Architecture and Documentation: Design and implement robust data integration strategies that combine datasets from internal and external sources; document data requirements for ETL processes, APIs and data pipelines to ensure traceability and maintainability.
 </li>
 <li>
 Data Modeling and Solution Development: Develop data solutions and custom data models that address specific business difficulties; translate business requirements into actionable data insights and ensure integration with existing data assets.
 </li>
 <li>
 Data Management, Security, and Accessibility: Oversee organization and governance of data within databases; implement controls to ensure data security, integrity, and timely accessibility for authorized users.
 </li>
 <li>
 Agile Delivery and Backlog Management: Work effectively within an Agile framework; define and prioritize the product backlog; collaborate with Agile teams to deliver business value and satisfy customer needs.
 </li>
 <li>
 Cross-Functional Collaboration: Collaborate with Data Engineers, Data Science, Data Management, Data Governance, Data Quality, BI Solutions, and Stakeholders to deliver end-to-end data solutions.
 </li>
 <li>
 Data Quality Assurance: Implement measures to maintain data accuracy, consistency, and completeness; perform data validation and cleansing as needed to uphold quality standards.
 </li>
 <li>
 Data Governance, Compliance, and Privacy: Adhere to data governance standards; ensure compliance with regulations and internal policies related to data usage and privacy.
 </li>
 <li>
 Technical Proficiency and Innovation: Proficient in SQL, Azure cloud technologies, and Databricks; analyze data to generate actionable insights; stay current with emerging data management technologies.
 </li>
 <li>
 Domain Expertise Development: Develop Insurance domain knowledge to improve understanding of data context and relevance to business problems.
 </li>
 <li>
 Issue Identification and Continuous Improvement: Identify data-related issues, troubleshoot problems, and recommend and implement improvements to sourcing and integration processes.
 </li>
 <li>
 Leadership, Coaching, and Knowledge Sharing: Provide guidance and mentorship to junior analysts and teammates; foster a culture of continuous learning and improvement.
 </li>
 <li>
 Stakeholder Communication and Interpretation: Translate complex technical concepts into clear, non-technical insights to drive data-informed decision-making.
 </li>
 <li>
 Innovation and Continuous Improvement: Explore innovative approaches to data acquisition, integration, and solution development to enhance efficiency and effectiveness.
 </li>
 <li>
 Data Ecosystem Stewardship: Ensure the organization&rsquo;s data ecosystem is robust, well-integrated, and capable of delivering accurate, actionable insights to support a data-driven culture.
 </li>
 <li>
 Customer-First Mindset: Prioritize service to business stakeholders and maintain a customer-first attitude in all data solutions and interactions.
 
 
 </li>
 </ul>
 You will report to Senior Scientist- Sourcing &amp; Profiling.
 
 
 
 What You Will BRING
 
 
 
 We&rsquo;re looking for someone who has these abilities and skills:
 
 
 
 Required Skills And Abilities
 
 
 
 <ul>
 <li>
 Business &amp; Insurance Acumen: Extensive data-related experience in the Insurance sector; deep expertise in data, underwriting, claims, and/or operations; able to influence, collaborate, and lead across complex, inter-related teams with competing priorities.
 </li>
 <li>
 Stakeholder Management: Manages data needs for individual projects while maintaining awareness of broader enterprise data perspectives; engages stakeholders to align on priorities and outcomes.
 </li>
 <li>
 Digital Literacy: Enthusiasm for data-driven decision-making and familiarity with modern digital/data tools and practices to support business goals.
 </li>
 <li>
 Insurance Domain Literacy: Insurance domain literacy: deep experience in data related to underwriting, claims, and/or operations; ability to influence, collaborate, and lead cross-functional teams with competing priorities.
 </li>
 <li>
 Data Culture &amp; Mindset: Data-driven culture and mindset: passion for data and experience working in a data-driven organization.
 </li>
 <li>
 Global Collaboration &amp; Delivery: Global and cross-department collaboration: experience working with team members across the globe and across departments.
 </li>
 <li>
 Innovation &amp; Continuous Improvement: Innovation and continuous improvement: ability to recommend innovations and improvements to policies, procedures, resource deployment, and core activities.
 </li>
 <li>
 Data Analytics: Robust SQL knowledge &amp; Cloud Proficiency (including data brick); ability to work with unstructured data; perform exploratory analysis; integrate internal data with external industry data to deliver holistic solutions; effectively query data sources to derive insights.
 </li>
 <li>
 Data Warehousing: Exposure to Azure cloud technologies (including Databricks) and related data storage/processing environments; capable of supporting data pipelines and data assets across the organization.
 </li>
 <li>
 Troubleshooting &amp; Debugging: (implicit in the ability to identify data-related issues and resolve data sourcing/integration problems) demonstrated through problem-solving and iterative improvement of data processes.
 </li>
 <li>
 Domain &amp; Insurance Knowledge: Insurance data analytics: extensive experience in data roles (business analyst, data analyst, analytics) within the Insurance industry and data division.
 </li>
 <li>
 Data Integration &amp; Interoperability: Data integration: ability to integrate internal data with external industry data to deliver holistic solutions.
 </li>
 <li>
 Unstructured Data Analytics: Unstructured data analytics: work with unstructured data to unlock business insights and develop data-driven insurance products.
 </li>
 <li>
 Data Quality &amp; Governance: Data quality and organization: exceptional organizational skills, attention to detail, and emphasis on data quality and governance.
 </li>
 <li>
 Project Leadership &amp; Delivery: Project ownership and resilience: capability to take ownership, work under pressure, and meet deadlines.
 
 
 </li>
 </ul>
 
 Desired Skills And Abilities
 
 
 
 <ul>
 <li>
 Customer Centricity: Demonstrates excellent presentation, communication (oral &amp; written), and relationship-building skills across all levels of management and customer interaction.
 </li>
 <li>
 Cross Functional Collaboration: Works effectively with colleagues across global teams and multiple departments; builds trust and rapport within and across groups.
 </li>
 <li>
 Analytical &amp; Strategic Mindset: Possesses effective exploratory analysis skills, high intellectual curiosity, and is an outstanding conceptual thinker who can connect dots, think critically, and assess long-term impact.
 </li>
 <li>
 Resilience &amp; Performance Excellence: Takes ownership, works under pressure, and consistently meets deadlines; demonstrates exceptional organizational skills and attention to detail.
 </li>
 <li>
 Growth Mindset &amp; Innovation: Passion for data and a habit of advocating for continuous improvement, innovation, and policy/process enhancements.
 
 
 </li>
 </ul>
 
 Who WE are
 
 
 
 AXA XL, the P&amp;C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don&rsquo;t just provide re/insurance, we reinvent it.
 
 
 How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business &minus; property, casualty, professional, financial lines and specialty.
 
 
 With an innovative and flexible approach to risk solutions, we partner with those who move the world forward.
 
 
 Learn more at axaxl.com
 
 
 
 What we OFFER
 
 
 
 
 Inclusion
 
 
 
 AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That&rsquo;s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential.
 
 It&rsquo;s about helping one another &mdash; and our business &mdash; to move forward and succeed.
 
 
 
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 Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe.
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 Robust support for Flexible Working Arrangements
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 Enhanced family-friendly leave benefits
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 Named to the Diversity Best Practices Index
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 Signatory to the UK Women in Finance Charter
 
 
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 Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer.
 
 
 
 Total Rewards
 
 
 
 AXA XL&rsquo;s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do.
 
 
 We&rsquo;re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence.
 
 
 
 Sustainability
 
 
 
 At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called &ldquo;Roots of resilience&rdquo;, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations.
 
 
 
 Our Pillars
 
 
 
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 Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We&rsquo;re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans.
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 Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions.
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 Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We&rsquo;re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting.
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 AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL&rsquo;s &ldquo;Hearts in Action&rdquo; programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving.
 
 
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 For more information, please see axaxl.com/sustainability.
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Associate Scientist, Data Sourcing & Solutions

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