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analyst ii - data (in)

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data analyst

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data analyst / data scientist

data scientist Jobs in  Jobs In Pune Jobs In Pune Jobs In Pune Jobs In Jobs In Pune Jobs In Pune Jobs In Pune Hybrid Jobs In Pune Jobs In Jobs In Pune

data scientist

data analyst data scientist

KNAV US

<div>
 
 About KNAV
 
 
 
 KNAV is a global accounting and consulting firm experienced in all phases to offer a complete suite of public accounting services including set-up, accounting, assurance, taxation, international transfer pricing and business advisory services, as also to facilitate seamless business growth through mergers &amp; acquisitions. The workplace is rapidly evolving in the age of Industry 4.0. The emergence of new technologies like Robotics Process Automation and Artificial Intelligence has a consequential impact on the services that KNAV gives its end clients and how we choose to harness new technologies in our quest to boost the quality and cost of our services. To help improve our performance and add more value to our clients, KNAV endeavours to use the most advanced AI, machine learning, and analytics technologies. KNAV offers challenging work with potential to grow your career.
 
 
 
 Position Overview
 
 
 
 We are seeking a highly motivated
 
 Data Analyst / Data Scientist
 
 with
 
 2&ndash;4 years of experience
 
 in analytics and applied AI/ML. The role requires both independent ownership of analytical tasks and effective collaboration with finance, IT, and cross-functional teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Apply data analytics and machine learning techniques to solve business problems and support decision-making.
 </li>
 <li>
 Write optimized SQL queries and work with relational databases to extract, transform, and analyze data.
 </li>
 <li>
 Use data analytics and visualization tools to perform data cleaning, synthetic data generation, modelling, analysis, and visualization.
 </li>
 <li>
 Design, develop, and maintain dashboards and reports using Power BI and similar tools.
 </li>
 <li>
 Analyse large datasets to identify trends, patterns, and anomalies to support insights generation.
 </li>
 <li>
 Collaborate with finance and IT stakeholders to gather reporting requirements and convert them into analytical solutions or dashboards.
 </li>
 <li>
 Document analytical processes, insights, and project outcomes clearly and concisely.
 </li>
 <li>
 Support embedding of analytical reports into full-stack applications.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in SQL (MS SQL /MySQL/ PostgreSQL).
 </li>
 <li>
 Strong Python programming skills with experience in libraries such as NumPy, Pandas, Matplotlib, Scikit-learn and Random Forest.
 </li>
 <li>
 Hands-on experience with Power BI dashboard creation.
 </li>
 <li>
 Knowledge of MS Excel, Recharts library for React (nice to have).
 
 
 </li>
 </ul>
 
 Analytical &amp; Professional Skills
 
 
 
 <ul>
 <li>
 Strong analytical thinking and problem‑solving abilities.
 </li>
 <li>
 High attention to detail with the ability to detect data patterns and anomalies.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Strong communication skills for working effectively with finance, IT, and business stakeholders.
 </li>
 <li>
 Ability to translate business requirements into technical solutions.
 </li>
 </ul>
</div>

Data Analyst / Data Scientist

Deutsche Telekom

<div>
 
 Deine Aufgabe
 
 
 
 Wir suchen einen
 
 Data Scientist
 
 mit 6-9 Jahren Erfahrung f&uuml;r die Entwicklung und Implementierung fortschrittlicher Machine-Learning-Modelle zur Reduzierung von Kundenabwanderung und Stornierungen. Diese Rolle beinhaltet die enge Zusammenarbeit mit funktions&uuml;bergreifenden Teams, um pr&auml;diktive L&ouml;sungen zu entwickeln, die gef&auml;hrdete Kunden vor Stornierungsereignissen identifizieren und proaktive Bindungsstrategien erm&ouml;glichen.
 
 
 Der Data Scientist spielt eine Schl&uuml;sselrolle bei der End-to-End-Modellentwicklung, von der Datenexploration und Feature-Engineering bis hin zum Training, der Evaluierung und dem Deployment von Modellen in der GCP-Umgebung. Die Arbeit umfasst die Nutzung gro&szlig;er Datenpipelines mit PySpark, die Entwicklung von ML- und Deep-Learning-Modellen mit Python und PyTorch sowie die Zusammenarbeit mit Data Engineering und Fachbereichen, um Produktionsreife und messbaren Gesch&auml;ftserfolg sicherzustellen.
 
 
 W&auml;hrend der anf&auml;ngliche Fokus auf der Reduzierung von Breitband-Auftragsstornierungen liegt, wird das zugrundeliegende ML-Framework so konzipiert, dass es zuk&uuml;nftige Anwendungen wie Kundenlebenszyklusmanagement, Upsell/Cross-Sell-Prognosen und Servicequali&auml;tsanalysen in verschiedenen Gesch&auml;ftsbereichen unterst&uuml;tzt.
 
 
 
 Aufgaben
 
 
 
 <ul>
 <li>
 Durchf&uuml;hrung von Datenexploration und Feature-Engineering auf gro&szlig;en strukturierten und unstrukturierten Datens&auml;tzen
 </li>
 <li>
 Aufbau und Bewertung pr&auml;diktiver ML- und Deep-Learning-Modelle zur Vorhersage von Kundenverhalten, einschlie&szlig;lich Customer Lifetime Value (CLV), Abwanderung und Konversionsneigung
 </li>
 <li>
 Zusammenarbeit mit Data-Engineering-Teams zur Entwicklung skalierbarer Datenpipelines auf Google Cloud Platform (GCP)
 </li>
 <li>
 Zusammenarbeit mit Produkt- und Engineering-Teams, um Datenmodelle und analytische Frameworks mit Gesch&auml;ftszielen abzustimmen
 </li>
 <li>
 &Uuml;bersetzung analytischer Erkenntnisse in umsetzbare Einsichten zur Unterst&uuml;tzung von Marketing- und Bindungsstrategien
 </li>
 <li>
 Beitrag zu MLOps-Praktiken f&uuml;r kontinuierliche Modellverbesserung und -bereitstellung
 </li>
 <li>
 Unterst&uuml;tzung weiterer datengetriebener Initiativen &uuml;ber die Stornierungsvorhersage hinaus, wie Personalisierung, Kundenbindung und Service-Analytik
 
 
 </li>
 </ul>
 
 Dein
 
 Profil
 
 
 
 
 Wir suchen einen erfahrenen
 
 Data Scientist/ML Engineer
 
 mit 6-9 Jahren Erfahrung zur Entwicklung fortschrittlicher Machine-Learning-Modelle f&uuml;r Kundenabwanderungsreduzierung und Bestellstornierungsvorhersage.
 
 
 
 Muss-Kriterien
 
 
 
 <ul>
 <li>
 6-9 Jahre Erfahrung in Data Science oder Machine Learning
 </li>
 <li>
 Erfahrung mit Datenexploration und Feature Engineering auf gro&szlig;en Datens&auml;tzen
 </li>
 <li>
 Kompetenz im Aufbau und der Evaluierung von pr&auml;diktiven ML- und Deep-Learning-Modellen
 </li>
 <li>
 Erfahrung mit Python f&uuml;r Machine-Learning-Entwicklung
 </li>
 <li>
 Erfahrung mit PyTorch f&uuml;r Deep-Learning-Modelle
 </li>
 <li>
 Kenntnisse in PySpark f&uuml;r umfangreiche Datenpipelines
 </li>
 <li>
 Erfahrung in der Arbeit mit Google Cloud Platform (GCP)
 </li>
 <li>
 F&auml;higkeit zur Zusammenarbeit mit funktions&uuml;bergreifenden Teams
 </li>
 <li>
 Erfahrung mit Modellen zur Vorhersage von Kundenverhalten (Churn, CLV, Conversion-Neigung)
 </li>
 <li>
 F&auml;higkeiten, analytische Erkenntnisse in umsetzbare Gesch&auml;ftseinblicke zu &uuml;bersetzen
 
 
 </li>
 </ul>
 
 
 &Uuml;ber uns
 
 
 
 Unternehmensvorstellung &ndash; T-Systems ICT India Pvt. Ltd.
 
 
 
 
 T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.)
 
 ist ein zertifizierter Great Place To Work&reg;, der f&uuml;r seine starke mitarbeiterorientierte Kultur und sein Engagement f&uuml;r Mitarbeiterexzellenz anerkannt ist.
 
 
 Als hundertprozentige Tochtergesellschaft der T-Systems International GmbH ist T-Systems India in Pune und Bangalore t&auml;tig, mit einem dynamischen Team von &uuml;ber 4.200 Fachleuten, die weltweit hochwertige IT-Dienstleistungen f&uuml;r Konzernkunden erbringen.
 
 
 T-Systems India spielt eine Schl&uuml;sselrolle in dieser globalen Vision, indem es integrierte, ganzheitliche IT-L&ouml;sungen und branchenspezifische Software liefert, um die Transformation in verschiedenen Branchen voranzutreiben, darunter:
 
 
 <ul>
 <li>
 Automobilindustrie
 </li>
 <li>
 Fertigung
 </li>
 <li>
 Logistik
 </li>
 <li>
 Transport
 </li>
 <li>
 Gesundheitswesen
 </li>
 <li>
 &Ouml;ffentlicher Sektor
 
 
 </li>
 </ul>
 Seit &uuml;ber 25 Jahren steht
 
 T-Systems International GmbH
 
 an der Spitze der digitalen Innovation, treibt den Fortschritt voran und f&ouml;rdert digitalen Optimismus. Als f&uuml;hrender europ&auml;ischer IT-Dienstleister und stolzer Teil der Deutschen Telekom liefert T-Systems transformative Digitalisierungsprojekte, gest&uuml;tzt auf tiefgreifende Expertise in:
 
 
 <ul>
 <li>
 Beratung
 </li>
 <li>
 Cloud
 </li>
 <li>
 KI
 </li>
 <li>
 Cybersicherheit
 </li>
 <li>
 Konnektivit&auml;t
 
 
 </li>
 </ul>
 Mit einer globalen Belegschaft von 26.000 Mitarbeitern in 26 L&auml;ndern setzen wir Branchenma&szlig;st&auml;be in Effizienz, Souver&auml;nit&auml;t, Sicherheit und Zuverl&auml;ssigkeit &ndash; und bef&auml;higen Organisationen, ihr volles digitales Potenzial zu entfalten.
 
 
 Mit einem Jahresumsatz von &uuml;ber 4,0 Milliarden EUR (2024) ist
 
 T-Systems einer der f&uuml;hrenden Partner f&uuml;r digitale Transformation in Europa
 
 , der sich der Gestaltung der Zukunft der Unternehmenstechnologie verschrieben hat.
 
 
 
 Informationen zur Bewerbung
 
 
 
 Bitte beachte: Betr&uuml;gerische Stellenangebote/Jobbetr&uuml;gereien werden immer h&auml;ufiger. Sei vorsichtig bei irref&uuml;hrenden Anzeigen und betr&uuml;gerischer Kommunikation, die im Namen von T-Systems "Angebotsschreiben" gegen eine Geb&uuml;hr ausstellen. Achte auf eine authentische T-Systems-E-Mail-Adresse - XYZ@t-systems.com .
 
 
 Bleib wachsam. Sch&uuml;tze dich vor Rekrutierungsbetrug!
 
 
 Um mehr zu erfahren, besuche: Betrugswarnung
</div>

Data Scientist (m/w/d)

Rockwell Automation

<div>
 Rockwell Automation is a global technology leader focused on helping the world&rsquo;s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
 
 
 We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that&rsquo;s you we would love to have you join us!
 
 
 
 Job Description
 
 
 
 Data Scientist
 
 
 Pune
 
 
 
 Role Purpose
 
 
 
 The DA&amp;I Data Scientist is a multi-skilled engineer who helps to estimate work, accept stories into delivery increments and complete tasks to deliver the work. Develops advanced AI / ML models to support IoT Foundation infrastructure and Connected Enterprise projects.
 
 
 We are open to hire at Pune, Bangalore, Noida location
 
 
 You will report to ENGINEERING MANAGER IT.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Designs, codes and tests AI / ML and enterprise-wide applications
 </li>
 <li>
 Supports cross-functional development activity in various IoT and Connected Enterprise related projects, for internal and external customers
 </li>
 <li>
 Collaborates with Data Engineer to promote AI / ML to production release
 </li>
 <li>
 Supports Data Analytics and IoT foundation architecture design with AI/ML models and interfaces
 </li>
 <li>
 Assists in the support of a community of Citizen Data Scientists within our Business Units
 </li>
 <li>
 Leverages containerization models and writes high-quality code compliant with regulations
 </li>
 <li>
 Analyzes and improves the efficiency of various systems and services
 </li>
 <li>
 Creates and executes required test scenarios/plans to ensure complete testing
 
 
 </li>
 </ul>
 
 The Essentials - You Will Have
 
 
 
 <ul>
 <li>
 Bachelor's degree in data analytics, software engineering, management information systems, or related field
 </li>
 <li>
 Advanced degree in Data Science, AI/ML or related discipline required (optional or a "plus" if attained with undergraduate)
 </li>
 <li>
 Strong understanding and experience in descriptive through prescriptive level analytics
 </li>
 <li>
 Experience with Agile development methodologies
 </li>
 <li>
 Experience with systems development lifecycle and system/process documentation
 </li>
 <li>
 Experience with server-side architectures
 </li>
 <li>
 Experience with ML Libraries, R, Python, Scala, or related programming languages
 </li>
 <li>
 5+ years of experience implementing data science models in production
 </li>
 <li>
 Familiarity with Edge and Container compute concepts
 </li>
 <li>
 Effectively manage multiple projects simultaneously
 </li>
 <li>
 Excellent understanding of business complexity and project interdependencies
 
 
 </li>
 </ul>
 
 The Preferred - You Might Also Have
 
 
 
 <ul>
 <li>
 To and assist colleagues to work through change and support change management processes
 </li>
 <li>
 Strong team orientation and ability to collaborate with the business and IT organizations
 </li>
 <li>
 Retain and convey a positive attitude in challenging circumstances
 </li>
 <li>
 Act courageously by sharing viewpoints openly and directly with others, providing relevant and timely information and feedback
 </li>
 <li>
 And obtains results through others within Rockwell in a respectful way
 
 
 </li>
 </ul>
 
 IPC - Information Processing Capability
 
 
 
 <ul>
 <li>
 Work on issues of moderate scope where analysis of situations or data requires a review of relevant factors
 </li>
 <li>
 Exercise judgment within defined procedures and practices to determine appropriate action
 </li>
 <li>
 Seek out and embrace relevant perspectives when assessing a situation or making a decision; demonstrate clear understanding of multiple viewpoints
 </li>
 <li>
 Leverage business insights in proposing solutions and facilitating change
 </li>
 <li>
 Manage competing demands, accept criticism and constructive feedback, while being extremely
 </li>
 <li>
 Strong analytical skills; ability to distill information from disparate data sources and the capability to tell the "story" behind it, as well as recommendations for next steps
 
 
 </li>
 </ul>
 
 Accepts Role Requirements
 
 
 
 <ul>
 <li>
 Unwavering commitment to, and the ability to model the standards of behavior set out in our Code of Conduct
 </li>
 <li>
 Enthusiasm for relationship building and partnership across the organization at all levels
 </li>
 <li>
 Values working in a team-oriented culture and building consensus with stakeholders before making key decisions
 </li>
 <li>
 Actively pursues personal continuous learning, development of skills
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 Our benefits package includes &hellip;
 
 
 <ul>
 <li>
 Comprehensive mindfulness programs with a premium membership to Calm
 </li>
 <li>
 Volunteer Paid Time off available after 6 months of employment for eligible employees
 </li>
 <li>
 Company volunteer and donation matching program &ndash; Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Personalized wellbeing programs through our OnTrack program
 </li>
 <li>
 On-demand digital course library for professional development
 </li>
 <li>
 and other local benefits!
 
 
 </li>
 </ul>
 
 At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
 
 
 
 Rockwell Automation&rsquo;s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
 
 
</div>

Data Scientist

OIA GLOBAL

<div>
 
 
 OIA Global
 
 provides customers with an unparalleled suite of scalable and flexible supply chain solutions. Supported by 1,300 forward-thinking employees, we specialize in 3PL, 4PL, sustainability, technology, contract logistics, packaging design and optimization, and raw materials management. Since 1988, we have grown into a $1.3 billion company with a presence in 27 countries and industry expertise in fashion and apparel, consumer goods, healthcare, energy, and industrials. OIA Global is owned by LDI, Ltd., a U.S. based family office with over one hundred years of experience growing manufacturing and logistics businesses.
 
 
 
 
 
 
 Important Note:
 
 OIA Global is part of the LDI, Ltd. family of portfolio companies. OIA Global manages LDI&rsquo;s global shared services team, which supports multiple portfolio companies. This role will be based in the OIA Global offices in Pune but will primarily support Polygon Composites Technology, another LDI portfolio company. The role will interact directly with both OIA Global and Polygon team members.
 
 
 
 
 
 
 Job title: Business Analyst
 
 
 
 
 Location: Pune, India
 
 
 
 
 Reports to: Chief Financial Officer at Polygon (
 
 www.polygoncomposites.com)
 
 
 
 
 
 The Business Analyst role will support Polygon&rsquo;s U.S. operations and leadership team but presents the opportunity to network and learn from a community of peers operating within the broader LDI family of companies, including OIA Global.
 
 
 
 
 
 Polygon Company (&ldquo;Polygon&rdquo;) is a global leader in the design and manufacture of advanced composite materials. Over the last 75 years, Polygon has become a trusted partner to some of the largest brands in the world by providing end-to-end engineering, production, and delivery of high-performance composite parts. Polygon is headquartered in Walkerton, Indiana and operates multiple manufacturing sites in the United States.
 
 
 
 
 
 
 Summary:
 
 
 
 
 
 
 The Business Analyst will be a key member of company&rsquo;s Finance &amp; IT organization, reporting directly to the Chief Financial Officer. This role will serve as a central driver of operational and financial reporting, analytics, and data integrity across the company.
 
 
 
 
 
 In this highly analytical and cross-functional role, the Business Analyst will own the development, maintenance, and continuous improvement of company&rsquo;s core financial and operational reporting, ensuring stakeholders at all levels have access to timely, accurate, and actionable information. This role will act as a bridge between finance, operations, and technology, translating business questions into structured data analysis and scalable reporting solutions.
 
 
 
 
 
 This is an ideal opportunity for someone who enjoys working with complex datasets, building dashboards and automation, and partnering with stakeholders from the shop floor through senior leadership to improve decision-making and execution.
 
 
 
 
 
 
 Supervisory Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 None
 </li>
 </ul>
 
 
 
 
 
 Duties and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Owning and maintaining company&rsquo;s core operational reporting, ensuring consistency, accuracy, and alignment with approved &ldquo;sources of truth&rdquo;
 </li>
 <li>
 Designing, building, and enhancing dashboards and reports in Power BI to support executive, operational, and functional decision-making.
 </li>
 <li>
 Extracting, transforming, and analyzing data from company&rsquo;s ERP system (Syteline) and related relational databases using SQL.
 </li>
 <li>
 Supporting the full analytics workflow: data extraction, validation, analysis, visualization, and recurring reporting.
 </li>
 <li>
 Partnering with the CFO, FP&amp;A, Accounting, and Operations teams to define metrics, KPIs, and reporting standards across the business.
 </li>
 <li>
 Developing and maintaining automated data pipelines, scripts, and workflows (using Python and/or other scripting tools) to reduce manual effort and improve reliability.
 </li>
 <li>
 Supporting month-end and mid-month reporting processes by producing standardized reports and variance analyses.
 </li>
 <li>
 Identifying opportunities to improve data quality, reporting efficiency, and analytical depth across finance and operations.
 </li>
 <li>
 Documenting data definitions, report logic, and processes to ensure transparency, repeatability, and auditability.
 </li>
 <li>
 Responding to ad hoc analytical requests from senior management, translating ambiguous questions into structured analysis.
 </li>
 <li>
 Working closely with IT, ERP administrators, and external partners to ensure data access, security, and system alignment.
 </li>
 <li>
 Handle audits and internal compliance reviews.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Abilities:
 
 
 
 
 
 
 To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
 
 <ul>
 <li>
 Demonstrate strong proficiency in SQL, including working with complex relational data structures.
 </li>
 <li>
 Have hands-on experience building dashboards and reports in Power BI and / or Grafana.
 </li>
 <li>
 Possess working knowledge of Python for data analysis, visualization, and basic automation.
 </li>
 <li>
 Be comfortable working with ERP systems and financial data structures; experience with Syteline or manufacturing ERPs is a plus.
 </li>
 <li>
 Show the ability to translate business questions into clear analytical approaches and communicate insights effectively.
 </li>
 <li>
 Be highly organized, with strong attention to data accuracy, controls, and documentation.
 </li>
 <li>
 General familiarity with manufacturing processes and workflows is preferred but not required.
 </li>
 <li>
 Be comfortable working in a global, cross-time-zone environment with a high degree of ownership and autonomy.
 </li>
 </ul>
 
 
 Education and Experience:
 
 
 
 
 
 <ul>
 <li>
 Holds a Bachelor&rsquo;s degree in Data Analytics, Engineering, Computer Science, Industrial Engineering, Mathematics, or a related field.
 </li>
 <li>
 Bring 2 &ndash; 5+ years of experience in business analytics or a similar data-focused role supporting operations or finance.
 </li>
 <li>
 This role requires strong communication skills and the ability to work effectively with stakeholders ranging from hourly operators to senior executives.
 </li>
 </ul>
 
 
 
 
 OIA Global is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. We offer an exciting and growth-oriented work environment, and OIA employees enjoy competitive salaries and excellent benefits.
 
</div>

Business Analyst

Johnson & Johnson MedTech

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
 
 
 As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
 
 
 
 Job Function
 
 
 
 Data Analytics &amp; Computational Sciences
 
 
 
 Job Sub Function
 
 
 
 Business Intelligence
 
 
 
 Job Category
 
 
 
 Professional
 
 
 
 All Job Posting Locations:
 
 
 
 Pune, Maharashtra, India
 
 
 
 Job Description
 
 
 
 
 Job Description- Sr. Analyst - Data &amp; Analytics
 
 
 
 We are seeking a highly motivated Sr Analyst to join our team of analytics experts in the MedTech Commercial Data &amp; Analytics team. The candidate will primarily work on shaping the data architecture, implement data engineering solutions and support data quality/management for global commercial data lake. This role is also responsible for operations and driving efficiencies. Candidate should be a strong team player and have a consultative approach to problem solving.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Engage and collaborate with business stakeholders to gather and analyze their requirements and translate them into technical specifications for data solutions.
 </li>
 <li>
 Design and construct effective and reliable data engineering solutions with end-to-end project responsibility by closely liaising with business analytics and visualization team
 </li>
 <li>
 Implement data quality checks and testing protocols to ensure the accuracy and reliability of data. Perform integration tests for data pipelines and frameworks, ensuring all elements are rigorously vetted prior to deployment
 </li>
 <li>
 Collaborate with data management teams to ensure right metadata management and data lineage
 </li>
 <li>
 Manage and own weekly, monthly and quarterly data operations activities with necessary due diligence; develop solutions to improve data quality
 </li>
 <li>
 Identify continuous improvement opportunities for the data solutions with focus on performance, scalability and maintainability
 </li>
 <li>
 Maintain high standards for insight generation, data quality, reporting, and timely project execution
 </li>
 <li>
 Communicate, at scale, through multiple mediums &ndash; presentations, dashboards, data-sets and more
 </li>
 <li>
 Maintain documentation on data architecture, solutions and processes
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 A Bachelors&rsquo; degree in computer science, engineering or equivalent is required
 </li>
 <li>
 5+ years working experience in any data engineering and analytics related roles
 </li>
 <li>
 5+ Years of advanced SQL skills
 </li>
 <li>
 2+ Years of Python development experience
 </li>
 <li>
 3+ years experience with Data Modeling
 </li>
 <li>
 Experience analyzing data to discover opportunities and address gaps independently.
 </li>
 <li>
 5+ years experience in custom ETL design, implementation and maintenance.
 </li>
 <li>
 Experience working with cloud platform (i.e. AWS, Azure, or similar)
 </li>
 <li>
 Experience with SQL performance tuning and E2E process optimization.
 </li>
 <li>
 Experience managing cloud infrastructures is preferred
 </li>
 <li>
 Exposure to data science landscape is a plus.
 </li>
 <li>
 Global experience a plus
 </li>
 <li>
 Proven ability to work collaboratively with colleagues across functional areas to deliver results
 </li>
 <li>
 Effective communication &amp; presentation skills. Growth mindset to learn across breadth and depth of technology stacks.
 
 
 </li>
 </ul>
 Johnson &amp; Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
 
 
 
 Required Skills
 
 
 
 
 Preferred Skills:
 
 
 
 Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow Analysis
</div>

Sr. Analyst - Data & Analytics

JumpCloud

<div>
 
 
 All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
 
 
 
 
 
 About JumpCloud
 
 
 JumpCloud&reg; delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
 
 
 
 
 
 
 
 
 
 
 Do you enjoy solving challenging problems using the latest technologies within a great team? Is knowing your work will be highly visible and mission critical a key component for the next step in your career? At JumpCloud, we&rsquo;re looking for best-in-class talent to help define the future of modern identity and device management from the ground up.
 
 
 
 
 
 
 
 About the Role:
 
 
 JumpCloud is looking for
 
 
 an experienced Senior Software Engineer
 
 (L4) to join our growing Security Engineering organization.
 
 
 
 
 
 
 As the identity landscape evolves, we are expanding our capabilities in
 
 
 Identity Threat Detection &amp; Response (ITDR
 
 ). You will be a key technical leader in building the next generation of our active defense platform&mdash;ingesting high-volume risk signals, analyzing threats in real-time, and automating the response to stop attacks. This role sits at the intersection of
 
 
 Distributed Systems, Data Engineering, and Cybersecurity
 
 . You will bridge the gap between "Raw Data" and "Actionable Intelligence," building the infrastructure that powers our future Machine Learning models and empowers SOC analysts to hunt threats.a
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 <ul>
 <li>
 
 Technical Leadership &amp; Architecture:
 
 Lead the high-level architecture and low-level design of new Go microservices. You will break down complex requirements, mentor other engineers, and collaborate with senior technical leaders to manage technical debt and feature detailing
 </li>
 <li>
 
 Build the Decision Engine:
 
 Architect the services that consume data from our risk engine (Kafka) and determine the appropriate system response in milliseconds. You will build modular components that can be shared internally
 </li>
 <li>
 
 "Think Like a SOC Analyst"
 
 : You will design API responses and data structures that provide deep context (scores, lineage, threat details) so IT Admins can investigate incidents without guessing
 </li>
 <li>
 
 Prepare the Runway for ML:
 
 &nbsp; Utilise Machine learning concepts to harness the inhouse data to build solutions for IT Admins.&nbsp;&nbsp;
 </li>
 <li>
 
 Operational Excellence:
 
 Own your services in production. You will define SLIs/SLOs, manage database performance (Postgres/Redis), ensure high availability, and perform upgrades to keep up with modern security best practices
 </li>
 <li>
 
 Strategy &amp; Collaboration:
 
 Partner with the Platform Engineering team to define data contracts. You will help shape the future of our Identity Management services roadmap by participating in planning conversations with Product Managers
 
 </li>
 </ul>
 
 
 
 
 We&rsquo;re looking for:
 
 <ul>
 <li>
 
 8+ years
 
 of backend software development experience
 </li>
 <li>
 
 Expert Proficiency in Go (Golang)
 
 : You understand concurrency patterns, memory management, and how to build services that scale
 </li>
 <li>
 
 Event-Driven Architecture
 
 : Proven experience building systems that consume and produce messages via Kafka, Kinesis, or SQS
 </li>
 <li>
 
 Stream Processing:
 
 Experience with Apache Flink or Spark Streaming
 </li>
 <li>
 
 Database Fluency:
 
 Experience modeling data in both Relational (Postgres) and NoSQL (Redis/DynamoDB) stores
 </li>
 <li>
 
 Cloud Native:
 
 Deep experience with AWS services (Lambda, ECS/EKS) and Infrastructure-as-Code (Terraform)
 </li>
 <li>
 
 ML Infrastructure Interest
 
 : You don't need to be a Data Scientist, but you have a working interest in MLOps or Model Serving. You are excited about building the "pipes" that put ML models into production
 
 </li>
 </ul>
 
 
 
 
 Bonus Points:
 
 <ul>
 <li>
 
 SOC / SIEM Empathy
 
 : Experience building tools for Security Operations Centers. You understand concepts like "False Positive Fatigue," "Triage," and "Incident Context
 </li>
 <li>
 
 Security &amp; Identity
 
 : Exposure to authentication standards (OAuth, OIDC, SAML) or experience building logic for Fraud/Risk engines
 </li>
 <li>
 
 Integrations:
 
 Experience integrating with third-party threat feeds (e.g., GeoIP, IP Reputation)
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Where you&rsquo;ll be working/Location:
 
 
 JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.
 
 
 
 
 
 
 
 You must be located in and authorized to work in the country noted in the job description to be considered for this role.&nbsp;
 
 
 
 
 
 Please note: There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed.
 
 
 
 
 
 
 
 Language:
 
 
 JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.&nbsp; Any additional language requirements will be included in the details of the job description.
 
 
 
 
 
 
 
 Why JumpCloud?
 
 &nbsp;
 
 
 
 If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.&nbsp;&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 One of JumpCloud's three core values is to &ldquo;Build Connections.&rdquo; To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO
 
 
 
 
 &nbsp;
 
 
 
 
 Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud.&nbsp; Please note JumpCloud is not accepting third party resumes at this time.&nbsp; &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 
 
 
 
 
 
 Scam Notice:
 
 
 
 
 
 Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.
 
 
 
 
 
 
 
 All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice"&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 #BI-Remote
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy[hyperlink] for more information about our personal data practices.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Software Engineer, ITDR - India

Deutsche Bank

<div>
 
 Position Overview
 
 
 
 
 Job Title: Lead Business Functional Analyst
 
 
 
 
 Corporate Title: Vice President
 
 
 
 
 Location: Pune, India
 
 
 
 
 Role Description
 
 
 
 <ul>
 <li>
 We are looking for a dynamic and visionary Lead Business Functional Analyst (VP) who can own our product end‑to‑end&mdash;from defining the vision to delivering measurable value. In this leadership role, you will shape the product strategy, maintain a clear and actionable roadmap, and drive high‑quality delivery across cross‑functional teams.
 </li>
 <li>
 You will work closely with business, technology, and control partners to bring impactful solutions to life while fostering a collaborative, outcome‑oriented culture. This is an opportunity to influence decision‑making and contribute meaningfully to Deutsche Bank&rsquo;s mission of creating world‑class Anti‑Financial Crime (AFC) technology.
 </li>
 <li>
 Deutsche Bank Technology is a global team of highly skilled technologists working across multiple hubs. Our mission is to engineer innovative, secure, and scalable solutions at the forefront of financial services. We deeply value technical excellence, diverse talent, and a culture of continuous learning.
 </li>
 <li>
 Within this organisation, AFC Technology builds and maintains the essential tools that help Deutsche Bank prevent, detect, and mitigate financial crime. We enable the global AFC function by delivering systems aligned to stringent regulatory requirements and robust risk‑management standards.
 
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Offer You
 
 
 
 As part of our flexible scheme, here are just some of the benefits that you&rsquo;ll enjoy,
 
 
 <ul>
 <li>
 Best in class leave policy.
 </li>
 <li>
 Gender neutral parental leaves
 </li>
 <li>
 100% reimbursement under childcare assistance benefit (gender neutral)
 </li>
 <li>
 Sponsorship for Industry relevant certifications and education
 </li>
 <li>
 Employee Assistance Program for you and your family members
 </li>
 <li>
 Comprehensive Hospitalization Insurance for you and your dependents
 </li>
 <li>
 Accident and Term life Insurance
 </li>
 <li>
 Complementary Health screening for 35 yrs. and above
 
 
 
 </li>
 </ul>
 
 Your Key Responsibilities
 
 
 
 As a Vice President, your role will include management and leadership responsibilities, such as:
 
 
 <ul>
 <li>
 Owning and managing the product backlog, leading the refinement process and owning the value realisation and measurement for product goals through various metrics and KPIs
 </li>
 <li>
 Collaborating with developers, QA, and business stakeholders to gather requirement, drive development of the solution, managing dependencies across teams and value streams, and to help align teams against a common vision
 </li>
 <li>
 Ongoing management and analysis of the product in the marketplace, definition and development of future releases and manage the business case for change initiatives
 </li>
 <li>
 Conducting detailed data analysis to support decision-making, validate requirements, troubleshoot issues, and define minimal viable products (MVP)
 </li>
 <li>
 Writing and maintaining high-quality Epics, Features and User Stories with clearly defined acceptance criteria including facilitating and contributing to backlog grooming, sprint planning and other ceremonies
 </li>
 <li>
 Create and maintain comprehensive documentation, including requirements, process flows, and user guides. Ensure that documentation is accurate, up-to-date, and accessible to relevant stakeholders
 </li>
 <li>
 Employing data querying and analytical techniques to support the understanding of data and creation of reports and actionable intelligence.
 </li>
 <li>
 Guiding and supporting a small team, providing coaching, feedback, and task coordination
 
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Over 10+ years of hands‑on experience in technical and functional analysis, ideally within financial services or banking
 </li>
 <li>
 Strong expertise in reference data (party, account), payments, messaging protocols (including SWIFT), and data governance
 </li>
 <li>
 Solid understanding of data technologies&mdash;APIs, data flows, data models, multi‑tier systems, and integration challenges
 </li>
 <li>
 Demonstrated excellence in product backlog management and experience working with cloud or hybrid platforms
 </li>
 <li>
 Strong working proficiency on tools like Jira, Confluence, Big-query, programming languages (including Python, SQL), for Cloud / Big Data environment
 </li>
 <li>
 Strong understanding of data governance, data quality, master/reference data management
 </li>
 <li>
 Excellent communication skills, with the ability to interact confidently with senior stakeholders and technical teams
 </li>
 <li>
 Proven ability to work independently in a fast‑paced environment and lead junior team members
 </li>
 <li>
 Ownership mindset with a focus on delivering high-quality, production-ready solutions.
 </li>
 <li>
 Excellent communication and documentation skills, with demonstrable ability to interface and converse at both junior and senior level and with both technical and non-IT staff
 
 
 
 </li>
 </ul>
 
 How We&rsquo;ll Support You
 
 
 
 <ul>
 <li>
 Training and development to help you excel in your career
 </li>
 <li>
 Coaching and support from experts in your team
 </li>
 <li>
 A culture of continuous learning to aid progression
 </li>
 <li>
 A range of flexible benefits that you can tailor to suit your needs
 
 
 
 </li>
 </ul>
 
 About Us And Our Teams
 
 
 
 Please visit our company website for further information:
 
 
 
 https://www.db.com/company/company.html
 
 
 
 We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
 
 
 Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
 
 
 We welcome applications from all people and promote a positive, fair and inclusive work environment.
</div>

Lead Business Functional Analyst, VP

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