Data AND Analytics Jobs in Chennai

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

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

Job Title: Manager / Senior Manager Operations Experience Required: 7 15 Years Job Category: Billing Operations Location: Chennai Eligibility: Graduates from any stream Work Mode: Work from Office Job Summary: We are seeking an experienced and strategic Manager / Senior Manager Operations to lead and oversee our end-to-end Revenue Cycle Management (RCM) operations. This role requires deep domain expertise in medical billing, strong leadership, and the ability to manage teams, clients, and data-driven decision-making effectively. Key Responsibilities: Lead and manage end-to-end RCM processes including Charge Entry, Payment Posting, and AR Management. Oversee daily operations and ensure quality, productivity, and process compliance. Manage and mentor teams; provide guidance, support, and performance feedback. Build strong relationships with clients through effective communication via email and calls. Drive data-driven decision-making through data analysis, report generation, and delivering presentations to management. Contribute to operational planning including transition management and FTE forecasting. Collaborate cross-functionally to improve process efficiency and resolve escalations. Maintain a high standard of professionalism, confidentiality, and integrity. Required Skills & Qualifications: Minimum 12 years of experience in end-to-end RCM operations. At least 3 to 5 years of experience in managing and leading teams. Strong oral and written communication skills. Excellent interpersonal skills and ability to work collaboratively or independently. Proficient in MS Office, especially Excel and PowerPoint. Demonstrated experience in client handling, data reporting, and process transitions. Job Essentials: Hands-on experience with Charge Entry, Payment Posting, and AR functions. Experience in handling client communications and escalations. Expertise in data analytics, reporting, and presenting business insights. Proven track record in transition planning and workforce (FTE) management. Qualification : Graduates from any stream

Position: Junior Manager MIS & Analytics Location: Chennai Experience Required: 2 7 years Education: Graduate / Postgraduate / MBA (any stream) Industry Preference: BFSI / NBFC Role Overview We are looking for a highly analytical and detail-oriented Junior Manager MIS & Analytics to support reporting, dashboard management, and data analysis activities. The role involves working closely with senior leadership and regional teams to drive data-based decision-making and ensure accuracy, timeliness, and usability of business reports. Key Responsibilities Collaborate with National Head, Zonal, State & Branch teams for data management and reporting needs. Gather and analyze business requirements for reports, dashboards, and data solutions. Support in transitioning legacy reports to modern BI tools or centralized systems. Ensure accurate and timely delivery of reports and dashboards across teams. Maintain and improve report performance and data availability for end-users. Provide ad-hoc analytical support and generate insights to support operational decisions. Follow and implement best practices in report design, data structuring, and process repeatability. Manage linear data analysis and maintain reporting precision with minimal supervision. Skills & Competencies Advanced Excel proficiency (including pivot tables, VLOOKUP, formulas, etc.) Strong command of the English language (verbal & written) Excellent data analysis, time management, and organizational skills High attention to detail and process accuracy Ability to prioritize tasks and work under pressure Effective communication and stakeholder management Collaborative team player with strong networking skills Preferred Qualifications Graduate or Postgraduate in any discipline (MBA preferred) 1 3 years of relevant experience in MIS reporting, preferably in BFSI or NBFC sectors Experience with BI tools, basic knowledge of data visualization platforms is a plus A data-centric role working directly with leadership across zones Opportunity to shape data practices and dashboarding for business teams Dynamic, fast-paced work environment with long-term career potential Qualification : Graduate / Postgraduate / MBA (any stream)

Job Title: Chief Manager Strategy Location: Chennai Job Type: Full-Time | Permanent Experience Required: 6 to 10 Years Job Purpose: The Chief Manager Strategy will be responsible for formulating and executing long-term business strategies for TVS Credit, with a strong focus on market dynamics, strategic transformation, and M&A integration. The role includes leading high-impact, cross-functional strategic projects, enabling business turnarounds, and supporting new venture initiatives across the organization. Key Responsibilities: Develop and drive long-term strategic plans (5-year horizon) aligned with company goals, along with medium-term (2 3 years) milestones. Analyze industry trends, competitive landscape, and internal performance to define strategic priorities and business opportunities. Lead cross-functional collaboration with Product, Credit, Operations, Technology, Analytics, HR, and external partners to design and execute strategic initiatives. Conduct detailed market assessments in the NBFC sector to drive transformation across business, technology, organization, and regulatory domains. Translate strategic goals into quantifiable and actionable initiatives with measurable outcomes. Monitor global trends, customer behavior, and innovation in adjacent industries to identify disruptive opportunities and best practices. Collaborate with business transformation teams to ideate and implement new business models and ventures. Lead M&A integration efforts for newly acquired companies, ensuring seamless alignment across functions. Drive strategic projects with a horizontal impact across multiple business verticals and product lines. Travel frequently to Gurugram or other locations for M&A integration, stakeholder meetings, and project execution. Required Qualifications & Experience: MBA from a reputed B-School preferred. 5+ years of experience in Corporate Strategy, Strategic Planning, or Long-Range Planning, preferably in Banking/NBFC/Financial Services. Demonstrated experience in M&A integration, corporate transformation, and business modeling. Key Skills & Attributes: Strong strategic and analytical thinking with sound decision-making capability. Financially astute with deep business acumen and understanding of process improvement. Ability to synthesize complex data and convert it into actionable insights. Excellent executive presence and stakeholder management skills. Strong verbal and written communication; capable of presenting to senior leadership and clients. Proactive, self-driven, and results-oriented with the ability to manage ambiguity. Interest in technology trends and their application in business strategy. Excellent project management, prioritization, and cross-functional leadership skills. Ability to work under pressure and drive initiatives to completion in a fast-paced environment. Be a part of an innovative and rapidly growing organization where strategic thinking and impact-driven leadership are at the core. At TVS Credit, you will work on high-visibility projects that shape the future of our business and drive real results. Qualification : MBA from a reputed B-School preferred

Job Title: Chief Manager Credit Department: Credit Location: Chennai Job Type: Full-Time | Permanent Reporting To: Associate Vice President Credit Job Purpose: The Chief Manager Credit will be responsible for developing, implementing, and overseeing credit policies for the Consumer Durable Loans portfolio. This role requires deep expertise in retail lending risk management, scorecard development, and digital credit decisioning, with a strong understanding of consumer behavior and the dynamics of consumer finance within banks or NBFCs. Key Responsibilities: Policy Development & Risk Management Design and manage credit policies for Consumer Durable Loans across multiple geographies and product lines. Develop rule-based and scorecard-driven underwriting frameworks aligned with market trends and risk appetite. Continuously monitor portfolio performance, delinquencies, and credit costs to ensure portfolio health and suggest timely policy changes. Business Alignment & Collaboration Work closely with OEMs, retailers, and sales finance teams to align credit strategies with business goals. Collaborate with product, technology, and analytics teams to deploy policies effectively across both digital and assisted lending journeys. Provide credit risk inputs for new product launches, business partnerships, and channel strategies. Data-Driven Credit Strategy Leverage bureau data, customer analytics, and alternative data sources to refine credit segmentation and enhance decision accuracy. Drive innovation in credit decisioning through use of digital tools, scorecards, and partner integrations. Governance & Compliance Ensure adherence to internal credit standards, regulatory norms, and audit requirements. Conduct regular reviews of credit policies to ensure relevance and effectiveness. Qualifications & Experience: Educational Qualification: Postgraduate or MBA (Finance preferred). Experience: Minimum 8 years in credit policy, with significant exposure to Consumer Durable Loans in a Bank or NBFC. Key Functional Competencies: Strong understanding of EMI schemes, zero-cost financing, and manufacturer subvention models. Experience working with fintech partners, embedded finance platforms, and POS financing networks. Skilled in credit policy formulation, risk modeling, and scorecard development. Proficient in working with credit bureau data, partner APIs, and digital credit tools. Key Behavioral Competencies: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Proven track record of effective cross-functional collaboration. Technical proficiency in Excel, SQL, and analytics tools such as SAS or Python is preferred. This is a high-impact leadership opportunity in the evolving consumer lending space, where you'll shape credit strategy and risk frameworks at scale, working alongside dynamic teams and partners in a fast-growing environment. Qualification : Postgraduate or MBA (Finance preferred)

Job Title: Senior Manager Consumer Durables Location: Chennai Job Type: Full-Time | Permanent Job Purpose: To support the Consumer Durable (CD) business by monitoring key performance indicators, coordinating with field teams, managing incentives, ensuring adherence to hygiene standards, and driving automation projects. The role aims to optimize operational efficiency and help achieve business growth targets. Key Responsibilities: Track and analyze daily performance metrics for the Consumer Durables business; provide actionable insights to Product and Leadership teams. Collaborate with Field Teams to manage Field Officer (FO) mapping and ensure targets align with the Annual Operating Plan (AOP). Monitor compliance with hygiene parameters such as eKYC, eMandate registrations, and incentive disbursement processes including Field Executive Monthly Incentives (FEMI) and Semi-Annual Executive Monthly Incentives (SEMI). Lead the preparation of field team incentive calculations (maker), coordinating with HR for validation and payouts (checker). Design and implement contests and incentive programs for field teams, particularly during peak seasons like Summer and SON (September November), to drive business momentum. Work closely with the Business Intelligence (BI) team to support and contribute to the development of Tableau dashboards and automate MIS reporting. Qualifications & Experience: Graduate or Postgraduate degree in Business Administration, Finance, or related fields. Minimum 6 years of experience in Sales Operations, Business Support, or Product roles, preferably in the NBFC or Consumer Durables finance sector. Functional Competencies: Strong analytical skills with the ability to interpret and translate complex data into business insights. Excellent communication and interpersonal skills for effective cross-functional collaboration. Experience in working closely with Field Teams and managing MIS and incentive-related functions. Behavioral Competencies: Sound decision-making skills backed by analysis and sound judgment. Strong presentation and articulation abilities. High attention to detail and ability to manage multiple tasks under pressure. Qualification : Graduate or Postgraduate degree in Business Administration, Finance, or related fields

Job Title: Data Engineer Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 to 4 years Job Description Blackstraw Technologies Pvt Ltd is seeking a skilled Data Engineer to join our dynamic team. You will play a crucial role in transforming raw data into actionable insights by designing and maintaining robust data pipelines and systems. Your work will ensure alignment between data infrastructure and business goals, helping to drive efficiency and scalability. You will leverage your analytical skills and proficiency in various programming languages to integrate, process, and optimize data from diverse sources. You will also collaborate closely with data scientists and end-users to support data-driven decision-making. Key Responsibilities Design, build, and integrate data pipelines from multiple sources for analytics and operational purposes. Perform data integration and troubleshoot production and development issues. Develop, automate, and optimize ETL pipelines and workflows. Work with big data technologies including Hive, Spark, and Hadoop; optimize performance for large-scale data processing. Write and maintain efficient Spark/PySpark or Spark/Scala programs. Utilize strong SQL skills for querying and database design. Develop shell scripts (Unix/Linux) to automate data processing tasks. Collaborate with data scientists and various business teams to understand and fulfill data needs. Maintain and deploy ETL code following Agile methodologies. Handle service delivery tickets and provide support related to ETL tools. Participate in root cause analysis and problem resolution for data pipeline issues. Required Skills & Qualifications Bachelor s degree in Computer Science, Information Technology, or related field; Master s degree is a plus. 2 to 4 years of hands-on experience in data engineering or related roles. Strong expertise in ETL development and data integration tools. Proficiency in Spark (PySpark or Scala), Hive, and Hadoop ecosystem. Advanced SQL skills and experience with relational database management systems (RDBMS). Experience with shell scripting in Unix/Linux environments. Familiarity with Java, Python, or Scala programming languages is desirable. Knowledge of Cloud platforms (Azure preferred) is a plus. In-depth understanding of Retail domain data and business processes is advantageous. Excellent analytical, organizational, and communication skills. Experience with Agile project management and teamwork. About Blackstraw Technologies Pvt Ltd Founded in 2015 and fully operational since 2018, Blackstraw Technologies is a global software products and services company specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Our AI platform accelerates data labeling, model training, and deployment across cloud and on-premise environments. Our 250+ member team boasts over 900 years of combined experience, focusing on areas such as computer vision, natural language processing, and deep learning annotation tools. We enable enterprises worldwide to rapidly adopt AI in a cost-effective, plug-and-play manner. Headquartered in Florida, USA, Blackstraw has operations across Canada, the USA, and India. Qualification : Bachelors degree in Computer Science, Information Technology, or related field. Masters degree is a plus.

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: Hardware Integration Engineer Location: Chennai, Tamil Nadu Job Summary We are seeking a skilled and proactive Software Engineer to join our IoT engineering team. The focus will be on building intelligent asset tracking systems using BLE beacons and RFID sensors. The ideal candidate will have hands-on experience with BLE and RFID technologies, GPIO sensor integration, backend development with Java Spring Boot and Python scripting, as well as algorithm design for real-time asset localization and monitoring. This role suits individuals passionate about IoT systems and edge software-to-cloud integration. Key Responsibilities Design and develop asset tracking solutions integrating BLE and RFID readers. Interface with RFID readers and GPIO-based sensors to monitor asset movement and presence. Develop scalable applications using Java Spring Boot to manage device communication, data ingestion, and user-facing APIs. Implement advanced signal processing and filtering algorithms (e.g., MAD, trilateration, interference detection) for precise asset location estimation. Integrate BLE gateway and RFID sensor data into real-time tracking systems. Configure GPIO pins for sensor input, RFID status tracking, and alert generation. Manage data storage, querying, and analytics using MySQL and H2 databases. Develop automated tests and diagnostics to ensure system robustness and reliability. Collaborate with hardware, network, and data science teams for seamless end-to-end solution delivery. Qualifications Minimum 2 years of software development experience in Java (Spring Boot) and Python. Hands-on experience integrating BLE beacons and RFID readers, including working with GPIO interfaces. Strong understanding of signal processing techniques such as RSSI filtering, trilateration, and proximity estimation. Experience integrating hardware (RFID, sensors) with software systems and communication protocols. Proficient in MySQL and optionally H2 database for embedded or lightweight deployments. Excellent debugging, problem-solving, and algorithm design skills.

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!

Position: Sales Development Representative (SDR) About DevRev: DevRev s AgentOS is a purpose-built platform for SaaS companies, featuring three modern CRM apps designed for support, product, and growth teams. It connects end users, sellers, support staff, product teams, and developers, consolidating multiple business apps and converging several teams into one unified platform. Unlike traditional CRMs, DevRev embraces a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to enhance product velocity and reduce customer churn. Thousands of companies rely on DevRev s low-latency analytics and customizable LLMs to succeed in the era of GenAI. Headquartered in Palo Alto, California, DevRev has global offices and has raised $100 million in funding from investors such as Khosla Ventures and Mayfield, at a $1.1 billion valuation. We are proud to be named one of Forbes 2024 America s Best Startup Employers. Founded by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation and help companies thrive in the rapidly evolving AI-driven SaaS landscape. Job Description: We are seeking a motivated and results-driven Sales Development Representative (SDR) to join our dynamic sales team. In this role, you will be responsible for generating and qualifying leads, setting appointments, and helping drive the sales pipeline for DevRev. You will work closely with our sales and marketing teams to ensure our outreach is aligned with customer needs and business goals. Key Responsibilities: Lead Generation: Identify and reach out to potential customers. Qualifying Leads: Assess leads to determine their suitability for sales engagement. Setting Meetings: Arrange virtual meetings between leads and Sales Representatives. Product Knowledge: Understand and clearly communicate the value of DevRev s products. Sales Goals: Meet or exceed sales targets through effective outreach and relationship-building. Data Management: Log all customer interactions and sales activities into the CRM system. Team Collaboration: Work closely with the sales and marketing teams to ensure smooth handoffs and alignment on strategies. Typical Work Week: Research prospects, including company profiles, decision-makers, needs, and contact details. Contact prospects via phone, email, social media, and networking to develop sales opportunities. Set up appointments for leads to meet virtually with the sales team. Maintain accurate and organized sales activity reports within the CRM system. Qualifications: 2+ years of experience in B2B sales or business development. Excellent communicator both written and verbal. Experience setting appointments and developing relationships through social media platforms (e.g., LinkedIn, Twitter). Strong interpersonal skills, with the ability to build and maintain relationships through social networking. Comfortable engaging with senior executives both over the phone and via video (Zoom meetings, webinars, etc.). Familiarity with CRM systems and sales outreach tools (e.g., Outreach, ZoomInfo). You Are: Proactive: You take the initiative and don t wait for direction. Persistent: Rejection doesn t discourage you it fuels you to keep going. An Excellent Communicator: You listen, understand, and communicate your message clearly and concisely. Open to Change: You are inspired by continuous improvement and adaptable to new approaches. Calm Under Pressure: You thrive under pressure, staying productive and focused on solutions. Culture: At DevRev, our culture is built on the values of hunger, humility, honesty, and acting with heart. Our vision is to help build the world s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers.

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

Role Overview: We are seeking an experienced Business Head / Practice Head for the Ideas2IT Consulting Practice. The ideal candidate will have substantial experience in the Indian IT services industry, specifically in areas such as Digital Transformation, Solution Design & Consulting, Pre-Sales, and Customer Advisory. As a leader, you will take end-to-end ownership of the consulting team, collaborating with the Ideas2IT executive team. The role involves overseeing all aspects of the consulting practice, from strategy to execution, with significant responsibilities in Pre-Sales. Why Choose Ideas2IT? At Ideas2IT, we combine the best attributes of both product startups and services companies. With multiple product initiatives and customer-facing projects, you will have exposure to diverse technologies and growth opportunities. As Generative AI (Gen AI) continues to transform industries, we are committed to leveraging these advancements, alongside leading companies like Microsoft. What s in it for You? End-to-End Ownership: Oversee the entire consulting practice, including strategy, execution, offerings, pre-sales, revenues, consulting project execution, and people leadership. Strategic Leadership: Lead the consulting offerings portfolio, defining and maintaining the value proposition. Team Leadership: Set up and manage a central Pre-Sales team that collaborates with sales, practice, and delivery teams to develop proposals and presentations. Thought Leadership: Create value through articles, blogs, lead magnets, and speaker sessions. Impactful Projects: Lead and execute consulting projects, including workshops, assessments, and advisory engagements. What You ll Bring: Industry Experience: 18-20 years of experience in the IT services industry. Consulting Expertise: 10-12 years in consulting, practice, and pre-sales roles, with a deep understanding of Digital Transformation, AI & ML, Data Science, Data Engineering & Analytics, BI, and Cloud technologies. Pre-Sales Proficiency: Hands-on experience in Pre-Sales, working closely with sales and practice teams to develop proposals and presentations. Consulting Leadership: Proven experience in executing consulting projects such as workshops, assessments, and advisory engagements. Project Delivery: Strong knowledge of IT services project execution and delivery, especially in the Global Delivery (Onsite-Nearshore-Offshore) model. Leadership Skills: Outstanding leadership abilities, with excellent communication and collaboration skills. Ability to work as an Individual Contributor and across team boundaries. Domain Expertise: Consulting experience with US customers, particularly in the healthcare sector. Technology Proficiency: Prior experience in custom Application Development with the latest technology stacks, along with knowledge of AI, ML, Gen AI, and LLMs. Industry Knowledge: Domain expertise in healthcare and/or financial services is preferred. About Ideas2IT: Ideas2IT operates at the intersection of Technology, Business, and Product Engineering, delivering high-caliber Product Development services. Initially established as a CTO consulting firm, we have evolved into leaders in cutting-edge technologies like Generative AI, helping our clients embrace innovation. We specialize in applying technology to address real-world business challenges. Our proven track record includes developing AI-driven solutions for industry giants such as Facebook, Bloomberg, Siemens, and Roche. Leveraging our product-centric approach, we ve successfully incubated AI-based startups like Pipecandy, Element5, IdeaRx, and Carefi, all backed by venture capital. With 14 years of remarkable growth, we are committed to pushing boundaries and achieving ambitious objectives. Qualification : 10-12 years of prior experience in consulting, practice and pre-sales related roles

Job Title: Senior Product Manager College Connect Job Overview: The Senior Product Manager for College Connect will spearhead the strategy, design, and deployment of advanced technology solutions to elevate the capabilities of educational institutions. This role requires a seasoned professional with deep expertise in the IT industry to manage end-to-end product lifecycles, drive customer success, and implement transformative solutions powered by emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and cloud computing. The ideal candidate will collaborate across diverse teams to address client needs and deliver innovative educational technology solutions. Qualifications: Master s degree in Data Analytics, Artificial Intelligence, or a related discipline. 20+ years of extensive experience in the IT industry, with expertise in product management, solution sales, and partner engagement. In-depth knowledge and proven track record in emerging technologies such as IoT, AI/ML, cloud computing, and embedded systems. Demonstrated success in managing large-scale technology implementations across industries like manufacturing, automotive, and aerospace. Exceptional communication, leadership, and customer relationship management skills. Key Responsibilities: 1. Product Strategy and Leadership: Develop and execute innovative technology strategies and solutions that align with market needs and institutional objectives in the education sector. Ensure seamless integration of products into customer environments while adhering to industry best practices. 2. Customer Engagement and Success: Build and nurture strong relationships with key clients, ensuring project delivery excellence and achieving superior customer satisfaction. Lead large-scale project implementations while driving measurable outcomes for customers. 3. Innovation and Solution Development: Harness the potential of AI/ML, IoT, and cloud computing to design state-of-the-art products that advance the educational ecosystem. Lead the adoption of new technologies to maintain a competitive edge in the market. 4. Cross-functional Collaboration: Partner with internal teams, external stakeholders, and clients to create impactful and user-focused product offerings. Ensure effective coordination and alignment of cross-disciplinary efforts to achieve business objectives. 5. Data-Driven Insights and Decision Making: Utilize data analytics and AI-driven insights to improve product performance and deliver enhanced outcomes for customers. Champion evidence-based decision-making processes across the organization. This position offers a unique opportunity to lead transformative change in the educational sector through advanced technological innovation, while working at the forefront of emerging trends. Qualification : Masters degree in Data Analytics, Artificial Intelligence, or a related discipline.

About Arcadia: Arcadia is a forward-thinking technology company on a mission to disrupt the traditional energy industry and tackle the climate crisis. Through its innovative software and APIs, Arcadia is democratizing access to clean energy and empowering energy innovators and consumers to create a decarbonized energy grid. With the launch of the Arcadia Platform, a SaaS platform that supports personalized energy experiences, Arcadia is accelerating the transformation from analog to digitized energy systems. With over $1.5B valuation and $380M in funding, Arcadia is setting the stage for a clean energy future. What We re Looking For: We are seeking a Software Engineer with a strong foundation in Core Java to join our fast-paced, high-morale engineering team. The ideal candidate is a problem-solver who approaches challenges holistically and with a long-term perspective. You should thrive in a rapidly changing environment and be comfortable iterating towards solutions and collaborating across departments. This is an exceptional opportunity for someone eager to work with cutting-edge technology to build solutions that expand renewable energy access to millions. Key Responsibilities: Develop and maintain high-quality Java applications, ensuring scalability and performance. Collaborate with Product, Design, Marketing, and Analytics teams to understand business requirements and translate them into technical solutions. Take ownership of the full development cycle: from requirements gathering, design, coding, unit testing, deployment, to delivery. Participate in PR reviews and provide constructive feedback to peers. Debug and troubleshoot issues in the platform, identifying solutions for complex problems. Work in an Agile environment and contribute to a continuous CI/CD process. Ensure adherence to coding best practices and quality standards. Stay proactive and explore unconventional solutions when existing methods fail. Foster a collaborative team environment through open communication and strong interpersonal skills. What You Will Need: 6+ years of experience in software engineering with a strong focus on Core Java. Strong understanding of data structures and debugging skills. Experience with Agile methodologies and working within a CI/CD process. Knowledge of AWS or other cloud platforms and containerization technologies is a plus. Ability to convert business problems into technical solutions and articulate technical challenges to non-technical stakeholders. Excellent communication and interpersonal skills. A self-starter attitude, capable of diving deep into business problems and resolving them effectively. A good academic background is preferred. What Arcadia Offers: Competitive compensation based on market standards. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with opportunities for recognition and rewards. Quarterly team engagement activities to foster a positive work environment. Learning and development programs to advance your professional growth. A supportive engineering culture that values diversity, empathy, and teamwork. Why Arcadia? At Arcadia, we believe in diversity, individuality, and the power of unique perspectives in creating solutions for a clean energy future. As part of our commitment to building an inclusive workplace, we provide reasonable accommodations for individuals with disabilities during the application or interview process. We are proud to offer visa sponsorship opportunities for qualified candidates. How to Apply: If you're excited about working with cutting-edge technology to solve some of the world's most pressing problems, apply now to join Arcadia. We look forward to learning more about how your skills and passion can contribute to our mission. Qualification : 6+ years of experience in software engineering with a strong focus on Core Java.

About Arcadia: Arcadia is a leading technology company focused on solving the climate crisis by empowering energy innovators and consumers. We re revolutionizing the energy industry with our software and APIs, creating access to the data and clean energy necessary for building a decarbonized energy grid. Since our founding in 2014, Arcadia has been working to break the fossil fuel monopoly and offer high-quality clean energy options to consumers and small businesses. Today, we ve launched Arcadia Platform, a SaaS product that is transforming the energy industry into a data-driven network. With a $1.5B valuation and $500M raised, Arcadia is scaling its operations to solve one of the world s most significant challenges. We re building a diverse team of individuals who are passionate about making a difference. Join us in shaping a clean energy future! What We re Looking For: We are seeking a thoughtful, empathetic, and driven Engineering Manager to lead and grow our team of four engineers responsible for building data products for Arcadia s customers and internal stakeholders. You will guide the team to solve complex data engineering and analytics problems, while ensuring their professional growth and development. You will also work closely with the Director of Data and Analytics Engineering to develop roadmaps and strategies that align with the business needs. The role is based in Chennai, India, with a hybrid remote-first approach, and offers the opportunity to shape a world-class data ecosystem in a fast-paced, high-growth environment. What You'll Do: Empower and guide engineers: Lead a team of engineers in solving complex data problems within the energy sector. Work with cross-functional teams: Collaborate with Product, Design, and Marketing teams to define roadmaps and strategies for our Platform business. Drive technical excellence: Contribute to technical discussions and ensure that the team is building scalable data pipelines and assets. Mentor and develop team members: Provide ongoing mentorship, aligning team members skills, interests, and career aspirations with business needs. Facilitate regular feedback and performance discussions. Lead by example: Foster a culture of empathy and humanity while delivering results in a fast-paced environment. Align stakeholder expectations: Represent engineering concerns to ensure alignment with business priorities and goals. What Will Help You Succeed: Must-Haves: 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team. Deep understanding of modern data and analytics engineering practices, with the ability to contribute hands-on when necessary. Experience with Python (in a data orchestration context) and SQL (in a data modeling context). A proven track record of mentoring and growing direct reports through feedback, goal-setting, and career development. Ability to navigate the relationship between Engineering, Product, and Design teams. Nice-to-Haves: Experience with tools and technologies in Arcadia s data stack: Snowflake dbt (or similar Analytics Engineering tools) Prefect (Airflow experience is a plus) AWS, Docker, Kubernetes (basic familiarity) GitHub and GitHub Actions Experience with scalability challenges at fast-growing startups. Familiarity with automating internal processes to improve operational efficiency. Experience with roadmap development and execution. Background in the energy sector or related fields. Benefits: Competitive compensation based on market standards. Hybrid remote-first model, promoting flexibility in work arrangements. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with rewards and recognition. Quarterly team engagement activities to enhance collaboration and team spirit. Learning & Development programs to support continuous growth and skill-building. A supportive engineering culture that emphasizes diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? At Arcadia, we celebrate diversity and believe that unique perspectives are essential to our collective success. We are committed to equal employment opportunities and welcome applicants from all qualified candidates eligible to work in India, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, or protected veteran status. We are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, or employment. Please contact us if you require accommodation. How to Apply: If you are excited about building the next-generation data ecosystem and contributing to Arcadia s mission of a clean energy future, we encourage you to apply. We look forward to learning what you will uniquely bring to our team! Qualification : 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team.

Job Title: Director - Enterprise Head of (ECS) Architecture Career Level - G Introduction to role The Enterprise Head of Enterprise Capabilities & Solutions (ECS) Architecture is responsible for the architecture across the ECS landscape, collaborating with other Heads of Architecture to support AstraZeneca's business and IT strategies. This role involves crafting AZ standards, patterns, and roadmaps, ensuring ECS architectures conform to them. The role partners with key business teams, IT Leadership, and other Heads of Architecture to develop AstraZeneca s Digital and Architectural landscape, aligned with business strategies and visions. Additionally, the role is responsible for key architecture processes such as standards and lifecycle management, drives change across EA, and addresses industry trends in defining AZ s vision. The role also acts as a sponsor or steering group member for multi-functional or enterprise-wide projects. Accountabilities Provide Enterprise Design thinking and support to ECS across the Enterprise, application, and infrastructure domains of architecture. Define the architecture strategy, direction, and standards pertinent to the ECS Segment. Lead the development and execution of Data & Analytics specific architecture capability and strategy. Handle performance and development of a team of Architects across various technology domains to deliver end-to-end architecture solutions. Define architecture strategy and principles, policies, and standards to produce function-specific reference architectures and solutions. Manage relationships with Data & Analytics leadership to influence adoption of enterprise architecture frameworks, standards, and policies. Drive the development of global enterprise standards for the central Architecture & Technology Strategy function. Analyze business data and AI priorities & strategies and translate these into architecture requirements for the enterprise. Act as an authority to the architecture community and the business regarding strategic architecture decisions for ECS. Refine architecture strategies, direction, standards, and patterns as required. Lead the development of Architecture Roadmaps and Blueprints (1-5 Year horizon). Ensure continuous alignment of capabilities with current business priorities and objectives. Chip in to multi-functional decision-making bodies. Act as a sign-off authority for solution and segment architectures as well as architecture blueprints and roadmaps. Champion ECS EA initiatives across IT (and business). Engage and build a network with external architecture authorities to stay updated with the latest trends and technologies in ECS. Act as a strategic architectural advisor for senior IT and Business management. Ensure ECS Architectures align with Global strategies and solutions. Analyze IT industry and market trends to resolve potential impact on the enterprise. Establish partnerships with key ECS technology suppliers. Provide thought leadership and sophisticated technical expertise for enterprise ECS architecture across IT. Drive the continuous development of the Architecture Capability within IT by championing standard process sharing. Partner closely with ECS service/engineering teams in refining architecture patterns, designs, and blueprints. Focus on cost reductions (efficiency). Drive adoption of new technology against the Architecture strategy roadmap (adoption would be the important metric). Manage vendor relationships. Ensure regulatory compliance. Foster team engagement. Essential Skills/Experience Bachelor s degree or equivalent experience in Computer Science or Data Management related field Extensive experience and knowledge of ECS solutions Ability to influence and deliver strategic vision, direction, and planning Blend of data architecture, analysis, and engineering skills Experience in known industry architectural patterns Understanding cloud-based containerization strategies for hybrid cloud environments Knowledge of appropriate data structure and technology based on business use case Experience in using data modeling technologies Desirable Skills/Experience Post-graduate degree in MIS, Data Management Extensive experience in a data architect role with practical examples of designing and providing data engineering blueprints that have been pragmatically implemented Experience in Agile data definition scrums Experience using metadata cataloguing tools Knowledge of Cloud Economics and Forecasting Qualification : Bachelors degree or equivalent experience in Computer Science or Data Management related field

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...