Data Mining Analyst Jobs in Chennai

Ecommerce Executive / Specialist Department: Ecommerce Location: Chennai Type: Full-time Overview We are seeking a results-driven Ecommerce Executive/Specialist to manage Zebronics online category portfolio across multiple marketplaces. The role focuses on driving sales growth, improving product visibility, executing campaigns, and ensuring operational efficiency across platforms such as Amazon, Flipkart, and other e-commerce channels. The ideal candidate combines analytical skills with strong operational execution to manage multiple SKUs and categories effectively. Key Responsibilities Manage Zebronics category portfolio across e-commerce platforms, ensuring high product visibility and sales performance. Develop and execute platform-specific sales strategies to drive conversions, traffic, and category growth. Coordinate with platform category managers to plan and execute promotions, deals, and campaigns aligned with business goals. Maintain product data accuracy across platforms, updating specifications, images, and new product launches. Monitor and improve content scorecards as per platform guidelines to enhance product visibility and rankings. Plan and implement pricing strategies, discounts, and seasonal campaigns to maximize sales and profitability. Track category-level P&L, analyze spend versus ROI, and ensure profitability while achieving sales targets. Collaborate with finance teams to reconcile claims, commissions, and promotional spends with marketplaces. Analyze sales data, traffic, conversion rates, and platform metrics to identify trends, opportunities, and areas for improvement. Prepare and present weekly/monthly performance reports with insights on sales, growth, and competitive benchmarking. Recommend strategic adjustments to improve revenue and operational efficiency. Work closely with marketing, inventory, finance, and logistics teams to ensure smooth campaign execution and stock management. Liaise with marketplace representatives to resolve operational issues and ensure compliance with platform SLAs and policies. Required Skills & Competencies Strong knowledge of category management, product listing, and e-commerce operations across multiple platforms. Proven experience managing multiple SKUs and ensuring operational efficiency in a fast-paced e-commerce environment. Proficiency in MS Excel (Pivot Tables, VLOOKUP, Data Analysis) for reporting and performance tracking. Strong communication and stakeholder management skills. Ability to multitask, prioritize, and manage multiple projects simultaneously. Analytical mindset with a deep understanding of online consumer behavior and sales funnel optimization.

Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field

Position: Senior Data Conversion Specialist Location: Chennai Department: Publishing Services Job Type: Full-time Industry: E-Publishing About Us At Kriyadocs , we ve partnered with prestigious publishing houses around the world for over 15 years, delivering world-class digital and print content. By leveraging cutting-edge technology, streamlined processes, and deep domain expertise, we simplify publishing workflows from authoring to distribution. Our peer review and production platforms are complemented by services like copyediting, typesetting, and project & author management. Our mission is to create outstanding experiences for authors, publishers, and employees through innovation and technology, helping bring authors work to life and share it with the world. We re driven by a passion for customer-first solutions, and we empower our team to take on challenges, exchange knowledge, and enrich processes across the publishing ecosystem. What It s Like to Work Here We re a fast-growing team of smart, enthusiastic individuals with a can-do attitude. We believe in: Customer-First: We put our customers at the heart of everything we do. Continuous Learning: We embrace innovation and encourage growth. Collaboration: We work as a team, solving challenges together. If you're looking for a place where you can make a real impact, come join us! Role Overview We re looking for an experienced Senior Data Conversion Specialist to join our dynamic team. You ll be responsible for converting content into various formats, ensuring high-quality deliverables while adhering to tight deadlines. Your role involves working with XML, digital technologies, and conversion tools, while collaborating with internal teams and clients to resolve issues and meet project goals. Key Responsibilities Meet daily benchmarks and ensure timely project delivery. Ensure there are no escalations or complaints from internal or external stakeholders. Maintain accurate project records and documentation. Communicate product-related issues with detailed information and improvement suggestions. Use appropriate tools to ensure the quality of delivered content. Deliver final files to clients on specified platforms in a timely manner. Adhere to client Service Level Agreements (SLAs). Evaluate and onboard freelancers/vendors as needed. Study and understand client requirements, create instruction documents, and produce conversion samples. Analyze customer requirements to define tool requirements and document for automation. Work independently or in a team to meet tight deadlines. Skills & Experience Strong knowledge of XML, including both book and journal XML formats. Hands-on experience working with DTD, MathML, and XML editors (Epsilon, XML Exchanger, Oxygen XML, Notepad++, etc.). Familiarity with digital technologies such as XPath, XSLT, Schema, and ePub. Experience with third-party deliverables like PubMed, PMC, Ingenta, HighWire, Atypon, and Crossref. Excellent communication, problem-solving, and analytical skills. Strong attention to detail, ability to maintain quality under pressure, and a proactive learning attitude. Eligibility Criteria Role: Senior Data Conversion Specialist Location: Chennai Experience: 5+ years of related experience in data conversion or a similar field. Qualification: Bachelor's degree preferred. Equivalent years of experience may be considered in lieu of a degree. Qualification : Bachelor's degree preferred

Business Intelligence Lead Experience: 6+ Years Location: Chennai Company: Kaleidofin About Kaleidofin Kaleidofin is a pioneering fintech platform creating a digital ecosystem to provide financial access for everyone, everywhere. Through our ki credit platform, we deliver credit health assessments, middleware integration, advanced risk management dashboards, and debt capital market structuring enabling financial institutions to serve underserved segments like women entrepreneurs, farmers, and MSMEs across India, Bangladesh, and Kenya. With over 6 million customers impacted and more than $3 billion facilitated in debt capital, Kaleidofin is backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures. Recognized internationally by Forbes Asia and the United Nations, and winner of RBI s Swanari TechSprint and G20 TechSprint 2024, we are committed to innovation and impact. Role Overview We are seeking an experienced Business Intelligence Lead to drive data analytics and reporting efforts that inform strategic decisions across risk, credit, compliance, fraud detection, and product performance. The ideal candidate will bring strong leadership, a deep understanding of financial services data, and hands-on expertise in BI tools and data governance. Key Responsibilities Team Leadership & Development Lead and mentor the Data Analytics team; identify skill gaps and implement training plans. Data Analysis & Insights Leverage BI tools (Power BI, Tableau, Looker) to deliver actionable insights that drive business and partner strategies. Develop and optimize dashboards and reports aligned with business goals. Data Visualization & Reporting Create clear, interactive visualizations for diverse stakeholders, ensuring accessibility and timeliness. Manage robust data pipelines using ETL/ELT tools like Informatica, Talend, or Airflow. Collaboration & Stakeholder Management Partner with cross-functional teams to gather data requirements and support executive, regulatory, and product reporting needs. Present insights to senior leadership to promote data-driven decision-making. Process Improvement & Automation Automate routine reporting and continuously enhance BI tools and workflows for efficiency and accuracy. Data Governance & Compliance Maintain data quality standards and governance practices ensuring compliance with data privacy regulations. Interface with auditors and compliance teams as required. KPI Management Achieve >90% data accuracy through audits and corrections. Ensure >80% user adoption of BI products by monitoring engagement metrics. Deliver cost savings by evaluating BI-driven efficiency improvements. Who You Are Bachelor s or Master s degree in Computer Science, Data Science, Information Systems, or related fields. 6+ years in BI, analytics, or data architecture, with 3+ years in leadership or architect roles. Hands-on experience with BI platforms (Power BI, Tableau, Looker) and proficient in SQL querying. Strong knowledge of financial data domains: credit scoring, transactions, KYC, fraud, lending, payments. Experience with credit bureau data (Experian, Equifax, CRIF) preferred. Experience with cloud data platforms (AWS, GCP, Azure) and data warehousing concepts. Familiarity with machine learning applications in BI or data science is a plus. Relevant certifications such as Microsoft Data Analyst Associate or AWS Certified Data Analytics are advantageous. Join a high-impact team revolutionizing financial inclusion. Work with cutting-edge BI technologies in a fast-growing fintech startup. Thrive in a culture that values innovation, collaboration, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Information Systems, or related fields

Business Analyst Scrum Master Location: Chennai Employment Type: Full-Time Job Summary We are seeking a dynamic Business Analyst / Scrum Master to join our team in a hybrid role that bridges business needs with Agile execution. This position demands a proactive individual who can effectively gather and analyze requirements while also driving Agile ceremonies and team collaboration. The ideal candidate will enable efficient solution delivery by aligning stakeholders, refining product backlogs, and ensuring adherence to Agile best practices. Key Responsibilities Business Analysis Engage with stakeholders to gather, document, and analyze business and functional requirements Create detailed user stories, process flows, wireframes, and business cases Perform gap analysis and recommend improvements to existing processes or systems Collaborate with development teams to ensure technical solutions align with business objectives Define KPIs and success metrics for evaluating solution effectiveness Scrum Master Responsibilities Lead Agile ceremonies: Daily Stand-ups, Sprint Planning, Sprint Reviews, and Retrospectives Identify and remove impediments to keep teams moving efficiently Work with Product Owners to groom and prioritize the product backlog Track and report sprint progress using burn-down charts, velocity, and other Agile metrics Foster a culture of continuous improvement and Agile maturity Mentor team members on Agile and Scrum principles Required Skills & Qualifications 6 10 years of experience as a Business Analyst and/or Scrum Master Strong knowledge of Agile methodologies (Scrum, Kanban, SAFe) Proficiency in Agile project management tools: Jira, Confluence, Azure DevOps (preferred), or Trello Excellent communication, stakeholder management, and facilitation skills Proven ability to translate business requirements into actionable development tasks Solid understanding of SDLC and business process modeling Familiarity with SQL, data analysis, and tools like MS Excel, MS Word, etc. Scrum Master Certification (CSM, PSM) is a plus Business Analysis Certification (CBAP, CCBA) is a plus Preferred Qualifications Knowledge of DevOps practices and Agile scaling frameworks (e.g., SAFe, LeSS) Experience working in cross-functional Agile teams within fast-paced environments

Senior Data Scientist AI/ML Location: Chennai About the Team Join the ZF Center of Excellence (COE) team, where we translate complex AI, Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) concepts into impactful solutions. Our team communicates cutting-edge research insights to both technical and non-technical audiences, including presentations at conferences and publications in academic journals. What to Expect in this Role Conduct advanced research to develop innovative AI/ML methodologies, with a focus on DL and RL techniques. Design and execute experiments to validate new approaches and benchmark machine learning algorithms. Analyze complex datasets to discover hidden patterns that drive AI innovation. Stay current with the latest advancements in algorithms, tools, and theoretical frameworks, exploring areas such as model interpretability and efficient deep learning training. Prototype and evaluate advanced models like CNNs, RNNs, and other deep learning architectures. Develop foundational algorithms and frameworks applicable across diverse machine learning challenges. Focus on enhancing model efficiency, reducing bias, and improving explainability. Document research methods, experiments, and theoretical contributions to facilitate knowledge sharing. Shape the team s long-term research vision and strategic goals. Candidate Profile Master s degree in Mathematics, Computer Science, or related fields; PhD is a strong plus. 8+ years of research and development experience with deep knowledge of data structures and algorithms. 5+ years experience deploying ML models in production environments. Proficient with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing and large-scale data processing systems. Strong communication and teamwork skills. Experience contributing to invention disclosures and intellectual property processes. Proven publication record in leading machine learning conferences or journals. Innovative Environment: Work at the forefront of technology with a culture that fosters creativity and continuous growth. Diverse & Inclusive Culture: Thrive in an environment that values diversity, equity, and mutual respect. Career Development: Benefit from extensive training, clear advancement paths, and global project opportunities. Global Presence: Collaborate with international teams and contribute to world-class driveline and chassis technologies. Sustainability Commitment: Play a role in eco-friendly initiatives and reducing environmental impact. Employee Well-being: Enjoy health and wellness programs, flexible work options, and a supportive work-life balance. Join Us Take your AI/ML expertise to the next level with ZF. Apply now for the Senior Data Scientist AI/ML role and contribute to shaping the future of mobility! Our Commitment to Diversity, Equity & Inclusion (DEI) At ZF, we are dedicated to building a culture of inclusion where diversity is celebrated. We work to remove barriers so every employee can thrive and contribute to our shared legacy of innovation and excellence. Qualification : Masters degree in Mathematics, Computer Science, or related fields; PhD is a strong plus

Job Title: Senior Microbiologist Location: Chennai Employment Type: Full-time Company Overview: SGS is the world s leading inspection, verification, testing, and certification company. Known globally for quality and integrity, we employ over 94,000 people across 2,600+ offices and laboratories worldwide. Position Summary: We are seeking a highly skilled Senior Microbiologist to join our Chennai laboratory team. The ideal candidate will have comprehensive experience in microbiological testing, method validation, and compliance with regulatory and quality standards related to food, water, and agricultural products. Key Responsibilities: Perform routine microbiological and biochemical laboratory tasks as assigned Maintain accurate records and documentation per laboratory standards and quality system requirements Complete method validations and compile related data, reports, and spreadsheets Review and confirm test results before forwarding for report generation Ensure strict adherence to laboratory safety protocols for chemical and microbiological work Be flexible to work additional hours or shifts when necessary Assist with audit documentation review and ensure compliance with lab specifications Conduct biological testing operations aligned with lab accreditation standards Work collaboratively within a team while maintaining adaptability to meet quality objectives Focus on microbiological testing in compliance with NABL certification and approvals from EIC and BIS Qualifications: Essential: M.Sc. in Microbiology Desirable: M.Sc. or B.Tech in Chemistry, Biochemistry, Microbiology, Food Technology, or Biotechnology Experience: 4 to 8 years of relevant experience in a commercial testing lab focused on microbiological analysis of natural, food, and agricultural products Strong knowledge of ISO 17025 and regulatory standards including BIS, EIC, APEDA, and NABL Expertise in microbiological test scope assessments per Codex, EU, and FSSAI food product standards Proficiency in spectrophotometry measurements, method optimization, validation, and verification Qualification : M.Sc. or B.Tech in Chemistry, Biochemistry, Microbiology, Food Technology, or Biotechnology

Manager, Country Operations (India) Location: Chennai, India Team: Teleport (AirAsia's logistics arm) Focus: Air Freight Operations, Ground Handling & 3PL Coordination Teleport is reimagining logistics across Asia. Every day, we move cargo through 100+ airports fast, secure, and efficiently. Our goal? Be the go-to end-to-end delivery solutions provider in Asia. To do that, we need leaders who thrive in a fast-paced, startup-like culture. About the Role We're looking for a hands-on Country Operations Manager to take ownership of our air cargo operations in India. You ll lead day-to-day operational performance, work closely with Cargo Terminal Operators (CTOs), ground handling teams, customs, and 3PLs, and act as the key link between strategy and execution. This is a dynamic, multi-disciplinary leadership role with a strong focus on process improvement, stakeholder engagement, and operational excellence. What You'll Be Doing A Day in the Life Operations Management Oversee daily air freight operations: loading, unloading, handling Ensure shipments (including hazardous goods) comply with all legal & safety regulations Conduct toolbox meetings, weekly/monthly ops reviews, and lead operational briefings Maintain SLA adherence for shipment movement and handover Performance & Process Improvement Monitor key KPIs and operational costs (fuel, packaging, etc.) Drive productivity optimization through staffing, capacity, and resource planning Lead new initiatives to reduce CPP (cost per parcel) and enhance delivery timelines Analyze fleet/community budgeting and forecast volumes to scale delivery capacity Stakeholder & Partner Engagement Coordinate with CTOs, airport authorities, freight forwarders, and internal departments Onboard and manage 3PL vendors with performance tracking Respond to customs-related inquiries and ensure timely, compliant declarations Team Leadership & Training Resolve staff conflicts, motivate teams, and handle feedback loops Design and roll out training/coaching programs for ground teams and couriers Implement safety and compliance initiatives to maintain operational integrity What You Need to Succeed Must-Have Skills Excellent communication and interpersonal skills (English fluency required) Strong data accuracy and reporting skills Proficiency in Microsoft Office and operational software High attention to detail accuracy is non-negotiable Hands-on experience leading logistics or operations teams Leadership Style We Value Willing to roll up your sleeves lead by example Biased for action speed > perfection Transparent, proactive communicator Goal-focused, flexible on execution People-first mindset we treat our team with respect and empathy At Teleport by AirAsia, we don t just move cargo we move fast, solve hard problems, and build the future of logistics across Asia. You ll get the chance to lead meaningful projects, work with cross-functional teams, and shape the country-level operations strategy. We embrace diversity and are proud to be an equal opportunity employer. Everyone is welcome here. Apply now and help us change how Asia delivers.

Job Title: Business Analyst Finance (Fresher, Chartered Accountant) Location: Chennai, India Employment Type: Full-Time Experience: Fresher Qualification: Chartered Accountant (CA) Mandatory Job Summary: Ramco Systems invites a proactive and analytical fresher Chartered Accountant to join our team as a Business Analyst Finance. This role is pivotal in managing the lifecycle of financial modules within our ERP system, covering product development, implementation, and post-go-live support. The ideal candidate will combine strong financial expertise with a passion for technology and excellent communication skills, helping align our products with client needs and industry standards. Key Responsibilities: Develop and maintain the product roadmap for ERP financial modules, aligning with business objectives and industry trends. Gather and analyze client financial requirements, translating them into detailed user stories, process flows, and technical specifications. Collaborate closely with product development teams to ensure compliance with accounting standards such as IFRS and GAAP. Drive end-to-end ERP finance module implementation including requirements gathering, data migration, user training, testing, and go-live support. Facilitate workshops and client interactions to document requirements and provide timely solutions. Assist in configuration, testing, and ensuring smooth integration of finance modules with procurement, HR, supply chain, and other ERP components. Develop user manuals, training materials, and conduct training sessions to empower users. Act as the key point of contact for all ERP finance module queries post-implementation. Stay abreast of evolving financial regulations, ERP technologies, and automation trends to recommend product improvements. Educational & Professional Qualifications: Chartered Accountant (CA) qualification is mandatory. Solid understanding of finance functions and operating models including General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Fixed Assets (FA), and Cash Management (CE). Familiarity with ERP systems and finance automation technologies preferred. Professional Skills: Passion for finance automation and emerging technologies. Exposure to client-facing roles or ERP implementation internships is a plus. Excellent verbal and written communication skills with strong facilitation and interpersonal abilities. Proven aptitude for working collaboratively in team settings and engaging effectively with clients. Highly motivated, adaptable, and capable of thriving in a fast-paced, dynamic environment. Willingness to travel internationally as required. Opportunity to work on cutting-edge ERP finance products and influence product development. Collaborative and energetic work culture focused on innovation. Exposure to global clients and cross-functional teams. Growth opportunities in a leading software solutions company.

Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.

Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.

Job Title: Process Analyst Procure to Pay (P2P) Location: Chennai Entity: IBM Consulting Introduction A career in IBM Consulting offers an opportunity to build long-term relationships and work closely with clients worldwide. In this role, you will be part of IBM BPO, leveraging agile methodologies, process mining, and AI-powered workflows to drive digital transformation. Working with visionaries across various industries, you will play a crucial role in enhancing the hybrid cloud and AI journey for some of the most innovative companies globally. IBM's vast technology portfolio, including IBM Software and Red Hat, provides you with the tools and strategic partnerships needed to create impactful solutions for clients. In this role, curiosity and a passion for knowledge are essential for success. You will have mentorship and coaching to encourage you to explore ideas outside of your immediate role, push boundaries, and make a meaningful impact for clients. Our culture prioritizes career growth, learning, and a supportive environment where your unique skills and experiences are valued. Your Role and Responsibilities As a Process Analyst Procure to Pay (P2P), you will be responsible for various financial tasks such as invoice processing, vendor master management, query resolution, and invoice reconciliation. Your role will also involve handling both manual and automatic payment requests. Flexibility to work in shifts is a key requirement for this position. Your primary responsibilities include: Invoice Processing: Recording and maintaining PO and Non-PO invoices, handling both manual and automatic payment requests. Vendor Master Management: Managing end-to-end vendor activities, including creation, changes, verification, cleansing, and identifying duplicate records. Stakeholder Collaboration: Coordinating with stakeholders for coding, approvals, and resolving blocked invoices. Ensuring timely posting in accounting software for payments and expenses. Travel and Expense Claims: Processing travel and expense claims, managing payments, addressing duplicate payment issues, recovering funds, and executing payment proposals. Adherence to SLAs: Ensuring compliance with client Service Level Agreements (SLAs) and meeting specified timelines. Required Education Bachelor s Degree in Commerce or related fields. Preferred Education Master s Degree Required Technical and Professional Expertise Commerce graduate with a minimum of 2-4 years of experience in Accounts Payable. Experience in Invoice and Vendor Management, along with resolving queries and conducting invoice reconciliation. Proven expertise in managing payment reporting and reconciliation activities. Preferred Technical and Professional Experience Proficiency in MS Office applications and experience using ERP software as an end-user. Self-directed, motivated, and able to meet targets effectively. Strong ability to thrive under deadlines, contribute to change management, and collaborate well with team members. How You ll Grow At IBM Consulting, you will be supported by mentors and coaches who will encourage you to challenge norms, investigate new ideas, and provide groundbreaking solutions. Your development is important to us, and you will have access to continuous learning opportunities in an environment that embraces your unique skills and experience. IBM is where you ll find unparalleled opportunities to grow and develop your career. If you re passionate about digital transformation and want to play a role in helping companies innovate and evolve, this is the place for you. Join IBM and be a part of a global team driving change. Qualification : Bachelors Degree in Commerce or related fields.

Operations IT Data Technologist About Dow At Dow, we put people first and are committed to integrity, respect, and safety for our employees, customers, and the planet. We are a diverse community of relentless problem-solvers who thrive on collaboration, innovation, and the pursuit of a sustainable future. By leveraging science and technology, we help transform industries and shape the world we live in. If you're looking for a meaningful and challenging role, you're in the right place. About the Role As an Operations IT Data Technologist, you will play a key role in data management and system optimization within manufacturing facilities. You will lead and support projects, manage SAP Master Data Configuration, and ensure alignment across global operations. This role requires a strong understanding of maintenance and operations, along with expertise in SAP, data analytics, and IT systems. Responsibilities Manage and optimize master data, including the global Maintenance, Repair, and Operating (MRO) supplies catalog and SAP configurations. Ensure data alignment across global manufacturing sites. Lead projects involving data transfer (e.g., moving data to a tenant in case of divestiture). Analyze and improve data processes, utilizing methodologies such as data mining, statistics, visualization, optimization, and simulation. Facilitate collaboration between site maintenance, production leaders, and business end users to drive continuous improvement. Provide expertise in Operations ITOT, ensuring system effectiveness, training, troubleshooting, and targeted improvements. Align global priorities within a defined business process area to maximize value. Qualifications Bachelor s degree in Engineering, Manufacturing, or a related field. 10+ years of experience in maintenance, operations, or IT-related roles in a manufacturing environment. Strong leadership and facilitation skills to drive improvement initiatives. Skills & Technical Expertise SAP BO Data Services (BODS) SAP HANA / LSMW SAP Information Steward Mass data loads in SAP Tableau for data visualization Fluency in English and experience working in a global environment Additional Information Relocation assistance is not available for this position. Flexibility to work across international time zones may be required. Total Rewards & Benefits Competitive Salary & Bonus Equitable and market-competitive pay with performance-based incentives. Career Growth Extensive learning, mentoring, and development opportunities. Retirement & Financial Planning Savings plans, employee stock purchase programs, and financial education resources. Health & Wellbeing Robust medical, life insurance, and mental health support. Flexible Work Culture Role-based flexibility for work-life balance. Parental Leave & Family Support Paid leave for new parents and caregivers. Time Off & Volunteer Programs Paid vacation, volunteering opportunities, and Employee Resource Groups (ERGs). On-Site Fitness & Discounts Gym memberships, shopping discounts, and travel insurance (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science. With 1,000+ employees, our manufacturing sites, innovation centers, and commercial offices drive advancements in packaging, infrastructure, automotive, and consumer care. We are Great Place to Work Certified and actively support Corporate Social Responsibility (CSR) initiatives that empower women, children, and differently-abled individuals through technology and employee volunteerism. Join Our Team & Make an Impact! At Dow, diversity is our strength, and we are committed to equal opportunities for all. If you need any accommodations during the application or interview process, please let us know. Apply now and be part of a global team shaping the future through science and innovation!

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

Job Summary: We are seeking a skilled Procurement and Supply Chain Analyst to assist in procurement and supply chain data analysis to support decision-making and enhance operational efficiency. The ideal candidate will possess experience in PR creation, expedition, processing, and customer support while supporting supplier interactions, contract administration, and data reporting. This role will involve collaborating with the procurement team on a variety of tasks and contributing to the tracking and reporting of departmental KPIs. Key Responsibilities: Assist in procurement and supply chain data analysis to provide actionable insights for decision-making. Support PR creation, expedition, and processing, ensuring smooth operations and timely customer support. Collaborate with the procurement team to efficiently handle tasks related to procurement and supplier interactions. Contribute to tracking and reporting KPIs, ensuring department goals and objectives are being met. Stay informed about industry trends and regulatory changes that impact procurement and supply chain practices. Basic Qualifications: Bachelor s degree in a relevant field or equivalent combination of education and experience. 2+ years of relevant experience in procurement and supply chain. Proven experience in data analysis and procurement support. Strong data-driven decision-making skills and effective communication with vendors. A continuous learner who stays updated with industry knowledge and technology advancements. Other Qualifications: Advanced degree in a relevant field is a plus. Relevant certifications in data analysis or procurement are a plus. Why Join Us? This is an exciting opportunity to contribute to the procurement and supply chain process while enhancing your skills in data analysis and supplier management. If you are a proactive individual with a strong background in procurement support and data analysis, this role will allow you to grow in a dynamic and ever-evolving industry. Qualification : Bachelor's degree in a relevant field or equivalent combination of education and experience.

About Comcast: Comcast is a Fortune 50 leader at the intersection of media and technology. With a focus on innovation, we create groundbreaking entertainment and online experiences for millions of customers worldwide. If you're passionate about teamwork, revolutionizing industries, and leading the future of media and technology, Comcast is the place to grow your career. Job Summary: The Data Analyst will work cross-functionally to collect, analyze, and model data to uncover trends and provide actionable insights. You'll support key business decisions through exploratory analysis, forecasting, and optimization. This role requires in-depth technical expertise, independent prioritization, and clear communication of findings to stakeholders. Core Responsibilities: Data Collection & Analysis: Work with business leaders to understand requirements and develop technical specifications. Retrieve, analyze, and summarize complex data from platforms like Teradata, SQL Server, Hadoop, and AWS. Identify relevant data sources and combine disparate datasets for actionable insights. Exploratory & Predictive Analysis: Conduct exploratory data analysis and hypothesis testing to uncover trends and drivers. Develop forecasting models for key business metrics such as sales and demand. Measure the impact of campaigns, features, or initiatives and identify opportunities for improvement. Visualization & Communication: Create narrative-driven presentations and effective data visualizations for executives and decision-makers. Communicate insights clearly and concisely to influence strategic business decisions. Innovation & Collaboration: Stay updated on trends in analytics, statistics, and machine learning, and apply them to solve business challenges. Promote a culture of knowledge sharing, healthy skepticism, and teamwork within the organization. Customer-Focused Approach: Drive results by integrating feedback from customers and employees via Comcast s Net Promoter System (NPS). Champion the customer experience and advocate for seamless digital interactions. Compliance & Accountability: Adhere to Comcast s Operating Principles and ensure regular, consistent, and punctual attendance. Fulfill additional duties as needed. Qualifications: Must-Have: Proven experience with big data platforms (e.g., Teradata, SQL Server, Hadoop, AWS). Strong proficiency in data analysis, hypothesis testing, and forecasting techniques. Ability to develop clear and compelling data visualizations and presentations. Exceptional problem-solving and independent judgment skills. Preferred: Knowledge of emerging analytics trends, statistics, and machine learning. Experience with business operating frameworks and a results-driven approach. Familiarity with Net Promoter System (NPS) feedback integration. Diversity & Inclusion: We believe diverse perspectives drive innovation and success. Growth-Oriented Culture: We foster an environment of learning and collaboration. Employee Benefits: Comprehensive benefits package, flexible schedules, and career development opportunities. Impactful Work: Be part of an organization that shapes the future of media and technology. Disclaimer: This description provides a general overview of the role. It is not intended to encompass all responsibilities or qualifications. Comcast is proud to be an equal-opportunity workplace, considering all applicants regardless of race, religion, gender, disability, or veteran status.

We are seeking a Senior Data Scientist with experience in various data science techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology. This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models. Responsibilities Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data preprocessing, training, optimization, and evaluation of models Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability Design and conduct experiments to evaluate the performance, robustness, and generalization of machine learning/deep learning models Use appropriate metrics and statistical analysis to measure and interpret results Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders Requirements Bachelor s or master s degree in computer science, Data Science, Statistics, or related field 5 to 8 years of solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP Proficiency in Python Experience Deep Learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Familiarity with cloud services (AWS, Google Cloud, Azure) Excellent written and verbal communication skills Nice to have Proficiency in Docker and Kubernetes We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or masters degree in computer science, Data Science, Statistics, or related field

About ICON: ICON is a world leader in clinical research, providing services to the pharmaceutical, biotechnology, and medical device industries. Our mission is to help improve patients' lives by accelerating the development of life-saving drugs and devices. ICON s commitment to diversity, performance, and development makes us an ideal place for talent to thrive and grow professionally. Role Overview: The Senior Clinical Data Science Programmer will focus on SQL development and visualization design within clinical data management. You will be responsible for designing data management reports, including Clean Patient Trackers, DM Metrics, and Coding Listings, as well as ensuring efficient data flow across various functions. You will collaborate across teams and organizations, using tools like Elluminate, Spotfire, Qlik, and Tableau, to deliver impactful reports and data insights. Key Responsibilities: Technical Data Management: Strong SQL skills in the context of clinical data management, including report generation and data visualization. Design, develop, and maintain Data Management Reports and Listings (Clean Patient Tracker, DM Metrics, Coding Listings). Have an in-depth understanding of end-to-end data flow in clinical data management. Create and manage technical specifications and documentation related to data reporting. Collaboration & Problem Solving: Work effectively in a matrix environment, collaborating across multiple functions and teams. Influence stakeholders and drive data management best practices without authority. Demonstrate leadership and contribute to conflict resolution, team building, and fostering a collaborative work environment. Compliance & Standards: Ensure compliance with Good Clinical Practices (GCP) and relevant regulations. Have strong knowledge of CDISC, SDTM standards, and ensure reports align with these standards. Visualization & Reporting: Lead visualization design and ensure the creation of clear, informative, and actionable data visualizations. Use Elluminate, Spotfire, Qlik, and Tableau to build and maintain dashboards and data visualizations that aid in clinical data analysis. Leadership & Communication: Provide clear and concise communication to stakeholders regarding data findings, issues, and resolutions. Demonstrate excellent problem-solving and conflict resolution skills, fostering strong working relationships. Required Qualifications: Life science graduation or equivalent. 5+ years of experience in clinical data management and programming. Strong expertise in SQL and data visualization tools such as Elluminate, Spotfire, Qlik, Tableau. In-depth experience with Data Management Reports and an understanding of the clinical data management environment. Strong knowledge of CDISC, SDTM standards. Excellent written and oral communication skills. Experience working in the biotechnology or pharmaceutical industry is highly preferred. Benefits of Working at ICON: Competitive salary with variable pay and recognition programs. Comprehensive benefits package: Health insurance, retirement planning, and more. Work-life balance initiatives including flexible country-specific benefits such as childcare vouchers, gym memberships, travel passes, and health assessments. Global Employee Assistance Programme offering 24-hour access to a global network of over 80,000 independent professionals. Life assurance and additional family-focused benefits. Why Choose ICON? At ICON, we believe our people are the key to our success. Join us and be a part of a dynamic, global team that fosters a culture of growth, development, and collaboration. If you are ready to take on an exciting role where you can make a direct impact on the advancement of clinical research, we would love to hear from you. How to Apply: If you're passionate about leveraging data to drive clinical insights and improve patient outcomes, apply now to join the ICON team. Qualification : 5+ years of experience in clinical data management and programming.

About Arcadia: Arcadia is at the forefront of the clean energy revolution, offering innovative software and APIs to help fight the climate crisis. Since its inception in 2014, Arcadia has been on a mission to break the fossil fuel monopoly and unlock decarbonization by connecting consumers and businesses to high-quality clean energy options. With the launch of the Arcadia Platform, an industry-defining SaaS platform, Arcadia is accelerating the transformation from an analog energy system to a digitized network. Arcadia s impact continues to grow, with a $1B valuation and over $500M in capital raised. Role Overview: As a Customer Service Representative at Arcadia, you will play a pivotal role in delivering exceptional customer support. This position requires someone with a passion for technology and clean energy, as you will engage with customers, troubleshoot issues, and help navigate them through energy solutions. If you thrive in a fast-paced environment and enjoy solving complex problems, this role is an ideal fit. Key Responsibilities: Provide outstanding customer support by answering queries and resolving issues via phone and online platforms. Investigate and troubleshoot issues, especially related to utility company accounts and clean energy options. Make phone calls to US utility companies to enroll new accounts or fix broken credentials. Conduct data analysis in MS Excel/Google Sheets to monitor customer accounts. Collaborate with engineers and other team members to address customer issues and improve product offerings. Ensure all customer issues are addressed in a timely, accurate, and efficient manner. Required Qualifications: Fluent English speaker (Level C1 or higher), with strong verbal and written communication skills. 1-2 years of customer service experience, preferably supporting customers via phone. Strong attention to detail and problem-solving skills, with good investigative instincts. Basic proficiency in MS Excel/Google Sheets for data analysis. Availability to work from 7 am - 4 pm ET. What Arcadia Offers: Competitive compensation based on market standards. Hybrid work model with a remote-first policy. Flexible leave policy to accommodate personal needs. Comprehensive medical insurance (1+5 family members), accident coverage, and life insurance. Annual performance cycle with opportunities for rewards and recognition. Quarterly team engagement activities and learning and development programs. A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? Arcadia believes in diversity and individuality, where unique perspectives are valued. If you're passionate about clean energy and want to be part of a team working toward a decarbonized energy grid, Arcadia is the place for you. We foster an inclusive environment where every team member has the opportunity to grow and make a tangible impact. How to Apply: If you are eager to contribute to a clean energy future and enjoy engaging with cutting-edge technology, apply to join Arcadia s team. We re excited to learn how you can help us shape the future of energy.

Job Title: Cyber Security Reporting Analyst Career Level -D2 Introduction to role We are seeking a highly skilled and motivated Cyber Security Data Analyst to join our dynamic Cyber Security Risk & Reporting team. The successful candidate will have extensive experience in Power BI reporting, ETL (Extract, Transform, Load) processes, and AWS S3, and will be responsible for designing, developing, and maintaining our Cyber Security Reporting suite, enabling data-driven decision-making by our senior leaders. This role requires close collaboration with colleagues both within Cyber Security and IT functions across AstraZeneca s Enterprise Services and Business Technology Groups (BTGs). Accountabilities Data Analysis: Perform data analysis to identify trends, patterns, and anomalies. Work with large datasets to extract meaningful information and provide recommendations. Collaborate with business units to understand their data needs and deliver solutions accordingly. ETL Processes: Design, develop, and maintain ETL workflows to extract data from various sources, transform it according to business requirements, and load it into target systems. Ensure data integrity and quality throughout the ETL process. Fix, communicate, and support resolution of any ETL-related issues. Aws s3: Apply AWS S3 for data storage and management. Ensure effective data transfer and integration between AWS S3 and other data systems. Handle and maintain data security and access controls in AWS S3. Power BI Reporting: Develop, design, and maintain interactive Power BI dashboards and reports. Create data visualizations that provide actionable insights to stakeholders. Optimize Power BI models for performance and usability. Collaboration and Communication: Work closely with data and process owners, and business stakeholders to evaluate reporting needs. Communicate findings and insights effectively through presentations and reports. Deliver training and support to users on Power BI and data analysis techniques. Essential Skills/Experience A Bachelor s degree in Data Science, Computer Science, Information Technology, or a related field. 2 years+ experience as a Data Analyst or in a similar role within an IT capacity. High proficiency in Power BI, including DAX, Power Query, and the creation of complex data visualizations. Strong ETL (Extract, Transform, and Load) skills, with experience in tools such as SQL Server Integration Services (SSIS), Informatica, Talend, or similar. Experience using Power Automate to streamline repetitive processes. Experience with AWS S3 for data storage and integration. Solid understanding of databases and SQL. Ability to communicate at multiple levels within an organization and to confidently talk to and represent data sets. Skills and Capabilities Excellent analytical and problem-solving skills. Strong written and verbal communication skills along with the proven ability to present complex, technical information to both technical and non-technical audiences. Experience of autonomous working with direction and goal setting and ability to prioritize, re-schedule and adapt to changes in a dynamic environment. Be valued and respected for teamwork, integrity, and enablement. Desirable Skills/Experience Knowledge of cloud-based data warehousing solutions such as Azure Data Factory or AWS Glue. Familiarity with programming languages such as Python or R. Experience providing and delivering reports and metrics across multiple functions. Knowledge of presentation skills and styles. Experience in the pharmaceutical or healthcare industry. Experience of working in other IT disciplines and across a range of industries and sectors. Experience working in a global organization where stakeholders and team members are geographically dispersed. Qualification : Job Title: Cyber Security Reporting Analyst Career Level -D2 Introduction to role We are seeking a highly skilled and motivated Cyber Security Data Analyst to join our dynamic Cyber Security Risk & Reporting team. The successful candidate will have extensive experience in Power BI reporting, ETL (Extract, Transform, Load) processes, and AWS S3, and will be responsible for designing, developing, and maintaining our Cyber Security Reporting suite, enabling data-driven decision-making by our senior leaders. This role requires close collaboration with colleagues both within Cyber Security and IT functions across AstraZenecas Enterprise Services and Business Technology Groups (BTGs). Accountabilities Data Analysis: Perform data analysis to identify trends, patterns, and anomalies. Work with large datasets to extract meaningful information and provide recommendations. Collaborate with business units to understand their data needs and deliver solutions accordingly. ETL Processes: Design, develop, and maintain ETL workflows to extract data from various sources, transform it according to business requirements, and load it into target systems. Ensure data integrity and quality throughout the ETL process. Fix, communicate, and support resolution of any ETL-related issues. Aws s3: Apply AWS S3 for data storage and management. Ensure effective data transfer and integration between AWS S3 and other data systems. Handle and maintain data security and access controls in AWS S3. Power BI Reporting: Develop, design, and maintain interactive Power BI dashboards and reports. Create data visualizations that provide actionable insights to stakeholders. Optimize Power BI models for performance and usability. Collaboration and Communication: Work closely with data and process owners, and business stakeholders to evaluate reporting needs. Communicate findings and insights effectively through presentations and reports. Deliver training and support to users on Power BI and data analysis techniques. Essential Skills/Experience A Bachelors degree in Data Science, Computer Science, Information Technology, or a related field. 2 years+ experience as a Data Analyst or in a similar role within...